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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 31 /

No. 1: Thirty-First AAAI Conference On Artificial Intelligence

Machine Learning Methods

  • Deep MIML Network

    Ji Feng, Zhi-Hua Zhou

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  • Thompson Sampling for Stochastic Bandits with Graph Feedback

    Aristide Tossou, Christos Dimitrakakis, Devdatt Dubhashi

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  • Unsupervised Domain Adaptation with a Relaxed Covariate Shift Assumption

    Tameem Adel, Han Zhao, Alexander Wong

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  • Optimal Neighborhood Kernel Clustering with Multiple Kernels

    Xinwang Liu, Sihang Zhou, Yueqing Wang, Miaomiao Li, Yong Dou, En Zhu, Jianping Yin

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  • Achieving Privacy in the Adversarial Multi-Armed Bandit

    Aristide Tossou, Christos Dimitrakakis

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  • Multiple Kernel k-Means with Incomplete Kernels

    Xinwang Liu, Miaomiao Li, Lei Wang, Yong Dou, Jianping Yin, En Zhu

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  • Learning Residual Alternating Automata

    Sebastian Berndt, Maciej Li_kiewicz, Matthias Lutter, RŸdiger Reischuk

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  • Robust Loss Functions under Label Noise for Deep Neural Networks

    Aritra Ghosh, Himanshu Kumar, P. S. Sastry

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  • Heavy-Tailed Analogues of the Covariance Matrix for ICA

    Joseph Anderson, Navin Goyal, Anupama Nandi, Luis Rademacher

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  • Continuous Conditional Dependency Network for Structured Regression

    Chao Han, Mohamed Ghalwash, Zoran Obradovic

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  • Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm

    Xiawei Guo, Quanming Yao, James Kwok

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  • The Bernstein Mechanism: Function Release under Differential Privacy

    Francesco Aldˆ, Benjamin Rubinstein

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  • Estimating the Maximum Expected Value in Continuous Reinforcement Learning Problems

    Carlo D'Eramo, Alessandro Nuara, Matteo Pirotta, Marcello Restelli

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  • Variable Kernel Density Estimation in High-Dimensional Feature Spaces

    Christiaan van der Walt, Etienne Barnard

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  • Binary Embedding with Additive Homogeneous Kernels

    Saehoon Kim, Seungjin Choi

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  • Learning Bayesian Networks with Incomplete Data by Augmentation

    Tameem Adel, Cassio de Campos

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  • A General Efficient Hyperparameter-Free Algorithm for Convolutional Sparse Learning

    Zheng Xu, Junzhou Huang

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  • Infinitely Many-Armed Bandits with Budget Constraints

    Haifang Li, Yingce Xia

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  • CBRAP: Contextual Bandits with RAndom Projection

    Xiaotian Yu, Michael R. Lyu, Irwin King

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  • Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming

    Hai-Ming Xu, Hui Xue, Xiao-Hong Chen, Yun-Yun Wang

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  • Large Graph Hashing with Spectral Rotation

    Xuelong Li, Di Hu, Feiping Nie

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  • Fast Compressive Phase Retrieval under Bounded Noise

    Hongyang Zhang, Shan You, Zhouchen Lin, Chao Xu

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  • Adaptive Proximal Average Approximation for Composite Convex Minimization

    Li Shen, Wei Liu, Junzhou Huang, Yu-Gang Jiang, Shiqian Ma

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  • Fast Online Incremental Learning on Mixture Streaming Data

    Yi Wang, Xin Fan, Zhongxuan Luo, Tianzhu Wang, Maomao Min, Jiebo Luo

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  • Multilinear Regression for Embedded Feature Selection with Application to fMRI Analysis

    Xiaonan Song, Haiping Lu

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  • Patch Reordering: A NovelWay to Achieve Rotation and Translation Invariance in Convolutional Neural Networks

    Xu Shen, Xinmei Tian, Shaoyan Sun, Dacheng Tao

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  • From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach

    Sarah Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi, Vinh Nguyen, Christopher Leckie, James Bailey, Kotagiri Ramamohanarao

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  • Latent Discriminant Analysis with Representative Feature Discovery

    Gang Chen

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  • Balanced Clustering with Least Square Regression

    Hanyang Liu, Junwei Han, Feiping Nie, Xuelong Li

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  • Scalable Graph Embedding for Asymmetric Proximity

    Chang Zhou, Yuqiong Liu, Xiaofei Liu, Zhongyi Liu, Jun Gao

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  • TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records

    Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guotong Xie, Junfeng Zhao, Bing Xie, Fei Wang

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  • Active Search for Sparse Signals with Region Sensing

    Yifei Ma, Roman Garnett, Jeff Schneider

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  • How to Train a Compact Binary Neural Network with High Accuracy?

    Wei Tang, Gang Hua, Liang Wang

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  • A Unified Algorithm for One-Cass Structured Matrix Factorization with Side Information

    Hsiang-Fu Yu, Hsin-Yuan Huang, Inderjit Dhillon, Chih-Jen Lin

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  • Bilateral k-Means Algorithm for Fast Co-Clustering

    Junwei Han, Kun Song, Feiping Nie, Xuelong Li

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  • Parameter Free Large Margin Nearest Neighbor for Distance Metric Learning

    Kun Song, Feiping Nie, Junwei Han, Xuelong Li

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  • Deep Collective Inference

    John Moore, Jennifer Neville

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  • Low-Rank Factorization of Determinantal Point Processes

    Mike Gartrell, Ulrich Paquet, Noam Koenigstein

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  • A Riemannian Network for SPD Matrix Learning

    Zhiwu Huang, Luc Van Gool

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  • Multi-View Clustering via Deep Matrix Factorization

    Handong Zhao, Zhengming Ding, Yun Fu

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  • Twin Learning for Similarity and Clustering: A Unified Kernel Approach

    Zhao Kang, Chong Peng, Qiang Cheng

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  • Tsallis Regularized Optimal Transport and Ecological Inference

    Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen

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  • Column Networks for Collective Classification

    Trang Pham, Truyen Tran, Dinh Phung, Svetha Venkatesh

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  • Compressed K-Means for Large-Scale Clustering

    Xiaobo Shen, Weiwei Liu, Ivor Tsang, Fumin Shen, Quan-Sen Sun

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  • Self-Correcting Models for Model-Based Reinforcement Learning

    Erik Talvitie

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  • Online Active Linear Regression via Thresholding

    Carlos Riquelme, Ramesh Johari, Baosen Zhang

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  • Query-Efficient Imitation Learning for End-to-End Simulated Driving

    Jiakai Zhang, Kyunghyun Cho

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  • Deep Hashing: A Joint Approach for Image Signature Learning

    Yadong Mu, Zhu Liu

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  • Deep Learning for Fixed Model Reuse

    Yang Yang, De-Chuan Zhan, Ying Fan, Yuan Jiang, Zhi-Hua Zhou

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  • Learning Safe Prediction for Semi-Supervised Regression

    Yu-Feng Li, Han-Wen Zha, Zhi-Hua Zhou

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  • Streaming Classification with Emerging New Class by Class Matrix Sketching

    Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou

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  • Accelerated Variance Reduced Stochastic ADMM

    Yuanyuan Liu, Fanhua Shang, James Cheng

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  • Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image Classification

    Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Di Wu, Li Cheng, Sen Li, Ruimin Hu

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  • Lifted Inference for Convex Quadratic Programs

    Martin Mladenov, Leonard Kleinhans, Kristian Kersting

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  • Fast Generalized Distillation for Semi-Supervised Domain Adaptation

    Shuang Ao, Xiang Li, Charles Ling

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  • Sampling Beats Fixed Estimate Predictors for Cloning Stochastic Behavior in Multiagent Systems

    Brian Hrolenok, Byron Boots, Tucker Balch

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  • Multivariate Hawkes Processes for Large-Scale Inference

    RŽmi Lemonnier, Kevin Scaman, Argyris Kalogeratos

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  • Self-Paced Multi-Task Learning

    Changsheng Li, Junchi Yan, Fan Wei, Weishan Dong, Qingshan Liu, Hongyuan Zha

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  • Poisson Sum-Product Networks: A Deep Architecture for Tractable Multivariate Poisson Distributions

    Alejandro Molina, Sriraam Natarajan, Kristian Kersting

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  • Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee

    Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang

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  • Asymmetric Discrete Graph Hashing

    Xiaoshuang Shi, Fuyong Xing, Kaidi Xu, Manish Sapkota, Lin Yang

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  • Probabilistic Non-Negative Matrix Factorization and Its Robust Extensions for Topic Modeling

    Minnan Luo, Feiping Nie, Xiaojun Chang, Yi Yang, Alexander Hauptmann, Qinghua Zheng

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  • Learning Non-Linear Dynamics of Decision Boundaries for Maintaining Classification Performance

    Atsutoshi Kumagai, Tomoharu Iwata

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  • Matching Node Embeddings for Graph Similarity

    Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis

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  • A Framework of Online Learning with Imbalanced Streaming Data

    Yan Yan, Tianbao Yang, Yi Yang, Jianhui Chen

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  • Discover Multiple Novel Labels in Multi-Instance Multi-Label Learning

    Yue Zhu, Kai Ming Ting, Zhi-Hua Zhou

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  • On Learning High Dimensional Structured Single Index Models

    Ravi Ganti, Nikhil Rao, Laura Balzano, Rebecca Willett, Robert Nowak

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  • A Nearly-Black-Box Online Algorithm for Joint Parameter and State Estimation in Temporal Models

    Yusuf Erol, Yi Wu, Lei Li, Stuart Russell

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  • A General Framework for Sparsity Regularized Feature Selection via Iteratively Reweighted Least Square Minimization

    Hanyang Peng, Yong Fan

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  • Generalized Ambiguity Decompositions for Classification with Applications in Active Learning and Unsupervised Ensemble Pruning

    Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu

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  • Polynomial Optimization Methods for Matrix Factorization

    Po-Wei Wang, Chun-Liang Li, J. Kolter

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  • Scalable Multitask Policy Gradient Reinforcement Learning

    Salam El Bsat, Haitham Bou Ammar, Matthew Taylor

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  • Asynchronous Mini-Batch Gradient Descent with Variance Reduction for Non-Convex Optimization

    Zhouyuan Huo, Heng Huang

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  • Estimating Uncertainty Online Against an Adversary

    Volodymyr Kuleshov, Stefano Ermon

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  • Scalable Optimization of Multivariate Performance Measures in Multi-instance Multi-label Learning

    Apoorv Aggarwal, Sandip Ghoshal, Ankith Shetty, Suhit Sinha, Ganesh Ramakrishnan, Purushottam Kar, Prateek Jain

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  • Multiclass Capped _p-Norm SVM for Robust Classifications

    Feiping Nie, Xiaoqian Wang, Heng Huang

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  • Where to Add Actions in Human-in-the-Loop Reinforcement Learning

    Travis Mandel, Yun-En Liu, Emma Brunskill, Zoran Popovi_

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  • Semi-Supervised Classifications via Elastic and Robust Embedding

    Yun Liu, Yiming Guo, Hua Wang, Feiping Nie, Heng Huang

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  • The Multivariate Generalised von Mises Distribution: Inference and Applications

    Alexandre Navarro, Jes Frellsen, Richard Turner

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  • Local Centroids Structured Non-Negative Matrix Factorization

    Hongchang Gao, Feiping Nie, Heng Huang

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  • Active Search in Intensionally Specified Structured Spaces

    Dino Oglic, Roman Garnett, Thomas Gaertner

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  • Distributed Negative Sampling for Word Embeddings

    Stergios Stergiou, Zygimantas Straznickas, Rolina Wu, Kostas Tsioutsiouliklis

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  • Robust Partially-Compressed Least-Squares

    Stephen Becker, Ban Kawas, Marek Petrik

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  • Efficient Ordered Combinatorial Semi-Bandits for Whole-Page Recommendation

    Yingfei Wang, Hua Ouyang, Chu Wang, Jianhui Chen, Tsvetan Asamov, Yi Chang

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  • Factorization Bandits for Interactive Recommendation

    Huazheng Wang, Qingyun Wu, Hongning Wang

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  • Recovering True Classifier Performance in Positive-Unlabeled Learning

    Shantanu Jain, Martha White, Predrag Radivojac

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  • Label-Free Supervision of Neural Networks with Physics and Domain Knowledge

    Russell Stewart, Stefano Ermon

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  • Cleaning the Null Space: A Privacy Mechanism for Predictors

    Ke Xu, Tongyi Cao, Swair Shah, Crystal Maung, Haim Schweitzer

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  • Importance Sampling with Unequal Support

    Philip Thomas, Emma Brunskill

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  • Automatic Curriculum Graph Generation for Reinforcement Learning Agents

    Maxwell Svetlik, Matteo Leonetti, Jivko Sinapov, Rishi Shah, Nick Walker, Peter Stone

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  • SCOPE: Scalable Composite Optimization for Learning on Spark

    Shen-Yi Zhao, Ru Xiang, Ying-Hao Shi, Peng Gao, Wu-Jun Li

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  • Sequential Classification-Based Optimization for Direct Policy Search

    Yi-Qi Hu, Hong Qian, Yang Yu

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  • Learning Unitary Operators with Help From u(n)

    Stephanie Hyland, Gunnar RŠtsch

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  • Scalable Feature Selection via Distributed Diversity Maximization

    Sepehr Zadeh, Mehrdad Ghadiri, Vahab Mirrokni, Morteza Zadimoghaddam

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  • Non-Negative Inductive Matrix Completion for Discrete Dyadic Data

    Piyush Rai

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  • Selecting Sequences of Items via Submodular Maximization

    Sebastian Tschiatschek, Adish Singla, Andreas Krause

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  • Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning

    Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu

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  • Lock-Free Optimization for Non-Convex Problems

    Shen-Yi Zhao, Gong-Duo Zhang, Wu-Jun Li

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  • Weighted Bandits or: How Bandits Learn Distorted Values That Are Not Expected

    Aditya Gopalan, Prashanth L. A., Michael Fu, Steve Marcus

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  • Coactive Critiquing: Elicitation of Preferences and Features

    Stefano Teso, Paolo Dragone, Andrea Passerini

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  • The Option-Critic Architecture

    Pierre-Luc Bacon, Jean Harb, Doina Precup

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  • Resource Constrained Structured Prediction

    Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama

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  • Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling

    Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi

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  • Approximate Conditional Gradient Descent on Multi-Class Classification

    Zhuanghua Liu, Ivor Tsang

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  • Communication Lower Bounds for Distributed Convex Optimization: Partition Data on Features

    Zihao Chen, Luo Luo, Zhihua Zhang

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  • When and Why Are Deep Networks Better Than Shallow Ones?

    Hrushikesh Mhaskar, Qianli Liao, Tomaso Poggio

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  • Policy Search with High-Dimensional Context Variables

    Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama

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  • Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction

    Qi Meng, Wei Chen, Jingcheng Yu, Taifeng Wang, Zhi-Ming Ma, Tie-Yan Liu

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  • Dynamic Action Repetition for Deep Reinforcement Learning

    Aravind Lakshminarayanan, Sahil Sharma, Balaraman Ravindran

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  • Generalization Error Bounds for Optimization Algorithms via Stability

    Qi Meng, Yue Wang, Wei Chen, Taifeng Wang, Zhi-Ming Ma, Tie-Yan Liu

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  • Modeling Skewed Class Distributions by Reshaping the Concept Space

    Kyle Feuz, Diane Cook

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  • A General Clustering Agreement Index: For Comparing Disjoint and Overlapping Clusters

    Reihaneh Rabbany, Osmar Za•ane

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  • Ordinal Constrained Binary Code Learning for Nearest Neighbor Search

    Hong Liu, Rongrong Ji, Yongjian Wu, Feiyue Huang

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  • Transfer Learning for Deep Learning on Graph-Structured Data

    Jaekoo Lee, Hyunjae Kim, Jongsun Lee, Sungroh Yoon

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  • Cross-Domain Kernel Induction for Transfer Learning

    Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang

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  • Alternating Back-Propagation for Generator Network

    Tian Han, Yang Lu, Song-Chun Zhu, Ying Nian Wu

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  • A Two-Stage Approach for Learning a Sparse Model with Sharp Excess Risk Analysis

    Zhe Li, Tianbao Yang, Lijun Zhang, Rong Jin

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  • Multi-View Clustering and Semi-Supervised Classification with Adaptive Neighbours

    Feiping Nie, Guohao Cai, Xuelong Li

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  • Label Efficient Learning by Exploiting Multi-Class Output Codes

    Maria Balcan, Travis Dick, Yishay Mansour

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  • Addressing Imbalance in Multi-Label Classification Using Structured Hellinger Forests

    Zachary Daniels, Dimitris Metaxas

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  • Beyond RPCA: Flattening Complex Noise in the Frequency Domain

    Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao

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  • Spectral Clustering with Brainstorming Process for Multi-View Data

    Jeong-Woo Son, Junkey Jeon, Alex Lee, Sun-Joong Kim

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  • Two-Dimensional PCA with F-Norm Minimization

    Qianqian Wang, Quanxue Gao

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  • Classification with Minimax Distance Measures

    Morteza Haghir Chehreghani

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  • Transfer Reinforcement Learning with Shared Dynamics

    Romain Laroche, Merwan Barlier

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  • Unimodal Thompson Sampling for Graph-Structured Arms

    Stefano Paladino, Francesco Trov˜, Marcello Restelli, Nicola Gatti

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  • Rank Ordering Constraints Elimination with Application for Kernel Learning

    Ying Xie, Chris Ding, Yihong Gong, Zongze Wu

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  • An Exact Penalty Method for Binary Optimization Based on MPEC Formulation

    Ganzhao Yuan, Bernard Ghanem

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  • Latent Smooth Skeleton Embedding

    Li Wang, Qi Mao, Ivor Tsang

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  • Enumerate Lasso Solutions for Feature Selection

    Satoshi Hara, Takanori Maehara

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  • One-Step Spectral Clustering via Dynamically Learning Affinity Matrix and Subspace

    Xiaofeng Zhu, Wei He, Yonggang Li, Yang Yang, Shichao Zhang, Rongyao Hu, Yonghua Zhu

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  • Regularization for Unsupervised Deep Neural Nets

    Baiyang Wang, Diego Klabjan

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  • Convex Co-Embedding for Matrix Completion with Predictive Side Information

    Yuhong Guo

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  • Improving Efficiency of SVM k-Fold Cross-Validation by Alpha Seeding

    Zeyi Wen, Bin Li, Ramamohanarao Kotagiri, Jian Chen, Yawen Chen, Rui Zhang

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  • Learning Invariant Deep Representation for NIR-VIS Face Recognition

    Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan

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  • Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting

    Lin Chen, Hamed Hassani, Amin Karbasi

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  • Generalization Analysis for Ranking Using Integral Operator

    Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang

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  • Parametric Dual Maximization for Non-Convex Learning Problems

    Yuxun Zhou, Zhaoyi Kang, Costas Spanos

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  • Sparse Subspace Clustering by Learning Approximation _0 Codes

    Jun Li, Yu Kong, Yun Fu

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  • Structure Regularized Unsupervised Discriminant Feature Analysis

    Mingyu Fan, Xiaojun Chang, Dacheng Tao

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  • Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting

    Xutao Li, Yunming Ye, Xiaofei Xu

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  • Denoising Criterion for Variational Auto-Encoding Framework

    Daniel Im Im, Sungjin Ahn, Roland Memisevic, Yoshua Bengio

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  • Exploring Commonality and Individuality for Multi-Modal Curriculum Learning

    Chen Gong

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  • Confidence-Rated Discriminative Partial Label Learning

    Cai-Zhi Tang, Min-Ling Zhang

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  • A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression

    Quang Minh Hoang, Trong Nghia Hoang, Kian Hsiang Low

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  • Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis

    Zhourong Chen, Nevin Zhang, Dit-Yan Yeung, Peixian Chen

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  • Cost-Sensitive Feature Selection via F-Measure Optimization Reduction

    Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao

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  • Infinite Kernel Learning: Generalization Bounds and Algorithms

    Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang

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  • Unbiased Multivariate Correlation Analysis

    Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia

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  • Structured Inference Networks for Nonlinear State Space Models

    Rahul Krishnan, Uri Shalit, David Sontag

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  • Learning Deep Latent Space for Multi-Label Classification

    Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang

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  • Universum Prescription: Regularization Using Unlabeled Data

    Xiang Zhang, Yann LeCun

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  • Learning Sparse Task Relations in Multi-Task Learning

    Yu Zhang, Qiang Yang

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  • Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration

    Himabindu Lakkaraju, Ece Kamar, Rich Caruana, Eric Horvitz

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  • Cross-Domain Ranking via Latent Space Learning

    Jie Tang, Wendy Hall

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  • Accelerated Gradient Temporal Difference Learning

    Yangchen Pan, Adam White, Martha White

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  • Playing FPS Games with Deep Reinforcement Learning

    Guillaume Lample, Devendra Singh Chaplot

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  • Distant Domain Transfer Learning

    Ben Tan, Yu Zhang, Sinno Pan, Qiang Yang

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  • Cascade Subspace Clustering

    Xi Peng, Jiashi Feng, Jiwen Lu, Wei-Yun Yau, Zhang Yi

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  • Random Features for Shift-Invariant Kernels with Moment Matching

    Weiwei Shen, Zhihui Yang, Jun Wang

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  • Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation

    Peng Hou, Xin Geng, Zeng-Wei Huo, Jia-Qi Lv

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  • Multi-View Correlated Feature Learning by Uncovering Shared Component

    Xiaowei Xue, Feiping Nie, Sen Wang, Xiaojun Chang, Bela Stantic, Min Yao

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  • OFFER: Off-Environment Reinforcement Learning

    Kamil Ciosek, Shimon Whiteson

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  • Bilinear Probabilistic Canonical Correlation Analysis via Hybrid Concatenations

    Yang Zhou, Haiping Lu, Yiu-ming Cheung

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  • Unsupervised Learning with Truncated Gaussian Graphical Models

    Qinliang Su, Xuejun Liao, Chunyuan Li, Zhe Gan, Lawrence Carin

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  • Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation

    Wei Wang, Hao Wang, Chen Zhang, Yang Gao

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  • Riemannian Submanifold Tracking on Low-Rank Algebraic Variety

    Qian Li, Zhichao Wang

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  • Top-k Hierarchical Classification

    Sechan Oh

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  • Feature Selection Guided Auto-Encoder

    Shuyang Wang, Zhengming Ding, Yun Fu

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  • Unsupervised Large Graph Embedding

    Feiping Nie, Wei Zhu, Xuelong Li

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  • Inductive Pairwise Ranking: Going Beyond the n log(n) Barrier

    U.N. Niranjan, Arun Rajkumar

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  • MPGL: An Efficient Matching Pursuit Method for Generalized LASSO

    Dong Gong, Mingkui Tan, Yanning Zhang, Anton van den Hengel, Qinfeng Shi

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  • Nonlinear Dynamic Boltzmann Machines for Time-Series Prediction

    Sakyasingha Dasgupta, Takayuki Osogami

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  • Tunable Sensitivity to Large Errors in Neural Network Training

    Gil Keren, Sivan Sabato, Bjšrn Schuller

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  • SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

    Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu

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  • Relational Deep Learning: A Deep Latent Variable Model for Link Prediction

    Hao Wang, Xingjian Shi, Dit-Yan Yeung

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  • PAC Identification of a Bandit Arm Relative to a Reward Quantile

    Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan

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  • Efficient Online Model Adaptation by Incremental Simplex Tableau

    Zhixian Lei, Xuehan Ye, Yongcai Wang, Deying Li, Jia Xu

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  • Informative Subspace Learning for Counterfactual Inference

    Yale Chang, Jennifer Dy

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  • Sparse Deep Transfer Learning for Convolutional Neural Network

    Jiaming Liu, Yali Wang, Yu Qiao

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  • Querying Partially Labelled Data to Improve a K-nn Classifier

    Vu-Linh Nguyen, SŽbastien Destercke, Marie-Helene Masson

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  • Self-Paced Learning: An Implicit Regularization Perspective

    Yanbo Fan, Ran He, Jian Liang, Baogang Hu

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Main Track: NLP and Text Mining

  • Structural Correspondence Learning for Cross-Lingual Sentiment Classification with One-to-Many Mappings

    Nana Li, Shuangfei Zhai, Zhongfei Zhang, Boying Liu

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  • Greedy Flipping for Constrained Word Deletion

    Jin-ge Yao, Xiaojun Wan

    PDF
  • Efficiently Mining High Quality Phrases from Texts

    Bing Li, Xiaochun Yang, Bin Wang, Wei Cui

    PDF
  • Using Discourse Signals for Robust Instructor Intervention Prediction

    Muthu Kumar Chandrasekaran, Carrie Epp, Min-Yen Kan, Diane Litman

    PDF
  • Recurrent Neural Networks with Auxiliary Labels for Cross-Domain Opinion Target Extraction

    Ying Ding, Jianfei Yu, Jing Jiang

    PDF
  • Learning Latent Sentiment Scopes for Entity-Level Sentiment Analysis

    Hao Li, Wei Lu

    PDF
  • Collaborative User Clustering for Short Text Streams

    Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas

    PDF
  • Automatic Emphatic Information Extraction from Aligned Acoustic Data and Its Application on Sentence Compression

    Yanju Chen, Rong Pan

    PDF
  • Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning

    Zhou Zhao, Hanqing Lu, Vincent Zheng, Deng Cai, Xiaofei He, Yueting Zhuang

    PDF
  • Efficient Dependency-Guided Named Entity Recognition

    Zhanming Jie, Aldrian Muis, Wei Lu

    PDF
  • Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization

    Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing

    PDF
  • Unsupervised Sentiment Analysis with Signed Social Networks

    Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu

    PDF
  • Improving Event Causality Recognition with Multiple Background Knowledge Sources Using Multi-Column Convolutional Neural Networks

    Canasai Kruengkrai, Kentaro Torisawa, Chikara Hashimoto, Julien Kloetzer, Jong-Hoon Oh, Masahiro Tanaka

    PDF
  • Attentive Interactive Neural Networks for Answer Selection in Community Question Answering

    Xiaodong Zhang, Sujian Li, Lei Sha, Houfeng Wang

    PDF
  • Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora

    Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen

    PDF
  • What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM

    Linmei Hu, Juanzi Li, Liqiang Nie, Xiao-Li Li, Chao Shao

    PDF
  • Distant Supervision via Prototype-Based Global Representation Learning

    Xianpei Han, Le Sun

    PDF
  • Word Embedding Based Correlation Model for Question/Answer Matching

    Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong

    PDF

AAAI Technical Track: Vision

  • Deep Correlated Metric Learning for Sketch-based 3D Shape Retrieval

    Guoxian Dai, Jin Xie, Fan Zhu, Yi Fang

    PDF
  • Depth CNNs for RGB-D Scene Recognition: Learning from Scratch Better than Transferring from RGB-CNNs

    Xinhang Song, Luis Herranz, Shuqiang Jiang

    PDF
  • Weakly Supervised Learning of Part Selection Model with Spatial Constraints for Fine-Grained Image Classification

    Xiangteng He, Yuxin Peng

    PDF
  • Unsupervised Learning of Multi-Level Descriptors for Person Re-Identification

    Yang Yang, Longyin Wen, Siwei Lyu, Stan Li

    PDF
  • Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image

    Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Yunhong Wang, Wangmeng Zuo, Wei-Shi Zheng

    PDF
  • DECK: Discovering Event Composition Knowledge from Web Images for Zero-Shot Event Detection and Recounting in Videos

    Chuang Gan, Chen Sun, Ram Nevatia

    PDF
  • Attributes for Improved Attributes: A Multi-Task Network Utilizing Implicit and Explicit Relationships for Facial Attribute Classification

    Emily Hand, Rama Chellappa

    PDF
  • Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation

    Tianxiang Pan, Bin Wang, Guiguang Ding, Jun-Hai Yong

    PDF
  • Regularized Diffusion Process for Visual Retrieval

    Song Bai, Xiang Bai, Qi Tian, Longin Jan Latecki

    PDF
  • Sherlock: Scalable Fact Learning in Images

    Mohamed Elhoseiny, Scott Cohen, Walter Chang, Brian Price, Ahmed Elgammal

    PDF
  • VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem

    Ronald Clark, Sen Wang, Hongkai Wen, Andrew Markham, Niki Trigoni

    PDF
  • An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data

    Sijie Song, Cuiling Lan, Junliang Xing, Wenjun Zeng, Jiaying Liu

    PDF
  • Nonnegative Orthogonal Graph Matching

    Bo Jiang, Jin Tang, Chris Ding, Bin Luo

    PDF
  • Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network

    Suha Kwak, Seunghoon Hong, Bohyung Han

    PDF
  • Differentiating Between Posed and Spontaneous Expressions with Latent Regression Bayesian Network

    Quan Gan, Siqi Nie, Shangfei Wang, Qiang Ji

    PDF
  • Collective Deep Quantization for Efficient Cross-Modal Retrieval

    Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu

    PDF
  • Closing the Loop for Edge Detection and Object Proposals

    Yao Lu, Linda Shapiro

    PDF
  • Visual Object Tracking for Unmanned Aerial Vehicles: A Benchmark and New Motion Models

    Siyi Li, Dit-Yan Yeung

    PDF
  • Face Hallucination with Tiny Unaligned Images by Transformative Discriminative Neural Networks

    Xin Yu, Fatih Porikli

    PDF
  • Image Cosegmentation via Saliency-Guided Constrained Clustering with Cosine Similarity

    Zhiqiang Tao, Hongfu Liu, Huazhu Fu, Yun Fu

    PDF
  • Boosting Complementary Hash Tables for Fast Nearest Neighbor Search

    Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li

    PDF
  • A Multi-Task Deep Network for Person Re-Identification

    Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang

    PDF
  • Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition

    Xiao Liu, Jiang Wang, Shilei Wen, Errui Ding, Yuanqing Lin

    PDF
  • Learning Patch-Based Dynamic Graph for Visual Tracking

    Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang

    PDF
  • Quantifying and Detecting Collective Motion by Manifold Learning

    Qi Wang, Mulin Chen, Xuelong Li

    PDF
  • Robust Visual Tracking via Local-Global Correlation Filter

    Heng Fan, Jinhai Xiang

    PDF
  • A Multiview-Based Parameter Free Framework for Group Detection

    Xuelong Li, Mulin Chen, Feiping Nie, Qi Wang

    PDF
  • An Artificial Agent for Robust Image Registration

    Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu

    PDF
  • Video Recovery via Learning Variation and Consistency of Images

    Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang

    PDF
  • Attention Correctness in Neural Image Captioning

    Chenxi Liu, Junhua Mao, Fei Sha, Alan Yuille

    PDF
  • Reference Based LSTM for Image Captioning

    Minghai Chen, Guiguang Ding, Sicheng Zhao, Hui Chen, Qiang Liu, Jungong Han

    PDF
  • TextBoxes: A Fast Text Detector with a Single Deep Neural Network

    Minghui Liao, Baoguang Shi, Xiang Bai, Xinggang Wang, Wenyu Liu

    PDF
  • Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization

    Jiayi Ma, Ji Zhao, Junjun Jiang, Huabing Zhou

    PDF
  • Weakly-Supervised Deep Nonnegative Low-Rank Model for Social Image Tag Refinement and Assignment

    Zechao Li, Jinhui Tang

    PDF
  • Online Multi-Target Tracking Using Recurrent Neural Networks

    Anton Milan, S. Hamid Rezatofighi, Anthony Dick, Ian Reid, Konrad Schindler

    PDF
  • Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels

    Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao

    PDF
  • Efficient Object Instance Search Using Fuzzy Objects Matching

    Tan Yu, Yuwei Wu, Sreyasee Bhattacharjee, Junsong Yuan

    PDF
  • Multi-Path Feedback Recurrent Neural Networks for Scene Parsing

    Xiaojie Jin, Yunpeng Chen, Zequn Jie, Jiashi Feng, Shuicheng Yan

    PDF
  • Detection and Recognition of Text Embedded in Online Images via Neural Context Models

    Chulmoo Kang, Gunhee Kim, Suk Yoo

    PDF
  • Cross-View People Tracking by Scene-Centered Spatio-Temporal Parsing

    Yuanlu Xu, Xiaobai Liu, Lei Qin, Song-Chun Zhu

    PDF
  • Title Learning Latent Subevents in Activity Videos Using Temporal Attention Filters

    A. Piergiovanni, Chenyou Fan, Michael Ryoo

    PDF
  • Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

    Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, Alexander Alemi

    PDF
  • Video Captioning with Listwise Supervision

    Yuan Liu, Xue Li, Zhongchao Shi

    PDF
  • Leveraging Video Descriptions to Learn Video Question Answering

    Kuo-Hao Zeng, Tseng-Hung Chen, Ching-Yao Chuang, Yuan-Hong Liao, Juan Carlos Niebles, Min Sun

    PDF
  • Image Caption with Global-Local Attention

    Linghui Li, Sheng Tang, Lixi Deng, Yongdong Zhang, Qi Tian

    PDF
  • Leveraging Saccades to Learn Smooth Pursuit: A Self-Organizing Motion Tracking Model Using Restricted Boltzmann Machines

    Arjun Yogeswaran, Pierre Payeur

    PDF
  • Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition

    Zhen Dong, Su Jia, Chi Zhang, Mingtao Pei, Yuwei Wu

    PDF
  • Active Video Summarization: Customized Summaries via On-line Interaction with the User

    Ana Garcia del Molino, Xavier Boix, Joo-Hwee Lim, Ah-Hwee Tan

    PDF
  • Text-Guided Attention Model for Image Captioning

    Jonghwan Mun, Minsu Cho, Bohyung Han

    PDF
  • Privacy-Preserving Human Activity Recognition from Extreme Low Resolution

    Michael Ryoo, Brandon Rothrock, Charles Fleming, Hyun Jong Yang

    PDF
  • Robust MIL-Based Feature Template Learning for Object Tracking

    Xiangyuan Lan, Pong C. Yuen, Rama Chellappa

    PDF
  • Learning Discriminative Activated Simplices for Action Recognition

    Chenxu Luo, Chang Ma, Chunyu Wang, Yizhou Wang

    PDF
  • Building an End-to-End Spatial-Temporal Convolutional Network for Video Super-Resolution

    Jun Guo, Hongyang Chao

    PDF

Student Abstract Track

  • Participatory Art Museum: Collecting and Modeling Crowd Opinions

    Xiaoyu Zeng, Ruohan Zhang

    PDF
  • Enhancing the Privacy of Predictors

    Ke Xu, Swair Shah, Tongyi Cao, Crystal Maung, Haim Schweitzer

    PDF
  • High-Resolution Mobile Fingerprint Matching via Deep Joint KNN-Triplet Embedding

    Fandong Zhang, Jufu Feng

    PDF
  • Neuron Learning Machine for Representation Learning

    Jia Liu, Maoguo Gong, Qiguang Miao

    PDF
  • An Advising Framework for Multiagent Reinforcement Learning Systems

    Felipe Silva, Ruben Glatt, Anna Costa

    PDF
  • Natural Language Person Retrieval

    Tao Zhou, Jie Yu

    PDF
  • Semantic Connection Based Topic Evolution

    Jiamiao Wang

    PDF
  • A Position-Biased PageRank Algorithm for Keyphrase Extraction

    Corina Florescu, Cornelia Caragea

    PDF
  • Coordinating Human and Agent Behavior in Collective-Risk Scenarios

    Elias Fern‡ndez Domingos, Juan Burguillo, Ann NowŽ, Tom Lenaerts

    PDF
  • Fast Electrical Demand Optimization Under Real-Time Pricing

    Shan He, Mark Wallace, Campbell Wilson, Ariel Liebman

    PDF
  • A Deep Learning Approach for Arabic Caption Generation Using Roots-Words

    Vasu Jindal

    4941

    PDF
  • Policy Reuse in Deep Reinforcement Learning

    Ruben Glatt, Anna Costa

    PDF
  • ATSUM: Extracting Attractive Summaries for News Propagation on Microblogs

    Fang Liu, Xiaojun Wan

    PDF
  • Extracting Highly Effective Features for Supervised Learning via Simultaneous Tensor Factorization

    Sunny Verma, Wei Liu, Chen Wang, Liming Zhu

    PDF
  • SReN: Shape Regression Network for Comic Storyboard Extraction

    Zheqi He, Yafeng Zhou, Yongtao Wang, Zhi Tang

    PDF
  • Keyphrase Extraction with Sequential Pattern Mining

    Qingren Wang, Victor Sheng, Xindong Wu

    PDF
  • Improving Greedy Best-First Search by Removing Unintended Search Bias (Extended Abstract)

    Masataro Asai, Alex Fukunaga

    PDF
  • Semantic Inference of Bird Songs Using Dynamic Bayesian Networks

    Keisuke Daimon, Richard Hedley, Charles Taylor

    PDF
  • A Computational Assessment Model for the Adaptive Level of Rehabilitation Exergames for the Elderly

    Hao Zhang, Chunyan Miao, Han Yu, Cyril Leung

    5021

    PDF
  • Audio Feature Learning with Triplet-Based Embedding Network

    Xiaoyu Qi, Deshun Yang, Xiaoou Chen

    PDF
  • Semantic Interpretation of Social Network Communities

    Tushar Maheshwari, Aishwarya Reganti, Upendra Kumar, Tanmoy Chakraborty, Amitava Das

    PDF
  • Chaotic Time Series Prediction Using a Photonic Reservoir Computer with Output Feedback

    Piotr Antonik, Michiel Hermans, Marc Haelterman, Serge Massar

    PDF
  • Improving Performance of Analogue Readout Layers for Photonic Reservoir Computers with Online Learning

    Piotr Antonik, Marc Haelterman, Serge Massar

    PDF
  • Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes

    Taylor Killian, George Konidaris, Finale Doshi-Velez

    PDF
  • A Systematic Practice of Judging the Success of a Robotic Grasp Using Convolutional Neural Network

    Hengshuang Liu, Pengcheng Ai, Junling Chen

    PDF
  • Detecting Review Spammer Groups

    Min Yang, Ziyu Lu, Xiaojun Chen, Fei Xu

    PDF
  • Handwriting Profiling Using Generative Adversarial Networks

    Arna Ghosh, Biswarup Bhattacharya, Somnath Basu Roy Chowdhury

    PDF
  • Attention Based LSTM for Target Dependent Sentiment Classification

    Min Yang, Wenting Tu, Jingxuan Wang, Fei Xu, Xiaojun Chen

    PDF
  • Authorship Attribution with Topic Drift Model

    Min Yang, Dingju Zhu, Yong Tang, Jingxuan Wang

    PDF
  • Predicting User Roles from Computer Logs Using Recurrent Neural Networks

    Aaron Tuor, Samuel Kaplan, Brian Hutchinson, Nicole Nichols, Sean Robinson

    PDF
  • Community-Based Question Answering via Contextual Ranking Metric Network Learning

    Hanqing Lu, Ming Kong

    PDF
  • User Modeling Using LSTM Networks

    Konrad _o_na, Bart_omiej Roma_ski

    PDF
  • A Sampling Based Approach for Proactive Project Scheduling with Time-Dependent Duration Uncertainty

    Wen Song, Donghun Kang, Jie Zhang, Hui Xi

    PDF
  • Automatically Extracting Axioms in Classical Planning

    Shuwa Miura, Alex Fukunaga

    PDF
  • A Finite Memory Automaton for Two-Armed Bernoulli Bandit Problems

    Ariel Rao

    4981

    PDF
  • Frame-Based Ontology Alignment

    Luigi Asprino, Valentina Presutti, Aldo Gangemi, Paolo Ciancarini

    PDF
  • Learning to Avoid Dominated Action Sequences in Planning for Black-Box Domains

    Yuu Jinnai, Alex Fukunaga

    PDF
  • Coalition Structure Generation Utilizing Graphical Representation of Partition Function Games

    Kazuki Nomoto, Yuko Sakurai, Makoto Yokoo

    PDF
  • Boosting for Real-Time Multivariate Time Series Classification

    Haishuai Wang, Jun Wu

    PDF
  • Discovering Conversational Dependencies between Messages in Dialogs

    Wenchao Du, Pascal Poupart, Wei Xu

    PDF
  • Multimodal Fusion of EEG and Musical Features in Music-Emotion Recognition

    Nattapong Thammasan, Ken-ichi Fukui, Masayuki Numao

    PDF
  • Wikitop: Using Wikipedia Category Network to Generate Topic Trees

    Saravana Kumar, Prasath Rengarajan, Arockia Xavier Annie

    PDF
  • Android Malware Detection with Weak Ground Truth Data

    Jordan DeLoach, Doina Caragea, Xinming Ou

    PDF
  • Robust Stable Marriage

    Begum Genc, Mohamed Siala, Barry O'Sullivan, Gilles Simonin

    PDF
  • SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RL

    Akshay Narayan, Zhuoru Li, Tze-Yun Leong

    PDF
  • Towards User Personality Profiling from Multiple Social Networks

    Kseniya Buraya, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua

    PDF
  • Kernelized Evolutionary Distance Metric Learning for Semi-Supervised Clustering

    Wasin Kalintha, Satoshi Ono, Masayuki Numao, Ken-ichi Fukui

    PDF
  • Learning Options in Multiobjective Reinforcement Learning

    Rodrigo Bonini, Felipe Silva, Anna Costa

    PDF
  • Predicting Mortality of Intensive Care Patients via Learning about Hazard

