Agent-based and Multi-agent Systems
An Algorithm for Multi-Attribute Diverse Matching
Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark Fuge, Samir Khuller
Intention Progression under Uncertainty
Yuan Yao, Natasha Alechina, Brian Logan, John Thangarajah
Social Ranking Manipulability for the CP-Majority, Banzhaf and Lexicographic Excellence Solutions
Tahar Allouche, Bruno Escoffier, Stefano Moretti, Meltem Öztürk
Maximum Nash Welfare and Other Stories About EFX
Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros Hollender, Alexandros A. Voudouris
Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local Utilities
Yanchen Deng, Bo An
Almost Group Envy-free Allocation of Indivisible Goods and Chores
Haris Aziz, Simon Rey
Uniform Welfare Guarantees Under Identical Subadditive Valuations
Siddharth Barman, Ranjani G. Sundaram
Biased Opinion Dynamics: When the Devil is in the Details
Aris Anagnostopoulos, Luca Becchetti, Emilio Cruciani, Francesco Pasquale, Sara Rizzo
Formalizing Group and Propagated Trust in Multi-Agent Systems
Nagat Drawel, Jamal Bentahar, Amine Laarej, Gaith Rjoub
Fine-Grained View on Bribery for Group Identification
Niclas Boehmer, Robert Bredereck, Dušan Knop, Junjie Luo
Evaluating Approval-Based Multiwinner Voting in Terms of Robustness to Noise
Ioannis Caragiannis, Christos Kaklamanis, Nikos Karanikolas, George A. Krimpas
Decentralized MCTS via Learned Teammate Models
Aleksander Czechowski, Frans A. Oliehoek
On the Complexity of Winner Verification and Candidate Winner for Multiwinner Voting Rules
Chinmay Sonar, Palash Dey, Neeldhara Misra
Stable Roommate Problem with Diversity Preferences
Niclas Boehmer, Edith Elkind
Strategic Campaign Management in Apportionment Elections
Robert Bredereck, Piotr Faliszewski, Michal Furdyna, Andrzej Kaczmarczyk, Martin Lackner
Concentration of Distortion: The Value of Extra Voters in Randomized Social Choice
Brandon Fain, William Fan, Kamesh Munagala
Assume-Guarantee Synthesis for Prompt Linear Temporal Logic
Nathanaël Fijalkow, Bastien Maubert, Aniello Murano, Moshe Vardi
Peer-Prediction in the Presence of Outcome Dependent Lying Incentives
Naman Goel, Aris Filos-Ratsikas, Boi Faltings
Proportionality in Approval-Based Elections With a Variable Number of Winners
Rupert Freeman, Anson Kahng, David M. Pennock
Flow-Based Network Creation Games
Hagen Echzell, Tobias Friedrich, Pascal Lenzner, Anna Melnichenko
Stable Matchings with Diversity Constraints: Affirmative Action is beyond NP
Jiehua Chen, Robert Ganian, Thekla Hamm
Mechanism Design for School Choice with Soft Diversity Constraints
Haris Aziz, Serge Gaspers, Zhaohong Sun
Maximizing Welfare with Incentive-Aware Evaluation Mechanisms
Nika Haghtalab, Nicole Immorlica, Brendan Lucier, Jack Z. Wang
Ethics, Prosperity, and Society: Moral Evaluation Using Virtue Ethics and Utilitarianism
Aditya Hegde, Vibhav Agarwal, Shrisha Rao
Prophet Inequalities for Bayesian Persuasion
Niklas Hahn, Martin Hoefer, Rann Smorodinsky
Fair Division of Time: Multi-layered Cake Cutting
Hadi Hosseini, Ayumi Igarashi, Andrew Searns
Well-Structured Committees
Sushmita Gupta, Pallavi Jain, Saket Saurabh
Evaluating Committees for Representative Democracies: the Distortion and Beyond
Michał Jaworski, Piotr Skowron
The Complexity of Election Problems with Group-Separable Preferences
Piotr Faliszewski, Alexander Karpov, Svetlana Obraztsova
Logics of Allies and Enemies: A Formal Approach to the Dynamics of Social Balance Theory
Wiebe Van der Hoek, Louwe Kuijer, Yì Wáng
Synthesis of Deceptive Strategies in Reachability Games with Action Misperception
Abhishek N. Kulkarni, Jie Fu
Selecting Voting Locations for Fun and Profit
Zack Fitzsimmons, Omer Lev
Incentive-Compatible Diffusion Auctions
Bin Li, Dong Hao, Dengji Zhao
Strategyproof Mechanism for Two Heterogeneous Facilities with Constant Approximation Ratio
Minming Li, Pinyan Lu, Yuhao Yao, Jialin Zhang
Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium
Jakub Cerny, Viliam Lisý, Branislav Bošanský, Bo An
A Penny for Your Thoughts: The Value of Communication in Ad Hoc Teamwork
Reuth Mirsky, William Macke, Andy Wang, Harel Yedidsion, Peter Stone
Convexity of b-matching Games
Soh Kumabe, Takanori Maehara
Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs
Saaduddin Mahmud, Md. Mosaddek Khan, Moumita Choudhury, Long Tran-Thanh, Nicholas R. Jennings
Tight Approximation for Proportional Approval Voting
Szymon Dudycz, Pasin Manurangsi, Jan Marcinkowski, Krzysztof Sornat
Partial Adversarial Behavior Deception in Security Games
Thanh H. Nguyen, Arunesh Sinha, He He
Approximate Pareto Set for Fair and Efficient Allocation: Few Agent Types or Few Resource Types
Trung Thanh Nguyen, Jörg Rothe
A Deep Reinforcement Learning Approach to Concurrent Bilateral Negotiation
Pallavi Bagga, Nicola Paoletti, Bedour Alrayes, Kostas Stathis
Computational Aspects of Conditional Minisum Approval Voting in Elections with Interdependent Issues
Evangelos Markakis, Georgios Papasotiropoulos
Combining Direct Trust and Indirect Trust in Multi-Agent Systems
Elham Parhizkar, Mohammad Hossein Nikravan, Robert C. Holte, Sandra Zilles
Keeping Your Friends Close: Land Allocation with Friends
Edith Elkind, Neel Patel, Alan Tsang, Yair Zick
Verifying Fault-Tolerance in Probabilistic Swarm Systems
Alessio Lomuscio, Edoardo Pirovano
Efficient Algorithms for Learning Revenue-Maximizing Two-Part Tariffs
Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm
Model-Free Real-Time Autonomous Energy Management for a Residential Multi-Carrier Energy System: A Deep Reinforcement Learning Approach
Yujian Ye, Dawei Qiu, Jonathan Ward, Marcin Abram
Altruism in Coalition Formation Games
Anna Maria Kerkmann, Jörg Rothe
A Multi-Objective Approach to Mitigate Negative Side Effects
Sandhya Saisubramanian, Ece Kamar, Shlomo Zilberstein
The Competitive Effects of Variance-based Pricing
Ludwig Dierks, Sven Seuken
When to Follow the Tip: Security Games with Strategic Informants
Weiran Shen, Weizhe Chen, Taoan Huang, Rohit Singh, Fei Fang
Competition Among Contests: a Safety Level Analysis
Ron Lavi, Omer Shiran-Shvarzbard
Participatory Budgeting with Project Interactions
Pallavi Jain, Krzysztof Sornat, Nimrod Talmon
PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection
Nicholas Mattei, Paolo Turrini, Stanislav Zhydkov
Budgeted Facility Location Games with Strategic Facilities
Minming Li, Chenhao Wang, Mengqi Zhang
Monte-Carlo Tree Search for Scalable Coalition Formation
Feng Wu, Sarvapali D. Ramchurn
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning
Ying Wen, Yaodong Yang, Jun Wang
Sybil-proof Answer Querying Mechanism
Yao Zhang, Xiuzhen Zhang, Dengji Zhao
Computer Vision
Channel-Level Variable Quantization Network for Deep Image Compression
Zhisheng Zhong, Hiroaki Akutsu, Kiyoharu Aizawa
Disentangled Feature Learning Network for Vehicle Re-Identification
Yan Bai, Yihang Lou, Yongxing Dai, Jun Liu, Ziqian Chen, Ling-Yu Duan
EViLBERT: Learning Task-Agnostic Multimodal Sense Embeddings
