AAAI 2019

1,341 papers

A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique

Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He

An Abstraction-Based Method for Verifying Strategic Properties in Multi-Agent Systems with Imperfect Information

Francesco Belardinelli, Alessio Lomuscio, Vadim Malvone

Consensus in Opinion Formation Processes in Fully Evolving Environments

Vincenzo Auletta, Angelo Fanelli, Diodato Ferraioli

Bayesian Execution Skill Estimation

Christopher Archibald, Delma Nieves-Rivera

Verification of RNN-Based Neural Agent-Environment Systems

Michael E. Akintunde, Andreea Kevorchian, Alessio Lomuscio, Edoardo Pirovano

Consensus Adversarial Domain Adaptation

Han Zou, Yuxun Zhou, Jianfei Yang, Huihan Liu, Hari Prasanna Das

Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources

Yongchun Zhu, Fuzhen Zhuang, Deqing Wang

Residual Invertible Spatio-Temporal Network for Video Super-Resolution

Xiaobin Zhu, Zhuangzi Li, Xiao-Yu Zhang, Changsheng Li, Yaqi Liu

DAN: Deep Attention Neural Network for News Recommendation

Qiannan Zhu, Xiaofei Zhou, Zeliang Song, Jianlong Tan, Li Guo

A Domain Generalization Perspective on Listwise Context Modeling

Lin Zhu, Yihong Chen, Bowen He

Communication-Optimal Distributed Dynamic Graph Clustering

Chun Jiang Zhu, Tan Zhu, Kam-Yiu Lam, Song Han, Jinbo Bi

An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression

Xichuan Zhou, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang

Deep Interest Evolution Network for Click-Through Rate Prediction

Guorui Zhou, Na Mou, Ying Fan, Qi Pi, Weijie Bian

Self-Supervised Mixture-of-Experts by Uncertainty Estimation

Zhuobin Zheng, Chun Yuan, Xinrui Zhu, Zhihui Lin, Yangyang Cheng

Capacity Control of ReLU Neural Networks by Basis-Path Norm

Shuxin Zheng, Qi Meng, Huishuai Zhang, Wei Chen, Nenghai Yu

Understanding VAEs in Fisher-Shannon Plane

Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang

A New Ensemble Learning Framework for 3D Biomedical Image Segmentation

Hao Zheng, Yizhe Zhang, Lin Yang, Peixian Liang, Zhuo Zhao

Biomedical Image Segmentation via Representative Annotation

Hao Zheng, Lin Yang, Jianxu Chen, JUN HAN, Yizhe Zhang

Self-Adversarially Learned Bayesian Sampling

Yang Zhao, Jianyi Zhang, Changyou Chen

InfoVAE: Balancing Learning and Inference in Variational Autoencoders

Shengjia Zhao, Jiaming Song, Stefano Ermon

Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation

Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li

The Adversarial Attack and Detection under the Fisher Information Metric

Chenxiao Zhao, P. Thomas Fletcher, Mixue Yu, Yaxin Peng, Guixu Zhang

Submodular Optimization over Streams with Inhomogeneous Decays

Junzhou Zhao, Shuo Shang, Pinghui Wang, John C.S. Lui, Xiangliang Zhang

SADIH: Semantic-Aware DIscrete Hashing

Zheng Zhang, Guo-sen Xie, Yang Li, Sheng Li, Zi Huang

Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially

Yudong Zhang, Wenhao Zheng, Ming Li

Learning (from) Deep Hierarchical Structure among Features

Yu Zhang, Lei Han

Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification

Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Ustebay

CAFE: Adaptive VDI Workload Prediction with Multi-Grained Features

Yao Zhang, Wen-Ping Fan, Xuan Wu, Hua Chen, Bin-Yang Li

Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector

Yan-Ya Zhang, Ming Li

Hashtag Recommendation for Photo Sharing Services

Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan

QUOTA: The Quantile Option Architecture for Reinforcement Learning

Shangtong Zhang, Hengshuai Yao

ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search

Shangtong Zhang, Hengshuai Yao

Learning to Communicate and Solve Visual Blocks-World Tasks