    Dae Lee, Eric Horvitz

    PDF
  • Cycle-Based Singleton Local Consistencies

    Robert Woodward, Berthe Choueiry, Christian Bessiere

    PDF
  • Hybridizing Interval Temporal Logics: The First Step

    Przemys_aw Wa__ga

    PDF
  • Evolutionary Machine Learning for RTS Game StarCraft

    Lianlong Wu, Andrew Markham

    PDF
  • Extreme Gradient Boosting and Behavioral Biometrics

    Benjamin Manning

    PDF
  • PAG2ADMG: A Novel Methodology to Enumerate Causal Graph Structures

    Nishant Subramani, Doug Downey

    PDF
  • Grounded Action Transformation for Robot Learning in Simulation

    Josiah Hanna, Peter Stone

    PDF
  • The Complexity of Succinct Elections

    Zack Fitzsimmons, Edith Hemaspaandra

    PDF
  • Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation

    Josiah Hanna, Peter Stone, Scott Niekum

    PDF
  • Auto-Annotation of 3D Objects via ImageNet

    Huan Luo, Cheng Wang, Jonathan Li

    PDF
  • Cross-Domain Sentiment Classification via Topic-Related TrAdaBoost

    Xingchang Huang, Yanghui Rao, Haoran Xie, Tak-Lam Wong, Fu Lee Wang

    PDF
  • Rethinking the Link Prediction Problem in Signed Social Networks

    Xiaoming Li, Hui Fang, Jie Zhang

    PDF
  • Semantic Representation Using Explicit Concept Space Models

    Walid Shalaby, Wlodek Zadrozny

    PDF
  • Preference Elicitation in DCOPs for Scheduling Devices in Smart Buildings

    Atena M. Tabakhi

    PDF
  • Redesigning Stochastic Environments for Maximized Utility

    Sarah Keren, Avigdor Gal, Erez Karpas, Luis Pineda, Shlomo Zilberstein

    PDF
  • Plan Recognition Design

    Reuth Mirsky, Roni Stern, Ya'akov Gal, Meir Kalech

    PDF

AAAI Technical Track: Knowledge Representation and Reasoning

  • Strategic Sequences of Arguments for Persuasion Using Decision Trees

    Emmanuel Hadoux, Anthony Hunter

    PDF
  • Non-Parametric Estimation of Multiple Embeddings for Link Prediction on Dynamic Knowledge Graphs

    Yi Tay, Anh Luu, Siu Cheung Hui

    PDF
  • Solving Advanced Argumentation Problems with Answer-Set Programming

    Gerhard Brewka, Martin Diller, Georg Heissenberger, Thomas Linsbichler, Stefan Woltran

    PDF
  • Practical TBox Abduction Based on Justification Patterns

    Jianfeng Du, Hai Wan, Huaguan Ma

    PDF
  • Don’t Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery

    Heng-Yang Lu, Lu-Yao Xie, Ning Kang, Chong-Jun Wang, Jun-Yuan Xie

    PDF
  • ProjE: Embedding Projection for Knowledge Graph Completion

    Baoxu Shi, Tim Weninger

    PDF
  • Number Restrictions on Transitive Roles in Description Logics with Nominals

    V’ctor GutiŽrrez-Basulto, Yazm’n Ib‡–ez-Garc’a, Jean Christoph Jung

    PDF
  • On the Transitivity of Hypernym-Hyponym Relations in Data-Driven Lexical Taxonomies

    Jiaqing Liang, Yi Zhang, Yanghua Xiao, Haixun Wang, Wei Wang, Pinpin Zhu

    PDF
  • Graph-Based Wrong IsA Relation Detection in a Large-Scale Lexical Taxonomy

    Jiaqing Liang, Yanghua Xiao, Yi Zhang, Seung-won Hwang, Haixun Wang

    PDF
  • Small Is Beautiful: Computing Minimal Equivalent EL Concepts

    Nadeschda Nikitina, Patrick Koopmann

    PDF
  • Entropic Causal Inference

    Murat Kocaoglu, Alexandros Dimakis, Sriram Vishwanath, Babak Hassibi

    PDF
  • On Equivalence and Inconsistency of Answer Set Programs with External Sources

    Christoph Redl

    PDF
  • Efficient Evaluation of Answer Set Programs with External Sources Based on External Source Inlining

    Christoph Redl

    PDF
  • On the Computation of Paracoherent Answer Sets

    Giovanni Amendola, Carmine Dodaro, Wolfgang Faber, Nicola Leone, Francesco Ricca

    PDF
  • Polynomially Bounded Logic Programs with Function Symbols: A New Decidable

    Vernon Asuncion, Yan Zhang, Heng Zhang

    PDF
  • An Improved Algorithm for Learning to Perform Exception-Tolerant Abduction

    Mengxue Zhang, Tushar Mathew, Brendan Juba

    PDF
  • Trust-Sensitive Evolution of DL-Lite Knowledge Bases

    Dmitriy Zheleznyakov, Evgeny Kharlamov, Ian Horrocks

    PDF
  • Ontology Materialization by Abstraction Refinement in Horn SHOIF

    Birte Glimm, Yevgeny Kazakov, Trung-Kien Tran

    PDF
  • The Unusual Suspects: Deep Learning Based Mining of Interesting Entity Trivia from Knowledge Graphs

    Nausheen Fatma, Manoj Chinnakotla, Manish Shrivastava

    PDF
  • LPMLN, Weak Constraints, and P-log

    Joohyung Lee, Zhun Yang

    PDF
  • Query Answering in DL-Lite with Datatypes: A Non-Uniform Approach

    AndrŽ Hernich, Julio Lemos, Frank Wolter

    PDF
  • Add Data into Business Process Verification: Bridging the Gap between Theory and Practice

    Riccardo De Masellis, Chiara Di Francescomarino, Chiara Ghidini, Marco Montali, Sergio Tessaris

    PDF
  • SAT Encodings for Distance-Based Belief Merging Operators

    SŽbastien Konieczny, Jean-Marie Lagniez, Pierre Marquis

    PDF
  • Ontology-Mediated Queries for Probabilistic Databases

    Stefan Borgwardt, Ismail Ceylan, Thomas Lukasiewicz

    PDF
  • Diagnosability Planning for Controllable Discrete Event Systems

    Hassan Ibrahim, Philippe Dague, Alban Grastien, Lina Ye, Laurent Simon

    PDF
  • Ontology-Based Data Access with a Horn Fragment of Metric Temporal Logic

    Sebastian Brandt, Elem GŸzel Kalaycõ, Roman Kontchakov, Vladislav Ryzhikov, Guohui Xiao, Michael Zakharyaschev

    PDF
  • Abstraction in Situation Calculus Action Theories

    Bita Banihashemi, Giuseppe De Giacomo, Yves Lesperance

    PDF
  • Preferential Structures for Comparative Probabilistic Reasoning

    Matthew Harrison-Trainor, Wesley Holliday, Thomas Icard, III

    PDF
  • Causal Discovery Using Regression-Based Conditional Independence Tests

    Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan

    PDF
  • The Symbolic Interior Point Method

    Martin Mladenov, Vaishak Belle, Kristian Kersting

    PDF
  • Compiling Graph Substructures into Sentential Decision Diagrams

    Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata

    PDF
  • Source Information Disclosure in Ontology-Based Data Integration

    Michael Benedikt, Bernardo Cuenca Grau, Egor Kostylev

    PDF
  • Checking the Consistency of Combined Qualitative Constraint Networks

    Quentin Cohen-Solal, Maroua Bouzid, Alexandre Niveau

    PDF

AAAI Technical Track: Heuristic Search and Optimization

  • Automatic Logic-Based Benders Decomposition with MiniZinc

    Toby Davies, Graeme Gange, Peter Stuckey

    PDF
  • Efficient Hyperparameter Optimization for Deep Learning Algorithms Using Deterministic RBF Surrogates

    Ilija Ilievski, Taimoor Akhtar, Jiashi Feng, Christine Shoemaker

    PDF
  • A Unified Convex Surrogate for the Schatten-p Norm

    Chen Xu, Zhouchen Lin, Hongbin Zha

    PDF
  • An Exact Algorithm for the Maximum Weight Clique Problem in Large Graphs

    Hua Jiang, Chu-Min Li, Felip Manya

    PDF
  • Efficient Stochastic Optimization for Low-Rank Distance Metric Learning

    Jie Zhang, Lijun Zhang

    PDF
  • A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search

    Tobias Friedrich, Timo Kštzing, Markus Wagner

    PDF
  • Going Beyond Primal Treewidth for (M)ILP

    Robert Ganian, Sebastian Ordyniak, M. Ramanujan

    PDF
  • Problem Difficulty and the Phase Transition in Heuristic Search

    Eldan Cohen, J. Christopher Beck

    PDF
  • Efficient Parameter Importance Analysis via Ablation with Surrogates

    Andre Biedenkapp, Marius Lindauer, Katharina Eggensperger, Frank Hutter, Chris Fawcett, Holger Hoos

    PDF
  • Systematic Exploration of Larger Local Search Neighborhoods for the Minimum Vertex Cover Problem

    Maximilian Katzmann, Christian Komusiewicz

    PDF
  • Embedded Bandits for Large-Scale Black-Box Optimization

    Abdullah Al-Dujaili, S. Suresh

    PDF
  • Regret Ratio Minimization in Multi-Objective Submodular Function Maximization

    Tasuku Soma, Yuichi Yoshida

    PDF
  • Parallel Asynchronous Stochastic Variance Reduction for Nonconvex Optimization

    Cong Fang, Zhouchen Lin

    PDF
  • Grid Pathfinding on the 2k Neighborhoods

    Nicolas Rivera, Carlos Hern‡ndez, Jorge Baier

    PDF
  • Non-Monotone DR-Submodular Function Maximization

    Tasuku Soma, Yuichi Yoshida

    PDF
  • The Simultaneous Maze Solving Problem

    Stefan Funke, Andre Nusser, Sabine Storandt

    PDF
  • A Fast Algorithm to Compute Maximum k-Plexes in Social Network Analysis

    Mingyu Xiao, Weibo Lin, Yuanshun Dai, Yifeng Zeng

    919

    PDF
  • Automated Data Extraction Using Predictive Program Synthesis

    Mohammad Raza, Sumit Gulwani

    PDF
  • New Lower Bound for the Minimum Sum Coloring Problem

    ClŽment Lecat, Corinne Lucet, Chu-Min Li

    PDF
  • Reactive Dialectic Search Portfolios for MaxSAT

    Carlos Ans—tegui, Josep Pon, Meinolf Sellmann, Kevin Tierney

    PDF
  • Learning to Prune Dominated Action Sequences in Online Black-Box Planning

    Yuu Jinnai, Alex Fukunaga

    PDF
  • Dancing with Decision Diagrams: A Combined Approach to Exact Cover

    Masaaki Nishino, Norihito Yasuda, Shin-ichi Minato, Masaaki Nagata

    PDF
  • Value Compression of Pattern Databases

    Nathan Sturtevant, Ariel Felner, Malte Helmert

    PDF
  • Solving High-Dimensional Multi-Objective Optimization Problems with Low Effective Dimensions

    Hong Qian, Yang Yu

    PDF
  • Anytime Anyspace AND/OR Search for Bounding the Partition Function

    Qi Lou, Rina Dechter, Alexander Ihler

    PDF

What's Hot Abstracts

  • The State of the AIIDE Conference in 2017

    Nathan Sturtevant, Brian Magerko

    PDF
  • What’s Hot in Case-Based Reasoning

    Ashok Goel, Belen Diaz-Agudo

    PDF
  • What’s Hot at CPAIOR (Extended Abstract)

    Claude-Guy Quimper

    PDF
  • SAT Competition 2016: Recent Developments

    Tomas Balyo, Marijn Heule, Matti Jarvisalo

    PDF
  • What’s Hot in Evolutionary Computation

    Tobias Friedrich, Frank Neumann

    PDF
  • Automated Negotiating Agents Competition (ANAC)

    Catholijn Jonker, Reyhan Aydogan, Tim Baarslag, Katsuhide Fujita, Takayuki Ito, Koen Hindriks

    PDF
  • What’s Hot in Constraint Programming

    Laurent Michel, Michel Rueher

    PDF

AAAI Technical Track: Humans and AI

  • On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems

    Besmira Nushi, Ece Kamar, Eric Horvitz, Donald Kossmann

    PDF
  • JAG: A Crowdsourcing Framework for Joint Assessment and Peer Grading

    Igor Labutov, Christoph Studer

    PDF
  • Psychologically Based Virtual-Suspect for Interrogative Interview Training

    Moshe Bitan, Galit Nahari, Zvi Nisin, Ariel Roth, Sarit Kraus

    PDF
  • The Benefit in Free Information Disclosure When Selling Information to People

    Shani Alkoby, David Sarne

    PDF
  • PIVE: Per-Iteration Visualization Environment for Real-Time Interactions with Dimension Reduction and Clustering

    Hannah Kim, Jaegul Choo, Changhyun Lee, Hanseung Lee, Chandan Reddy, Haesun Park

    PDF
  • Capturing Dependencies among Labels and Features for Multiple Emotion Tagging of Multimedia Data

    Shan Wu, Shangfei Wang, Qiang Ji

    PDF

AAAI Technical Track: Human-Computation and Crowd Sourcing

  • Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process

    Takeru Sunahase, Yukino Baba, Hisashi Kashima

    PDF
  • Long-Term Trends in the Public Perception of Artificial Intelligence

    Ethan Fast, Eric Horvitz

    PDF
  • A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution

    Arya Mazumdar, Barna Saha

    PDF

Human-Aware Artificial Intelligence

  • Examples-Rules Guided Deep Neural Network for Makeup Recommendation

    Taleb Alashkar, Songyao Jiang, Shuyang Wang, Yun Fu

    PDF
  • Collaborative Planning with Encoding of Users’ High-Level Strategies

    Joseph Kim, Christopher Banks, Julie Shah

    PDF
  • Predicting Latent Narrative Mood Using Audio and Physiologic Data

    Tuka AlHanai, Mohammad Ghassemi

    PDF

AAAI Technical Track: Multiagent Systems

  • Improving Surveillance Using Cooperative Target Observation

    Rashi Aswani, Sai Krishna Munnangi, Praveen Paruchuri

    PDF
  • Collective Multiagent Sequential Decision Making Under Uncertainty

    Duc Thien Nguyen, Akshat Kumar, Hoong Chuin Lau

    PDF
  • Nurturing Group-Beneficial Information-Gathering Behaviors Through Above-Threshold Criteria Setting