Agostina Calabrese, Michele Bevilacqua, Roberto Navigli
Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos
Haimei Zhao, Wei Bian, Bo Yuan, Dacheng Tao
A 3D Convolutional Approach to Spectral Object Segmentation in Space and Time
Elena Burceanu, Marius Leordeanu
Reference Guided Face Component Editing
Qiyao Deng, Jie Cao, Yunfan Liu, Zhenhua Chai, Qi Li, Zhenan Sun
When Pedestrian Detection Meets Nighttime Surveillance: A New Benchmark
Xiao Wang, Jun Chen, Zheng Wang, Wu Liu, Shin'ichi Satoh, Chao Liang, Chia-Wen Lin
TextFuseNet: Scene Text Detection with Richer Fused Features
Jian Ye, Zhe Chen, Juhua Liu, Bo Du
SelectScale: Mining More Patterns from Images via Selective and Soft Dropout
Zhengsu Chen, Jianwei Niu, Xuefeng Liu, Shaojie Tang
GSM: Graph Similarity Model for Multi-Object Tracking
Qiankun Liu, Qi Chu, Bin Liu, Nenghai Yu
Deep Interleaved Network for Single Image Super-Resolution with Asymmetric Co-Attention
Feng Li, Runmin Cong, Huihui Bai, Yifan He
Meta Segmentation Network for Ultra-Resolution Medical Images
Tong Wu, Bicheng Dai, Shuxin Chen, Yanyun Qu, Yuan Xie
Lifelong Zero-Shot Learning
Kun Wei, Cheng Deng, Xu Yang
Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data
Haytham M. Fayek, Anurag Kumar
JPEG Artifacts Removal via Compression Quality Ranker-Guided Networks
Menglu Wang, Xueyang Fu, Zepei Sun, Zheng-Jun Zha
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation
Siddhartha Gairola, Mayur Hemani, Ayush Chopra, Balaji Krishnamurthy
Multi-graph Fusion for Functional Neuroimaging Biomarker Detection
Jiangzhang Gan, Xiaofeng Zhu, Rongyao Hu, Yonghua Zhu, Junbo Ma, Ziwen Peng, Guorong Wu
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation
Tao He, Lianli Gao, Jingkuan Song, Jianfei Cai, Yuan-Fang Li
Bottom-up and Top-down: Bidirectional Additive Net for Edge Detection
Lianli Gao, Zhilong Zhou, Heng Tao Shen, Jingkuan Song
SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor
Jiachen Xu, Jingyu Gong, Jie Zhou, Xin Tan, Yuan Xie, Lizhuang Ma
Characterizing Similarity of Visual Stimulus from Associated Neuronal Response
Vikram Ravindra, Ananth Grama
Spatiotemporal Super-Resolution with Cross-Task Consistency and Its Semi-supervised Extension
Han-Yi Lin, Pi-Cheng Hsiu, Tei-Wei Kuo, Yen-Yu Lin
Generating Person Images with Appearance-aware Pose Stylizer
Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou
SBAT: Video Captioning with Sparse Boundary-Aware Transformer
Tao Jin, Siyu Huang, Ming Chen, Yingming Li, Zhongfei Zhang
Multichannel Color Image Denoising via Weighted Schatten p-norm Minimization
Xinjian Huang, Bo Du, Weiwei Liu
Super-Resolution and Inpainting with Degraded and Upgraded Generative Adversarial Networks
Yawen Huang, Feng Zheng, Danyang Wang, Junyu Jiang, Xiaoqian Wang, Ling Shao
Real-World Automatic Makeup via Identity Preservation Makeup Net
Zhikun Huang, Zhedong Zheng, Chenggang Yan, Hongtao Xie, Yaoqi Sun, Jianzhong Wang, Jiyong Zhang
Human Consensus-Oriented Image Captioning
Ziwei Wang, Zi Huang, Yadan Luo
Biased Feature Learning for Occlusion Invariant Face Recognition
Changbin Shao, Jing Huo, Lei Qi, Zhen-Hua Feng, Wenbin Li, Chuanqi Dong, Yang Gao
Channel Pruning via Automatic Structure Search
Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian
GestureDet: Real-time Student Gesture Analysis with Multi-dimensional Attention-based Detector
Rui Zheng, Fei Jiang, Ruimin Shen
DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue
Xiaoze Jiang, Jing Yu, Yajing Sun, Zengchang Qin, Zihao Zhu, Yue Hu, Qi Wu
Pay Attention to Devils: A Photometric Stereo Network for Better Details
Yakun Ju, Kin-Man Lam, Yang Chen, Lin Qi, Junyu Dong
E3SN: Efficient End-to-End Siamese Network for Video Object Segmentation
Meng Lan, Yipeng Zhang, Qinning Xu, Lefei Zhang
TLPG-Tracker: Joint Learning of Target Localization and Proposal Generation for Visual Tracking
Siyuan Li, Zhi Zhang, Ziyu Liu, Anna Wang, Linglong Qiu, Feng Du
Learning Task-aware Local Representations for Few-shot Learning
Chuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu, Yang Gao
Bi-level Probabilistic Feature Learning for Deformable Image Registration
Risheng Liu, Zi Li, Yuxi Zhang, Xin Fan, Zhongxuan Luo
G2RL: Geometry-Guided Representation Learning for Facial Action Unit Intensity Estimation
Yingruo Fan, Zhaojiang Lin
Visual Encoding and Decoding of the Human Brain Based on Shared Features
Chao Li, Baolin Liu, Jianguo Wei
Learning to Discretely Compose Reasoning Module Networks for Video Captioning
Ganchao Tan, Daqing Liu, Meng Wang, Zheng-Jun Zha
Multi-Scale Spatial-Temporal Integration Convolutional Tube for Human Action Recognition
Haoze Wu, Jiawei Liu, Xierong Zhu, Meng Wang, Zheng-Jun Zha
Latent Regularized Generative Dual Adversarial Network For Abnormal Detection
Chengwei Chen, Jing Liu, Yuan Xie, Yin Xiao Ban, Chunyun Wu, Yiqing Tao, Haichuan Song
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning
Longteng Guo, Jing Liu, Xinxin Zhu, Xingjian He, Jie Jiang, Hanqing Lu
k-SDPP: Fixed-Size Video Summarization via Sequential Determinantal Point Processes
Jiping Zheng, Ganfeng Lu
Semi-Dynamic Hypergraph Neural Network for 3D Pose Estimation
Shengyuan Liu, Pei Lv, Yuzhen Zhang, Jie Fu, Junjin Cheng, Wanqing Li, Bing Zhou, Mingliang Xu
AttAN: Attention Adversarial Networks for 3D Point Cloud Semantic Segmentation
Gege Zhang, Qinghua Ma, Licheng Jiao, Fang Liu, Qigong Sun
Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position
Xu Ma, Song Fu
Transductive Relation-Propagation Network for Few-shot Learning
Yuqing Ma, Shihao Bai, Shan An, Wei Liu, Aishan Liu, Xiantong Zhen, Xianglong Liu
Few-shot Visual Learning with Contextual Memory and Fine-grained Calibration
Yuqing Ma, Wei Liu, Shihao Bai, Qingyu Zhang, Aishan Liu, Weimin Chen, Xianglong Liu
Dynamic Language Binding in Relational Visual Reasoning
Thao Minh Le, Vuong Le, Svetha Venkatesh, Truyen Tran
Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes
Lixin Fan, Kam Woh Ng, Ce Ju, Tianyu Zhang, Chee Seng Chan
BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation
Zhen-Liang Ni, Gui-Bin Bian, Guan-An Wang, Xiao-Hu Zhou, Zeng-Guang Hou, Xiao-Liang Xie, Zhen Li, Yu-Han Wang
Hierarchical Instance Feature Alignment for 2D Image-Based 3D Shape Retrieval
Heyu Zhou, Weizhi Nie, Wenhui Li, Dan Song, An-An Liu
Few-shot Human Motion Prediction via Learning Novel Motion Dynamics
Chuanqi Zang, Mingtao Pei, Yu Kong
Set and Rebase: Determining the Semantic Graph Connectivity for Unsupervised Cross-Modal Hashing
Weiwei Wang, Yuming Shen, Haofeng Zhang, Yazhou Yao, Li Liu
Weakly Supervised Few-shot Object Segmentation using Co-Attention with Visual and Semantic Embeddings
Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jagersand
Overflow Aware Quantization: Accelerating Neural Network Inference by Low-bit Multiply-Accumulate Operations
Hongwei Xie, Yafei Song, Ling Cai, Mingyang Li
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, Edward McFowland
