IJCAI 2019

964 papers

Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks

Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu

Learning to Learn Gradient Aggregation by Gradient Descent

Jinlong Ji, Xuhui Chen, Qianlong Wang, Lixing Yu, Pan Li

Assumed Density Filtering Q-learning

Heejin Jeong, Clark Zhang, George J. Pappas, Daniel D. Lee

Accelerating Extreme Classification via Adaptive Feature Agglomeration

Ankit Jalan, Purushottam Kar

SlateQ: A Tractable Decomposition for Reinforcement Learning with Recommendation Sets

Eugene Ie, Vihan Jain, Jing Wang, Sanmit Narvekar, Ritesh Agarwal

Efficient Protocol for Collaborative Dictionary Learning in Decentralized Networks

Tsuyoshi Ide, Rudy Raymond, Dzung T. Phan

Entangled Kernels

Riikka Huusari, Hachem Kadri

Conditions on Features for Temporal Difference-Like Methods to Converge

Marcus Hutter, Samuel Yang-Zhao, Sultan Javed Majeed

Multi-view Spectral Clustering Network

Zhenyu Huang, Joey Tianyi Zhou, Xi Peng, Changqing Zhang, Hongyuan Zhu

Nostalgic Adam: Weighting More of the Past Gradients When Designing the Adaptive Learning Rate

Haiwen Huang, Chang Wang, Bin Dong

Zeroth-Order Stochastic Alternating Direction Method of Multipliers for Nonconvex Nonsmooth Optimization

Feihu Huang, Shangqian Gao, Songcan Chen, Heng Huang

Privacy-aware Synthesizing for Crowdsourced Data

Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang

Deep Metric Learning: The Generalization Analysis and an Adaptive Algorithm

Mengdi Huai, Hongfei Xue, Chenglin Miao, Liuyi Yao, Lu Su

Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit

Yi-Qi Hu, Yang Yu, Jun-Da Liao

Hybrid Item-Item Recommendation via Semi-Parametric Embedding

Peng Hu, Rong Du, Yao Hu, Nan Li

Robust Learning from Noisy Side-information by Semidefinite Programming

En-Liang Hu, Quanming Yao

Group-based Learning of Disentangled Representations with Generalizability for Novel Contents

Haruo Hosoya

Learning Topic Models by Neighborhood Aggregation

Ryohei Hisano

Online Learning from Capricious Data Streams: A Generative Approach

Yi He, Baijun Wu, Di Wu, Ege Beyazit, Sheng Chen

Deliberation Learning for Image-to-Image Translation

Tianyu He, Yingce Xia, Jianxin Lin, Xu Tan, Di He

One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks

Tao He, Yuan-Fang Li, Lianli Gao, Dongxiang Zhang, Jingkuan Song

Deep Active Learning with Adaptive Acquisition

Manuel Haussmann, Fred Hamprecht, Melih Kandemir

Network Embedding under Partial Monitoring for Evolving Networks

Yu Han, Jie Tang, Qian Chen

Attribute Aware Pooling for Pedestrian Attribute Recognition

Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing XU

Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes

Jiyeon Han, Kyowoon Lee, Anh Tong, Jaesik Choi

MineRL: A Large-Scale Dataset of Minecraft Demonstrations

William H. Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden Codel

Landmark Selection for Zero-shot Learning

Yuchen Guo, guiguang ding, Jungong Han, Chenggang Yan, Jiyong Zhang

Zero-shot Learning with Many Classes by High-rank Deep Embedding Networks

Yuchen Guo, guiguang ding, Jungong Han, Hang Shao, Xin Lou

AdaLinUCB: Opportunistic Learning for Contextual Bandits

Xueying Guo, Xiaoxiao Wang, Xin Liu

Affine Equivariant Autoencoder

Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin

Discriminative Sample Generation for Deep Imbalanced Learning

Ting Guo, Xingquan Zhu, Yang Wang, Fang Chen

SPINE: Structural Identity Preserved Inductive Network Embedding

Junliang Guo, Linli Xu, Jingchang Liu

Sketched Iterative Algorithms for Structured Generalized Linear Models

Qilong Gu, Arindam Banerjee

Using Natural Language for Reward Shaping in Reinforcement Learning

Prasoon Goyal, Scott Niekum, Raymond J. Mooney

Efficient Regularization Parameter Selection for Latent Variable Graphical Models via Bi-Level Optimization