    Igor Rochlin, David Sarne, Maytal Bremer, Ben Grynhaus

    PDF
  • Solving Seven Open Problems of Offline and Online Control in Borda Elections

    Marc Neveling, Jšrg Rothe

    PDF
  • Kont: Computing Tradeoffs in Normative Multiagent Systems

    Ozgur Kafali, Nirav Ajmeri, Munindar Singh

    PDF
  • Centralized versus Personalized Commitments and Their Influence on Cooperation in Group Interactions

    The Anh Han, Luis Moniz Pereira, Luis A. Martinez-Vaquero, Tom Lenaerts

    PDF
  • Query Complexity of Tournament Solutions

    Palash Dey

    PDF
  • Decentralized Planning in Stochastic Environments with Submodular Rewards

    Rajiv Kumar, Pradeep Varakantham, Akshat Kumar

    PDF
  • Parameterised Verification of Infinite State Multi-Agent Systems via Predicate Abstraction

    Panagiotis Kouvaros, Alessio Lomuscio

    PDF

Special Track on Integrated Systems

  • Vision-Language Fusion for Object Recognition

    Sz-Rung Shiang, Stephanie Rosenthal, Anatole Gershman, Jaime Carbonell, Jean Oh

    PDF
  • Configuration Planning with Temporal Constraints

    Uwe Kšckemann, Lars Karlsson

    PDF
  • State Projection via AI Planning

    Shirin Sohrabi, Anton Riabov, Octavian Udrea

    PDF
  • Mixed Discrete-Continuous Planning with Convex Optimization

    Enrique Fernandez-Gonzalez, Erez Karpas, Brian Williams

    PDF
  • Learning to Predict Intent from Gaze During Robotic Hand-Eye Coordination

    Yosef Razin, Karen Feigh

    PDF
  • Building Task-Oriented Dialogue Systems for Online Shopping

    Zhao Yan, Nan Duan, Peng Chen, Ming Zhou, Jianshe Zhou, Zhoujun Li

    PDF
  • Healthy Cognitive Aging: A Hybrid Random Vector Functional-Link Model for the Analysis of AlzheimerÕs Disease

    Peng Dai, Femida Gwadry-Sridhar, Michael Bauer, Michael Borrie, Xue Teng

    PDF
  • Integration of Planning with Recognition for Responsive Interaction Using Classical Planners

    Richard Freedman, Shlomo Zilberstein

    PDF

Special Track on Computational Sustainability

  • Spatial Projection of Multiple Climate Variables Using Hierarchical Multitask Learning

    Andre Goncalves, Arindam Banerjee, Fernando Von Zuben

    PDF
  • Dynamic Optimization of Landscape Connectivity Embedding Spatial-Capture-Recapture Information

    Yexiang Xue, Xiaojian Wu, Dana Morin, Bistra Dilkina, Angela Fuller, J. Royle, Carla Gomes

    PDF
  • Fast-Tracking Stationary MOMDPs for Adaptive Management Problems

    Martin PŽron, Kai Becker, Peter Bartlett, Iadine Chads

    PDF
  • Robust Optimization for Tree-Structured Stochastic Network Design

    Xiaojian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein

    PDF
  • Fine-Grained Car Detection for Visual Census Estimation

    Timnit Gebru, Jonathan Krause, Yilun Wang, Duyun Chen, Jia Deng, Li Fei-Fei

    PDF
  • Extracting Urban Microclimates from Electricity Bills

    Thuy Vu, D. Stott Parker

    PDF
  • Deep Gaussian Process for Crop Yield Prediction Based on Remote Sensing Data

    Jiaxuan You, Xiaocheng Li, Melvin Low, David Lobell, Stefano Ermon

    PDF
  • Maximizing the Probability of Arriving on Time: A Practical Q-Learning Method

    Zhiguang Cao, Hongliang Guo, Jie Zhang, Frans Oliehoek, Ulrich Fastenrath

    PDF
  • Matrix Factorisation for Scalable Energy Breakdown

    Nipun Batra, Hongning Wang, Amarjeet Singh, Kamin Whitehouse

    PDF
  • Species Distribution Modeling of Citizen Science Data as a Classification Problem with Class-Conditional Noise

    Rebecca Hutchinson, Liqiang He, Sarah Emerson

    PDF
  • Counting-Based Reliability Estimation for Power-Transmission Grids

    Leonardo Duenas-Osorio, Kuldeep Meel, Roger Paredes, Moshe Vardi

    PDF
  • Combining Satellite Imagery and Open Data to Map Road Safety

    Alameen Najjar, ShunÕichi Kaneko, Yoshikazu Miyanaga

    PDF
  • Three New Algorithms to Solve N-POMDPs

    Yann Dujardin, Tom Dietterich, Iadine Chads

    PDF
  • Regularization in Hierarchical Time Series Forecasting with Application to Electricity Smart Meter Data

    Souhaib Ben Taieb, Jiafan Yu, Mateus Barreto, Ram Rajagopal

    PDF

Special Track on Cognitive Systems

  • ConceptNet 5.5: An Open Multilingual Graph of General Knowledge

    Robyn Speer, Joshua Chin, Catherine Havasi

    PDF
  • Semantic Proto-Role Labeling

    Adam Teichert, Adam Poliak, Benjamin Van Durme, Matthew Gormley

    PDF
  • Inductive Reasoning about Ontologies Using Conceptual Spaces

    Zied Bouraoui, Shoaib Jameel, Steven Schockaert

    PDF
  • Goal Operations for Cognitive Systems

    Michael Cox, Dustin Dannenhauer, Sravya Kondrakunta

    PDF
  • Identifying Useful Inference Paths in Large Commonsense Knowledge Bases by Retrograde Analysis

    Abhishek Sharma, Keith Goolsbey

    PDF
  • Natural Language Acquisition and Grounding for Embodied Robotic Systems

    Muhannad Alomari, Paul Duckworth, David Hogg, Anthony Cohn

    PDF
  • Flexible Model Induction through Heuristic Process Discovery

    Pat Langley, Adam Arvay

    PDF
  • Towards a Brain Inspired Model of Self-Awareness for Sociable Agents

    Budhitama Subagdja, Ah-Hwee Tan

    PDF
  • Analogical Chaining with Natural Language Instruction for Commonsense Reasoning

    Joseph Blass, Kenneth Forbus

    PDF
  • Reactive Versus Anticipative Decision Making in a Novel Gift-Giving Game

    Elias Fern‡ndez Domingos, Juan Burguillo, Tom Lenaerts

    PDF
  • Combining Logical Abduction and Statistical Induction: Discovering Written Primitives with Human Knowledge

    Wang-Zhou Dai, Zhi-Hua Zhou

    PDF
  • Scanpath Complexity: Modeling Reading Effort Using Gaze Information

    Abhijit Mishra, Diptesh Kanojia, Seema Nagar, Kuntal Dey, Pushpak Bhattacharyya

    PDF
  • Towards Continuous Scientific Data Analysis and Hypothesis Evolution

    Yolanda Gil, Daniel Garijo, Varun Ratnakar, Rajiv Mayani, Ravali Adusumilli, Hunter Boyce, Arunima Srivastava, Parag Mallick

    PDF
  • Integrating the Cognitive with the Physical: Musical Path Planning for an Improvising Robot

    Mason Bretan, Gil Weinberg

    PDF
  • Imagined Visual Representations as Multimodal Embeddings

    Guillem Collell, Ted Zhang, Marie-Francine Moens

    PDF
  • When Does Bounded-Optimal Metareasoning Favor Few Cognitive Systems?

    Smitha Milli, Falk Lieder, Thomas Griffiths

    PDF

Senior Member Summary Talks

  • Progress and Challenges in Research on Cognitive Architectures

    Pat Langley

    PDF
  • Machine Learning for Entity Coreference Resolution: A Retrospective Look at Two Decades of Research

    Vincent Ng

    PDF
  • A Selected Summary of AI for Computational Sustainability

    Douglas Fisher

    PDF
  • Incidental Supervision: Moving beyond Supervised Learning

    Dan Roth

    PDF
  • Explaining Ourselves: Human-Aware Constraint Reasoning

    Eugene Freuder

    PDF
  • Multi-Robot Allocation of Tasks with Temporal and Ordering Constraints

    Maria Gini

    PDF
  • Latent Tree Analysis

    Nevin Zhang, Leonard Poon

    PDF

Senior Member Blue Sky

  • Strategic Social Network Analysis

    Tomasz Michalak, Talal Rahwan, Michael Wooldridge

    PDF
  • Getting More Out of the Exposed Structure in Constraint Programming Models of Combinatorial Problems

    Gilles Pesant

    PDF
  • Moral Decision Making Frameworks for Artificial Intelligence

    Vincent Conitzer, Walter Sinnott-Armstrong, Jana Schaich Borg, Yuan Deng, Max Kramer

    PDF
  • The AI Rebellion: Changing the Narrative

    David Aha, Alexandra Coman

    PDF
  • Why Teaching Ethics to AI Practitioners Is Important

    Judy Goldsmith, Emanuelle Burton

    PDF

Main Track: Search and Constraint Satisfaction

  • RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem

    Saeedeh Shekarpour, Edgard Marx, Sšren Auer, Amit Sheth

    PDF
  • Soft and Cost MDD Propagators

    Guillaume Perez, Jean-Charles RŽgin

    PDF
  • Rigging Nearly Acyclic Tournaments Is Fixed-Parameter Tractable

    M. Ramanujan, Stefan Szeider

    PDF
  • Between Subgraph Isomorphism and Maximum Common Subgraph

    Ruth Hoffmann, Ciaran McCreesh, Craig Reilly

    PDF
  • Maximum Model Counting

    Daniel Fremont, Markus Rabe, Sanjit Seshia

    PDF
  • Should Algorithms for Random SAT and Max-SAT Be Different?

    Sixue Liu, Gerard de Melo

    PDF
  • General Bounds on Satisfiability Thresholds for Random CSPs via Fourier Analysis

    Colin Wei, Stefano Ermon

    PDF
  • Phase Transitions for Scale-Free SAT Formulas

    Tobias Friedrich, Anton Krohmer, Ralf Rothenberger, Andrew Sutton

    PDF
  • The Opacity of Backbones

    Lane Hemaspaandra, David Narv‡ez

    PDF
  • A SAT-Based Approach for Solving the Modal Logic S5-Satisfiability Problem

    Thomas Caridroit, Jean-Marie Lagniez, Daniel Le Berre, Tiago de Lima, Valentin Montmirail

    PDF
  • A BTP-Based Family of Variable Elimination Rules for Binary CSPs

    Achref El Mouelhi

    3871

    PDF
  • Algorithms for Deciding Counting Quantifiers over Unary Predicates

    Marcelo Finger, Glauber De Bona

    PDF
  • Extending Compact-Table to Negative and Short Tables

    HŽlne Verhaeghe, Christophe Lecoutre, Pierre Schaus

    PDF
  • CoCoA: A Non-Iterative Approach to a Local Search (A)DCOP Solver

    Cornelis Jan van Leeuwen, Przemyslaw Pawelczak

    PDF

EAAI Symposium Poster Paper

  • AI Projects for Computer Science Capstone Classes (Extended Abstract)

    Matthew Taylor, Sakire Arslan Ay

    PDF
  • Application for AI-OCR Module: Auto Detection of Emails/Letter Images

    Kelsey Fargas, Bingjie Zhou, Elizabeth Staruk, Sheila Tejada

    PDF
  • Online SPARC for Drawing and Animation

    Elias Marcopoulos, Maede Rayatidamavandi, Crisel Suarez, Yuanlin Zhang

    PDF
  • Exploring Artificial Intelligence Through Image Recognition

    Kelsey Fargas, Bingjie Zhou, Elizabeth Staruk, Sheila Tejada

    PDF

EAAI Model AI Assignments

  • Model AI Assignments 2017

    Todd Neller, Joshua Eckroth, Sravana Reddy, Joshua Ziegler, Jason Bindewald, Gilbert Peterson, Thomas Way, Paula Matuszek, Lillian Cassel, Mary-Angela Papalaskari, Carol Weiss, Ariel Anders, Sertac Karaman

    PDF

EAAI Symposium Full Paper

  • ARTY: Fueling Creativity through Art, Robotics and Technology for Youth

    Debra Burhans, Karthik Dantu

    PDF
  • A Monte Carlo Localization Assignment Using a Neato Vacuum with ROS

    Zuozhi Yang, Todd Neller

    PDF
  • Recovering Concept Prerequisite Relations from University Course Dependencies

    Chen Liang, Jianbo Ye, Zhaohui Wu, Bart Pursel, C. Giles

    PDF
  • An Image Wherever You Look! Making Vision Just Another Sensor for AI/Robotics Projects

    Andy Zhang, John Lee, Ciante Jones, Zachary Dodds

    PDF
  • Open-Ended Robotics Exploration Projects for Budding Researchers

    David Musicant, Abha Laddha, Tom Choi

    PDF
  • Cornhole: A Widely-Accessible AI Robotics Task

    Nate Derbinsky, Tyler Frasca

    PDF
  • Dude, Where’s My Robot?: A Localization Challenge for Undergraduate Robotics

    Paul Ruvolo

    PDF
  • Creating Serious Robots That Improve Society

    Susan Imberman, Jean McManus, Gina Otts

    PDF
  • A Summer Research Experience in Robotics

    Cindy Grimm, Alicia Lyman-Holt, William Smart

    PDF

Demonstrations

  • Efficient Clinical Concept Extraction in Electronic Medical Records

    Yufan Guo, Deepika Kakrania, Tyler Baldwin, Tanveer Syeda-Mahmood

    PDF
  • Deep Music: Towards Musical Dialogue

    Mason Bretan, Sageev Oore, Jesse Engel, Douglas Eck, Larry Heck

    PDF
  • Webly-Supervised Learning of Multimodal Video Detectors

    Junwei Liang, Lu Jiang, Alexander Hauptmann

    PDF
  • Natural Language Dialogue for Building and Learning Models and Structures