Consistent Domain Structure Learning and Domain Alignment for 2D Image-Based 3D Objects Retrieval
Yuting Su, Yuqian Li, Dan Song, Weizhi Nie, Wenhui Li, An-An Liu
Diagnosing the Environment Bias in Vision-and-Language Navigation
Yubo Zhang, Hao Tan, Mohit Bansal
Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification
Haocong Rao, Siqi Wang, Xiping Hu, Mingkui Tan, Huang Da, Jun Cheng, Bin Hu
Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space
Licheng Zhang, Xianzhi Wang, Lina Yao, Lin Wu, Feng Zheng
Unsupervised Vehicle Re-identification with Progressive Adaptation
Jinjia Peng, Yang Wang, Huibing Wang, Zhao Zhang, Xianping Fu, Meng Wang
Recurrent Relational Memory Network for Unsupervised Image Captioning
Dan Guo, Yang Wang, Peipei Song, Meng Wang
Temporal Adaptive Alignment Network for Deep Video Inpainting
Ruixin Liu, Zhenyu Weng, Yuesheng Zhu, Bairong Li
Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation
Pin Jiang, Aming Wu, Yahong Han, Yunfeng Shao, Meiyu Qi, Bingshuai Li
Hierarchical Attention Based Spatial-Temporal Graph-to-Sequence Learning for Grounded Video Description
Kai Shen, Lingfei Wu, Fangli Xu, Siliang Tang, Jun Xiao, Yueting Zhuang
Polar Relative Positional Encoding for Video-Language Segmentation
Ke Ning, Lingxi Xie, Fei Wu, Qi Tian
Label-Attended Hashing for Multi-Label Image Retrieval
Yanzhao Xie, Yu Liu, Yangtao Wang, Lianli Gao, Peng Wang, Ke Zhou
Self-supervised Monocular Depth and Visual Odometry Learning with Scale-consistent Geometric Constraints
Mingkang Xiong, Zhenghong Zhang, Weilin Zhong, Jinsheng Ji, Jiyuan Liu, Huilin Xiong
DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion
Zixiang Zhao, Shuang Xu, Chunxia Zhang, Junmin Liu, Jiangshe Zhang, Pengfei Li
TRP: Trained Rank Pruning for Efficient Deep Neural Networks
Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong
Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval
Xinxun Xu, Muli Yang, Yanhua Yang, Hao Wang
HAF-SVG: Hierarchical Stochastic Video Generation with Aligned Features
Zhihui Lin, Chun Yuan, Maomao Li
Feature Augmented Memory with Global Attention Network for VideoQA
Jiayin Cai, Chun Yuan, Cheng Shi, Lei Li, Yangyang Cheng, Ying Shan
Exploiting Visual Semantic Reasoning for Video-Text Retrieval
Zerun Feng, Zhimin Zeng, Caili Guo, Zheng Li
Co-Saliency Spatio-Temporal Interaction Network for Person Re-Identification in Videos
Jiawei Liu, Zheng-Jun Zha, Xierong Zhu, Na Jiang
Self-Supervised Tuning for Few-Shot Segmentation
Kai Zhu, Wei Zhai, Yang Cao
A Similarity Inference Metric for RGB-Infrared Cross-Modality Person Re-identification
Mengxi Jia, Yunpeng Zhai, Shijian Lu, Siwei Ma, Jian Zhang
CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs
Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David Doermann
Weakly Supervised Local-Global Relation Network for Facial Expression Recognition
Haifeng Zhang, Wen Su, Jun Yu, Zengfu Wang
Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift
Qinming Zhang, Luyan Liu, Kai Ma, Cheng Zhuo, Yefeng Zheng
Dress like an Internet Celebrity: Fashion Retrieval in Videos
Hongrui Zhao, Jin Yu, Yanan Li, Donghui Wang, Jie Liu, Hongxia Yang, Fei Wu
Video Question Answering on Screencast Tutorials
Wentian Zhao, Seokhwan Kim, Ning Xu, Hailin Jin
Object-Aware Multi-Branch Relation Networks for Spatio-Temporal Video Grounding
Zhu Zhang, Zhou Zhao, Zhijie Lin, Baoxing Huai, Jing Yuan
Unsupervised Scene Adaptation with Memory Regularization in vivo
Zhedong Zheng, Yi Yang
Overcoming Language Priors with Self-supervised Learning for Visual Question Answering
Xi Zhu, Zhendong Mao, Chunxiao Liu, Peng Zhang, Bin Wang, Yongdong Zhang
Multi-attention Meta Learning for Few-shot Fine-grained Image Recognition
Yaohui Zhu, Chenlong Liu, Shuqiang Jiang
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering
Zihao Zhu, Jing Yu, Yujing Wang, Yajing Sun, Yue Hu, Qi Wu
Action-Guided Attention Mining and Relation Reasoning Network for Human-Object Interaction Detection
Xue Lin, Qi Zou, Xixia Xu
A Graph-based Interactive Reasoning for Human-Object Interaction Detection
Dongming Yang, Yuexian Zou
Data Mining
Cause-Effect Association between Event Pairs in Event Datasets
Debarun Bhattacharjya, Tian Gao, Nicholas Mattei, Dharmashankar Subramanian
Inductive Link Prediction for Nodes Having Only Attribute Information
Yu Hao, Xin Cao, Yixiang Fang, Xike Xie, Sibo Wang
Optimal Region Search with Submodular Maximization
Xuefeng Chen, Xin Cao, Yifeng Zeng, Yixiang Fang, Bin Yao
Discrete Embedding for Latent Networks
Hong Yang, Ling Chen, Minglong Lei, Lingfeng Niu, Chuan Zhou, Peng Zhang
GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension
Yu Chen, Lingfei Wu, Mohammed J. Zaki
Motif-Preserving Temporal Network Embedding
Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin
Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact
Adam Goodge, Bryan Hooi, See Kiong Ng, Wee Siong Ng
Opinion Maximization in Social Trust Networks
Pinghua Xu, Wenbin Hu, Jia Wu, Weiwei Liu
MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product
Zhichao Huang, Xutao Li, Yunming Ye, Michael K. Ng
On the Enumeration of Association Rules: A Decomposition-based Approach
Yacine Izza, Said Jabbour, Badran Raddaoui, Abdelahmid Boudane
Speeding up Very Fast Decision Tree with Low Computational Cost
Jian Sun, Hongyu Jia, Bo Hu, Xiao Huang, Hao Zhang, Hai Wan, Xibin Zhao
Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms
Boyang Li, Yurong Cheng, Ye Yuan, Guoren Wang, Lei Chen
Inductive Anomaly Detection on Attributed Networks
Kaize Ding, Jundong Li, Nitin Agarwal, Huan Liu
Enhancing Urban Flow Maps via Neural ODEs
Fan Zhou, Liang Li, Ting Zhong, Goce Trajcevski, Kunpeng Zhang, Jiahao Wang
When Do GNNs Work: Understanding and Improving Neighborhood Aggregation
Yiqing Xie, Sha Li, Carl Yang, Raymond Chi-Wing Wong, Jiawei Han
A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data
Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions
Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin
GraphSleepNet: Adaptive Spatial-Temporal Graph Convolutional Networks for Sleep Stage Classification
Ziyu Jia, Youfang Lin, Jing Wang, Ronghao Zhou, Xiaojun Ning, Yuanlai He, Yaoshuai Zhao
A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling
Jie Feng, Ziqian Lin, Tong Xia, Funing Sun, Diansheng Guo, Yong Li
Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning
Man Luo, Wenzhe Zhang, Tianyou Song, Kun Li, Hongming Zhu, Bowen Du, Hongkai Wen
Understanding the Success of Graph-based Semi-Supervised Learning using Partially Labelled Stochastic Block Model
Avirup Saha, Shreyas Sheshadri, Samik Datta, Niloy Ganguly, Disha Makhija, Priyank Patel
Multi-Channel Graph Neural Networks
Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
Online Semi-supervised Multi-label Classification with Label Compression and Local Smooth Regression
Peiyan Li, Honglian Wang, Christian Böhm, Junming Shao
Network Schema Preserving Heterogeneous Information Network Embedding
Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye
Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning
Ximing Li, Yang Wang
JANE: Jointly Adversarial Network Embedding
Liang Yang, Yuexue Wang, Junhua Gu, Chuan Wang, Xiaochun Cao, Yuanfang Guo
Evidence-Aware Hierarchical Interactive Attention Networks for Explainable Claim Verification
Lianwei Wu, Yuan Rao, Xiong Yang, Wanzhen Wang, Ambreen Nazir
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
Shuo Zhang, Lei Xie
Graph Neural Architecture Search
Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu
Domain Adaptive Classification on Heterogeneous Information Networks
Shuwen Yang, Guojie Song, Yilun Jin, Lun Du
Rumor Detection on Social Media with Graph Structured Adversarial Learning
Xiaoyu Yang, Yuefei Lyu, Tian Tian, Yifei Liu, Yudong Liu, Xi Zhang
Joint Representation Learning of Legislator and Legislation for Roll Call Prediction
Yuqiao Yang, Xiaoqiang Lin, Geng Lin, Zengfeng Huang, Changjian Jiang, Zhongyu Wei
Entity Synonym Discovery via Multipiece Bilateral Context Matching
Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu
BANANA: when Behavior ANAlysis meets social Network Alignment
Fuxin Ren, Zhongbao Zhang, Jiawei Zhang, Sen Su, Li Sun, Guozhen Zhu, Congying Guo
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization
Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh
Bilinear Graph Neural Network with Neighbor Interactions
Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang
Knowledge Representation and Reasoning
Boolean Games: Inferring Agents' Goals Using Taxation Queries
Abhijin Adiga, Sarit Kraus, Oleg Maksimov, S. S. Ravi
Pitfalls of Learning a Reward Function Online
Stuart Armstrong, Jan Leike, Laurent Orseau, Shane Legg
A Dataset Complexity Measure for Analogical Transfer
Fadi Badra
Answering Counting Queries over DL-Lite Ontologies
Meghyn Bienvenu, Quentin Manière, Michaël Thomazo
Implementing Theory of Mind on a Robot Using Dynamic Epistemic Logic
Lasse Dissing, Thomas Bolander
Maximizing the Spread of an Opinion in Few Steps: Opinion Diffusion in Non-Binary Networks
Robert Bredereck, Lilian Jacobs, Leon Kellerhals
Diagnosing Software Faults Using Multiverse Analysis
Prantik Chatterjee, Abhijit Chatterjee, Jose Campos, Rui Abreu, Subhajit Roy
Deductive Module Extraction for Expressive Description Logics
Patrick Koopmann, Jieying Chen
Neural Entity Summarization with Joint Encoding and Weak Supervision
Junyou Li, Gong Cheng, Qingxia Liu, Wen Zhang, Evgeny Kharlamov, Kalpa Gunaratna, Huajun Chen
Switch-List Representations in a Knowledge Compilation Map
Ondřej Čepek, Miloš Chromý
Counting Query Answers over a DL-Lite Knowledge Base
Diego Calvanese, Julien Corman, Davide Lanti, Simon Razniewski
Deep Learning for Abstract Argumentation Semantics
Dennis Craandijk, Floris Bex
Synthesizing strategies under expected and exceptional environment behaviors
Benjamin Aminof, Giuseppe De Giacomo, Alessio Lomuscio, Aniello Murano, Sasha Rubin
A Framework for Reasoning about Dynamic Axioms in Description Logics
Bartosz Bednarczyk, Stephane Demri, Alessio Mansutti
Overcoming the Grounding Bottleneck Due to Constraints in ASP Solving: Constraints Become Propagators
Bernardo Cuteri, Carmine Dodaro, Francesco Ricca, Peter Schüller
A Logic of Directions
Heshan Du, Natasha Alechina, Anthony G. Cohn
Automatic Synthesis of Generalized Winning Strategies of Impartial Combinatorial Games Using SMT Solvers
Kaisheng Wu, Liangda Fang, Liping Xiong, Zhao-Rong Lai, Yong Qiao, Kaidong Chen, Fei Rong
Revisiting the Notion of Extension over Incomplete Abstract Argumentation Frameworks
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro
All-Instances Oblivious Chase Termination is Undecidable for Single-Head Binary TGDs
Bartosz Bednarczyk, Robert Ferens, Piotr Ostropolski-Nalewaja
Semantic Width and the Fixed-Parameter Tractability of Constraint Satisfaction Problems
Hubie Chen, Georg Gottlob, Matthias Lanzinger, Reinhard Pichler
Smart Voting
Rachael Colley, Umberto Grandi, Arianna Novaro
The Complexity Landscape of Resource-Constrained Scheduling
Robert Ganian, Thekla Hamm, Guillaume Mescoff
Enriching Documents with Compact, Representative, Relevant Knowledge Graphs
Shuxin Li, Zixian Huang, Gong Cheng, Evgeny Kharlamov, Kalpa Gunaratna
NeurASP: Embracing Neural Networks into Answer Set Programming
Zhun Yang, Adam Ishay, Joohyung Lee
Belief Merging Operators as Maximum Likelihood Estimators
Patricia Everaere, Sebastien Konieczny, Pierre Marquis
On Computational Aspects of Iterated Belief Change
Nicolas Schwind, Sebastien Konieczny, Jean-Marie Lagniez, Pierre Marquis
Rewriting the Description Logic ALCHIQ to Disjunctive Existential Rules
David Carral, Markus Krötzsch
Lower Bounds and Faster Algorithms for Equality Constraints
Peter Jonsson, Victor Lagerkvist
Controlled Query Evaluation in Description Logics Through Instance Indistinguishability
Gianluca Cima, Domenico Lembo, Riccardo Rosati, Domenico Fabio Savo
On the Decidability of Intuitionistic Tense Logic without Disjunction
Fei Liang, Zhe Lin
A Modal Logic for Joint Abilities under Strategy Commitments
Zhaoshuai Liu, Liping Xiong, Yongmei Liu, Yves Lespérance, Ronghai Xu, Hongyi Shi
On Robustness in Qualitative Constraint Networks
Michael Sioutis, Zhiguo Long, Tomi Janhunen
Cone Semantics for Logics with Negation
Özgür Lütfü Özçep, Mena Leemhuis, Diedrich Wolter
A Journey into Ontology Approximation: From Non-Horn to Horn
Anneke Haga, Carsten Lutz, Johannes Marti, Frank Wolter
Lower Bounds for Approximate Knowledge Compilation
Alexis de Colnet, Stefan Mengel
A Fully Rational Account of Structured Argumentation Under Resource Bounds
Marcello D'Agostino, Sanjay Modgil
Solving Analogies on Words based on Minimal Complexity Transformation
Pierre-Alexandre Murena, Marie Al-Ghossein, Jean-Louis Dessalles, Antoine Cornuéjols
Controllability of Control Argumentation Frameworks
Andreas Niskanen, Daniel Neugebauer, Matti Järvisalo
Provenance for the Description Logic ELHr
Camille Bourgaux, Ana Ozaki, Rafael Penaloza, Livia Predoiu
On the Learnability of Possibilistic Theories
Cosimo Persia, Ana Ozaki
Concurrent Games in Dynamic Epistemic Logic
Bastien Maubert, Sophie Pinchinat, Francois Schwarzentruber, Silvia Stranieri
Model-Based Synthesis of Incremental and Correct Estimators for Discrete Event Systems
Stéphanie Roussel, Xavier Pucel, Valentin Bouziat, Louise Travé-Massuyès
Inconsistency Measurement for Improving Logical Formula Clustering
Yakoub Salhi
Threshold Treewidth and Hypertree Width
Robert Ganian, Andre Schidler, Manuel Sorge, Stefan Szeider
Adversarial Oracular Seq2seq Learning for Sequential Recommendation
Pengyu Zhao, Tianxiao Shui, Yuanxing Zhang, Kecheng Xiao, Kaigui Bian
Ranking Semantics for Argumentation Systems With Necessities
Dragan Doder, Srdjan Vesic, Madalina Croitoru
Tractable Fragments of Datalog with Metric Temporal Operators
Przemysław A. Wałęga, Bernardo Cuenca Grau, Mark Kaminski, Egor V. Kostylev
