AAAI 2021

1,961 papers

Complete Closed Time Intervals-Related Patterns Mining

Omer David Harel, Robert Moskovitch

GAN Ensemble for Anomaly Detection

Xu Han, Xiaohui Chen, Li-Ping Liu

Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks

Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou

NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction

Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu

Exploiting Behavioral Consistence for Universal User Representation

Jie Gu, Feng Wang, Qinghui Sun, Zhiquan Ye, Xiaoxiao Xu

Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs

Tony Gracious, Shubham Gupta, Arun Kanthali, Rui M. Castro, Ambedkar Dukkipati

Estimating the Number of Induced Subgraphs from Incomplete Data and Neighborhood Queries

Dimitris Fotakis, Thanasis Pittas, Stratis Skoulakis

A Hybrid Bandit Framework for Diversified Recommendation

Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang

Graph Neural Network-Based Anomaly Detection in Multivariate Time Series

Ailin Deng, Bryan Hooi

PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding

Zhu-Mu Chen, Mi-Yen Yeh, Tei-Wei Kuo

Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems

Zhengyu Chen, Ziqing Xu, Donglin Wang

Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks

Yu Chen, Sinno Jialin Pan

Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning

Yongrui Chen, Xinnan Guo, Chaojie Wang, Jian Qiu, Guilin Qi

A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models

Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li

Revisiting Consistent Hashing with Bounded Loads

John Chen, Benjamin Coleman, Anshumali Shrivastava

Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure

Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian

Graph Heterogeneous Multi-Relational Recommendation

Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He

Beyond Low-frequency Information in Graph Convolutional Networks

Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen

Extreme k-Center Clustering

Mohammadhossein Bateni, Hossein Esfandiari, Manuela Fischer, Vahab Mirrokni

Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies

Giulia Zarpellon, Jason Jo, Andrea Lodi, Yoshua Bengio

Symmetric Component Caching for Model Counting on Combinatorial Instances

Timothy van Bremen, Vincent Derkinderen, shubham sharma, Subhajit Roy, Kuldeep S. Meel

LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints

Qingyang Tan, Zherong Pan, Dinesh Manocha

SAT-based Decision Tree Learning for Large Data Sets

Andre Schidler, Stefan Szeider

Turbocharging Treewidth-Bounded Bayesian Network Structure Learning

Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider

Satisfiability and Algorithms for Non-uniform Random k-SAT

Oleksii Omelchenko, Andrei Bulatov

Dependency Stochastic Boolean Satisfiability: A Logical Formalism for NEXPTIME Decision Problems with Uncertainty

Nian-Ze Lee, Jie-Hong R. Jiang

Towards More Practical and Efficient Automatic Dominance Breaking

Jimmy H.M. Lee, Allen Z. Zhong

Parallel Constraint Acquisition

Nadjib Lazaar

The Power of Literal Equivalence in Model Counting

Yong Lai, Kuldeep S. Meel, Roland H. C. Yap

On Continuous Local BDD-Based Search for Hybrid SAT Solving

Anastasios Kyrillidis, Moshe Vardi, Zhiwei Zhang

Backdoor Decomposable Monotone Circuits and Propagation Complete Encodings

Petr Kučera, Petr Savický

Binary Matrix Factorisation via Column Generation

Reka A. Kovacs, Oktay Gunluk, Raphael A. Hauser

Smooth Convex Optimization Using Sub-Zeroth-Order Oracles

Mustafa O. Karabag, Cyrus Neary, Ufuk Topcu

A Scalable Two Stage Approach to Computing Optimal Decision Sets

Alexey Ignatiev, Edward Lam, Peter J. Stuckey, Joao Marques-Silva

Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization

Yuya Hikima, Yasunori Akagi, Hideaki Kim, Masahiro Kohjima, Takeshi Kurashima

Scalable Verification of Quantized Neural Networks

Thomas A. Henzinger, Mathias Lechner, Đorđe Žikelić

Finding Diverse Trees, Paths, and More

Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita, Yota Otachi

Certifying Parity Reasoning Efficiently Using Pseudo-Boolean Proofs

Stephan Gocht, Jakob Nordström

Optimising Automatic Calibration of Electric Muscle Stimulation

Graeme Gange, Jarrod Knibbe

Cutting to the Core of Pseudo-Boolean Optimization: Combining Core-Guided Search with Cutting Planes Reasoning

Jo Devriendt, Stephan Gocht, Emir Demirović, Jakob Nordström, Peter J. Stuckey

Teaching the Old Dog New Tricks: Supervised Learning with Constraints

Fabrizio Detassis, Michele Lombardi, Michela Milano

Optimal Decision Trees for Nonlinear Metrics

Emir Demirović, Peter J. Stuckey

Disjunctive Temporal Problems under Structural Restrictions

Konrad K Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov

Solving Infinite-Domain CSPs Using the Patchwork Property

Konrad K Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov

An Improved Upper Bound for SAT

Huairui Chu, Mingyu Xiao, Zhe Zhang

A Sharp Leap from Quantified Boolean Formula to Stochastic Boolean Satisfiability Solving

Pei-Wei Chen, Yu-Ching Huang, Jie-Hong R. Jiang

Necessary and Sufficient Conditions for Avoiding Reopenings in Best First Suboptimal Search with General Bounding Functions