    Ian Perera, James Allen, Lucian Galescu, Choh Man Teng, Mark Burstein, Scott Friedman, David McDonald, Jeffrey Rye

    PDF
  • An Event Reconstruction Tool for Conflict Monitoring Using Social Media

    Junwei Liang, Desai Fan, Han Lu, Poyao Huang, Jia Chen, Lu Jiang, Alexander Hauptmann

    PDF
  • Arnold: An Autonomous Agent to Play FPS Games

    Devendra Singh Chaplot, Guillaume Lample

    PDF
  • SenseRun: Real-Time Running Routes Recommendation towards Providing Pleasant Running Experiences

    Jiayu Long, Jia Jia, Han Xu

    PDF
  • Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation

    Aditya Joshi, Diptesh Kanojia, Pushpak Bhattacharyya, Mark Carman

    PDF
  • AniDraw: When Music and Dance Meet Harmoniously

    Yaohua Bu, Tang Taoran, Jia Jia, Ma Zhiyuan, Wu Songyao, You Yuming

    PDF
  • Integrating Verbal and Nonvebval Input into a Dynamic Response Spoken Dialogue System

    Ting-Yao Hu, Chirag Raman, Salvador Medina Maza, Liangke Gui, Tadas Baltrusaitis, Robert Frederking, Louis-Philippe Morency, Alan Black, Maxine Eskenazi

    PDF
  • From Semantic Models to Cognitive Buildings

    Joern Ploennigs, Anika Schumann

    PDF
  • A Virtual Personal Fashion Consultant: Learning from the Personal Preference of Fashion

    Jingtian Fu, Yejun Liu, Jia Jia, Yihui Ma, Fanhang Meng, Huan Huang

    PDF
  • Visual Memory QA: Your Personal Photo and Video Search Agent

    Lu Jiang, LiangLiang Cao, Yannis Kalantidis, Sachin Farfade, Alex Hauptmann

    PDF

Doctoral Consortium

  • Human-Like Spatial Reasoning Formalisms

    Przemyslaw Walega

    PDF
  • A Supervised Sparse Learning Framework to Solve EEG Inverse Problem for Discriminative Activations Pattern

    Feng Liu

    PDF
  • Representations for Continuous Learning

    David Isele

    PDF
  • Joint Learning of Structural and Textual Features for Web Scale Event Extraction

    Julia Wiedmann

    PDF
  • Modelling Familiarity for Intelligent Personalized Social Mobilization

    Zhengxiang Pan

    PDF
  • Scalable Nonparametric Tensor Analysis

    Shandian Zhe

    PDF
  • Problem Formulation for Accommodation Support in Plan-Based Interactive Narratives

    Adam Amos-Binks

    PDF
  • Improving Deep Reinforcement Learning with Knowledge Transfer

    Ruben Glatt, Anna Costa

    PDF
  • An Evolutionary Algorithm Based Framework for Task Allocation in Multi-Robot Teams

    Muhammad Arif

    PDF
  • Transfer of Knowledge through Collective Learning

    Mohammad Rostami

    PDF
  • Structured Prediction in Time Series Data

    Jia Li

    PDF
  • Project Scheduling in Complex Business Environments

    Wen Song

    PDF
  • Accelerating Multiagent Reinforcement Learning through Transfer Learning

    Felipe da Silva, Anna Costa

    PDF
  • Explainable Image Understanding Using Vision and Reasoning

    Somak Aditya

    PDF
  • Problems in Large-Scale Image Classification

    Yuchen Guo

    PDF
  • V for Verification: Intelligent Algorithm of Checking Reliability of Smart Systems

    Anna Lukina

    PDF

Main Track: Machine Learning Applications

  • Portfolio Selection via Subset Resampling

    Weiwei Shen, Jun Wang

    PDF
  • Knowledge Transfer for Deep Reinforcement Learning with Hierarchical Experience Replay

    Haiyan Yin, Sinno Pan

    PDF
  • Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem

    Yoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey Rosenschein

    PDF
  • FeaBoost: Joint Feature and Label Refinement for Semantic Segmentation

    Yulei Niu, Zhiwu Lu, Songfang Huang, Xin Gao, Ji-Rong Wen

    PDF
  • Contextual RNN-GANs for Abstract Reasoning Diagram Generation

    Viveka Kulharia, Arnab Ghosh, Amitabha Mukerjee, Vinay Namboodiri, Mohit Bansal

    PDF
  • Multiset Feature Learning for Highly Imbalanced Data Classification

    Fei Wu, Xiao-Yuan Jing, Shiguang Shan, Wangmeng Zuo, Jing-Yu Yang

    PDF
  • Discriminative Semi-Supervised Dictionary Learning with Entropy Regularization for Pattern Classification

    Meng Yang, Lin Chen

    PDF
  • Additional Multi-Touch Attribution for Online Advertising

    Wendi Ji, Xiaoling Wang

    PDF
  • Neural Programming by Example

    Chengxun Shu, Hongyu Zhang

    PDF
  • Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

    Junbo Zhang, Yu Zheng, Dekang Qi

    PDF
  • ICU Mortality Prediction: A Classification Algorithm for Imbalanced Datasets

    Sakyajit Bhattacharya, Vaibhav Rajan, Harsh Shrivastava

    PDF
  • On Predictive Patent Valuation: Forecasting Patent Citations and Their Types

    Xin Liu, Junchi Yan, Shuai Xiao, Xiangfeng Wang, Hongyuan Zha, Stephen Chu

    PDF
  • Simultaneous Clustering and Ensemble

    Zhiqiang Tao, Hongfu Liu, Yun Fu

    PDF
  • Soft Video Parsing by Label Distribution Learning

    Xin Geng, Miaogen Ling

    PDF
  • Coupling Implicit and Explicit Knowledge for Customer Volume Prediction

    Jingyuan Wang, Yating Lin, Junjie Wu, Zhong Wang, Zhang Xiong

    PDF
  • Multidimensional Scaling on Multiple Input Distance Matrices

    Song Bai, Xiang Bai, Longin Jan Latecki, Qi Tian

    PDF
  • Event Video Mashup: From Hundreds of Videos to Minutes of Skeleton

    Lianli Gao, Peng Wang, Jingkuan Song, Zi Huang, Jie Shao, Heng Shen

    PDF
  • Unsupervised Deep Learning for Optical Flow Estimation

    Zhe Ren, Junchi Yan, Bingbing Ni, Bin Liu, Xiaokang Yang, Hongyuan Zha

    PDF
  • Collaborative Dynamic Sparse Topic Regression with User Profile Evolution for Item Recommendation

    Li Gao, Jia Wu, Chuan Zhou, Yue Hu

    PDF
  • Modeling the Intensity Function of Point Process Via Recurrent Neural Networks

    Shuai Xiao, Junchi Yan, Xiaokang Yang, Hongyuan Zha, Stephen Chu

    PDF
  • Personalized Donor-Recipient Matching for Organ Transplantation

    Jinsung Yoon, Ahmed Alaa, Martin Cadeiras, Mihaela van der Schaar

    PDF
  • Multitask Dyadic Prediction and Its Application in Prediction of Adverse Drug-Drug Interaction

    Bo Jin, Haoyu Yang, Cao Xiao, Ping Zhang, Xiaopeng Wei, Fei Wang

    PDF
  • Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval

    Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao

    PDF
  • Learning Attributes from the Crowdsourced Relative Labels

    Tian Tian, Ning Chen, Jun Zhu

    PDF
  • Adverse Drug Reaction Prediction with Symbolic Latent Dirichlet Allocation

    Cao Xiao, Ping Zhang, W. Chaovalitwongse, Jianying Hu, Fei Wang

    PDF
  • Robust Manifold Matrix Factorization for Joint Clustering and Feature Extraction

    Lefei Zhang, Qian Zhang, Bo Du, Dacheng Tao, Jane You

    PDF
  • Learning with Feature Network and Label Network Simultaneously

    Yingming Li, Ming Yang, Zenglin Xu, Zhongfei (Mark) Zhang

    PDF
  • Active Learning with Cross-Class Similarity Transfer

    Yuchen Guo, Guiguang Ding, Yue Gao, Jungong Han

    PDF
  • Progressive Prediction of Student Performance in College Programs

    Jie Xu, Yuli Han, Daniel Marcu, Mihaela van der Schaar

    PDF
  • Low-Rank Linear Cold-Start Recommendation from Social Data

    Suvash Sedhain, Aditya Menon, Scott Sanner, Lexing Xie, Darius Braziunas

    PDF
  • Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU

    Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka

    PDF
  • Finding Cut from the Same Cloth: Cross Network Link Recommendation via Joint Matrix Factorization

    Arun Reddy Nelakurthi, Jingrui He

    PDF
  • Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback

    Yan Zhang, Defu Lian, Guowu Yang

    PDF
  • Fine-Grained Recurrent Neural Networks for Automatic Prostate Segmentation in Ultrasound Images

    Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng

    PDF
  • Fast Inverse Reinforcement Learning with Interval Consistent Graph for Driving Behavior Prediction

    Masamichi Shimosaka, Junichi Sato, Kazuhito Takenaka, Kentarou Hitomi

    PDF
  • Let Your Photos Talk: Generating Narrative Paragraph for Photo Stream via Bidirectional Attention Recurrent Neural Networks

    Yu Liu, Jianlong Fu, Tao Mei, Chang Wen Chen

    PDF
  • Explicit Defense Actions Against Test-Set Attacks

    Scott Alfeld, Xiaojin Zhu, Paul Barford

    PDF
  • Predicting Soccer Highlights from Spatio-Temporal Match Event Streams

    Tom Decroos, Vladimir Dzyuba, Jan Van Haaren, Jesse Davis

    PDF
  • Enabling Dark Energy Science with Deep Generative Models of Galaxy Images

    Siamak Ravanbakhsh, Francois Lanusse, Rachel Mandelbaum, Jeff Schneider, Barnabas Poczos

    PDF
  • GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering

    Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen Chu

    PDF
  • Bridging Video Content and Comments: Synchronized Video Description with Temporal Summarization of Crowdsourced Time-Sync Comments

    Linli Xu, Chao Zhang

    PDF
  • Data-Driven Approximations to NP-Hard Problems

    Anton Milan, S. Rezatofighi, Ravi Garg, Anthony Dick, Ian Reid

    PDF
  • Collaborative Company Profiling: Insights from an Employee’s Perspective

    Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Junjie Wu, Hui Xiong

    PDF
  • A Framework for Minimal Clustering Modification via Constraint Programming

    Chia-Tung Kuo, S. Ravi, Thi-Bich-Hanh Dao, Christel Vrain, Ian Davidson

    1389

    PDF
  • Exploring Normalization in Deep Residual Networks with Concatenated Rectified Linear Units

    Wenling Shang, Justin Chiu, Kihyuk Sohn

    PDF
  • ESPACE: Accelerating Convolutional Neural Networks via Eliminating Spatial and Channel Redundancy

    Shaohui Lin, Rongrong Ji, Chao Chen, Feiyue Huang

    PDF
  • Predicting Demographics of High-Resolution Geographies with Geotagged Tweets

    Omar Montasser, Daniel Kifer

    PDF
  • ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems

    DongSheng Li, Chao Chen, Qin Lv, Li Shang, Stephen Chu, Hongyuan Zha

    PDF
  • A Deep Hierarchical Approach to Lifelong Learning in Minecraft

    Chen Tessler, Shahar Givony, Tom Zahavy, Daniel Mankowitz, Shie Mannor

    1553

    PDF
  • Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification

    Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen

    PDF
  • DeepFix: Fixing Common C Language Errors by Deep Learning

    Rahul Gupta, Soham Pal, Aditya Kanade, Shirish Shevade

    PDF
  • Question DifÞculty Prediction for READING Problems in Standard Tests

    Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu

    PDF
  • Beyond Monte Carlo Tree Search: Playing Go with Deep Alternative Neural Network and Long-Term Evaluation

    Jinzhuo Wang, Wenmin Wang, Ronggang Wang, Wen Gao

    PDF
  • A Hybrid Collaborative Filtering Model with Deep Structure for Recommender Systems

    Xin Dong, Lei Yu, Zhonghuo Wu, Yuxia Sun, Lingfeng Yuan, Fangxi Zhang

    PDF
  • Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks

    Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen

    PDF
  • A Sparse Dictionary Learning Framework to Discover Discriminative Source Activations in EEG Brain Mapping

    Feng Liu, Shouyi Wang, Jay Rosenberger, Jianzhong Su, Hanli Liu

    PDF
  • CatchÕEm All: Locating Multiple Diffusion Sources in Networks with Partial Observations

    Kai Zhu, Zhen Chen, Lei Ying

    PDF

Main Track: NLP and Machine Learning

  • Distinguish Polarity in Bag-of-Words Visualization

    Yusheng Xie, Zhengzhang Chen, Ankit Agrawal, Alok Choudhary

    PDF
  • Neural Machine Translation Advised by Statistical Machine Translation

    Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang

    PDF
  • Recurrent Attentional Topic Model

    Shuangyin Li, Yu Zhang, Rong Pan, Mingzhi Mao, Yang Yang

    PDF
  • Disambiguating Spatial Prepositions Using Deep Convolutional Networks

    Kaveh Hassani, Won-Sook Lee

    PDF
  • Robsut Wrod Reocginiton via Semi-Character Recurrent Neural Network

    Keisuke Sakaguchi, Kevin Duh, Matt Post, Benjamin Van Durme

    PDF
  • Maximum Reconstruction Estimation for Generative Latent-Variable Models

    Yong Cheng, Yang Liu, Wei Xu

    PDF
  • Translation Prediction with Source Dependency-Based Context Representation

    Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu

    PDF
  • Joint Copying and Restricted Generation for Paraphrase

    Ziqiang Cao, Chuwei Luo, Wenjie Li, Sujian Li

    PDF
  • Mechanism-Aware Neural Machine for Dialogue Response Generation

    Ganbin Zhou, Ping Luo, Rongyu Cao, Fen Lin, Bo Chen, Qing He

    PDF
  • A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media

    Hangfeng He, Xu Sun

    PDF
  • Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms

    Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao

    PDF
  • Condensed Memory Networks for Clinical Diagnostic Inferencing

    Aaditya Prakash, Siyuan Zhao, Sadid Hasan, Vivek Datla, Kathy Lee, Ashequl Qadir, Joey Liu, Oladimeji Farri