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning
Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari
Query Answering for Existential Rules via Efficient Datalog Rewriting
Zhe Wang, Peng Xiao, Kewen Wang, Zhiqiang Zhuang, Hai Wan
Model-theoretic Characterizations of Existential Rule Languages
Heng Zhang, Yan Zhang, Guifei Jiang
Machine Learning
Learning and Solving Regular Decision Processes
Eden Abadi, Ronen I. Brafman
Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective
Yusuke Iwasawa, Kei Akuzawa, Yutaka Matsuo
Learning With Subquadratic Regularization : A Primal-Dual Approach
Raman Sankaran, Francis Bach, Chiranjib Bhattacharyya
Learning Interpretable Representations with Informative Entanglements
Ege Beyazıt, Doruk Tuncel, Xu Yuan, Nian-Feng Tzeng, Xindong Wu
Order-Dependent Event Models for Agent Interactions
Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian
Neural Representation and Learning of Hierarchical 2-additive Choquet Integrals
Roman Bresson, Johanne Cohen, Eyke Hüllermeier, Christophe Labreuche, Michèle Sebag
Reinforcement Learning with Dynamic Boltzmann Softmax Updates
Ling Pan, Qingpeng Cai, Qi Meng, Wei Chen, Longbo Huang
A New Attention Mechanism to Classify Multivariate Time Series
Yifan Hao, Huiping Cao
Explainable Inference on Sequential Data via Memory-Tracking
Biagio La Rosa, Roberto Capobianco, Daniele Nardi
Positive Unlabeled Learning with Class-prior Approximation
Shizhen Chang, Bo Du, Liangpei Zhang
IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL
Nirbhay Modhe, Prithvijit Chattopadhyay, Mohit Sharma, Abhishek Das, Devi Parikh, Dhruv Batra, Ramakrishna Vedantam
Switching Poisson Gamma Dynamical Systems
Wenchao Chen, Bo Chen, Yicheng Liu, Qianru Zhao, Mingyuan Zhou
Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge
Gehui Shen, Xi Chen, Zhihong Deng
Bayesian Decision Process for Budget-efficient Crowdsourced Clustering
Xiaozhou Wang, Xi Chen, Qihang Lin, Weidong Liu
An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles
Niklas Åkerblom, Yuxin Chen, Morteza Haghir Chehreghani
Compressed Self-Attention for Deep Metric Learning with Low-Rank Approximation
Ziye Chen, Mingming Gong, Lingjuan Ge, Bo Du
Flow-based Intrinsic Curiosity Module
Hsuan-Kung Yang, Po-Han Chiang, Min-Fong Hong, Chun-Yi Lee
Learning Large Logic Programs By Going Beyond Entailment
Andrew Cropper, Sebastijan Dumančic
Fully Nested Neural Network for Adaptive Compression and Quantization
Yufei Cui, Ziquan Liu, Wuguannan Yao, Qiao Li, Antoni B. Chan, Tei-wei Kuo, Chun Jason Xue
SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search
Yaoming Wang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong
Potential Driven Reinforcement Learning for Hard Exploration Tasks
Enmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, Junliang Xing
The Sparse MinMax k-Means Algorithm for High-Dimensional Clustering
Sayak Dey, Swagatam Das, Rammohan Mallipeddi
Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks
Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung
Marthe: Scheduling the Learning Rate Via Online Hypergradients
Michele Donini, Luca Franceschi, Orchid Majumder, Massimiliano Pontil, Paolo Frasconi
Coloring Graph Neural Networks for Node Disambiguation
George Dasoulas, Ludovic Dos Santos, Kevin Scaman, Aladin Virmaux
Self-paced Consensus Clustering with Bipartite Graph
Peng Zhou, Liang Du, Xuejun Li
Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks
Maxime Wabartha, Audrey Durand, Vincent François-Lavet, Joelle Pineau
Non-monotone DR-submodular Maximization over General Convex Sets
Christoph Dürr, Nguyen Kim Thang, Abhinav Srivastav, Léo Tible
Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data
Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Marc Sebban
Metric Learning in Optimal Transport for Domain Adaptation
Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban
Memory Augmented Neural Model for Incremental Session-based Recommendation
Fei Mi, Boi Faltings
Decorrelated Clustering with Data Selection Bias
Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States!
Dingqi Yang, Benjamin Fankhauser, Paolo Rosso, Philippe Cudre-Mauroux
Knowledge Hypergraphs: Prediction Beyond Binary Relations
Bahare Fatemi, Perouz Taslakian, David Vazquez, David Poole
Solving Hard AI Planning Instances Using Curriculum-Driven Deep Reinforcement Learning
Dieqiao Feng, Carla Gomes, Bart Selman
Can Cross Entropy Loss Be Robust to Label Noise?
Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An
Learning Interpretable Models in the Property Specification Language
Rajarshi Roy, Dana Fisman, Daniel Neider
Best Arm Identification in Spectral Bandits
Tomáš Kocák, Aurélien Garivier
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering
Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang
Human-Driven FOL Explanations of Deep Learning
Gabriele Ciravegna, Francesco Giannini, Marco Gori, Marco Maggini, Stefano Melacci
Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models
Frank Nussbaum, Joachim Giesen
Online Positive and Unlabeled Learning
Chuang Zhang, Chen Gong, Tengfei Liu, Xun Lu, Weiqiang Wang, Jian Yang
Batch Decorrelation for Active Metric Learning
Priyadarshini Kumari, Ritesh Goru, Siddhartha Chaudhuri, Subhasis Chaudhuri
Fairness-Aware Neural Rényi Minimization for Continuous Features
Vincent Grari, Sylvain Lamprier, Marcin Detyniecki
Towards Accurate and Robust Domain Adaptation under Noisy Environments
Zhongyi Han, Xian-Jin Gui, Chaoran Cui, Yilong Yin
FNNC: Achieving Fairness through Neural Networks
Manisha Padala, Sujit Gujar
Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation
Julian Berk, Sunil Gupta, Santu Rana, Svetha Venkatesh
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge
Peng Zhang, Jianye Hao, Weixun Wang, Hongyao Tang, Yi Ma, Yihai Duan, Yan Zheng
Soft Threshold Ternary Networks
Weixiang Xu, Xiangyu He, Tianli Zhao, Qinghao Hu, Peisong Wang, Jian Cheng
DeepView: Visualizing Classification Boundaries of Deep Neural Networks as Scatter Plots Using Discriminative Dimensionality Reduction
Alexander Schulz, Fabian Hinder, Barbara Hammer
Complete Bottom-Up Predicate Invention in Meta-Interpretive Learning
Céline Hocquette, Stephen H. Muggleton
Interpretable Models for Understanding Immersive Simulations
Nicholas Hoernle, Kobi Gal, Barbara Grosz, Leilah Lyons, Ada Ren, Andee Rubin
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search
Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu
Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning
Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet Orgun, Longbing Cao
Stochastic Batch Augmentation with An Effective Distilled Dynamic Soft Label Regularizer
Qian Li, Qingyuan Hu, Yong Qi, Saiyu Qi, Jie Ma, Jian Zhang
Unsupervised Monocular Visual-inertial Odometry Network
Peng Wei, Guoliang Hua, Weibo Huang, Fanyang Meng, Hong Liu
LSGCN: Long Short-Term Traffic Prediction with Graph Convolutional Networks
Rongzhou Huang, Chuyin Huang, Yubao Liu, Genan Dai, Weiyang Kong
Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning
Hao Zhu, Huaibo Huang, Yi Li, Aihua Zheng, Ran He
Tensor-based multi-view label enhancement for multi-label learning
Fangwen Zhang, Xiuyi Jia, Weiwei Li
Privileged label enhancement with multi-label learning
Wenfang Zhu, Xiuyi Jia, Weiwei Li
Optimal Margin Distribution Machine for Multi-Instance Learning
Teng Zhang, Hai Jin
Knowledge-Based Regularization in Generative Modeling
Naoya Takeishi, Yoshinobu Kawahara
Generalized Mean Estimation in Monte-Carlo Tree Search
Tuan Dam, Pascal Klink, Carlo D'Eramo, Jan Peters, Joni Pajarinen
Logic Constrained Pointer Networks for Interpretable Textual Similarity
Subhadeep Maji, Rohan Kumar, Manish Bansal, Kalyani Roy, Pawan Goyal
Learning with Labeled and Unlabeled Multi-Step Transition Data for Recovering Markov Chain from Incomplete Transition Data
Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda
Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection
Zhen Wang, Chao Lan
Synthesizing Aspect-Driven Recommendation Explanations from Reviews
Trung-Hoang Le, Hady W. Lauw
Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection
Sehun Yu, Dongha Lee, Hwanjo Yu
Embodied Multimodal Multitask Learning
Devendra Singh Chaplot, Lisa Lee, Ruslan Salakhutdinov, Devi Parikh, Dhruv Batra
Neural Tensor Model for Learning Multi-Aspect Factors in Recommender Systems
Huiyuan Chen, Jing Li
Scalable Gaussian Process Regression Networks
Shibo Li, Wei Xing, Robert M. Kirby, Shandian Zhe
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search
Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling
Yaqiong Li, Xuhui Fan, Ling Chen, Bin Li, Zheng Yu, Scott A. Sisson
Collaboration Based Multi-Label Propagation for Fraud Detection
Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen
Contextualized Point-of-Interest Recommendation
Peng Han, Zhongxiao Li, Yong Liu, Peilin Zhao, Jing Li, Hao Wang, Shuo Shang
MaCAR: Urban Traffic Light Control via Active Multi-agent Communication and Action Rectification
Zhengxu Yu, Shuxian Liang, Long Wei, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua
Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space
Xiao Zhang, Shizhong Liao
Balancing Individual Preferences and Shared Objectives in Multiagent Reinforcement Learning
Ishan Durugkar, Elad Liebman, Peter Stone
Multi-label Feature Selection via Global Relevance and Redundancy Optimization
Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Kay Chen Tan
Deep Feedback Network for Recommendation
Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin
Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation
Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu
Argot: Generating Adversarial Readable Chinese Texts
Zihan Zhang, Mingxuan Liu, Chao Zhang, Yiming Zhang, Zhou Li, Qi Li, Haixin Duan, Donghong Sun
Joint Partial Optimal Transport for Open Set Domain Adaptation
Renjun Xu, Pelen Liu, Yin Zhang, Fang Cai, Jindong Wang, Shuoying Liang, Heting Ying, Jianwei Yin
Multivariate Probability Calibration with Isotonic Bernstein Polynomials
Yongqiao Wang, Xudong Liu
Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints
Huanle Xu, Yang Liu, Wing Cheong Lau, Rui Li
Learning Personalized Itemset Mapping for Cross-Domain Recommendation
Yinan Zhang, Yong Liu, Peng Han, Chunyan Miao, Lizhen Cui, Baoli Li, Haihong Tang
Label Distribution for Learning with Noisy Labels
Yun-Peng Liu, Ning Xu, Yu Zhang, Xin Geng
Intent Preference Decoupling for User Representation on Online Recommender System
Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen
Beyond Network Pruning: a Joint Search-and-Training Approach
Xiaotong Lu, Han Huang, Weisheng Dong, Xin Li, Guangming Shi
Collaborative Self-Attention Network for Session-based Recommendation
Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng
Sinkhorn Regression
Lei Luo, Jian Pei, Heng Huang
A Bi-level Formulation for Label Noise Learning with Spectral Cluster Discovery
Yijing Luo, Bo Han, Chen Gong
Partial Multi-Label Learning via Multi-Subspace Representation
Ziwei Li, Gengyu Lyu, Songhe Feng
Feature Statistics Guided Efficient Filter Pruning
Hang Li, Chen Ma, Wei Xu, Xue Liu
On Deep Unsupervised Active Learning
Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiao-Yu Zhang, Guoren Wang
Mixed-Variable Bayesian Optimization
Erik Daxberger, Anastasia Makarova, Matteo Turchetta, Andreas Krause
The Importance of the Test Set Size in Quantification Assessment
André Maletzke, Waqar Hassan, Denis dos Reis, Gustavo Batista
Understanding the Power and Limitations of Teaching with Imperfect Knowledge
Rati Devidze, Farnam Mansouri, Luis Haug, Yuxin Chen, Adish Singla
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning
Johan Ferret, Raphael Marinier, Matthieu Geist, Olivier Pietquin
Textual Membership Queries
Jonathan Zarecki, Shaul Markovitch
I4R: Promoting Deep Reinforcement Learning by the Indicator for Expressive Representations
Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang
Learning Neural-Symbolic Descriptive Planning Models via Cube-Space Priors: The Voyage Home (to STRIPS)
Masataro Asai, Christian Muise
Optimality, Accuracy, and Efficiency of an Exact Functional Test
Hien H. Nguyen, Hua Zhong, Mingzhou Song
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability
Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu
SVRG for Policy Evaluation with Fewer Gradient Evaluations
Zilun Peng, Ahmed Touati, Pascal Vincent, Doina Precup
Diffusion Variational Autoencoders
Luis A. Perez Rey, Vlado Menkovski, Jim Portegies
Only Relevant Information Matters: Filtering Out Noisy Samples To Boost RL
Yannis Flet-Berliac, Philippe Preux
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge
Pinzhuo Tian, Lei Qi, Shaokang Dong, Yinghuan Shi, Yang Gao
Accelerating Stratified Sampling SGD by Reconstructing Strata
Weijie Liu, Hui Qian, Chao Zhang, Zebang Shen, Jiahao Xie, Nenggan Zheng
Internal and Contextual Attention Network for Cold-start Multi-channel Matching in Recommendation
Ruobing Xie, Zhijie Qiu, Jun Rao, Yi Liu, Bo Zhang, Leyu Lin
KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction
Xuan Lin, Zhe Quan, Zhi-Jie Wang, Tengfei Ma, Xiangxiang Zeng
Toward a neuro-inspired creative decoder
Payel Das, Brian Quanz, Pin-Yu Chen, Jae-wook Ahn, Dhruv Shah
Inference-Masked Loss for Deep Structured Output Learning
Quan Guo, Hossein Rajaby Faghihi, Yue Zhang, Andrzej Uszok, Parisa Kordjamshidi
Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery
Zhao Zhang, Jiahuan Ren, Zheng Zhang, Guangcan Liu
General Purpose MRF Learning with Neural Network Potentials
Hao Xiong, Nicholas Ruozzi
Measuring the Discrepancy between Conditional Distributions: Methods, Properties and Applications
Shujian Yu, Ammar Shaker, Francesco Alesiani, Jose Principe
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
Sankalp Garg, Navodita Sharma, Woojeong Jin, Xiang Ren
Is the Skip Connection Provable to Reform the Neural Network Loss Landscape?
