IJCAI 2019

964 papers

Discovering Regularities from Traditional Chinese Medicine Prescriptions via Bipartite Embedding Model

Chunyang Ruan, Jiangang Ma, Ye Wang, Yanchun Zhang, Yun Yang

Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay

Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly

Closed-Loop Memory GAN for Continual Learning

Amanda Rios, Laurent Itti

Label Distribution Learning with Label Correlations via Low-Rank Approximation

Tingting Ren, Xiuyi Jia, Weiwei Li, Shu Zhao

Label distribution learning with label-specific features

Tingting Ren, Xiuyi Jia, Weiwei Li, Lei Chen, Zechao Li

Unifying the Stochastic and the Adversarial Bandits with Knapsack

Anshuka Rangi, Massimo Franceschetti, Long Tran-Thanh

Successor Options: An Option Discovery Framework for Reinforcement Learning

Rahul Ramesh, Manan Tomar, Balaraman Ravindran

Automated Machine Learning with Monte-Carlo Tree Search

Herilalaina Rakotoarison, Marc Schoenauer, Michele Sebag

Fairwalk: Towards Fair Graph Embedding

Tahleen Rahman, Bartlomiej Surma, Michael Backes, Yang Zhang

Noise-Resilient Similarity Preserving Network Embedding for Social Networks

Zhenyu Qiu, Wenbin Hu, Jia Wu, ZhongZheng Tang, Xiaohua Jia

Scalable Bayesian Non-linear Matrix Completion

Xiangju Qin, Paul Blomstedt, Samuel Kaski

Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations

Sheng Qian, Guanyue Li, Wen-Ming Cao, Cheng Liu, Si Wu

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents

Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro

Graph Space Embedding

João Pereira, Albert K. Groen, Erik S. G. Stroes, Evgeni Levin

A Practical Semi-Parametric Contextual Bandit

Yi Peng, Miao Xie, Jiahao Liu, Xuying Meng, Nan Li

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks

Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxin Ning

Improving Cross-lingual Entity Alignment via Optimal Transport

Shichao Pei, Lu Yu, Xiangliang Zhang

Exploiting Interaction Links for Node Classification with Deep Graph Neural Networks

Hogun Park, Jennifer Neville

Indirect Trust is Simple to Establish

Elham Parhizkar, Mohammad Hossein Nikravan, Sandra Zilles

Hill Climbing on Value Estimates for Search-control in Dyna

Yangchen Pan, Hengshuai Yao, Amir-massoud Farahmand, Martha White

Group LASSO with Asymmetric Structure Estimation for Multi-Task Learning

Saullo H. G. Oliveira, Andre R. Goncalves, Fernando J. Von Zuben

Incremental Learning of Planning Actions in Model-Based Reinforcement Learning

Jun Hao Alvin Ng, Ronald P. A. Petrick

Outlier-Robust Multi-Aspect Streaming Tensor Completion and Factorization

Mehrnaz Najafi, Lifang He, Philip S. Yu

DyAt Nets: Dynamic Attention Networks for State Forecasting in Cyber-Physical Systems

Nikhil Muralidhar, Sathappan Muthiah, Naren Ramakrishnan

Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control

Jeremy Morton, Freddie D. Witherden, Mykel J. Kochenderfer

Advantage Amplification in Slowly Evolving Latent-State Environments

Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier

Robust Flexible Feature Selection via Exclusive L21 Regularization

Di Ming, Chris Ding

Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems

Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings

Unsupervised Hierarchical Temporal Abstraction by Simultaneously Learning Expectations and Representations

Katherine Metcalf, David Leake

Anytime Bottom-Up Rule Learning for Knowledge Graph Completion

Christian Meilicke, Melisachew Wudage Chekol, Daniel Ruffinelli, Heiner Stuckenschmidt

On Principled Entropy Exploration in Policy Optimization

Jincheng Mei, Chenjun Xiao, Ruitong Huang, Dale Schuurmans, Martin Müller

Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation

Yuqing Ma, Xianglong Liu, Shihao Bai, Lei Wang, Dailan He

Monte Carlo Tree Search for Policy Optimization

Xiaobai Ma, Katherine Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer

AttnSense: Multi-level Attention Mechanism For Multimodal Human Activity Recognition

HaoJie Ma, Wenzhong Li, Xiao Zhang, Songcheng Gao, Sanglu Lu

Weakly Supervised Multi-Label Learning via Label Enhancement

Jiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng

E²GAN: End-to-End Generative Adversarial Network for Multivariate Time Series Imputation

Yonghong Luo, Ying Zhang, Xiangrui Cai, Xiaojie Yuan

Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning

Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao

Multi-Objective Generalized Linear Bandits

Shiyin Lu, Guanghui Wang, Yao Hu, Lijun Zhang

Parametric Manifold Learning of Gaussian Mixture Models

Ziquan Liu, Lei Yu, Janet H. Hsiao, Antoni B. Chan

Learning Low-precision Neural Networks without Straight-Through Estimator (STE)

Zhi-Gang Liu, Matthew Mattina

Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network

Zheng Liu, Yu Xing, Fangzhao Wu, Mingxiao An, Xing Xie

Omnidirectional Scene Text Detection with Sequential-free Box Discretization

Yuliang Liu, Sheng Zhang, LianWen Jin, Lele Xie, Yaqiang Wu

Accelerated Incremental Gradient Descent using Momentum Acceleration with Scaling Factor

Yuanyuan Liu, Fanhua Shang, Licheng Jiao

Graph and Autoencoder Based Feature Extraction for Zero-shot Learning

Yang Liu, Deyan Xie, Quanxue Gao, Jungong Han, Shujian Wang

Supervised Short-Length Hashing

Xingbo Liu, Xiushan Nie, Quan Zhou, Xiaoming Xi, LEI ZHU

Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies

Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao

Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph

LU LIU, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao

Learning Robust Distance Metric with Side Information via Ratio Minimization of Orthogonally Constrained L21-Norm Distances

Kai Liu, Lodewijk Brand, Hua Wang, Feiping Nie

Learning Instance-wise Sparsity for Accelerating Deep Models

Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing XU, Chang Xu

Feature Prioritization and Regularization Improve Standard Accuracy and Adversarial Robustness

Chihuang Liu, Joseph JaJa

Balanced Clustering: A Uniform Model and Fast Algorithm

Weibo Lin, Zhu He, Mingyu Xiao

Image-to-Image Translation with Multi-Path Consistency Regularization

Jianxin Lin, Yingce Xia, Yijun Wang, Tao Qin, Zhibo Chen

Worst-Case Discriminative Feature Selection

Shuangli Liao, Quanxue Gao, Feiping Nie, Yang Liu, Xiangdong Zhang

Learning K-way D-dimensional Discrete Embedding for Hierarchical Data Visualization and Retrieval

Xiaoyuan Liang, Martin Renqiang Min, Hongyu Guo, Guiling Wang

GCN-LASE: Towards Adequately Incorporating Link Attributes in Graph Convolutional Networks