    PDF
  • Coherent Dialogue with Attention-Based Language Models

    Hongyuan Mei, Mohit Bansal, Matthew Walter

    PDF
  • Active Discriminative Text Representation Learning

    Ye Zhang, Matthew Lease, Byron Wallace

    PDF
  • BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings

    Biao Zhang, Deyi Xiong, Jinsong Su

    PDF
  • Deterministic Attention for Sequence-to-Sequence Constituent Parsing

    Chunpeng Ma, Lemao Liu, Akihiro Tamura, Tiejun Zhao, Eiichiro Sumita

    PDF
  • Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation

    Jinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, Yang Liu

    PDF
  • Unsupervised Learning for Lexicon-Based Classification

    Jacob Eisenstein

    PDF
  • Variational Autoencoder for Semi-Supervised Text Classification

    Weidi Xu, Haoze Sun, Chao Deng, Ying Tan

    PDF
  • Incorporating Expert Knowledge into Keyphrase Extraction

    Sujatha Das Gollapalli, Xiao-li Li, Peng Yang

    PDF
  • Semantic Parsing with Neural Hybrid Trees

    Raymond Hendy Susanto, Wei Lu

    PDF
  • Incrementally Learning the Hierarchical Softmax Function for Neural Language Models

    Hao Peng, Jianxin Li, Yangqiu Song, Yaopeng Liu

    PDF
  • Neural Models for Sequence Chunking

    Feifei Zhai, Saloni Potdar, Bing Xiang, Bowen Zhou

    PDF
  • A Dynamic Window Neural Network for CCG Supertagging

    Huijia Wu, Jiajun Zhang, Chengqing Zong

    3337

    PDF
  • Improving Word Embeddings with Convolutional Feature Learning and Subword Information

    Shaosheng Cao, Wei Lu

    PDF
  • Geometry of Compositionality

    Hongyu Gong, Suma Bhat, Pramod Viswanath

    PDF
  • Dual-Clustering Maximum Entropy with Application to Classification and Word Embedding

    Xiaolong Wang, Jingjing Wang, Chengxiang Zhai

    PDF
  • Representations of Context in Recognizing the Figurative and Literal Usages of Idioms

    Changsheng Liu, Rebecca Hwa

    PDF
  • Learning Context-Specific Word/Character Embeddings

    Xiaoqing Zheng, Jiangtao Feng, Yi Chen, Haoyuan Peng, Wenqing Zhang

    PDF
  • Definition Modeling: Learning to Define Word Embeddings in Natural Language

    Thanapon Noraset, Chen Liang, Larry Birnbaum, Doug Downey

    PDF
  • A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

    Iulian Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron Courville, Yoshua Bengio

    PDF
  • Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation

    Iulian Serban, Tim Klinger, Gerald Tesauro, Kartik Talamadupula, Bowen Zhou, Yoshua Bengio, Aaron Courville

    PDF
  • Topic Aware Neural Response Generation

    Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma

    PDF
  • Unsupervised Learning of Evolving Relationships Between Literary Characters

    Snigdha Chaturvedi, Mohit Iyyer, Hal Daume III

    PDF
  • Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge

    Matt Gardner, Jayant Krishnamurthy

    PDF
  • S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions

    Xian-Ling Mao, Bo-Si Feng, Yi-Jing Hao, Liqiang Nie, Heyan Huang, Guihua Wen

    PDF
  • Bayesian Neural Word Embedding

    Oren Barkan

    PDF
  • Bilingual Lexicon Induction from Non-Parallel Data with Minimal Supervision

    Meng Zhang, Haoruo Peng, Yang Liu, Huanbo Luan, Maosong Sun

    PDF

Main Track: NLP and Knowledge Representation

  • A Context-Enriched Neural Network Method for Recognizing Lexical Entailment

    Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv

    3127

    PDF
  • SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions

    Han Xiao, Minlie Huang, Lian Meng, Xiaoyan Zhu

    PDF
  • Distant Supervision for Relation Extraction with Sentence-Level Attention and Entity Descriptions

    Guoliang Ji, Kang Liu, Shizhu He, Jun Zhao

    PDF
  • Neural Machine Translation with Reconstruction

    Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li

    PDF
  • Incorporating Knowledge Graph Embeddings into Topic Modeling

    Liang Yao, Yin Zhang, Baogang Wei, Zhe Jin, Rui Zhang, Yangyang Zhang, Qinfei Chen

    PDF
  • SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents

    Ramesh Nallapati, Feifei Zhai, Bowen Zhou

    PDF
  • Unit Dependency Graph and Its Application to Arithmetic Word Problem Solving

    Subhro Roy, Dan Roth

    PDF
  • Efficiently Answering Technical Questions Ñ A Knowledge Graph Approach

    Shuo Yang, Lei Zou, Zhongyuan Wang, Jun Yan, Ji-Rong Wen

    PDF
  • Prerequisite Skills for Reading Comprehension: Multi-Perspective Analysis of MCTest Datasets and Systems

    Saku Sugawara, Hikaru Yokono, Akiko Aizawa

    PDF
  • Neural Bag-of-Ngrams

    Bofang Li, Tao Liu, Zhe Zhao, Puwei Wang, Xiaoyong Du

    PDF
  • Improving Multi-Document Summarization via Text Classification

    Ziqiang Cao, Wenjie Li, Sujian Li, Furu Wei

    PDF

AAAI Technical Track: Reasoning under Uncertainty

  • Causal Effect Identification by Adjustment under Confounding and Selection Biases

    Juan Correa, Elias Bareinboim

    PDF
  • Deterministic versus Probabilistic Methods for Searching for an Evasive Target

    Sara Bernardini, Maria Fox, Derek Long, Chiara Piacentini

    PDF
  • Anytime Best+Depth-First Search for Bounding Marginal MAP

    Radu Marinescu, Junkyu Lee, Alexander Ihler, Rina Dechter

    PDF
  • Misspecified Linear Bandits

    Avishek Ghosh, Sayak Ray Chowdhury, Aditya Gopalan

    PDF
  • Multi-Objective Influence Diagrams with Possibly Optimal Policies

    Radu Marinescu, Abdul Razak, Nic Wilson

    PDF
  • Reasoning about Cognitive Trust in Stochastic Multiagent Systems

    Xiaowei Huang, Marta Kwiatkowska

    PDF
  • The Kernel Kalman Rule Ñ Efficient Nonparametric Inference with Recursive Least Squares

    Gregor Gebhardt, Andras Kupcsik, Gerhard Neumann

    PDF
  • The Linearization of Belief Propagation on Pairwise Markov Random Fields

    Wolfgang Gatterbauer

    PDF
  • Non-Deterministic Planning with Temporally Extended Goals: LTL over Finite and Infinite Traces

    Alberto Camacho, Eleni Triantafillou, Christian Muise, Jorge Baier, Sheila McIlraith

    PDF
  • Hindsight Optimization for Hybrid State and Action MDPs

    Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern

    PDF
  • Open-Universe Weighted Model Counting

    Vaishak Belle

    PDF
  • I See What You See: Inferring Sensor and Policy Models of Human Real-World Motor Behavior

    Felix Schmitt, Hans-Joachim Bieg, Michael Herman, Constantin Rothkopf

    PDF
  • Latent Dependency Forest Models

    Shanbo Chu, Yong Jiang, Kewei Tu

    PDF
  • Solving Constrained Combinatorial Optimisation Problems via MAP Inference without High-Order Penalties

    Zhen Zhang, Qinfeng Shi, Julian McAuley, Wei Wei, Yanning Zhang, Rui Yao, Anton van den Hengel

    PDF
  • Minimal Undefinedness for Fuzzy Answer Sets

    Mario Alviano, Giovanni Amendola, Rafael Pe–aloza

    PDF
  • Optimizing Expectation with Guarantees in POMDPs

    Krishnendu Chatterjee, Petr Novotn_, Guillermo PŽrez, Jean-Franois Raskin, _or_e _ikeli_

    PDF

AAAI Technical Track: Robotics

  • Latent Dirichlet Allocation for Unsupervised Activity Analysis on an Autonomous Mobile Robot

    Paul Duckworth, Muhannad Alomari, James Charles, David Hogg, Anthony Cohn

    PDF
  • Grounded Action Transformation for Robot Learning in Simulation

    Josiah Hanna, Peter Stone

    PDF
  • Deep Learning Quadcopter Control via Risk-Aware Active Learning

    Olov Andersson, Mariusz Wzorek, Patrick Doherty

    PDF
  • Dynamically Constructed (PO)MDPs for Adaptive Robot Planning

    Shiqi Zhang, Piyush Khandelwal, Peter Stone

    PDF
  • Associate Latent Encodings in Learning from Demonstrations

    Hang Yin, Francisco Melo, Aude Billard, Ana Paiva

    PDF
  • A Diversified Generative Latent Variable Model for WiFi-SLAM

    Hao Xiong, Dacheng Tao

    3841

    PDF
  • Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps

    Vitor Guizilini, Fabio Ramos

    PDF

Main Track: Planning and Scheduling

  • On the Disruptive Effectiveness of Automated Planning for LTLf-Based Trace Alignment

    Giuseppe De Giacomo, Fabrizio Maria Maggi, Andrea Marrella, Fabio Patrizi

    PDF
  • Computational Issues in Time-Inconsistent Planning

    Pingzhong Tang, Yifeng Teng, Zihe Wang, Shenke Xiao, Yichong Xu

    PDF
  • Robust Execution of Probabilistic Temporal Plans

    Kyle Lund, Sam Dietrich, Scott Chow, James Boerkoel

    PDF
  • Validating Domains and Plans for Temporal Planning via Encoding into Infinite-State Linear Temporal Logic

    Alessandro Cimatti, Andrea Micheli, Marco Roveri

    PDF
  • An Efficient Approach to Model-Based Hierarchical Reinforcement Learning

    Zhuoru Li, Akshay Narayan, Tze-Yun Leong

    PDF
  • Higher-Dimensional Potential Heuristics for Optimal Classical Planning

    Florian Pommerening, Malte Helmert, Blai Bonet

    PDF
  • Optimizing Quantiles in Preference-Based Markov Decision Processes

    Hugo Gilbert, Paul Weng, Yan Xu

    PDF
  • An Analysis of Monte Carlo Tree Search

    Steven James, George Konidaris, Benjamin Rosman

    PDF
  • Plan Reordering and Parallel Execution Ñ A Parameterized Complexity View

    Meysam Aghighi, Christer BŠckstršm

    PDF
  • Best-First Width Search: Exploration and Exploitation in Classical Planning

    Nir Lipovetzky, Hector Geffner

    PDF
  • Human-Aware Plan Recognition

    Hankz Zhuo

    PDF
  • Accelerated Vector Pruning for Optimal POMDP Solvers

    Erwin Walraven, Matthijs Spaan

    PDF
  • Narrowing the Gap Between Saturated and Optimal Cost Partitioning for Classical Planning

    Jendrik Seipp, Thomas Keller, Malte Helmert

    PDF
  • Landmark-Based Heuristics for Goal Recognition

    Ramon Pereira, Nir Oren, Felipe Meneguzzi

    PDF
  • Multi-Agent Path Finding with Delay Probabilities

    Hang Ma, T. K. Satish Kumar, Sven Koenig

    PDF
  • Incorporating Domain-Independent Planning Heuristics in Hierarchical Planning

    Vikas Shivashankar, Ron Alford, David Aha

    PDF
  • Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs

    Frits de Nijs, Erwin Walraven, Mathijs de Weerdt, Matthijs Spaan

    PDF
  • Fast SSP Solvers Using Short-Sighted Labeling

    Luis Pineda, Kyle Wray, Shlomo Zilberstein

    PDF
  • Logical Filtering and Smoothing: State Estimation in Partially Observable Domains

    Brent Mombourquette, Christian Muise, Sheila McIlraith

    PDF
  • Schematic Invariants by Reduction to Ground Invariants

    Jussi Rintanen

    PDF
  • When to Reset Your Keys: Optimal Timing of Security Updates via Learning

    Zizhan Zheng, Ness Shroff, Prasant Mohapatra

    PDF

AAAI Technical Track: AI and the Web

  • Phrase-Based Presentation Slides Generation for Academic Papers

    Sida Wang, Xiaojun Wan, Shikang Du

    PDF
  • POI2Vec: Geographical Latent Representation for Predicting Future Visitors

    Shanshan Feng, Gao Cong, Bo An, Yeow Meng Chee

    PDF
  • Expectile Matrix Factorization for Skewed Data Analysis

    Rui Zhu, Di Niu, Linglong Kong, Zongpeng Li

    PDF
  • Visual Sentiment Analysis by Attending on Local Image Regions

    Quanzeng You, Hailin Jin, Jiebo Luo

    PDF
  • Radon Ð Rapid Discovery of Topological Relations

    Mohamed Sherif, Kevin Dre§ler, Panayiotis Smeros, Axel-Cyrille Ngonga Ngomo

    PDF
  • Multiple Source Detection without Knowing the Underlying Propagation Model

    Zheng Wang, Chaokun Wang, Jisheng Pei, Xiaojun Ye

    PDF
  • CLARE: A Joint Approach to Label Classification and Tag Recommendation

    Yilin Wang, Suhang Wang, Jiliang Tang, Guojun Qi, Huan Liu, Baoxin Li

    PDF
  • Learning Visual Sentiment Distributions via Augmented Conditional Probability Neural Network

    Jufeng Yang, Ming Sun, Xiaoxiao Sun

    PDF
  • Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture

    Kyosuke Nishida, Kugatsu Sadamitsu, Ryuichiro Higashinaka, Yoshihiro Matsuo

    PDF
  • Transitive Hashing Network for Heterogeneous Multimedia Retrieval

    Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang

    PDF
  • Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding

    Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying

    PDF
  • Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents

    Dongxiao He, Zhiyong Feng, Di Jin, Xiaobao Wang, Weixiong Zhang

    PDF
  • Community Preserving Network Embedding

    Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang

    PDF
  • Multi-Task Deep Learning for User Intention Understanding in Speech Interaction Systems