Lifu Wang, Bo Shen, Ning Zhao, Zhiyuan Zhang
Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
Haowen Fang, Amar Shrestha, Ziyi Zhao, Qinru Qiu
Mutual Information Estimation using LSH Sampling
Ryan Spring, Anshumali Shrivastava
Reward Prediction Error as an Exploration Objective in Deep RL
Riley Simmons-Edler, Ben Eisner, Daniel Yang, Anthony Bisulco, Eric Mitchell, Sebastian Seung, Daniel Lee
BRPO: Batch Residual Policy Optimization
Sungryull Sohn, Yinlam Chow, Jayden Ooi, Ofir Nachum, Honglak Lee, Ed Chi, Craig Boutilier
Communicative Representation Learning on Attributed Molecular Graphs
Ying Song, Shuangjia Zheng, Zhangming Niu, Zhang-hua Fu, Yutong Lu, Yuedong Yang
Spectral Pruning: Compressing Deep Neural Networks via Spectral Analysis and its Generalization Error
Taiji Suzuki, Hiroshi Abe, Tomoya Murata, Shingo Horiuchi, Kotaro Ito, Tokuma Wachi, So Hirai, Masatoshi Yukishima, Tomoaki Nishimura
Reinforcement Learning Framework for Deep Brain Stimulation Study
Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche, Michael Rosenblum, Dmitry V. Dylov
DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization
Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Hiroki Arimura
Constrained Policy Improvement for Efficient Reinforcement Learning
Elad Sarafian, Aviv Tamar, Sarit Kraus
Adaptively Multi-Objective Adversarial Training for Dialogue Generation
Xuemiao Zhang, Zhouxing Tan, Xiaoning Zhang, Yang Cao, Rui Yan
Multi-Class Imbalanced Graph Convolutional Network Learning
Min Shi, Yufei Tang, Xingquan Zhu, David Wilson, Jianxun Liu
Learning in the Wild with Incremental Skeptical Gaussian Processes
Andrea Bontempelli, Stefano Teso, Fausto Giunchiglia, Andrea Passerini
Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling
Daniel Stoller, Mi Tian, Sebastian Ewert, Simon Dixon
Independent Skill Transfer for Deep Reinforcement Learning
Qiangxing Tian, Guanchu Wang, Jinxin Liu, Donglin Wang, Yachen Kang
Crowdsourcing with Multiple-Source Knowledge Transfer
Guangyang Han, Jinzheng Tu, Guoxian Yu, Jun Wang, Carlotta Domeniconi
Class Prior Estimation in Active Positive and Unlabeled Learning
Lorenzo Perini, Vincent Vercruyssen, Jesse Davis
Reducing Underflow in Mixed Precision Training by Gradient Scaling
Ruizhe Zhao, Brian Vogel, Tanvir Ahmed, Wayne Luk
Triple-GAIL: A Multi-Modal Imitation Learning Framework with Generative Adversarial Nets
Cong Fei, Bin Wang, Yuzheng Zhuang, Zongzhang Zhang, Jianye Hao, Hongbo Zhang, Xuewu Ji, Wulong Liu
Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs
Bo Xue, Guanghui Wang, Yimu Wang, Lijun Zhang
Learning From Multi-Dimensional Partial Labels
Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen
Unsupervised Representation Learning by Predicting Random Distances
Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma
Asymmetric Distribution Measure for Few-shot Learning
Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo
Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables
Jiaqi Zhang, Meng Wang, Qinchi Li, Sen Wang, Xiaojun Chang, Beilun Wang
Multi-View Attribute Graph Convolution Networks for Clustering
Jiafeng Cheng, Qianqian Wang, Zhiqiang Tao, Deyan Xie, Quanxue Gao
Classification with Rejection: Scaling Generative Classifiers with Supervised Deep Infomax
Xin Wang, Siu Ming Yiu
TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure
Fuxiang Zhang, Xin Wang, Zhao Li, Jianxin Li
Towards Explainable Conversational Recommendation
Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen
A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation
Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng
Discriminative Feature Selection via A Structured Sparse Subspace Learning Module
Zheng Wang, Feiping Nie, Lai Tian, Rong Wang, Xuelong Li
Evaluating and Aggregating Feature-based Model Explanations
Umang Bhatt, Adrian Weller, José M. F. Moura
User Modeling with Click Preference and Reading Satisfaction for News Recommendation
Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang
RDF-to-Text Generation with Graph-augmented Structural Neural Encoders
Hanning Gao, Lingfei Wu, Po Hu, Fangli Xu
Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations
Peixi Peng, Junliang Xing, Lili Cao
Bayesian Optimization using Pseudo-Points
Chao Qian, Hang Xiong, Ke Xue
Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent
Bowen Weng, Huaqing Xiong, Yingbin Liang, Wei Zhang
Discovering Latent Class Labels for Multi-Label Learning
Jun Huang, Linchuan Xu, Jing Wang, Lei Feng, Kenji Yamanishi
MergeNAS: Merge Operations into One for Differentiable Architecture Search
Xiaoxing Wang, Chao Xue, Junchi Yan, Xiaokang Yang, Yonggang Hu, Kewei Sun
BaKer-Nets: Bayesian Random Kernel Mapping Networks
Hui Xue, Zheng-Fan Wu
On Metric DBSCAN with Low Doubling Dimension
Hu Ding, Fan Yang, Mingyue Wang
Multi-Feedback Bandit Learning with Probabilistic Contexts
Luting Yang, Jianyi Yang, Shaolei Ren
Efficient Deep Reinforcement Learning via Adaptive Policy Transfer
Tianpei Yang, Jianye Hao, Zhaopeng Meng, Zongzhang Zhang, Yujing Hu, Yingfeng Chen, Changjie Fan, Weixun Wang, Wulong Liu, Zhaodong Wang, Jiajie Peng
Greedy Convex Ensemble
Thanh Tan Nguyen, Nan Ye, Peter Bartlett
MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics
Mohammadamin Barekatain, Ryo Yonetani, Masashi Hamaya
Gradient Perturbation is Underrated for Differentially Private Convex Optimization
Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu
Weakly-Supervised Multi-view Multi-instance Multi-label Learning
Yuying Xing, Guoxian Yu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang
I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning
Rundong Wang, Runsheng Yu, Bo An, Zinovi Rabinovich
A Dual Input-aware Factorization Machine for CTR Prediction
Wantong Lu, Yantao Yu, Yongzhe Chang, Zhen Wang, Chenhui Li, Bo Yuan
Dual Policy Distillation
Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu
Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning
Hui Xu, Chong Zhang, Jiaxing Wang, Deqiang Ouyang, Yu Zheng, Jie Shao
Semi-supervised Clustering via Pairwise Constrained Optimal Graph
Feiping Nie, Han Zhang, Rong Wang, Xuelong Li
Generating Robust Audio Adversarial Examples with Temporal Dependency
Hongting Zhang, Pan Zhou, Qiben Yan, Xiao-Yang Liu
BERT-INT:A BERT-based Interaction Model For Knowledge Graph Alignment
Xiaobin Tang, Jing Zhang, Bo Chen, Yang Yang, Hong Chen, Cuiping Li
Self-adaptive Re-weighted Adversarial Domain Adaptation
Shanshan Wang, Lei Zhang
One-Shot Neural Architecture Search via Novelty Driven Sampling
Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven Su
Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution
Qiulin Zhang, Zhuqing Jiang, Qishuo Lu, Jia'nan Han, Zhengxin Zeng, Shanghua Gao, Aidong Men
Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification
Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han
Trajectory Similarity Learning with Auxiliary Supervision and Optimal Matching
Hanyuan Zhang, Xinyu Zhang, Qize Jiang, Baihua Zheng, Zhenbang Sun, Weiwei Sun, Changhu Wang
Discovering Subsequence Patterns for Next POI Recommendation
Kangzhi Zhao, Yong Zhang, Hongzhi Yin, Jin Wang, Kai Zheng, Xiaofang Zhou, Chunxiao Xing
Label Enhancement for Label Distribution Learning via Prior Knowledge
Yongbiao Gao, Yu Zhang, Xin Geng
CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network
Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Guo-Sen Xie
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection
Zhiwei Zhang, Shifeng Chen, Lei Sun
EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services
Jiankai Sun, Jie Zhao, Huan Sun, Srinivasan Parthasarathy
Multi-Scale Group Transformer for Long Sequence Modeling in Speech Separation
Yucheng Zhao, Chong Luo, Zheng-Jun Zha, Wenjun Zeng
pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization
Beitong Zhou, Jun Liu, Weigao Sun, Ruijuan Chen, Claire Tomlin, Ye Yuan
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks
Jinghui Chen, Dongruo Zhou, Yiqi Tang, Ziyan Yang, Yuan Cao, Quanquan Gu
Tight Convergence Rate of Gradient Descent for Eigenvalue Computation
Qinghua Ding, Kaiwen Zhou, James Cheng
Smart Contract Vulnerability Detection using Graph Neural Network
Yuan Zhuang, Zhenguang Liu, Peng Qian, Qi Liu, Xiang Wang, Qinming He
Unsupervised Domain Adaptation with Dual-Scheme Fusion Network for Medical Image Segmentation
Danbing Zou, Qikui Zhu, Pingkun Yan
Neighbor Combinatorial Attention for Critical Structure Mining
Tanli Zuo, Yukun Qiu, Wei-Shi Zheng