Ziyao Li, Liang Zhang, Guojie Song

Deep Adversarial Multi-view Clustering Network

Zhaoyang Li, Qianqian Wang, Zhiqiang Tao, Quanxue Gao, Zhaohua Yang

ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network

Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas Li

Learning Network Embedding with Community Structural Information

Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang, Yi Chang

Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest

Xiaosheng Li, Jessica Lin, Liang Zhao

Improved Algorithm on Online Clustering of Bandits

Shuai Li, Wei Chen, Kwong-sak Leung

Flexible Multi-View Representation Learning for Subspace Clustering

Ruihuang Li, Changqing Zhang, Qinghua Hu, Pengfei Zhu, Zheng Wang

Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss

Pengcheng Li, Jinfeng Yi, Bowen Zhou, Lijun Zhang

Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting

Longyuan Li, Junchi Yan, Xiaokang Yang, Yaohui Jin

Dense Transformer Networks for Brain Electron Microscopy Image Segmentation

Jun Li, Yongjun Chen, Lei Cai, Ian Davidson, Shuiwang Ji

Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis

Jian Li, Yong Liu, Rong Yin, Weiping Wang

Multi-Class Learning using Unlabeled Samples: Theory and Algorithm

Jian Li, Yong Liu, Rong Yin, Weiping Wang

Hierarchical Representation Learning for Bipartite Graphs

Chong Li, Kunyang Jia, Dan Shen, C.J. Richard Shi, Hongxia Yang

A Review-Driven Neural Model for Sequential Recommendation

Chenliang Li, Xichuan Niu, Xiangyang Luo, Zhenzhong Chen, Cong Quan

Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model

Chang Li, Maarten de Rijke

Differentially Private Optimal Transport: Application to Domain Adaptation

Nam LeTien, Amaury Habrard, Marc Sebban

Qi Lei, Jinfeng Yi, Roman Vaculin, Lingfei Wu, Inderjit S. Dhillon

Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks

Seungwon Lee, James Stokes, Eric Eaton

Action Space Learning for Heterogeneous User Behavior Prediction

Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu

Learning Generative Adversarial Networks from Multiple Data Sources

Trung Le, Quan Hoang, Hung Vu, Tu Dinh Nguyen, Hung Bui

Learning Multiple Maps from Conditional Ordinal Triplets

Dung D. Le, Hady W. Lauw

Correlation-Sensitive Next-Basket Recommendation

Duc-Trong Le, Hady W. Lauw, Yuan Fang

The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations

Thibault Laugel, Marie-jeanne Lesot, Christophe Marsala, Xavier Renard, Marcin Detyniecki

Meta Reinforcement Learning with Task Embedding and Shared Policy

Lin Lan, Zhenguo Li, Xiaohong Guan, Pinghui Wang

Perturbed-History Exploration in Stochastic Multi-Armed Bandits

Branislav Kveton, Csaba Szepesvári, Mohammad Ghavamzadeh, Craig Boutilier

Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models

Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy

Learning Sound Events from Webly Labeled Data

Anurag Kumar, Ankit Shah, Alexander Hauptmann, Bhiksha Raj

Adaptive Ensemble Active Learning for Drifting Data Stream Mining

Bartosz Krawczyk, Alberto Cano

Autoregressive Policies for Continuous Control Deep Reinforcement Learning

Dmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan, James Bergstra

Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks

Qiuqiang Kong, Yong Xu, Philip J. B. Jackson, Wenwu Wang, Mark D. Plumbley

Sequential and Diverse Recommendation with Long Tail

Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu

DeepMellow: Removing the Need for a Target Network in Deep Q-Learning

Seungchan Kim, Kavosh Asadi, Michael Littman, George Konidaris

Outlier Detection for Time Series with Recurrent Autoencoder Ensembles

Tung Kieu, Bin Yang, Chenjuan Guo, Christian S. Jensen

What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features

Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck

Twin-Systems to Explain Artificial Neural Networks using Case-Based Reasoning: Comparative Tests of Feature-Weighting Methods in ANN-CBR Twins for XAI

Eoin M. Kenny, Mark T. Keane

Multiple Partitions Aligned Clustering

Zhao Kang, Zipeng Guo, Shudong Huang, Siying Wang, Wenyu Chen

Interactive Teaching Algorithms for Inverse Reinforcement Learning

Parameswaran Kamalaruban, Rati Devidze, Volkan Cevher, Adish Singla

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning

Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges, Jonathan Harper, Ervin Teng

Submodular Batch Selection for Training Deep Neural Networks

K J Joseph, Vamshi Teja R, Krishnakant Singh, Vineeth N Balasubramanian

Hypergraph Induced Convolutional Manifold Networks

Taisong Jin, Liujuan Cao, Baochang Zhang, Xiaoshuai Sun, Cheng Deng

Network-Specific Variational Auto-Encoder for Embedding in Attribute Networks

Di Jin, Bingyi Li, Pengfei Jiao, Dongxiao He, Weixiong Zhang

CensNet: Convolution with Edge-Node Switching in Graph Neural Networks

Xiaodong Jiang, Pengsheng Ji, Sheng Li

Robust Low-Tubal-Rank Tensor Completion via Convex Optimization

Qiang Jiang, Michael Ng

Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty

Junyang Jiang, Deqing Yang, Yanghua Xiao, Chenlu Shen

Dynamic Hypergraph Neural Networks

Jianwen Jiang, Yuxuan Wei, Yifan Feng, Jingxuan Cao, Yue Gao

Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring

Xiaowei Jia, Mengdie Wang, Ankush Khandelwal, Anuj Karpatne, Vipin Kumar