Qi Zhang, Richard Lewis, Satinder Singh, Edmund Durfee

Interactive Attention Transfer Network for Cross-Domain Sentiment Classification

Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu

A Powerful Global Test Statistic for Functional Statistical Inference

Jingwen Zhang, Joseph Ibrahim, Tengfei Li, Hongtu Zhu

RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications

Huan Zhang, Pengchuan Zhang, Cho-jui Hsieh

Learning Set Functions with Limited Complementarity

Hanrui Zhang

Active Mini-Batch Sampling Using Repulsive Point Processes

Cheng Zhang, Cengiz Oztireli, Stephan Mandt, Giampiero Salvi

Partially Observable Multi-Sensor Sequential Change Detection: A Combinatorial Multi-Armed Bandit Approach

Chen Zhang, Steven C.H. Hoi

Biqiao Zhang, Yuqing Kong, Georg Essl, Emily Mower Provost

Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods

Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji

Multi-Order Attentive Ranking Model for Sequential Recommendation

Lu Yu, Chuxu Zhang, Shangsong Liang, Xiangliang Zhang

Network Recasting: A Universal Method for Network Architecture Transformation

Joonsang Yu, Sungbum Kang, Kiyoung Choi

Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning

Hao Yu, Sen Yang, Shenghuo Zhu

Iterative Classroom Teaching

Teresa Yeo, Parameswaran Kamalaruban, Adish Singla, Arpit Merchant, Thibault Asselborn

Balanced Sparsity for Efficient DNN Inference on GPU

Zhuliang Yao, Shijie Cao, Wencong Xiao, Chen Zhang, Lanshun Nie

Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction

Huaxiu Yao, Xianfeng Tang, Hua Wei, Guanjie Zheng, Zhenhui Li

Learning Personalized Attribute Preference via Multi-Task AUC Optimization

Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang

Deep Robust Unsupervised Multi-Modal Network

Yang Yang, Yi-Feng Wu, De-Chuan Zhan, Zhi-Bin Liu, Yuan Jiang

Unsupervised Fake News Detection on Social Media: A Generative Approach

Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu

Confidence Weighted Multitask Learning

Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao

Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students

Chenglin Yang, Lingxi Xie, Siyuan Qiao, Alan L. Yuille

Weighted Oblique Decision Trees

Bin-Bin Yang, Song-Qing Shen, Wei Gao

Cross-Domain Visual Representations via Unsupervised Graph Alignment

Baoyao Yang, Pong C. Yuen

Oversampling for Imbalanced Data via Optimal Transport

Yuguang Yan, Mingkui Tan, Yanwu Xu, Jiezhang Cao, Michael Ng

Frame and Feature-Context Video Super-Resolution

Bo Yan, Chuming Lin, Weimin Tan

Active Learning of Multi-Class Classification Models from Ordered Class Sets

Yanbing Xue, Milos Hauskrecht

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

Yonghao Xu, Bo Du, Lefei Zhang, Qian Zhang, Guoli Wang

Task-Driven Common Representation Learning via Bridge Neural Network

Yao Xu, Xueshuang Xiang, Meiyu Huang

Data-Distortion Guided Self-Distillation for Deep Neural Networks

Ting-Bing Xu, Cheng-lin Liu

Partial Label Learning via Label Enhancement

Ning Xu, Jiaqi Lv, Xin Geng

Dueling Bandits with Qualitative Feedback

Liyuan Xu, Junya Honda, Masashi Sugiyama

Embedding-Based Complex Feature Value Coupling Learning for Detecting Outliers in Non-IID Categorical Data

Hongzuo Xu, Yongjun Wang, Zhiyue Wu, Yijie Wang

Hierarchical Classification Based on Label Distribution Learning

Changdong Xu, Xin Geng

Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks

Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-yan Liu

SpHMC: Spectral Hamiltonian Monte Carlo

Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu

Multi-View Multi-Instance Multi-Label Learning Based on Collaborative Matrix Factorization

Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang

Learning Dynamic Generator Model by Alternating Back-Propagation through Time

Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-chun Zhu, Ying Nian Wu

Understanding Persuasion Cascades in Online Product Rating Systems

Hong Xie, Yongkun Li, John C.S. Lui

RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace

Yun Xiao, Pengzhen Ren, Zhihui Li, Xiaojiang Chen, Xin Wang

Bayesian Deep Collaborative Matrix Factorization

Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng

Tied Transformers: Neural Machine Translation with Shared Encoder and Decoder

Yingce Xia, Tianyu He, Xu Tan, Fei Tian, Di He

Modelling of Bi-Directional Spatio-Temporal Dependence and Users’ Dynamic Preferences for Missing POI Check-In Identification

Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong

Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks

Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu

Point Cloud Processing via Recurrent Set Encoding

Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris Metaxas

Uncovering Specific-Shape Graph Anomalies in Attributed Graphs

Nannan Wu, Wenjun Wang, Feng Chen, Jianxin Li, Bo Li

How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings?

Jacob Whitehill

Efficient Gaussian Process Classification Using Pólya-Gamma Data Augmentation

Florian Wenzel, Théo Galy-Fajou, Christan Donner, Marius Kloft, Manfred Opper

RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series

Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu

Exploiting Local Feature Patterns for Unsupervised Domain Adaptation

Jun Wen, Risheng Liu, Nenggan Zheng, Qian Zheng, Zhefeng Gong

Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering

Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei

Learning Compact Model for Large-Scale Multi-Label Data

Tong Wei, Yu-feng Li

Non-Autoregressive Machine Translation with Auxiliary Regularization

Yiren Wang, Fei Tian, Di He, Tao Qin, ChengXiang Zhai

Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks

Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang

Deep Metric Learning by Online Soft Mining and Class-Aware Attention

Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Neil M. Robertson

Multiple Independent Subspace Clusterings

Xing Wang, Jun Wang, Carlotta Domeniconi, Guoxian Yu, Guoqiang Xiao

Transferable Attention for Domain Adaptation

Ximei Wang, Liang Li, Weirui Ye, Mingsheng Long, Jianmin Wang

Hyperbolic Heterogeneous Information Network Embedding

Xiao Wang, Yiding Zhang, Chuan Shi

Explainable Reasoning over Knowledge Graphs for Recommendation

Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao

SCNN: A General Distribution Based Statistical Convolutional Neural Network with Application to Video Object Detection

Tianchen Wang, Jinjun Xiong, Xiaowei Xu, Yiyu Shi

Robustness Can Be Cheap: A Highly Efficient Approach to Discover Outliers under High Outlier Ratios

Siqi Wang, En Zhu, Xiping Hu, Xinwang Liu, Qiang Liu

A Sharper Generalization Bound for Divide-and-Conquer Ridge Regression

Shusen Wang

HyperAdam: A Learnable Task-Adaptive Adam for Network Training

Shipeng Wang, Jian Sun, Zongben Xu

Scalable Distributed DL Training: Batching Communication and Computation

Shaoqi Wang, Aidi Pi, Xiaobo Zhou

An Efficient Approach to Informative Feature Extraction from Multimodal Data

Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu

SVM-Based Deep Stacking Networks

Jingyuan Wang, Kai Feng, Junjie Wu

Orderly Subspace Clustering

Jing Wang, Atsushi Suzuki, Linchuan Xu, Feng Tian, Liang Yang

Theoretical Analysis of Label Distribution Learning

Jing Wang, Xin Geng

Adversarial Binary Collaborative Filtering for Implicit Feedback

Haoyu Wang, Nan Shao, Defu Lian

Bounding Uncertainty for Active Batch Selection

Hanmo Wang, Runwu Zhou, Yi-Dong Shen