    Yishuang Ning, Jia Jia, Zhiyong Wu, Runnan Li, Yongsheng An, Yanfeng Wang, Helen Meng

    PDF
  • Treatment Effect Estimation with Data-Driven Variable Decomposition

    Kun Kuang, Peng Cui, Bo Li, Meng Jiang, Shiqiang Yang, Fei Wang

    PDF
  • Correlated Cascades: Compete or Cooperate

    Ali Zarezade, Ali Khodadadi, Mehrdad Farajtabar, Hamid Rabiee, Hongyuan Zha

    PDF
  • Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem

    Fan Zhang, Ying Zhang, Lu Qin, Wenjie Zhang, Xuemin Lin

    PDF
  • Read the Silence: Well-Timed Recommendation via Admixture Marked Point Processes

    Hideaki Kim, Tomoharu Iwata, Yasuhiro Fujiwara, Naonori Ueda

    PDF
  • Marrying Uncertainty and Time in Knowledge Graphs

    Melisachew Chekol, Giuseppe Pirr˜, Joerg Schoenfisch, Heiner Stuckenschmidt

    PDF
  • Random-Radius Ball Method for Estimating Closeness Centrality

    Wataru Inariba, Takuya Akiba, Yuichi Yoshida

    PDF
  • TweetFit: Fusing Multiple Social Media and Sensor Data for Wellness Profile Learning

    Aleksandr Farseev, Tat-Seng Chua

    PDF
  • A Dependency-Based Neural Reordering Model for Statistical Machine Translation

    Christian Hadiwinoto, Hwee Tou Ng

    109

    PDF
  • Web-Based Semantic Fragment Discovery for On-Line Lingual-Visual Similarity

    Xiaoshuai Sun, Jiewei Cao, Chao Li, Lei Zhu, Heng Tao Shen

    PDF
  • A Declarative Approach to Data-Driven Fact Checking

    Julien Leblay

    147

    PDF
  • Exploiting both Vertical and Horizontal Dimensions of Feature Hierarchy for Effective Recommendation

    Zhu Sun, Jie Yang, Jie Zhang, Alessandro Bozzon

    PDF
  • Efficient Delivery Policy to Minimize User Traffic Consumption in Guaranteed Advertising

    Jia Zhang, Zheng Wang, Qian Li, Jialin Zhang, Yanyan Lan, Qiang Li, Xiaoming Sun

    PDF

AAAI Technical Track: Game Theory and Economic Paradigms

  • Obvious Strategyproofness Needs Monitoring for Good Approximations

    Diodato Ferraioli, Carmine Ventre

    PDF
  • Selfish Knapsack

    Itai Feigenbaum, Matthew Johnson

    PDF
  • Fans Economy and All-Pay Auctions with Proportional Allocations

    Pingzhong Tang, Yulong Zeng, Song Zuo

    PDF
  • Extensive-Form Perfect Equilibrium Computation in Two-Player Games

    Gabriele Farina, Nicola Gatti

    PDF
  • The Dollar Auction with Spiteful Players

    Marcin Waniek, Long Tran-Thanh, Tomasz Michalak, Nicholas Jennings

    PDF
  • Envy-Free Mechanisms with Minimum Number of Cuts

    Reza Alijani, Majid Farhadi, Mohammad Ghodsi, Masoud Seddighin, Ahmad Tajik

    PDF
  • Computing Least Cores of Supermodular Cooperative Games

    Daisuke Hatano, Yuichi Yoshida

    PDF
  • Complexity of Manipulating Sequential Allocation

    Haris Aziz, Sylvain Bouveret, JŽr™me Lang, Simon Mackenzie

    PDF
  • Optimizing Positional Scoring Rules for Rank Aggregation

    Ioannis Caragiannis, Xenophon Chatzigeorgiou, George Krimpas, Alexandros Voudouris

    PDF
  • Optimal Pricing for Submodular Valuations with Bounded Curvature

    Takanori Maehara, Yasushi Kawase, Hanna Sumita, Katsuya Tono, Ken-ichi Kawarabayashi

    PDF
  • Vote Until Two of You Agree: Mechanisms with Small Distortion and Sample Complexity

    Stephen Gross, Elliot Anshelevich, Lirong Xia

    PDF
  • Teams in Online Scheduling Polls: Game-Theoretic Aspects

    Robert Bredereck, Jiehua Chen, Rolf Niedermeier, Svetlana Obraztsova, Nimrod Talmon

    PDF
  • Axiomatic Characterization of Game-Theoretic Network Centralities

    Oskar Skibski, Tomasz Michalak, Talal Rahwan

    PDF
  • Exclusion Method for Finding Nash Equilibrium in Multiplayer Games

    Kimmo Berg, Tuomas Sandholm

    PDF
  • Algorithms for Max-Min Share Fair Allocation of Indivisible Chores

    Haris Aziz, Gerhard Rauchecker, Guido Schryen, Toby Walsh

    PDF
  • The Complexity of Stable Matchings under Substitutable Preferences

    Yuan Deng, Debmalya Panigrahi, Bo Waggoner

    PDF
  • Crowdsourced Outcome Determination in Prediction Markets

    Rupert Freeman, Sebastien Lahaie, David Pennock

    PDF
  • Heuristic Search Value Iteration for One-Sided Partially Observable Stochastic Games

    Karel Hor‡k, Branislav Bo_ansk_, Michal P_chou_ek

    PDF
  • Achieving Sustainable Cooperation in Generalized Prisoner’s Dilemma with Observation Errors

    Fuuki Shigenaka, Tadashi Sekiguchi, Atsushi Iwasaki, Makoto Yokoo

    PDF
  • Automated Design of Robust Mechanisms

    Michael Albert, Vincent Conitzer, Peter Stone

    PDF
  • Approximation and Parameterized Complexity of Minimax Approval Voting

    Marek Cygan, _ukasz Kowalik, Arkadiusz Soca_a, Krzysztof Sornat

    PDF
  • On Covering Codes and Upper Bounds for the Dimension of Simple Games

    Martin Olsen

    PDF
  • Disarmament Games

    Yuan Deng, Vincent Conitzer

    PDF
  • Team-Maxmin Equilibrium: Efficiency Bounds and Algorithms

    Nicola Basilico, Andrea Celli, Giuseppe De Nittis, Nicola Gatti

    PDF
  • Non-Additive Security Games

    Sinong Wang, Fang Liu, Ness Shroff

    PDF
  • Network, Popularity and Social Cohesion: A Game-Theoretic Approach

    Jiamou Liu, Ziheng Wei

    PDF
  • Optimal Personalized Defense Strategy Against Man-In-The-Middle Attack

    Xiaohong Li, Shuxin Li, Jianye Hao, Zhiyong Feng, Bo An

    PDF
  • On Markov Games Played by Bayesian and Boundedly-Rational Players

    Muthukumaran Chandrasekaran, Yingke Chen, Prashant Doshi

    PDF
  • Preference Elicitation For Participatory Budgeting

    Gerdus Benade, Swaprava Nath, Ariel Procaccia, Nisarg Shah

    PDF
  • Bounded Rationality of Restricted Turing Machines

    Lijie Chen, Pingzhong Tang, Ruosong Wang

    PDF
  • The Computational Complexity of Weighted Greedy Matching

    Argyrios Deligkas, George Mertzios, Paul Spirakis

    PDF
  • Complexity of the Stable Invitations Problem

    Hooyeon Lee, Vassilevska Williams

    PDF
  • An Ambiguity Aversion Model for Decision Making under Ambiguity

    Wenjun Ma, Xudong Luo, Yuncheng Jiang

    PDF
  • Mechanism Design for Multi-Type Housing Markets

    Sujoy Sikdar, Sibel Adali, Lirong Xia

    PDF
  • Market Pricing for Data Streams

    Melika Abolhassani, Hossein Esfandiari, MohammadTaghi Hajiaghayi, Brendan Lucier, Hadi Yami

    PDF
  • Faster and Simpler Algorithm for Optimal Strategies of Blotto Game

    Soheil Behnezhad, Sina Dehghani, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Saeed Seddighin

    PDF
  • Engineering Agreement: The Naming Game with Asymmetric and Heterogeneous Agents

    Jie Gao, Bo Li, Grant Schoenebeck, Fang-Yi Yu

    PDF
  • Probably Approximately Efficient Combinatorial Auctions via Machine Learning

    Gianluca Brero, Benjamin Lubin, Sven Seuken

    PDF
  • Proportional Justified Representation

    Luis S‡nchez-Fern‡ndez, Edith Elkind, Martin Lackner, Norberto Fern‡ndez, Jesœs Fisteus, Pablo Basanta Val, Piotr Skowron

    PDF
  • What Do Multiwinner Voting Rules Do? An Experiment Over the Two-Dimensional Euclidean Domain

    Edith Elkind, Piotr Faliszewski, Jean-Francois Laslier, Piotr Skowron, Arkadii Slinko, Nimrod Talmon

    PDF
  • Incentivising Monitoring in Open Normative Systems

    Natasha Alechina, Joseph Halpern, Ian Kash, Brian Logan

    PDF
  • Sequential Peer Prediction: Learning to Elicit Effort using Posted Prices

    Yang Liu, Yiling Chen

    PDF
  • Group Activity Selection on Social Networks

    Ayumi Igarashi, Dominik Peters, Edith Elkind

    PDF
  • Resource Graph Games: A Compact Representation for Games with Structured Strategy Spaces

    Albert Jiang, Hau Chan, Kevin Leyton-Brown

    PDF
  • Preferences Single-Peaked on a Circle

    Dominik Peters, Martin Lackner

    PDF
  • Recognising Multidimensional Euclidean Preferences

    Dominik Peters

    PDF
  • Psychological Forest: Predicting Human Behavior

    Ori Plonsky, Ido Erev, Tamir Hazan, Moshe Tennenholtz

    PDF
  • Security Games on a Plane

    Jiarui Gan, Bo An, Yevgeniy Vorobeychik, Brian Gauch

    PDF
  • Multiwinner Approval Rules as Apportionment Methods

    Markus Brill, Jean-Francois Laslier, Piotr Skowron

    PDF
  • A Study of Compact Reserve Pricing Languages

    MohammadHossein Bateni, Hossein Esfandiary, Vahab Mirrokni, Saeed Seddighin

    PDF
  • Nash Stability in Social Distance Games

    Alkida Balliu, Michele Flammini, Giovanna Melideo, Dennis Olivetti

    PDF
  • Strategic Signaling and Free Information Disclosure in Auctions

    Shani Alkoby, David Sarne, Igal Milchtaich

    PDF
  • Winner Determination in Huge Elections with MapReduce

    Theresa Csar, Martin Lackner, Reinhard Pichler, Emanuel Sallinger

    PDF
  • On Pareto Optimality in Social Distance Games

    Alkida Balliu, Michele Flammini, Dennis Olivetti

    PDF
  • Revenue Maximization for Finitely Repeated Ad Auctions

    Jiang Rong, Tao Qin, Bo An, Tie-Yan Liu

    PDF
  • Mechanism Design in Social Networks

    Bin Li, Dong Hao, Dengji Zhao, Tao Zhou

    PDF
  • Tractable Algorithms for Approximate Nash Equilibria in Generalized Graphical Games with Tree Structure

    Luis Ortiz, Mohammad Irfan

    PDF
  • Dynamic Thresholding and Pruning for Regret Minimization

    Noam Brown, Christian Kroer, Tuomas Sandholm

    PDF
  • The Positronic Economist: A Computational System for Analyzing Economic Mechanisms

    David Thompson, Neil Newman, Kevin Leyton-Brown

    PDF
  • Small Representations of Big Kidney Exchange Graphs

    John Dickerson, Aleksandr Kazachkov, Ariel Procaccia, Tuomas Sandholm

    PDF
  • Proper Proxy Scoring Rules

    Jens Witkowski, Pavel Atanasov, Lyle Ungar, Andreas Krause

    PDF
  • Social Choice Under Metric Preferences: Scoring Rules and STV

    Piotr Skowron, Edith Elkind

    PDF
  • PhragmŽnÕs Voting Methods and Justified Representation

    Markus Brill, Rupert Freeman, Svante Janson, Martin Lackner

    PDF
  • Constrained Pure Nash Equilibria in Polymatrix Games

    Sunil Simon, Dominik Wojtczak

    PDF
  • Randomized Mechanisms for Selling Reserved Instances in Cloud

    Jia Zhang, Weidong Ma, Tao Qin, Xiaoming Sun, Tie-Yan Liu

    PDF

AAAI Technical Track: Game Playing and Interactive Entertainment

  • The Efficiency of the HyperPlay Technique Over Random Sampling

    Michael Schofield, Michael Thielscher

    PDF

AAAI Technical Track: Applications

  • StructInf: Mining Structural Influence from Social Streams

    Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, Jimeng Sun

    PDF
  • Profit-Driven Team Grouping in Social Networks

    Shaojie Tang

    PDF
  • Volumetric ConvNets with Mixed Residual Connections for Automated Prostate Segmentation from 3D MR Images

    Lequan Yu, Xin Yang, Hao Chen, Jing Qin, Pheng Ann Heng

    PDF
  • Taming the Matthew Effect in Online Markets with Social Influence

    Franco Berbeglia, Pascal Van Hentenryck

    PDF
  • Towards Better Understanding the Clothing Fashion Styles: A Multimodal Deep Learning Approach

    Yihui Ma, Jia Jia, Suping Zhou, Jingtian Fu, Yejun Liu, Zijian Tong

    PDF
  • Partitioned Sampling of Public Opinions Based on Their Social Dynamics

    Weiran Huang, Liang Li, Wei Chen

    PDF
  • SnapNETS: Automatic Segmentation of Network Sequences with Node Labels

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Cognitive Modeling and Cognitive Systems

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