Joachim Giesen, Frank Nussbaum, Christopher Schneider

Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes

Mahsa Ghasemi, Ufuk Topcu

Scalable Semi-Supervised SVM via Triply Stochastic Gradients

Xiang Geng, Bin Gu, Xiang Li, Wanli Shi, Guansheng Zheng

Fully Distributed Bayesian Optimization with Stochastic Policies

Javier Garcia-Barcos, Ruben Martinez-Cantin

Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation

Yang Gao, Christian M. Meyer, Mohsen Mesgar, Iryna Gurevych

RecoNet: An Interpretable Neural Architecture for Recommender Systems

Francesco Fusco, Michalis Vlachos, Vasileios Vasileiadis, Kathrin Wardatzky, Johannes Schneider

Automatic Successive Reinforcement Learning with Multiple Auxiliary Rewards

Zhao-Yang Fu, De-Chuan Zhan, Xin-Chun Li, Yi-Xing Lu

Deep Multi-Agent Reinforcement Learning with Discrete-Continuous Hybrid Action Spaces

Haotian Fu, Hongyao Tang, Jianye Hao, Zihan Lei, Yingfeng Chen

Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing

Chaoyou Fu, Liangchen Song, Xiang Wu, Guoli Wang, Ran He

Advocacy Learning: Learning through Competition and Class-Conditional Representations

Ian Fox, Jenna Wiens

Curriculum Learning for Cumulative Return Maximization

Francesco Foglino, Christiano Coletto Christakou, Ricardo Luna Gutierrez, Matteo Leonetti

Deep Session Interest Network for Click-Through Rate Prediction

Yufei Feng, Fuyu Lv, Weichen Shen, Menghan Wang, Fei Sun

Partial Label Learning by Semantic Difference Maximization

Lei Feng, Bo An

GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction

Shen Fang, Qi Zhang, GAOFENG MENG, SHIMING XIANG, Chunhong Pan

Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space

Zhou Fan, Rui Su, Weinan Zhang, Yong Yu

iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow

Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye

Mindful Active Learning

Zhila Esna Ashari, Hassan Ghasemzadeh

Fast Algorithm for K-Truss Discovery on Public-Private Graphs

Soroush Ebadian, Xin Huang

Joint Link Prediction and Network Alignment via Cross-graph Embedding

Xingbo Du, Junchi Yan, Hongyuan Zha

Crafting Efficient Neural Graph of Large Entropy

Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu

Group Reconstruction and Max-Pooling Residual Capsule Network

Xinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang

Reinforced Negative Sampling for Recommendation with Exposure Data

Jingtao Ding, Yuhan Quan, Xiangnan He, Yong Li, Depeng Jin

Marginal Posterior Sampling for Slate Bandits

Maria Dimakopoulou, Nikos Vlassis, Tony Jebara

IRC-GAN: Introspective Recurrent Convolutional GAN for Text-to-video Generation

Kangle Deng, Tianyi Fei, Xin Huang, Yuxin Peng

Learn Smart with Less: Building Better Online Decision Trees with Fewer Training Examples