Natural Language Processing
Hierarchical Linear Disentanglement of Data-Driven Conceptual Spaces
Rana Alshaikh, Zied Bouraoui, Steven Schockaert
How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context
Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang
Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation
Guanhua Chen, Yun Chen, Yong Wang, Victor O.K. Li
Attention-based Multi-level Feature Fusion for Named Entity Recognition
Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang
Exemplar Guided Neural Dialogue Generation
Hengyi Cai, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Dawei Yin
Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations
Jian Liu, Yubo Chen, Jun Zhao
Two-Phase Hypergraph Based Reasoning with Dynamic Relations for Multi-Hop KBQA
Jiale Han, Bo Cheng, Xu Wang
LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning
Jian Liu, Leyang Cui, Hanmeng Liu, Dandan Huang, Yile Wang, Yue Zhang
Guided Generation of Cause and Effect
Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme
EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness
Shifeng Li, Shi Feng, Daling Wang, Kaisong Song, Yifei Zhang, Weichao Wang
RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task
Yu Zeng, Yan Gao, Jiaqi Guo, Bei Chen, Qian Liu, Jian-Guang Lou, Fei Teng, Dongmei Zhang
Learning Latent Forests for Medical Relation Extraction
Zhijiang Guo, Guoshun Nan, Wei LU, Shay B. Cohen
Global Structure and Local Semantics-Preserved Embeddings for Entity Alignment
Hao Nie, Xianpei Han, Le Sun, Chi Man Wong, Qiang Chen, Suhui Wu, Wei Zhang
Hierarchical Matching Network for Heterogeneous Entity Resolution
Cheng Fu, Xianpei Han, Jiaming He, Le Sun
Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model
Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan
Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning
Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Wei Wu
Generating Reasonable Legal Text through the Combination of Language Modeling and Question Answering
Weijing Huang, Xianfeng Liao, Zhiqiang Xie, Jiang Qian, Bojin Zhuang, Shaojun Wang, Jing Xiao
Modeling Voting for System Combination in Machine Translation
Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, Jingfang Xu, Maosong Sun, Yang Liu
Unsupervised Multilingual Alignment using Wasserstein Barycenter
Xin Lian, Kshitij Jain, Jakub Truszkowski, Pascal Poupart, Yaoliang Yu
A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition
Conghui Tan, Di Jiang, Jinhua Peng, Xueyang Wu, Qian Xu, Qiang Yang
Neural Abstractive Summarization with Structural Attention
Tanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty
Domain Adaptation for Semantic Parsing
Zechang Li, Yuxuan Lai, Yansong Feng, Dongyan Zhao
Evaluating Natural Language Generation via Unbalanced Optimal Transport
Yimeng Chen, Yanyan Lan, Ruinbin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng
Modeling Topical Relevance for Multi-Turn Dialogue Generation
Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin
Robust Front-End for Multi-Channel ASR using Flow-Based Density Estimation
Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang, Hyung Yong Kim, Nam Soo Kim
Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base
Yongrui Chen, Huiying Li, Yuncheng Hua, Guilin Qi
Towards Fully 8-bit Integer Inference for the Transformer Model
Ye Lin, Yanyang Li, Tengbo Liu, Tong Xiao, Tongran Liu, Jingbo Zhu
TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact
Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, Zhonghai Wu
Infobox-to-text Generation with Tree-like Planning based Attention Network
Yang Bai, Ziran Li, Ning Ding, Ying Shen, Hai-Tao Zheng
Triple-to-Text Generation with an Anchor-to-Prototype Framework
Ziran Li, Zibo Lin, Ning Ding, Hai-Tao Zheng, Ying Shen
Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction
Jie Liu, Shaowei Chen, Bingquan Wang, Jiaxin Zhang, Na Li, Tong Xu
An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension
Xin Liu, Kai Liu, Xiang Li, Jinsong Su, Yubin Ge, Bin Wang, Jiebo Luo
Text Style Transfer via Learning Style Instance Supported Latent Space
Xiaoyuan Yi, Zhenghao Liu, Wenhao Li, Maosong Sun
Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic Relabeling
Haoyu Zhang, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Fei Huang, Ji Wang
Joint Time-Frequency and Time Domain Learning for Speech Enhancement
Chuanxin Tang, Chong Luo, Zhiyuan Zhao, Wenxuan Xie, Wenjun Zeng
Answer Generation through Unified Memories over Multiple Passages
Makoto Nakatsuji, Sohei Okui
On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification
Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang
MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation
Edoardo Barba, Luigi Procopio, Niccolò Campolungo, Tommaso Pasini, Roberto Navigli
Dialogue State Induction Using Neural Latent Variable Models
Qingkai Min, Libo Qin, Zhiyang Teng, Xiao Liu, Yue Zhang
CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP
Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che
Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation
Jinglin Liu, Yi Ren, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu
End-to-End Transition-Based Online Dialogue Disentanglement
Hui Liu, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, Xiaodan Zhu
Hierarchical Multi-task Learning for Organization Evaluation of Argumentative Student Essays
Wei Song, Ziyao Song, Lizhen Liu, Ruiji Fu
Transformers as Soft Reasoners over Language
Peter Clark, Oyvind Tafjord, Kyle Richardson
Neural Machine Translation with Error Correction
Kaitao Song, Xu Tan, Jianfeng Lu
Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training
Haochen Shi, Siliang Tang, Xiaotao Gu, Bo Chen, Zhigang Chen, Jian Shao, Xiang Ren
Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network
Zeyun Tang, Yongliang Shen, Xinyin Ma, Wei Xu, Jiale Yu, Weiming Lu
Gaussian Embedding of Linked Documents from a Pretrained Semantic Space
Antoine Gourru, Julien Velcin, Julien Jacques
Better AMR-To-Text Generation with Graph Structure Reconstruction
Tianming Wang, Xiaojun Wan, Shaowei Yao
UniTrans : Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jian-Guang Lou
Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating
Hongfei Xu, Deyi Xiong, Josef van Genabith, Qiuhui Liu
Enhancing Dialog Coherence with Event Graph Grounded Content Planning
Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che
Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation Extraction
Tianyang Zhao, Zhao Yan, Yunbo Cao, Zhoujun Li
Exploring Bilingual Parallel Corpora for Syntactically Controllable Paraphrase Generation
Mingtong Liu, Erguang Yang, Deyi Xiong, Yujie Zhang, Chen Sheng, Changjian Hu, Jinan Xu, Yufeng Chen
A Structured Latent Variable Recurrent Network With Stochastic Attention For Generating Weibo Comments
Shijie Yang, Liang Li, Shuhui Wang, Weigang Zhang, Qingming Huang, Qi Tian
Dataless Short Text Classification Based on Biterm Topic Model and Word Embeddings
Yi Yang, Hongan Wang, Jiaqi Zhu, Yunkun Wu, Kailong Jiang, Wenli Guo, Wandong Shi
Leveraging Document-Level Label Consistency for Named Entity Recognition
Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang
Towards Making the Most of Context in Neural Machine Translation
Zaixiang Zheng, Xiang Yue, Shujian Huang, Jiajun Chen, Alexandra Birch
Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic Embedding
Chengkun Zhang, Junbin Gao
ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation
Dongling Xiao, Han Zhang, Yukun Li, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang
TransOMCS: From Linguistic Graphs to Commonsense Knowledge
Hongming Zhang, Daniel Khashabi, Yangqiu Song, Dan Roth
Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem
Jipeng Zhang, Roy Ka-Wei Lee, Ee-Peng Lim, Wei Qin, Lei Wang, Jie Shao, Qianru Sun
Generalized Zero-Shot Text Classification for ICD Coding
Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric Xing
Gated POS-Level Language Model for Authorship Verification
Linshu Ouyang, Yongzheng Zhang, Hui Liu, Yige Chen, Yipeng Wang
Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction
Shan Zhao, Minghao Hu, Zhiping Cai, Fang Liu
Knowledge Graphs Enhanced Neural Machine Translation
Yang Zhao, Jiajun Zhang, Yu Zhou, Chengqing Zong
Fast and Accurate Neural CRF Constituency Parsing
Yu Zhang, Houquan Zhou, Zhenghua Li
A Relation-Specific Attention Network for Joint Entity and Relation Extraction
Yue Yuan, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo
