IJCAI 2020

778 papers

MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing

Rong-Cheng Tu, Xian-Ling Mao, Wei Wei

Why We Go Where We Go: Profiling User Decisions on Choosing POIs

Renjun Hu, Xinjiang Lu, Chuanren Liu, Yanyan Li, Hao Liu

Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network

Huiyuan Chen, Jing Li

FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

Run Wang, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yihao Huang

Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising

Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang

A Two-Stage Matheuristic Algorithm for Classical Inventory Routing Problem

Zhouxing Su, Shihao Huang, Chungen Li, Zhipeng Lü

Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems

Seyed Iman Mirzadeh, Hassan Ghasemzadeh

Exploiting Mutual Information for Substructure-aware Graph Representation Learning

Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li

Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding

Ke Wang, Xuyan Chen, Ning Chen, Ting Chen

Towards Alleviating Traffic Congestion: Optimal Route Planning for Massive-Scale Trips

Ke Li, Lisi Chen, Shuo Shang

The Graph-based Mutual Attentive Network for Automatic Diagnosis

Quan Yuan, Jun Chen, Chao Lu, Haifeng Huang

HID: Hierarchical Multiscale Representation Learning for Information Diffusion

Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang

CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning

Yuanrui Dong, Peng Zhao, Hanqiao Yu, Cong Zhao, Shusen Yang

Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning

Ruimin Shen, YAN ZHENG, Jianye Hao, Zhaopeng Meng, Yingfeng Chen

C3MM: Clique-Closure based Hyperlink Prediction

Govind Sharma, Prasanna Patil, M. Narasimha Murty

Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players

Yudong Luo, Oliver Schulte, Pascal Poupart

Semi-Markov Reinforcement Learning for Stochastic Resource Collection

Sebastian Schmoll, Matthias Schubert

Predicting Landslides Using Locally Aligned Convolutional Neural Networks

Ainaz Hajimoradlou, Gioachino Roberti, David Poole

A Label Attention Model for ICD Coding from Clinical Text

Thanh Vu, Dat Quoc Nguyen, Anthony Nguyen

Binary Classification from Positive Data with Skewed Confidence

Kazuhiko Shinoda, Hirotaka Kaji, Masashi Sugiyama

Adversarial Mutual Information Learning for Network Embedding

Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang

DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling

Penghao Sun, Zehua Guo, Junchao Wang, Junfei Li, Julong Lan

Inferring Degrees from Incomplete Networks and Nonlinear Dynamics

Chunheng Jiang, Jianxi Gao, Malik Magdon-Ismail

Neighbor Combinatorial Attention for Critical Structure Mining

Tanli Zuo, Yukun Qiu, Wei-Shi Zheng

Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation

Danbing Zou, Qikui Zhu, Pingkun Yan

Smart Contract Vulnerability Detection using Graph Neural Network

Yuan Zhuang, Zhenguang Liu, Peng Qian, Qi Liu, Xiang Wang

Tight Convergence Rate of Gradient Descent for Eigenvalue Computation

Qinghua Ding, Kaiwen Zhou, James Cheng

Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks

Jinghui Chen, Dongruo Zhou, Yiqi Tang, Ziyan Yang, Yuan Cao

pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization

Beitong Zhou, Jun Liu, Weigao Sun, Ruijuan Chen, Claire Tomlin

Multi-Scale Group Transformer for Long Sequence Modeling in Speech Separation

Yucheng Zhao, Chong Luo, Zheng-Jun Zha, Wenjun Zeng

EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services

Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy

P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection

Zhiwei Zhang, Shifeng Chen, Lei Sun

CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network

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

Label Enhancement for Label Distribution Learning via Prior Knowledge

Yongbiao Gao, Yu Zhang, Xin Geng

Discovering Subsequence Patterns for Next POI Recommendation

Kangzhi Zhao, Yong Zhang, Hongzhi Yin, Jin Wang, Kai Zheng

Hanyuan Zhang, Xinyu Zhang, Qize Jiang, Baihua Zheng, Zhenbang Sun

Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification

Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han

Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution

Qiulin Zhang, Zhuqing Jiang, Qishuo Lu, Jia'nan Han, Zhengxin Zeng

One-Shot Neural Architecture Search via Novelty Driven Sampling

Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven Su

Self-adaptive Re-weighted Adversarial Domain Adaptation

Shanshan Wang, Lei Zhang

BERT-INT:A BERT-based Interaction Model For Knowledge Graph Alignment

Xiaobin Tang, Jing Zhang, Bo Chen, Yang Yang, Hong Chen

Generating Robust Audio Adversarial Examples with Temporal Dependency

Hongting Zhang, Pan Zhou, Qiben Yan, Xiao-Yang Liu

Semi-supervised Clustering via Pairwise Constrained Optimal Graph

Feiping Nie, Han Zhang, Rong Wang, Xuelong Li

Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning

Hui Xu, Chong Zhang, Jiaxing Wang, Deqiang Ouyang, Yu Zheng

Dual Policy Distillation

Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu

A Dual Input-aware Factorization Machine for CTR Prediction

Wantong Lu, Yantao Yu, Yongzhe Chang, Zhen Wang, Chenhui Li

I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning

Rundong Wang, Runsheng Yu, Bo An, Zinovi Rabinovich

Weakly-Supervised Multi-view Multi-instance Multi-label Learning

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

Gradient Perturbation is Underrated for Differentially Private Convex Optimization

Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-yan Liu

MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics

Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya

Greedy Convex Ensemble

Thanh Tan Nguyen, Nan Ye, Peter Bartlett

Efficient Deep Reinforcement Learning via Adaptive Policy Transfer

Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu

Multi-Feedback Bandit Learning with Probabilistic Contexts

Luting Yang, Jianyi Yang, Shaolei Ren

On Metric DBSCAN with Low Doubling Dimension

Hu Ding, Fan Yang, Mingyue Wang

BaKer-Nets: Bayesian Random Kernel Mapping Networks

hui xue, Zheng-Fan Wu

MergeNAS: Merge Operations into One for Differentiable Architecture Search

Xiaoxing Wang, Chao Xue, Junchi Yan, Xiaokang Yang, Yonggang Hu

Discovering Latent Class Labels for Multi-Label Learning

Jun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi

Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent

Bowen Weng, Huaqing Xiong, Yingbin Liang, Wei Zhang

Bayesian Optimization using Pseudo-Points

Chao Qian, Hang Xiong, Ke Xue

Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations

Peixi Peng, Junliang Xing, Lili Cao

RDF-to-Text Generation with Graph-augmented Structural Neural Encoders

Hanning Gao, Lingfei Wu, Po Hu, Fangli Xu

User Modeling with Click Preference and Reading Satisfaction for News Recommendation

Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang

Evaluating and Aggregating Feature-based Model Explanations

Umang Bhatt, Adrian Weller, José M. F. Moura

Discriminative Feature Selection via A Structured Sparse Subspace Learning Module

Zheng Wang, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li

A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation

Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng

Towards Explainable Conversational Recommendation

Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni

TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure

Fuxiang Zhang, Xin Wang, Zhao Li, Jianxin Li

Classification with Rejection: Scaling Generative Classifiers with Supervised Deep Infomax

Xin Wang, Siu Ming Yiu

Multi-View Attribute Graph Convolution Networks for Clustering

Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, Deyan Xie, Quanxue Gao

Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables

Jiaqi Zhang, Meng Wang, Qinchi Li, Sen Wang, Xiaojun Chang

Asymmetric Distribution Measure for Few-shot Learning

Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao

Unsupervised Representation Learning by Predicting Random Distances

Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma

Learning From Multi-Dimensional Partial Labels

Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen

Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs

Bo Xue, Guanghui Wang, Yimu Wang, Lijun Zhang

Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets

Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao

Reducing Underflow in Mixed Precision Training by Gradient Scaling

Ruizhe Zhao, Brian Vogel, Tanvir Ahmed, Wayne Luk

Class Prior Estimation in Active Positive and Unlabeled Learning

Lorenzo Perini, Vincent Vercruyssen, Jesse Davis

Crowdsourcing with Multiple-Source Knowledge Transfer

Guangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi

Independent Skill Transfer for Deep Reinforcement Learning

Qiangxing Tian, Guanchu Wang, Jinxin Liu, Donglin Wang, Yachen Kang

Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling

Daniel Stoller, Mi Tian, Sebastian Ewert, Simon Dixon

Learning in the Wild with Incremental Skeptical Gaussian Processes

Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini

Multi-Class Imbalanced Graph Convolutional Network Learning

Min Shi, Yufei Tang, Xingquan Zhu, David Wilson, Jianxun Liu

Adaptively Multi-Objective Adversarial Training for Dialogue Generation

Xuemiao Zhang, Zhouxing Tan, Xiaoning Zhang, Yang Cao, Rui Yan

Constrained Policy Improvement for Efficient Reinforcement Learning

Elad Sarafian, Aviv Tamar, Sarit Kraus

DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization

Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Hiroki Arimura

Reinforcement Learning Framework for Deep Brain Stimulation Study

Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov

Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error

Taiji Suzuki, Hiroshi Abe, Tomoya Murata, Shingo Horiuchi, Kotaro Ito

Communicative Representation Learning on Attributed Molecular Graphs

Ying Song, Shuangjia Zheng, Zhangming Niu, Zhang-Hua Fu, Yutong Lu

BRPO: Batch Residual Policy Optimization

Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee

Reward Prediction Error as an Exploration Objective in Deep RL

Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell

Mutual Information Estimation using LSH Sampling

Ryan Spring, Anshumali Shrivastava

Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network

Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu

Is the Skip Connection Provable to Reform the Neural Network Loss Landscape?

Lifu Wang, Bo Shen, Ning Zhao, Zhiyuan Zhang

Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution

Sankalp Garg, Navodita Sharma, Woojeong Jin, Xiang Ren

Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications

Shujian Yu, Ammar Shaker, Francesco Alesiani, Jose Principe

General Purpose MRF Learning with Neural Network Potentials

Hao Xiong, Nicholas Ruozzi

Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery

Zhao Zhang, Jiahuan Ren, Zheng Zhang, Guangcan Liu

Inference-Masked Loss for Deep Structured Output Learning

Quan Guo, Hossein Rajaby Faghihi, Yue Zhang, Andrzej Uszok, Parisa Kordjamshidi

Toward a neuro-inspired creative decoder

Payel Das, Brian Quanz, Pin-Yu Chen, Jae-Wook Ahn, Dhruv Shah

KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction

Xuan Lin, Zhe Quan, Zhi-Jie Wang, Tengfei Ma, Xiangxiang Zeng