Ariyam Das, Jin Wang, Sahil M. Gandhi, Jae Lee, Wei Wang

Three-Player Wasserstein GAN via Amortised Duality

Nhan Dam, Quan Hoang, Trung Le, Tu Dinh Nguyen, Hung Bui

Recommending Links to Maximize the Influence in Social Networks

Federico Corò, Gianlorenzo D'Angelo, Yllka Velaj

Extrapolating Paths with Graph Neural Networks

Jean-Baptiste Cordonnier, Andreas Loukas

A Strongly Asymptotically Optimal Agent in General Environments

Michael K. Cohen, Elliot Catt, Marcus Hutter

Ornstein Auto-Encoders

Youngwon Choi, Joong-Ho Won

Approximate Optimal Transport for Continuous Densities with Copulas

Jinjin Chi, Jihong Ouyang, Ximing Li, Yang Wang, Meng Wang

Success Prediction on Crowdfunding with Multimodal Deep Learning

Chaoran Cheng, Fei Tan, Xiurui Hou, Zhi Wei

Deep Active Learning for Anchor User Prediction

Anfeng Cheng, Chuan Zhou, Hong Yang, Jia Wu, Lei Li

Variational Graph Embedding and Clustering with Laplacian Eigenmaps

Zitai Chen, Chuan Chen, Zong Zhang, Zibin Zheng, Qingsong Zou

Co-Attentive Multi-Task Learning for Explainable Recommendation

Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu

A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning

Zefeng Chen, Yuren Zhou, Xiao-yu He, Siyu Jiang

ActiveHNE: Active Heterogeneous Network Embedding

Xia Chen, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Zhao Li

Semi-supervised User Profiling with Heterogeneous Graph Attention Networks

Weijian Chen, Yulong Gu, Zhaochun Ren, Xiangnan He, Hongtao Xie

Extensible Cross-Modal Hashing

Tian-yi Chen, Lan Zhang, Shi-cong Zhang, Zi-long Li, Bai-chuan Huang

Cooperative Pruning in Cross-Domain Deep Neural Network Compression

Shangyu Chen, Wenya Wang, Sinno Jialin Pan

Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network

Liang Chen, Yang Liu, Xiangnan He, Lianli Gao, Zibin Zheng

Learning Semantic Annotations for Tabular Data

Jiaoyan Chen, Ernesto Jiménez-Ruiz, Ian Horrocks, Charles Sutton

Theoretical Investigation of Generalization Bound for Residual Networks

Hao Chen, Zhanfeng Mo, Zhouwang Yang, Xiao Wang

FakeTables: Using GANs to Generate Functional Dependency Preserving Tables with Bounded Real Data

Haipeng Chen, Sushil Jajodia, Jing Liu, Noseong Park, Vadim Sokolov

Tree Sampling Divergence: An Information-Theoretic Metric for Hierarchical Graph Clustering

Bertrand Charpentier, Thomas Bonald

Learning Disentangled Semantic Representation for Domain Adaptation

Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang

Multi-View Active Learning for Video Recommendation

Jia-Jia Cai, Jun Tang, Qing-Guo Chen, Yao Hu, Xiaobo Wang

Active Learning within Constrained Environments through Imitation of an Expert Questioner

Kalesha Bullard, Yannick Schroecker, Sonia Chernova

Matrix Completion in the Unit Hypercube via Structured Matrix Factorization

Emanuele Bugliarello, Swayambhoo Jain, Vineeth Rakesh

A Gradient-Based Split Criterion for Highly Accurate and Transparent Model Trees

Klaus Broelemann, Gjergji Kasneci

Incremental Elicitation of Rank-Dependent Aggregation Functions based on Bayesian Linear Regression

Nadjet Bourdache, Patrice Perny, Olivier Spanjaard

Optimal Exploitation of Clustering and History Information in Multi-armed Bandit

Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz, Martin Wistuba

Motion Invariance in Visual Environments

Alessandro Betti, Marco Gori, Stefano Melacci

An Actor-Critic-Attention Mechanism for Deep Reinforcement Learning in Multi-view Environments

Elaheh Barati, Xuewen Chen

Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis

Yogesh Balaji, Martin Renqiang Min, Bing Bai, Rama Chellappa, Hans Peter Graf

Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity

Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu

STG2Seq: Spatial-Temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

LEI BAI, Lina Yao, Salil S. Kanhere, Xianzhi Wang, Quan Z. Sheng

Unobserved Is Not Equal to Non-existent: Using Gaussian Processes to Infer Immediate Rewards Across Contexts

Hamoon Azizsoltani, Yeo Jin Kim, Markel Sanz Ausin, Tiffany Barnes, Min Chi

Inter-node Hellinger Distance based Decision Tree

Pritom Saha Akash, Md. Eusha Kadir, Amin Ahsan Ali, Mohammad Shoyaib

Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets

Homayun Afrabandpey, Tomi Peltola, Samuel Kaski

The Expected-Length Model of Options

David Abel, John Winder, Marie desJardins, Michael Littman

Neighborhood-Aware Attentional Representation for Multilingual Knowledge Graphs

Qiannan Zhu, Xiaofei Zhou, Jia Wu, Jianlong Tan, Li Guo

TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics

Shihui Yang, Jidong Tian, Honglun Zhang, Junchi Yan, Hao He

Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning

Bingbing Xu, Huawei Shen, Qi Cao, Keting Cen, Xueqi Cheng

Boosting Causal Embeddings via Potential Verb-Mediated Causal Patterns

Zhipeng Xie, Feiteng Mu

Profit-driven Task Assignment in Spatial Crowdsourcing

Jinfu Xia, Yan Zhao, Guanfeng Liu, Jiajie Xu, Min Zhang