Jingwei Chen, Nathan R. Sturtevant

Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization

Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, Andre A. Cire

A SAT-based Resolution of Lam's Problem

Curtis Bright, Kevin K. H. Cheung, Brett Stevens, Ilias Kotsireas, Vijay Ganesh

Learning To Scale Mixed-Integer Programs

Timo Berthold, Gregor Hendel

Counting Maximal Satisfiable Subsets

Jaroslav Bendík, Kuldeep S. Meel

Online Search with Maximum Clearance

Spyros Angelopoulos, Malachi Voss

New Length Dependent Algorithm for Maximum Satisfiability Problem

Vasily Alferov, Ivan Bliznets

ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion

Daoming Zong, Shiliang Sun, Jing Zhao

Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs

Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu

Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps

Qi Zhu, Chenyu Gao, Peng Wang, Qi Wu

Inferring Camouflaged Objects by Texture-Aware Interactive Guidance Network

Jinchao Zhu, Xiaoyu Zhang, Shuo Zhang, Junnan Liu

Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization

Xichuan Zhou, Kui Liu, Cong Shi, Haijun Liu, Ji Liu

Model Uncertainty Guides Visual Object Tracking

Lijun Zhou, Antoine Ledent, Qintao Hu, Ting Liu, Jianlin Zhang

Deep Semantic Dictionary Learning for Multi-label Image Classification

Fengtao Zhou, Sheng Huang, Yun Xing

Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition

Benjia Zhou, Yunan Li, Jun Wan

CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud

Wu Zheng, Weiliang Tang, Sijin Chen, Li Jiang, Chi-Wing Fu

RESA: Recurrent Feature-Shift Aggregator for Lane Detection

Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang

Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification

Kecheng Zheng, Cuiling Lan, Wenjun Zeng, Zhizheng Zhang, Zheng-Jun Zha

Robust Multi-Modality Person Re-identification

Aihua Zheng, Zi Wang, Zihan Chen, Chenglong Li, Jin Tang

Joint Color-irrelevant Consistency Learning and Identity-aware Modality Adaptation for Visible-infrared Cross Modality Person Re-identification

Zhiwei Zhao, Bin Liu, Qi Chu, Yan Lu, Nenghai Yu

Robust Lightweight Facial Expression Recognition Network with Label Distribution Training

Zengqun Zhao, Qingshan Liu, Feng Zhou

ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation

Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao

Context-Guided Adaptive Network for Efficient Human Pose Estimation

lei zhao, Jun Wen, pengfei wang, Nenggan Zheng

Distribution Adaptive INT8 Quantization for Training CNNs

Kang Zhao, Sida Huang, PAN PAN, Yinghan Li, Yingya Zhang

IA-GM: A Deep Bidirectional Learning Method for Graph Matching

Kaixuan Zhao, Shikui Tu, Lei Xu

Learning Flexibly Distributional Representation for Low-quality 3D Face Recognition

Zihui Zhang, Cuican Yu, Shuang Xu, Huibin Li

Depth Privileged Object Detection in Indoor Scenes via Deformation Hallucination

Zhijie Zhang, Yan Liu, Junjie Chen, Li Niu, Liqing Zhang

Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks

Yongshun Zhang, Xiu-Shen Wei, Boyan Zhou, Jianxin Wu

Efficient License Plate Recognition via Holistic Position Attention

Yesheng Zhang, Zilei Wang, Jiafan Zhuang

PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection

Yanan Zhang, Di Huang, Yunhong Wang

Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud

Yachao Zhang, Zonghao Li, Yuan Xie, Yanyun Qu, Cuihua Li

Diverse Knowledge Distillation for End-to-End Person Search

Xinyu Zhang, Xinlong Wang, Jia-Wang Bian, Chunhua Shen, Mingyu You

BoW Pooling: A Plug-and-Play Unit for Feature Aggregation of Point Clouds

Xiang Zhang, Xiao Sun, Zhouhui Lian

Consensus Graph Representation Learning for Better Grounded Image Captioning

Wenqiao Zhang, Haochen Shi, Siliang Tang, Jun Xiao, Qiang Yu

Point Cloud Semantic Scene Completion from RGB-D Images

Shoulong Zhang, Shuai Li, Aimin Hao, Hong Qin

A Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps with Perturbation

Qinglong Zhang, Lu Rao, Yubin Yang

Proactive Privacy-preserving Learning for Retrieval

Peng-Fei Zhang, Zi Huang, Xin-Shun Xu

Unsupervised Domain Adaptation for Person Re-identification via Heterogeneous Graph Alignment

Minying Zhang, Kai Liu, Yidong Li, Shihui Guo, Hongtao Duan

Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning

Jingran Zhang, Xing Xu, Fumin Shen, Huimin Lu, Xin Liu

SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation

Jiabin Zhang, Zheng Zhu, Jiwen Lu, Junjie Huang, Guan Huang

Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation

Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li

One for More: Selecting Generalizable Samples for Generalizable ReID Model

Enwei Zhang, XINYANG JIANG, Hao Cheng, Ancong Wu, Fufu Yu

Visual Tracking via Hierarchical Deep Reinforcement Learning

Dawei Zhang, Zhonglong Zheng, Riheng Jia, Minglu Li

SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition

Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Yi Niu

Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective

Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon

EMLight: Lighting Estimation via Spherical Distribution Approximation

Fangneng Zhan, Changgong Zhang, Yingchen Yu, Yuan Chang, Shijian Lu

Demodalizing Face Recognition with Synthetic Samples

Zhonghua Zhai, Pengju Yang, Xiaofeng Zhang, Maji Huang, Haijing Cheng

StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding

Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao

Learning Visual Context for Group Activity Recognition

Hangjie Yuan, Dong Ni

Simple and Effective Stochastic Neural Networks

Tianyuan Yu, Yongxin Yang, Da Li, Timothy Hospedales, Tao Xiang

Fast and Compact Bilinear Pooling by Shifted Random Maclaurin

Tan Yu, Xiaoyun Li, Ping Li

Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence

Siyue Yu, Bingfeng Zhang, Jimin Xiao, Eng Gee Lim

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks

Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan Yuille

High-Resolution Deep Image Matting

Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi