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  • AAAI 2021 paper list

    2021-02-08 21:45:25
    AAAI2021 accepted papers list 可见paper list 链接 AAAI-21_Accepted-Paper-List.Main_.Technical.Track_.pdf

    AAAI2021 accepted papers list

    可见paper list 链接

    AAAI-21_Accepted-Paper-List.Main_.Technical.Track_.pdf

    展开全文
  • AAAI2021 accepted paper list

    2021-01-19 10:18:22
    AAAI2021 accepted paper list https://aaai.org/Conferences/AAAI-21/wp-content/uploads/2020/12/AAAI-21_Accepted-Paper-List.Main_.Technical.Track_.pdf
    展开全文
  • 编辑: ShuYini 校稿: ShuYini 时间: 2021-01-14 马上春节了,疫情又卷土而来,希望大家注意防护,爱护自己的身体 AAAI 2021论文接收情况 ...据 AAAI 2021官方网站,这个 2021年首个人工智能顶会将全.

    来源:AINLPer微信公众号(点击了解一下吧
    编辑: ShuYini
    校稿: ShuYini
    时间: 2021-01-14

    马上春节了,疫情又卷土而来,希望大家注意防护,爱护自己的身体

    AAAI 2021论文接收情况

      人工智能顶级会议AAAI 2021 已经给出接收论文列表,共有1692篇论文被接收,录取率21%,比去年的20.6%稍微有些上升。单从数量上看,也比去年多了101篇。本届 AAAI 2021已经是第35 届会议了。据 AAAI 2021官方网站,这个 2021年首个人工智能顶会将全程线上举办举办日期为2 月 2 日-2 月 9 日

    下面是AAAI2020接受的论文列表,欢迎大家Ctrl+F进行搜索。

    关注 AINLPer ,回复 AAAI2021 获取会议全部列表PDF

    Multi-Domain Multi-Task Rehearsal for Lifelong Learning
    Fan Lyu, Shuai Wang, Wei Feng, Zihan Ye, Fuyuan Hu, Song Wang

    EfficientDeRain: Learning Pixel-Wise Dilation Filtering for High-Efficiency Single-Image
    Deraining
    Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu, Jianjun Zhao

    Understanding Deformable Alignment in Video Super-Resolution
    Kelvin C.K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy

    A SAT-Based Resolution of Lam’s Problem
    Curtis Bright, Kevin Cheung, Brett Stevens, Ilias Kotsireas, Vijay Ganesh

    Nearest Neighbor Classifier Embedded Network for Active Learning
    Fang Wan, Tianning Yuan, Mengying Fu, Xiangyang Ji, Qingming Huang, Qixiang Ye

    Shape-Pose Ambiguity in Learning 3D Reconstruction from Images
    Yunjie Wu, Zhengxing Sun, Youcheng Song, Yunhan Sun, YiJie Zhong, Jinlong Shi

    Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion
    Model for Turing Instability
    Litu Rout

    Building Interpretable Interaction Trees for Deep NLP Models
    Die Zhang, HuiLin Zhou, Xiaoyi Bao, Da Huo, Ruizhao Chen, Hao Zhang, Xu Cheng, Mengyue Wu,
    Quanshi Zhang

    Revisiting Dominance Pruning in Decoupled Search
    Daniel Gnad

    Meta-Transfer Learning for Low-Resource Abstractive Summarization
    Yi-Syuan Chen, Hong-Han Shuai

    Structured Co-Reference Graph Attention for Video-Grounded Dialogue
    Junyeong Kim, Sunjae Yoon, DaHyun Kim, Chang D. Yoo

    Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction
    Chunmei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao

    Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component
    Analysis and Graph Neural Network
    Seunghyun Lee, Byung Cheol Song

    NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem
    Jiejiang Chen, Shaowei Cai, Shiwei Pan, Yiyuan Wang, Qingwei Lin, Mengyu Zhao, Minghao Yin

    MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation
    Yu Qiu, Yun Liu, Shijie Li, Jing Xu

    AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing
    Qi Song, Kangfu Mei, Rui Huang

    Learning to Copy Coherent Knowledge for Response Generation
    Jiaqi Bai, Ze Yang, Xinnian Liang, Wei Wang, Zhoujun Li

    PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-Order Feature
    Learning
    Yuan Luo, Chengsheng Mao

    Knowledge Refactoring for Inductive Program Synthesis
    Sebastijan Dumancic, Tias Guns, Andrew Cropper

    LCollision: Fast Generation of Collision-Free Human Poses Using Learned Non-Penetration
    Constraints
    Qingyang Tan, Zherong Pan, Dinesh Manocha

    Incremental Embedding Learning via Zero-Shot Translation
    Kun Wei, Cheng Deng, Xu Yang, Maosen Li

    Weakly-Supervised Temporal Action Localization by Uncertainty Modeling
    Pilhyeon Lee, Jinglu Wang, Yan Lu, Hyeran Byun

    CAKES: Channel-Wise Automatic Kernel Shrinking for Efficient 3D Networks
    Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan Yuille

    Landmark Generation in HTN Planning
    Daniel Höller, Pascal T Bercher

    On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems
    Ting-Jui Chang, Shahin Shahrampour

    Ethical Dilemmas in Strategic Games
    Pavel Naumov, Rui-Jie Yew

    Comprehension and Knowledge
    Pavel Naumov, Kevin Ros

    Epistemic Logic of Know-Who
    Sophia Epstein, Pavel Naumov

    Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting
    Amirreza Farnoosh, Bahar Azari, Sarah Ostadabbas

    Treatment Effect Estimation with Disentangled Latent Factors
    Weijia Zhang, Lin Liu, Jiuyong Li

    Exploration via State Influence Modeling
    Yongxin Kang, Enmin Zhao, Kai Li, Junliang Xing

    How to Train Your Agent to Read and Write
    Li Liu, Mengge He, Guanghui Xu, Mingkui Tan, Qi Wu

    Why Do Attributes Propagate in Graph Convolutional Neural Networks?
    Liang Yang, Chuan Wang, Junhua Gu, Xiaochun Cao, Bingxin Niu

    Learning Modulated Loss for Rotated Object Detection
    Wen Qian, Xue Yang, Silong Peng, Junchi Yan, Yue Guo

    Spatiotemporal Graph Neural Network Based Mask Reconstruction for Video Object
    Segmentation
    Daizong Liu, Shuangjie Xu, Xiao-Yang Liu, Zichuan Xu, Wei Wei, Pan Zhou

    Multi-Task Learning by Leveraging the Semantic Information
    Fan Zhou, Brahim Chaib-draa, Boyu Wang

    F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation
    Daizong Liu, Dongdong Yu, Changhu Wang, Pan Zhou

    Learning to Count via Unbalanced Optimal Transport
    Zhiheng Ma, Xing Wei, Xiaopeng Hong, Hui Lin, Yunfeng Qiu, Yihong Gong

    Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd
    Counting
    Yuhang He, Zhiheng Ma, Xing Wei, Xiaopeng Hong, Wei Ke, Yihong Gong

    MangaGAN: Unpaired Photo-to-Manga Translation Based on the Methodology of Manga
    Drawing
    Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Jiahe Cui, Ji Wan

    Rain Streak Removal via Dual Graph Convolutional Network
    Xueyang Fu, Qi Qi, Yurui Zhu, Xinghao Ding, Zheng-Jun Zha

    RevMan: Revenue-Aware Multi-Task Online Insurance Recommendation
    Yu Li, Yi Zhang, Lu Gan, GengWei Hong, Zimu Zhou, Qiang Li

    Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature
    Adaptors
    Su Lu, Han-Jia Ye, De-Chuan Zhan

    Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware
    Topic Modeling
    Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi
    Zhang, Xuanjing Huang, Xiaozhong Liu

    Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds
    Jingyu Gong, Jiachen Xu, Xin Tan, Jie Zhou, Yanyun Qu, Yuan Xie, Lizhuang Ma

    Task Aligned Generative Meta-Learning for Zero-Shot Learning
    Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long

    When Hashing Met Matching: Efficient Spatio-Temporal Search for Ridesharing
    Chinmoy Dutta

    SHOT-VAE: Semi-Supervised Deep Generative Models with Label-Aware ELBO Approximations
    Haozhe Feng, Minghao Chen, Minfeng Zhu, Kezhi Kong, Tianye Zhang, Wei Chen

    Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease
    Identification
    Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao

    Asynchronous Teacher Guided Bit-wise Hard Mining for Online Hashing
    Sheng Jin, Qin Zhou, Hongxun Yao, Yao Liu, Xian-Sheng Hua

    Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating
    Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang

    Detecting Beneficial Feature Interactions for Recommender Systems
    Yixin Su, Rui Zhang, Sarah Erfani, Zhenghua Xu

    Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval
    Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia

    Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment

    Mengying Fu, Tianning Yuan, Fang Wan, Songcen Xu, Qixiang Ye

    Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision
    Activation Quantization
    Xichuan Zhou, Kui Liu, Cong Shi, Haijun Liu, Ji Liu

    A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry
    Yao Lu, Xiaoli Xu, Mingyu Ding, Zhiwu Lu, Tao Xiang

    Traffic Flow Prediction with Vehicle Trajectories
    Mingqian Li, Panrong Tong, Mo Li, Zhongming Jin, Jianqiang Huang, Xian-Sheng Hua

    Camera-Aware Proxies for Unsupervised Person Re-Identification
    Menglin Wang, Baisheng Lai, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua

    Large Norms of CNN Layers Do Not Hurt Adversarial Robustness
    Youwei Liang, Dong Huang

    CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud
    Wu Zheng, Weiliang Tang, Sijin Chen, Li Jiang, Chi-Wing Fu

    How Does Data Augmentation Affect Privacy in Machine Learning?
    Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

    Achieving Envy-Freeness and Equitability with Monetary Transfers
    Haris Aziz

    R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object
    Xue Yang, Junchi Yan, Ziming Feng, Tao He

    EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding
    Jiaoyang Li, Wheeler Ruml, Sven Koenig

    Fine-Grained Generalization Analysis of Vector-Valued Learning
    Liang Wu, Antoine Ledent, Yunwen Lei, Marius Kloft

    Hand-Model-Aware Sign Language Recognition
    Hezhen Hu, Wengang Zhou, Houqiang Li

    Endomorphisms of Classical Planning Tasks
    Rostislav Horčík, Daniel Fišer

    TransTailor: Pruning the Pre-Trained Model for Improved Transfer Learning
    Bingyan Liu, Yifeng Cai, Yao Guo, Xiangqun Chen

    Dual Quaternion Knowledge Graph Embeddings
    Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

    Defending against Contagious Attacks on a Network with Resource Reallocation
    Rufan Bai, Haoxing Lin, Xinyu Yang, Xiaowei Wu, Minming Li, Weijia Jia

    Robust Model Compression Using Deep Hypotheses
    Omri Armstrong, Ran Gilad-Bachrach

    Semi-Supervised Metric Learning: A Deep Resurrection
    Ujjal Kr Dutta, Mehrtash Harandi, C Chandra Shekhar

    Non-Autoregressive Coarse-to-Fine Video Captioning
    Bang Yang, Yuexian Zou, Fenglin Liu, Can Zhang

    Explicitly Modeled Attention Maps for Image Classification
    Andong Tan, Duc Tam Nguyen, Dax Maximillian, Matthias Niessner, Thomas Brox

    Representative Proxy Voting
    Elliot Anshelevich, Zack Fitzsimmons, Rohit Vaish, Lirong Xia

    Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-Modality
    Attention
    Zhiqi Huang, Fenglin Liu, Xian Wu, Shen Ge, Helin Wang, Wei Fan, Yuexian Zou

    Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation
    Bo Pang, Zhong-Ping Jiang

    High-Resolution Deep Image Matting
    Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi

    Any-Precision Deep Neural Networks
    Haichao Yu, Haoxiang Li, Humphrey Shi, Thomas Huang, Gang Hua

    Regret Bounds for Batched Bandits
    Hossein Esfandiari, Amin Karbasi, Abbas Mehrabian, Vahab Mirrokni

    Sample Selection for Universal Domain Adaptation
    Omri Lifshitz, Lior Wolf

    Bayesian Distributional Policy Gradients
    Luchen Li, Aldo A Faisal

    SMIL: Multimodal Learning with Severely Missing Modality
    Mengmeng Ma, Jian Ren, Long Zhao, Sergey Tulyakov, Cathy Wu, Xi Peng

    FedRec++: Lossless Federated Recommendation with Explicit Feedback
    Feng Liang, Weike Pan, Zhong Ming

    UAG: Uncertainty-Aware Attention Graph Neural Network for Defending Adversarial Attacks
    Boyuan Feng, Yuke Wang, Yufei Ding

    Self-Supervised Bilingual Syntactic Alignment for Neural Machine Translation
    Tianfu Zhang, Heyan Huang, Chong Feng, Longbing Cao

    Addressing Domain Gap via Content Invariant Representation for Semantic Segmentation
    Li Gao, Lefei Zhang, Qian Zhang

    Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations
    Alex Wong, Mukund Mundhra, Stefano Soatto

    Deep Metric Learning with Self-Supervised Ranking
    Zheren Fu, Yan Li, Zhendong Mao, Quan Wang, Yongdong Zhang

    Learning from Noisy Labels with Complementary Loss Functions
    Deng-Bao Wang, Yong Wen, Lujia Pan, Min-Ling Zhang

    Context-Guided Adaptive Network for Efficient Human Pose Estimation
    Lei Zhao, Jun Wen, Pengfei Wang, Nenggan Zheng

    Context-Aware Graph Convolution Network for Target Re-Identification
    Deyi Ji, Haoran Wang, Hanzhe Hu, Weihao Gan, Wei Wu, Junjie Yan

    Adaptive Knowledge Driven Regularization for Deep Neural Networks
    Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang

    On the Approximation of Nash Equilibria in Sparse Win-Lose Multi-Player Games
    Zhengyang Liu, Jiawei Li, Xiaotie Deng

    Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware
    Auto-Encoders
    Yicheng Zou, Jun Lin, Lujun Zhao, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Qi Zhang,
    Xuanjing Huang, Xiaozhong Liu

    Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the
    Network Collapse
    Yuxiang Liu, Jidong Ge, Chuanyi Li, Jie Gui

    Empirical Regularization for Synthetic Sentence Pairs in Unsupervised Neural Machine
    Translation

    Xi Ai, Bin Fang

    Learning Intact Features by Erasing-Inpainting for Few-Shot Classification
    Junjie Li, Zilei Wang, Xiaoming Hu

    Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff
    Jiawei Liu, Zhe Gao, Yangyang Kang, Zhuoren Jiang, Guoxiu He, Changlong Sun, Xiaozhong Liu, Wei
    Lu

    Lifelong Multi-Agent Path Finding in Large-Scale Warehouses
    Jiaoyang Li, Andrew Tinka, Scott Kiesel, Joseph W Durham, T. K. Satish Kumar, Sven Koenig

    Learning to Purify Noisy Labels via Meta Soft Label Corrector
    Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng

    Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer
    Networks
    Hao Fei, Fei Li, Bobo Li, Yijiang Liu, Yafeng Ren, Donghong Ji

    Graph and Temporal Convolutional Network for Spatio-Temporal 3D Multi-Person Pose
    Estimation in Monocular Videos
    Yu Cheng, Bo Wang, Bo Yang, Robby T. Tan

    PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by
    Knowledge Distillation with Contrastive Learning
    Qin Wang, Boyuan Wang, Zhenlei Xu, Jiaxiang Wu, Peilin Zhao, Zhen Li, Sheng Wang, Junzhou
    Huang, Shuguang Cui

    Learning to Attack Real-World Models for Person Re-Identification via Virtual-Guided MetaLearning
    Fengxiang Yang, Zhun Zhong, Hong Liu, Zheng Wang, Zhiming Luo, Shaozi Li, Nicu Sebe, Shin’ichi
    Satoh

    Efficient License Plate Recognition via Holistic Position Attention
    Yesheng Zhang, Zilei Wang, Jiafan Zhuang

    Stability and Generalization for Decentralized Stochastic Gradient Descent
    Tao Sun, Dongsheng Li, Bao Wang

    Domain General Face Forgery Detection by Learning to Weight
    Ke Sun, Hong Liu, Qixiang Ye, Yue Gao, Jianzhuang Liu, Ling Shao, Rongrong Ji

    Fast and Compact Bilinear Pooling by Shifted Random Maclaurin
    Tan Yu, Xiaoyun Li, Ping Li

    Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors
    from Scene Completion
    Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, Shuguang Cui

    Social-DPF: Socially Acceptable Distribution Prediction of Futures
    Xiaodan Shi, Xiaowei Shao, Guangming Wu, Haoran Zhang, Zhiling Guo, Renhe Jiang, Ryosuke
    Shibasaki

    Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization
    Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura

    Graph Heterogeneous Multi-Relational Recommendation
    Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu,
    Shaoping Ma

    Semi-Supervised Medical Image Segmentation through Dual-Task Consistency
    Xiangde Luo, Jieneng Chen, Tao Song, Guotai Wang

    Interpreting Neural Networks as Quantitative Argumentation Frameworks
    Nico Potyka

    Inferring Camouflage Objects by Texture-Aware Interactive Guidance Network
    Jinchao Zhu, Xiaoyu Zhang, Shuo Zhang, Junnan Liu

    Parallel Constraint Acquisition
    Nadjib Lazaar

    Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation
    Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang

    PTN: A Poisson Transfer Network for Semi-Supervised Few-Shot Learning
    Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu

    Beating Attackers at Their Own Games: Adversarial Example Detection Using Adversarial
    Gradient Directions
    Yuhang Wu, Sunpreet S Arora, Yanhong Wu, Hao Yang

    Contrastive Triple Extraction with Generative Transformer
    Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen

    Revealing Hidden Preconditions and Effects of Compound HTN Planning Tasks – A Complexity
    Analysis
    Conny Olz, Susanne Biundo, Pascal T Bercher

    Scalable First-Order Methods for Robust MDPs
    Julien Grand Clement, Christian Kroer

    Justicia: A Stochastic SAT Approach to Formally Verify Fairness
    Bishwamittra Ghosh, Debabrota Basu, Kuldeep S Meel

    Multi-Level Distance Regularization for Deep Metric Learning
    Yonghyun Kim, Wonpyo Park

    Semantics Altering Modifications for Evaluating Comprehension in Machine Reading
    Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro

    Exploring Transfer Learning for End-to-End Spoken Language Understanding
    Subendhu Rongali, Beiye Liu, Liwei Cai, Konstantine Arkoudas, Chengwei Su, Wael Hamza

    A General Setting for Gradual Semantics Dealing with Similarity
    Leila Amgoud, Victor David

    Maintenance of Social Commitments in Multiagent Systems
    Pankaj Telang, Munindar Singh, Neil Yorke-Smith

    Teacher Guided Neural Architecture Search for Face Recognition
    Xiaobo Wang

    Initiative Defense against Facial Manipulation
    Qidong Huang, Wenbo Zhou, Jie Zhang, Weiming Zhang, Nenghai Yu

    Very Important Person Localization in Unconstrained Conditions: A New Benchmark
    Xiao Wang, Zheng Wang, Toshihiko Yamasaki, Wenjun Zeng

    Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models
    Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George

    Step-Ahead Error Feedback for Distributed Training with Compressed Gradient
    An Xu, Zhouyuan Huo, Heng Huang

    RpBERT: A Text-Image Relation Propagation-Based BERT Model for Multimodal NER
    Lin Sun, Jiquan Wang, Kai Zhang, Yindu Su, Fangsheng Weng

    Solution Concepts in Hierarchical Games under Bounded Rationality with Applications to
    Autonomous Driving
    Atrisha Sarkar, Krzysztof Czarnecki

    Evolution Strategies for Approximate Solution of Bayesian Games
    Zun Li, Michael Wellman

    LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection
    Kai Jiang, Weiying Xie, Jie Lei, Tao Jiang, Yunsong Li

    Contrastive Transformation for Self-Supervised Correspondence Learning
    Ning Wang, Wengang Zhou, Houqiang Li

    Model Uncertainty Guides Visual Object Tracking
    Lijun Zhou, Antoine Ledent, Qintao Hu, Ting Liu, Jianlin Zhang, Marius Kloft

    RSGNet: Relation Based Skeleton Graph Network for Crowded Scenes Pose Estimation
    Yan Dai, Xuanhan Wang, Jingkuan Song, Lianli Gao, Heng Tao Shen

    Adversarial Pose Regression Network for Pose-Invariant Face Recognitions
    Pengyu Li, Biao Wang, Lei Zhang

    MIEHDR CNN: Main Image Enhancement Based Ghost-Free High Dynamic Range Imaging
    Using Dual-Lens Systems
    Xuan Dong, Xiaoyan Hu, Weixin Li, Xiaojie Wang, Yunhong Wang

    Time-Independent Planning for Multiple Moving Agents
    Keisuke Okumura, Yasumasa Tamura, Xavier Defago

    MeInGame: Create a Game Character Face from a Single Portrait
    Jiangke Lin, Yi Yuan, Zhengxia Zou

    The Price of Connectivity in Fair Division
    Xiaohui Bei, Ayumi Igarashi, Xinhang Lu, Warut Suksompong

    Hierarchical Multiple Kernel Clustering
    Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, Yuexiang Yang

    Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing
    Zhihong Chen, Taiping Yao, Kekai Sheng, Shouhong Ding, Ying Tai, Jilin Li, Feiyue Huang, Xinyu Jin

    Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks
    Yuhang Yao, Carlee Joe-Wong

    Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent
    Label Noise
    Pengfei Chen, JunJie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng

    FaceController: Controllable Attribute Editing for Face in the Wild
    Zhiliang Xu, Xiyu Yu, Zhibin Hong, Zhen Zhu, Junyu Han, Jingtuo Liu, Errui Ding, Xiang Bai

    Diffusion Network Inference from Partial Observations
    Ting Gan, Keqi Han, Hao Huang, Shi Ying, Yunjun Gao, Zongpeng Li

    SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition
    Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Fei Wu, Futai Zou

    High-Dimensional Bayesian Optimization via Tree-Structured Additive Models
    Eric LW Han, Ishank Arora, Jonathan Scarlett

    Split then Refine: Stacked Attention-Guided ResUNets for Blind Single Image Visible
    Watermark Removal
    Xiaodong Cun, Chi-Man Pun

    SARG: A Novel Semi Autoregressive Generator for Multi-Turn Incomplete Utterance
    Restoration
    Mengzuo Huang, Feng Li, Wuhe Zou, Weidong Zhang

    DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural
    Networks from Scratch
    Xiaofeng Ruan, Yufan Liu, Bing Li, Chunfeng Yuan, Weiming Hu

    Boosting Image-Based Mutual Gaze Detection Using Pseudo 3D Gaze
    Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli, Xuhui Jia, Yukun Zhu, Bradley Green

    Partially Non-Autoregressive Image Captioning
    Zhengcong Fei

    MANGO: A Mask Attention Guided One-Stage Scene Text Spotter
    Liang Qiao, Ying Chen, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu

    Augmenting Policy Learning with Routines Discovered from a Single Demonstration
    Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua Tenenbaum

    Protecting the Protected Group: Circumventing Harmful Fairness
    Omer Ben-Porat, Moshe Tennenholtz, Fedor Sandomirskiy

    RGB-D Salient Object Detection via 3D Convolutional Neural Networks
    Qian Chen, Ze Liu, Yi Zhang, Keren Fu, Qijun Zhao, Hongwei Du

    Probing Product Description Generation via Posterior Distillation
    Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan,
    Yanyan Lan

    Evidence Inference Networks for Interpretable Claim Verification
    Lianwei Wu, Yuan Rao, Ling Sun, Wangbo He

    Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning
    Yifang Yin, Harsh Shrivastava, Ying Zhang, Zhenguang Liu, Rajiv Ratn Shah, Roger Zimmermann

    In-Game Residential Home Planning via Visual Context-Aware Global Relation Learning
    Lijuan Liu, Yin Yang, Yi Yuan, Tianjia Shao, He E Wang, Kun Zhou

    Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation
    Chenxin Xu, Siheng Chen, Maosen Li, Ya Zhang

    One-Shot Face Reenactment Using Appearance Adaptive Normalization
    Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou

    Dividing a Graphical Cake
    Xiaohui Bei, Warut Suksompong

    Differentially Private Stochastic Coordinate Descent
    Georgios Damaskinos, Celestine Mendler-Dünner, Rachid Guerraoui, Nikolaos Papandreou,
    Thomas Parnell

    Few-Shot Lifelong Learning
    Pratik Mazumder, Pravendra Singh, Piyush Rai

    Positions, Channels, and Layers: Fully Generalized Non-Local Network for Singer Identification
    I-Yuan Kuo, Wen-Li Wei, Jen-Chun Lin

    Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning
    Feng Lin, Haohang Xu, Houqiang Li, Hongkai Xiong, Guo-Jun Qi

    Conditional Inference under Disjunctive Rationality
    Richard Booth, Ivan J Varzinczak

    Object-Centric Image Generation from Layouts
    Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R Devon Hjelm, Shikhar Sharma

    Matching on Sets: Conquer Occluded Person Re-Identification Without Alignment
    Mengxi Jia, Xinhua Cheng, Yunpeng Zhai, Shijian Lu, Siwei Ma, Yonghong Tian, Jian Zhang

    Verifiable Machine Ethics in Changing Contexts
    Louise A Dennis, Martin Bentzen, Felix Lindner, Michael Fisher

    Exploiting Relationship for Complex-Scene Image Generation
    Tianyu Hua, Hongdong Zheng, Yalong Bai, Wei Zhang, Xiao-Ping Zhang, Tao Mei

    Pragmatic Code Autocomplete
    Gabriel Poesia Reis e Silva, Noah Goodman

    Confidence-Aware Non-Repetitive Multimodal Transformers for TextCaps
    Zhaokai Wang, Renda Bao, Qi Wu, Si Liu

    Partial Is Better Than All: Revisiting Fine-Tuning Strategy for Few-Shot Learning
    Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng

    PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs
    Zhengyang Shen, Tiancheng Shen, Zhouchen Lin, Jinwen Ma

    OPQ: Compressing Deep Neural Networks with One-Shot Pruning-Quantization
    Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin

    Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel
    Decoding
    Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan

    Knowledge-Driven Data Construction for Zero-Shot Evaluation in Commonsense Question
    Answering
    Kaixin Ma, Filip Ilievski, Jonathan M Francis, Yonatan Bisk, Eric Nyberg, Alessandro Oltramari

    Characterizing the Loss Landscape in Non-Negative Matrix Factorization
    Johan Björck, Anmol Kabra, Kilian Weinberger, Carla P Gomes

    TabNet: Attentive Interpretable Tabular Learning
    Sercan O. Arik, Tomas Pfister

    New Length Dependent Algorithm for Maximum Satisfiability Problem
    Vasily Alferov, Ivan Bliznets

    Copy That! Editing Sequences by Copying Spans
    Sheena L Panthaplackel, Miltiadis Allamanis, Marc Brockschmidt

    Dynamic Gaussian Mixture Based Deep Generative Model for Robust Forecasting on Sparse
    Multivariate Time Series
    Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao
    Zhang, Haifeng Chen, Susan B Davidson

    Subtype-Aware Unsupervised Domain Adaptation for Medical Diagnosis
    Xiaofeng Liu, Xiongchang Liu, Wenxuan Ji, Bo Hu, Fangxu Xing, Jun Lu, Jane You, C.-C. Jay Kuo,
    Georges El Fakhri, Jonghye Woo

    Welfare Guarantees in Schelling Segregation
    Martin Bullinger, Warut Suksompong, Alexandros Voudouris

    Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative
    Models
    Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio

    Learning with Retrospection
    Xiang Deng, Zhongfei Zhang

    RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile
    Devices
    Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia
    Liu, Xue Lin, Bin Ren

    BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
    Colin White, Willie Neiswanger, Yash Savani

    SnapMix: Semantically Proportional Mixing for Augmenting Fine-Grained Data
    Shaoli Huang, Xinchao Wang, Dacheng Tao

    Clustering Ensemble Meets Low-Rank Tensor Approximation
    Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang

    Learning Hybrid Relationships for Person Re-Identification
    Shuang Liu, Wenmin Huang, Zhong Zhang

    Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM
    Jianzhu Huai, Yukai Lin, Yuan Zhuang, Min Shi

    Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning
    Huiling Qin, Songyu Ke, Xiaodu Yang, Haoran Xu, Xianyuan Zhan, Yu Zheng

    Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster
    Zhiqin John Xu, Hanxu Zhou

    Scalable Affinity Propagation for Massive Datasets
    Hiroaki Shiokawa

    Self-Supervised Attention-Aware Reinforcement Learning
    Haiping Wu, Khimya Khetarpal, Doina Precup

    A Fast Exact Algorithm for the Resource Constrained Shortest Path Problem
    Saman Ahmadi, Guido Tack, Daniel Harabor, Philip Kilby

    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, Pengfei Xu, Trevor Darrell, Kurt Keutzer

    CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation
    Yang Fu, Linjie Yang, Ding Liu, Thomas Huang, Humphrey Shi

    Flow-Based Generative Models for Learning Manifold to Manifold Mappings
    Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh

    BoW Pooling: A Plug-and-Play Unit for Feature Aggregation of Point Clouds
    Xiang Zhang, Xiao Sun, Zhouhui Lian

    Hierarchical Reinforcement Learning for Integrated Recommendation
    Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin

    Proactive Privacy-Preserving Learning for Retrieval
    Peng-Fei Zhang, Zi Huang, Xin-Shun Xu

    Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud
    Yachao Zhang, Zonghao Li, Yuan Xie, Yanyun Qu, Li Cui-hua, Tao Mei

    Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling
    Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, Hui Xiong

    DeepDT: Learning Geometry from Delaunay Triangulation for Surface Reconstruction
    Yiming Luo, Zhenxing Mi, Wenbing Tao

    Disentangled Information Bottleneck
    Ziqi Pan, Li Niu, Jianfu Zhang, Liqing Zhang

    GIF Thumbnails: Attract More Clicks to Your Videos
    Yi Xu, Fan Bai, Yingxuan Shi, Qiuyu Chen, Longwen Gao, Kai Tian, Shuigeng Zhou, Huyang Sun

    An Improved Upper Bound for SAT
    Huairui Chu, Mingyu Xiao, Zhe Zhang

    Towards More Practical and Efficient Automatic Dominance Breaking
    Jimmy H.M. Lee, Allen Z. W. Zhong

    Who You Would Like to Share With? A Study of Share Recommendation in Social ECommerce
    Houye Ji, Junxiong Zhu, Xiao Wang, Chuan Shi, Bai Wang, Xiaoye Tan, Yanghua Li, Shaojian He

    Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation
    Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin

    SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation
    Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji

    TDAF: Top-Down Attention Framework for Vision Tasks
    Bo Pang, Yizhuo Li, Jiefeng Li, Muchen Li, Hanwen Cao, Cewu Lu

    A Spatial Regulated Patch-Wise Approach for Cervical Dysplasia Diagnosis
    Ying Zhang, Yifang Yin, Zhenguang Liu, Roger Zimmermann

    Reinforced History Backtracking for Conversational Question Answering
    Minghui Qiu, Xinjing Huang, Cen Chen, Feng Ji, Chen Qu, Wei Wei, Jun Huang, Yin Zhang

    Compressing Deep Convolutional Neural Networks by Stacking Low-Dimensional Binary
    Convolution Filters
    Weichao Lan, Liang Lan

    Model-Agnostic Fits for Understanding Information Seeking Patterns in Humans
    Soumya Chatterjee, Pradeep Shenoy

    Generalising without Forgetting for Lifelong Person Re-Identification
    Guile Wu, Shaogang Gong

    Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning
    Geonmo Gu, Byungsoo Ko, Han-Gyu Kim

    Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation
    Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin

    Question-Driven Span Labeling Model for Aspect–Opinion Pair Extraction
    Lei Gao, Yulong Wang, Tongcun Liu, Jingyu Wang, Lei Zhang, Jianxin Liao

    A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments
    Yu-Hang Zhou, Peng Hu, Chen Liang, Huan Xu, Guangda Huzhang, Yinfu Feng, Qing Da, XInshang
    Wang, An-Xiang Zeng

    Semi-Supervised Knowledge Amalgamation for Sequence Classification
    Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke Rundensteiner

    Scalable Verification of Quantized Neural Networks
    Thomas Henzinger, Mathias Lechner, Djordje Zikelic

    Deep Metric Learning with Graph Consistency
    Binghui Chen, Pengyu Li, Zhaoyi Yan, Biao Wang, Lei Zhang

    Living without Beth and Craig: Definitions and Interpolants in Description Logics with
    Nominals and Role Inclusions
    Alessandro Artale, Jean Jung, Andrea Mazzullo, Ana Ozaki, Frank Wolter

    HR-Depth : High Resolution Self-Supervised Monocular Depth Estimation
    Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan

    Pyramidal Feature Shrinking for Salient Object Detection
    Mingcan Ma, Changqun Xia, Jia Li

    Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in
    Transformer Network
    Jiayi Ji, Yunpeng Luo, Xiaoshuai Sun, Fuhai Chen, Gen Luo, Yongjian Wu, Yue Gao, Rongrong Ji

    Enhancing Balanced Graph Edge Partition with Effective Local Search
    Zhenyu Guo, Mingyu Xiao, Yi Zhou, Dongxiang Zhang, Kian-Lee Tan

    A Bayesian Approach for Subset Selection in Contextual Bandits
    Jialian Li, Chao Du, Jun Zhu

    Object Relation Attention for Image Paragraph Captioning
    Li-Chuan Yang, Chih-Yuan Yang, Jane Yung-jen Hsu

    Fair and Truthful Mechanisms for Dichotomous Valuations
    Moshe Babaioff, Tomer Ezra, Uriel Feige

    Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem
    Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao

    Contrastive Clustering
    Yunfan Li, Peng Hu, Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng

    Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination
    Minglong Li, Zhongxuan Cai, Wenjing Yang, Lixia Wu, Yinghui Xu, Ji Wang

    GoT: a Growing Tree Model for Clustering Ensemble
    Feijiang Li, Yuhua Qian, Jieting Wang

    Searching for Alignment in Face Recognition
    Xiaqing Xu, Qiang Meng, Yunxiao Qin, Jianzhu Guo, Chenxu Zhao, Feng Zhou, Zhen Lei

    Attentive Neural Point Processes for Event Forecasting
    Yulong Gu

    GRASP: Generic Framework for Health Status Representation Learning Based on
    Incorporating Knowledge from Similar Patients
    Chaohe Zhang, Xin Gao, Liantao Ma, Yasha Wang, Jiangtao Wang, Wen Tang

    Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking
    Irrelevant Objects Helps Grounding
    Dexin Wang, Deyi Xiong

    Class-Incremental Instance Segmentation via Multi-Teacher Networks
    Yanan Gu, Cheng Deng, Kun Wei

    Dynamically Grown Generative Adversarial Networks
    Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto

    Few-Shot Font Generation with Localized Style Representations and Factorization
    Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim

    ACT: An Attentive Convolutional Transformer for Efficient Text Classification
    Pengfei Li, Peixiang Zhong, Kezhi Mao, Dongzhe Wang, Xuefeng Yang, Yunfeng Liu, Jianxiong
    (Terry) Yin, Simon See

    Generalized Zero-Shot Learning via Disentangled Representation
    Xiangyu Li, Zhe Xu, Kun Wei, Cheng Deng

    Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse
    Matrices
    Luo Luo, Cheng Chen, Guangzeng Xie, Haishan Ye

    Narrative Plan Generation with Self-Supervised Learning
    Mihai Polceanu, Julie Porteous, Alan Lindsay, Marc Cavazza

    Action Candidate Based Clipped Double Q-Learning for Discrete and Continuous Action Tasks
    Haobo Jiang, Jin Xie, Jian Yang

    Self-Supervised Sketch-to-Image Synthesis
    Bingchen A Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal

    The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an
    Ordinary Differential Equation Recurrent Neural Network
    Zijian Shi, Yu Chen, John Cartlidge

    TIME: Text and Image Mutual-Translation Adversarial Networks
    Bingchen A Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal

    DIBS: Diversity Inducing Information Bottleneck in Model Ensembles
    Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian
    Shkurti

    Simple or Complex? Learning to Predict Readability of Bengali Texts
    Susmoy Chakraborty, Mir Tafseer Nayeem, Wasi U Ahmad

    Type-Augmented Relation Prediction in Knowledge Graphs
    Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji

    Forming Better Stable Solutions in Group Formation Games Inspired by Internet Exchange
    Points (IXPs)
    Elliot Anshelevich, Wennan Zhu

    Learning of Structurally Unambiguous Probabilistic Grammars
    Dolav Nitay, Dana Fisman, Michal Ziv-Ukelson

    Automatic Generation of Flexible Plans via Diverse Temporal Planning
    Yotam Amitai, Ayal Taitler, Erez Karpas

    Physarum Powered Differentiable Linear Programming Layers and Applications
    Zihang Meng, Sathya Ravi, Vikas Singh

    Neural Sentence Ordering Based on Constraint Graphs
    Yutao Zhu, Kun Zhou, Jian-Yun Nie, Shengchao Liu, Zhicheng Dou

    Federated Multi-Armed Bandits
    Chengshuai Shi, Cong Shen

    Encoder-Decoder Based Unified Semantic Role Labeling with Label-Aware Syntax
    Hao Fei, Fei Li, Bobo Li, Donghong Ji

    Uncertainty Quantification in CNN through the Bootstrap of Convex Neural Networks
    Hongfei Du, Emre Barut, Fang Jin

    Temporal Relational Modeling with Self-Supervision for Action Segmentation
    Dong Wang, Di Hu, Xingjian Li, Dejing Dou

    Differentially Private and Communication Efficient Collaborative Learning
    Jiahao Ding, Guannan Liang, Jinbo Bi, Miao Pan

    Debiasing Evaluations That Are Biased by Evaluations
    Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar Shah

    Contrastive Adversarial Learning for Person Independent Facial Emotion Recognition
    Daeha Kim, Byung Cheol Song

    Self-Supervised Pre-Training and Contrastive Representation Learning for Multiple-Choice
    Video QA
    Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak

    往期回顾

    重磅!「自然语言处理(NLP)」全球学术界”巨佬“信息大盘点(一)!
    重磅!「自然语言处理(NLP)」全球学术界”巨佬“信息大盘点(二)!
    重磅!「自然语言处理(NLP)」全球学术界”巨佬“信息大盘点(三)!
    【AAAI 2020】全部接受论文列表(一)
    【AAAI 2020】全部接受论文列表(二)
    【AAAI 2020】全部接受论文列表(三)
    【AAAI 2020】全部接受论文列表(四)
    【AAAI 2020】全部接受论文列表(五)
    【AAAI 2020】全部接受论文列表(六)

    展开全文
  • 编辑: ShuYini 校稿: ShuYini 时间: 2021-01-14 马上春节了,疫情又卷土而来,希望大家注意防护,爱护自己的身体 AAAI 2021论文接收情况 ...据 AAAI 2021官方网站,这个 2021年首个人工智能顶会将全.

    来源:AINLPer微信公众号(点击了解一下吧
    编辑: ShuYini
    校稿: ShuYini
    时间: 2021-01-14

    马上春节了,疫情又卷土而来,希望大家注意防护,爱护自己的身体

    AAAI 2021论文接收情况

      人工智能顶级会议AAAI 2021 已经给出接收论文列表,共有1692篇论文被接收,录取率21%,比去年的20.6%稍微有些上升。单从数量上看,也比去年多了101篇。本届 AAAI 2021已经是第35 届会议了。据 AAAI 2021官方网站,这个 2021年首个人工智能顶会将全程线上举办举办日期为2 月 2 日-2 月 9 日

    下面是AAAI2020接受的论文列表,欢迎大家Ctrl+F进行搜索。

    关注 AINLPer ,回复 AAAI2021 获取会议全部列表PDF

    Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
    Ailin Deng, Bryan Hooi

    Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders
    Bhushan Kotnis, Carolin Lawrence, Mathias Niepert

    Neural Relational Inference with Efficient Message Passing Mechanisms
    Siyuan Chen, Jiahai Wang, Guoqing Li

    Toward Understanding the Influence of Individual Clients in Federated Learning
    Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lyu, Fan Wu, Guihai Chen

    Edge-Competing Pathological Liver Vessel Segmentation with Limited Labels
    Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan
    Wang, Mingli Song

    A Simple Framework for Cognitive Planning
    Jorge Fernandez, Dominique Longin, Emiliano Lorini, Frédéric Maris

    Symbolic Search for Optimal Total-Order HTN Planning
    Gregor Behnke, David Speck

    How Linguistically Fair Are Multilingual Pre-Trained Language Models?
    Monojit Choudhury, Amit Deshpande

    Objective-Based Hierarchical Clustering of Deep Embedding Vectors
    Dmitrii Avdiukhin, Stanislav Naumov, Grigory Yaroslavtsev

    Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation
    Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun

    Deep Graph Spectral Evolution Networks for Graph Topological Evolution
    Negar Etemadyrad, Qingzhe Li, Liang Zhao

    Reinforcement Learning with Trajectory Feedback
    Yonathan Efroni, Nadav Merlis, Shie Mannor

    Knowledge-Guided Object Discovery with Acquired Deep Impressions
    Jinyang Yuan, Bin Li, Xiangyang Xue

    Tracking interaction States for Multi-Turn Text-to-SQL Semantic Parsing
    Runze Wang, Zhen-Hua Ling, Jingbo Zhou, Yu Hu

    Commonsense Knowledge Aware Concept Selection for Diverse and Informative Visual
    Storytelling
    Hong Chen, Yifei Huang, Hiroya Takamura, Hideki Nakayama

    Collaborative Group Learning
    Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li, Xu Sun

    Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for
    Chinese Text Classification
    Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou

    GaussianPath: A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning
    Guojia Wan, Bo Du

    A Bottom-Up DAG Structure Extraction Model for Math Word Problems
    Yixuan Cao, Feng Hong, Hongwei Li, Ping Luo

    Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual
    Domain Adaptation
    Ke Wang, Guandan Chen, Zhongqiang Huang, Xiaojun Wan, Fei Huang

    ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification
    Guozhong Li, Byron Choi, Jianliang Xu, Sourav S Bhowmick, Kwok-Pan Chun, Grace Lai-Hung Wong

    ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud
    Completion
    Daoming Zong, Shiliang Sun, Jing Zhao

    Multimodal Fusion via Teacher-Student Network for Indoor Action Recognition
    Bruce X.B. Yu, Yan Liu, Keith Chan

    Decaug: Augmenting HOI Detection via Decomposition
    Hao-Shu Fang, Yichen Xie, Dian Shao, Yong-Lu Li, Cewu Lu

    Encoding Human Domain Knowledge to Warm Start Reinforcement Learning
    Andrew Silva, Matthew Gombolay

    Certifying Top-Down Decision-DNNF Compilers
    Florent Capelli, Jean-Marie Lagniez, Pierre Marquis

    Approximate Multiplication of Sparse Matrices with Limited Space
    Yuanyu Wan, Lijun Zhang

    Towards Faithfulness in Open Domain Table-to-Text Generation from an Entity-Centric View
    Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui

    Parameterized Complexity of Small Decision Tree Learning
    Sebastian Ordyniak, Stefan Szeider

    Attention-Based Multi-Level Fusion Network for Light Field Depth Estimation
    Jiaxin Chen, Shuo Zhang, Youfang Lin

    Time Series Anomaly Detection with Multiresolution Ensemble Decoding
    Lifeng Shen, Zhongzhong Yu, Qianli Ma, James Tin-Yau Kwok

    Projection-Free Online Learning in Dynamic Environments
    Yuanyu Wan, Bo Xue, Lijun Zhang

    Majority Opinion Diffusion in Social Networks: An Adversarial Approach
    Ahad N. Zehmakan

    MARTA: Leveraging Human Rationales for Explainable Text Classification
    Ines Arous, Ljiljana Dolamic, Akansha Bhardwaj, Jie Yang, Giuseppe Cuccu, Philippe Cudre-Mauroux

    Constraint Logic Programming for Real-World Test Laboratory Scheduling
    Tobias Geibinger, Florian Mischek, Nysret Musliu

    Projection-Free Online Learning over Strongly Convex Sets
    Yuanyu Wan, Lijun Zhang

    Faster Stackelberg Planning via Symbolic Search and Information Sharing
    Alvaro Torralba, Patrick Speicher, Robert Künnemann, Marcel Steinmetz, Joerg Hoffmann

    GraphMSE: Efficient Meta-Path Selection in Semantically Aligned Feature Space for Graph
    Neural Networks
    Yi Li, Yilun Jin, Guojie Song, Zihao Zhu, Chuan Shi, Yiming Wang

    ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative
    Adversarial Learning
    Tomer Golany, Kira Radinsky, Daniel Freedman

    Infinite-Dimensional Fisher Markets: Equilibrium, Duality and Optimization
    Yuan Gao, Christian Kroer

    Noninvasive Self-Attention for Side Information Fusion in Sequential Recommendation
    Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Lifeng Shang, Hong Zhu

    Augmented Experiment in Material Engineering Using Machine Learning
    Aomar Osmani, Massinissa Hamidi, Salah Bouhouche

    Joint-Label Learning by Dual Augmentation for Time Series Classification
    Qianli Ma, Zhenjing Zheng, Jiawei Zheng, Sen Li, Wanqing Zhuang, Garrison Cottrell

    Improving Maximum k-plex Solver via Second-Order Reduction and Graph Color Bounding
    Yi Zhou, Shan Hu, Mingyu Xiao, Zhang-Hua Fu

    Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis
    Rohan K Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin

    GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via GoalLiteral Babbling
    Rohan Chitnis, Tom Silver, Joshua Tenenbaum, Leslie Kaelbling, Tomas Lozano-Perez

    Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action
    Recognition
    Zhan Chen, Sicheng Li, Bing Yang, Qinghan Li, Hong Liu

    Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search
    Li Cheng Lan, Cho-Jui Hsieh, Ti-Rong Wu, I-Chen Wu

    A Graph Reasoning Network for Multi-Turn Response Selection via Customized Pre-Training
    Yongkang Liu, Shi Feng, Daling Wang, Kaisong Song, Ren Feiliang, Yifei Zhang

    Increasing Iterate Averaging for Solving Saddle-Point Problems
    Yuan Gao, Christian Kroer, Donald Goldfarb

    Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size
    Christoph Hertrich, Martin Skutella

    Provably Secure Federated Learning against Malicious Clients
    Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong

    WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning
    Qisong Yang, Thiago D. Simão, Simon H Tindemans, Matthijs T. J. Spaan

    A Recipe for Global Convergence Guarantee in Deep Neural Networks
    Kenji Kawaguchi, Qingyun Sun

    Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval
    Qingchao Chen, Yang Liu, Samuel Albanie

    Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph
    Attention Networks
    Rui Cheng, Qing Li

    Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service
    Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia

    Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior
    Anh Tong, Toan M Tran, Kim Juhyeong, Hung Bui, Jaesik Choi

    Deep Event Stereo Leveraged by Event-to-Image Translation
    Soikat Hasan Ahmed, Hae Woong Jang, S M Nadim Uddin, Yong Ju Jung

    A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis
    Yue Mao, Yi Shen, Chao Yu, LongJun Cai

    Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled
    Transformers
    Shijie Geng, Peng Gao, Moitreya Chatterjee, Chiori Hori, Jonathan LeRoux, Yongfeng Zhang,
    Hongsheng Li, Anoop Cherian

    Planning with Learned Object Importance in Large Problem Instances Using Graph Neural
    Networks
    Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua Tenenbaum, Tomas Lozano-Perez, Leslie Kaelbling

    Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
    Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates

    On Fair Division under Heterogeneous Matroid Constraints
    Amitay Dror, Michal Feldman, Erel Segal-Halevi

    ROSITA: Refined BERT Compression with Integrated Techniques
    Yuanxin Liu, Zheng Lin, Fengcheng Yuan

    Raven’s Progressive Matrices Completion with Latent Gaussian Process Priors
    Fan Shi, Bin Li, Xiangyang Xue

    Satisfiability and Algorithms for Non-Uniform Random k-SAT
    Andrei Bulatov, Oleksii Omelchenko

    Achieving Proportionality up to the Maximin Item with Indivisible Goods
    Artem Baklanov, Pranav Garimidi, Vasilis Gkatzelis, Daniel R Schoepflin

    Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating
    Estimation on Missing-Not-at-Random Data
    Qi Zhang, Longbing Cao, Chongyang Shi, Liang Hu

    Variational Fair Clustering
    Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed

    Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for
    Retrieval-Based Dialogues
    Ruijian Xu, Chongyang Tao, Daxin Jiang, Xueliang Zhao, Dongyan Zhao, Rui Yan

    AnchorFace: An Anchor-Based Facial Landmark Detector across Large Poses
    Zixuan Xu, Banghuai Li, Ye Yuan, Miao Geng

    Right for Better Reasons: Training Differentiable Models by Constraining their Influence
    Function
    Xiaoting Shao, Arseny Skryagin, Patrick Schramowski, Wolfgang Stammer, Kristian Kersting

    Nutri-Bullets: Summarizing Health Studies by Composing Segments
    Darsh J Shah, Lili Yu, Tao Lei, Dr.Regina Barzilay

    CrossNER: Evaluating Cross-Domain Named Entity Recognition
    Zihan Liu, Yan Xu, Tiezheng Yu, Wenliang Dai, Ziwei Ji, Samuel Cahyawijaya, Andrea Madotto,
    Pascale Fung

    Programmatic Strategies for Real-Time Strategy Games
    Julian Mariño, Rubens Moraes, Tassiana Oliveira, Claudio Toledo, Levi H. S. Lelis

    Multi-Scale Games: Representing and Solving Games on Networks with Group Structure
    Kun Jin, Yevgeniy Vorobeychik, Mingyan Liu

    Improved Knowledge Modeling and Its Use for Signaling in Multi-Agent Planning with Partial
    Observability
    Shashank Shekhar, Ronen Brafman, Guy Shani

    *-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task
    Dmitry Tsarkov, Tibor Tihon, Nathan Scales, Nikola Momchev, Danila Sinopalnikov, Nathanael
    Schärli

    Responsibility Attribution in Parameterized Markovian Models
    Christel Baier, Florian Funke, Rupak Majumdar

    Relational Classification of Biological Cells in Microscopy Images
    Ping Liu, Mustafa Bilgic

    Fully Exploiting Cascade Graphs for Real-Time Forwarding Prediction
    Xiangyun Tang, Dongliang Liao, Weijie Huang, Liehuang Zhu, Meng Shen, Jin Xu

    Complete Closed Time Intervals-Related Patterns Mining
    Omer David Harel, Robert Moskovitch

    Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation
    Laws
    Kookjin Lee, Kevin Carlberg

    Theoretically Principled Deep Rl Acceleration via Nearest Neighbor Function Approximation
    Junhong Shen, Lin Yang

    Condorcet Relaxation in Spatial Voting
    Omrit Filtser, Arnold Filtser

    Generating Natural Language Attacks in a Hard Label Black Box Setting
    Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi

    Improving Sample Efficiency in Model-Free Reinforcement Learning from Images
    Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus

    Neural Architecture Search as Sparse Supernet
    Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc Van Gool

    Modeling the Probabilistic Distribution of Unlabeled Data for One-Shot Medical Image
    Segmentation
    Yuhang Ding, Xin Yu, Yi Yang

    Local Differential Privacy for Bayesian Optimization
    Xingyu Zhou, Jian Tan

    Communication-Efficient Projection-Free Algorithm for Nonconvex Constrained Learning
    Models
    Wenhan Xian, Feihu Huang, Heng Huang

    Cutting to the Core of Pseudo-Boolean Optimization: Combining Core-Guided Search with
    Cutting Planes Reasoning
    Jo Devriendt, Stephan Gocht, Emir Demirović, Peter Stuckey, Jakob Nordström

    Scalable Graph Networks for Particle Simulations
    Karolis Martinkus, Aurelien Lucchi, Nathanaël Perraudin

    Efficient On-Chip Learning for Optical Neural Networks through Power-Aware Sparse ZerothOrder Optimization
    Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T Chen, David Z Pan

    Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for
    Unsupervised Cross-Domain Translation
    Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu

    Knowledge-Base Degrees of Inconsistency: Complexity and Counting
    Johannes K Fichte, Markus Hecher, Arne Meier

    An Analysis of Approval-Based Committee Rules for 2D-Euclidean Elections
    Michał T Godziszewski, Paweł Batko, Piotr Skowron, Piotr Faliszewski

    Mercer Features for Efficient Combinatorial Bayesian Optimization
    Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa

    A Market-Inspired Bidding Scheme for Peer Review Paper Assignment
    Reshef Meir, Jerome Lang, Julien Lesca, Nicholas Mattei, Natan Kaminsky

    Explaining a Black-Box by Using a Deep Variational information Bottleneck Approach
    Seojin Bang, Pengtao Xie, Heewook Lee, Wei Wu, Eric Xing

    Out-of-Town Recommendation with Travel Intention Modeling
    Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong

    A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints
    Krishna C Kalagarla, Rahul Jain, Pierluigi Nuzzo

    Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler
    Jianwen Xie, Zilong Zheng, Ping Li

    High-Confidence Off-Policy (or Counterfactual) Variance Estimation
    Yash Chandak, Shiv Shankar, Philip Thomas

    Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes
    Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed

    Self-Progressing Robust Training
    Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das

    Preferred Explanations for Ontology-Mediated Queries under Existential Rules
    Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavicius

    Learning Contextual Representations for Semantic Parsing with Generation-Augmented PreTraining
    Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Cicero Nogueira
    dos Santos, Bing Xiang

    Market-Based Explanations of Collective Decisions
    Dominik Peters, Grzegorz Pierczyński, Nisarg Shah, Piotr Skowron

    Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification

    Guile Wu, Shaogang Gong

    Saturated Post-Hoc Optimization for Classical Planning
    Jendrik Seipp, Thomas Keller, Malte Helmert

    Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis
    Dimitris Gkoumas, Qiuchi Li, Shahram Dehdashti, Massimo Melucci, Yijun Yu, Dawei Song

    Exacerbating Algorithmic Bias through Fairness Attacks
    Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan

    On the Adequacy of Untuned Warmup for Adaptive Optimization
    Jerry Ma, Denis Yarats

    Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition
    Thomy Phan, Lenz Belzner, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Claudia LinnhoffPopien

    Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints
    Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu

    Automated Storytelling via Causal, Commonsense Plot Ordering
    Prithviraj V Ammanabrolu, Wesley Cheung, William D Broniec, Mark Riedl

    ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-Based Machine
    Learning Algorithms with Applications in Healthcare
    Ali Burak Ünal, Mete Akgün, Nico Pfeifer

    Deep Probabilistic Canonical Correlation Analysis
    Mahdi Karami, Dale Schuurmans

    An Enhanced Advising Model in Teacher-Student Framework Using State Categorization
    Daksh Anand, Vaibhav Gupta, Praveen Paruchuri, Balaraman Ravindran

    Automated Mechanism Design for Classification with Partial Verification
    Hanrui Zhang, Yu Cheng, Vincent Conitzer

    A Unified Taylor Framework for Revisiting Attribution Methods
    Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu

    Learning Accurate and Interpretable Decision Rule Sets from Neural Networks
    Litao Qiao, Weijia Wang, Bill Lin

    How RL Agents Behave When Their Actions Are Modified
    Eric D Langlois, Tom Everitt

    Almost Linear Time Density Level Set Estimation via DBSCAN
    Hossein Esfandiari, Vahab Mirrokni, Peilin Zhong

    Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for
    Robustness under Non-Uniform Attacks
    Huimin Zeng, Chen Zhu, Tom Goldstein, Furong Huang

    Relation-Aware Graph Attention Model with Adaptive Self-Adversarial Training
    Xiao Qin, Nasrullah Sheikh, Berthold Reinwald, Lingfei Wu

    Learning by Fixing: Solving Math Word Problems with Weak Supervision
    Yining Hong, Qing Li, Daniel Ciao, Siyuan Huang, Song-Chun Zhu

    Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization
    Han-Hsien Huang, Mi-Yen Yeh

    Personalized Cross-Silo Federated Learning on Non-IID Data
    Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang

    Fair and Efficient Online Allocations with Normalized Valuations
    Xizhi Tan, Vasilis Gkatzelis, Alexandros Psomas

    Group Fairness by Probabilistic Modeling with Latent Fair Decisions
    YooJung Choi, Meihua Dang, Guy Van den Broeck

    Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration
    Priyank Agrawal, Jinglin Chen, Nan Jiang

    Incentive-Aware PAC Learning
    Hanrui Zhang, Vincent Conitzer

    Learning Intuitive Physics with Multimodal Generative Models
    Sahand Rezaei-Shoshtari, Francois R Hogan, Michael Jenkin, David Meger, Gregory Dudek

    Holistic Multi-View Building Analysis in the Wild with Projection Pooling
    Zbigniew Bogdan Wojna, Krzysztof Maziarz, Lukasz Jocz, Robert Paluba, Robert Kozikowski, Iason
    Kokkinos

    Asking the Right Questions: Learning Interpretable Action Models through Query Answering
    Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava

    Model-Sharing Games: Analyzing Federated Learning under Voluntary Participation
    Kathleen Donahue, Jon Kleinberg

    Variational Disentanglement for Rare Event Modeling
    Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Goldstein, Ricardo Henao

    Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis
    Zi Wang

    Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients
    Huimin Wu, Zhengmian Hu, Bin Gu

    Domain Adaptation in Reinforcement Learning via Latent Unified State Representation
    Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey Prof. Krichmar

    Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation
    Hui Zhang, Tianchu Guo, Jae-Joon Han, ByungIn Yoo, Yongchao Liu, Youngjun Kwak

    Testing Independence between Linear Combinations for Causal Discovery
    Hao Zhang, Kun Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang

    Efficient Querying for Cooperative Probabilistic Commitments
    Qi Zhang, Edmund Durfee, Satinder Singh

    Bidirectional RNN Based Few Shot Learning for 3D Medical Image Segmentation
    Soopil Kim, Sion An, Philip Chikontwe, Sanghyun Park

    Task Cooperation for Semi-Supervised Few-Shot Learning
    Han-Jia Ye, Xin-Chun Li, De-Chuan Zhan

    Learning To Sit: Synthesizing Human-Chair Interactions via Hierarchical Control
    Yu-Wei Chao, Jimei Yang, Weifeng Chen, Jia Deng

    Online Optimal Control with Affine Constraints
    Yingying Li, Subhro Das, Na Li

    Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach
    James Queeney, Ioannis Paschalidis, Christos G. Cassandras

    Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences
    Andis Draguns, Emīls Ozoliņš, Agris Šostaks, Matīss Apinis, Karlis Freivalds

    Multidimensional Uncertainty-Aware Evidential Neural Networks
    Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen

    Robust Contextual Bandits via Bootstrapping
    Qiao Tang, Hong Xie, Yunni Xia, Jia Lee, Qingsheng Zhu

    Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An
    Adversarial Training Perspective
    Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E Hughes, Yanjie Fu

    Winning Lottery Tickets in Deep Generative Models
    Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi

    Learning Flexibly Distributional Representation for Low-Quality 3D Face Recognition
    Zihui Zhang, Cuican Yu, Shuang Xu, HUIBIN LI

    Learning to Recommend from Sparse Data via Generative User Feedback
    Wenlin Wang

    Deep Recurrent Belief Propagation Network for POMDPs
    Yuhui Wang, Xiaoyang Tan

    Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural
    Networks
    Weihao Tan, Devdhar Patel, Robert Kozma

    Synchronous Dynamical Systems on Directed Acyclic Graphs: Complexity and Algorithms
    Daniel J Rosenkrantz, Madhav Marathe, S S Ravi, Richard Stearns

    Topology-Aware Correlations between Relations for Inductive Link Prediction in Knowledge
    Graphs
    Jiajun Chen, Huarui He, Feng Wu, Jie Wang

    Automated Symbolic Law Discovery: A Computer Vision Approach
    Hengrui Xing, Ansaf Salleb Aouissi, Nakul Verma

    Interactive Speech and Noise Modeling for Speech Enhancement
    Chengyu Zheng, Xiulian Peng, Yuan Zhang, Sriram Srinivasan, Yan Lu

    DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits
    Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Chris Quinn

    IA-GM: A Deep Bidirectional Learning Method for Graph Matching
    Kaixuan Zhao, Shikui Tu, Lei Xu

    Research Reproducibility as a Survival Analysis
    Edward Raff

    Inverse Reinforcement Learning from Like-Minded Teachers
    Ritesh Noothigattu, Tom Yan, Ariel D Procaccia

    Neighborhood Consensus Networks for Unsupervised Multi-View Outlier Detection
    Li Cheng, Yijie Wang, Xinwang Liu

    FontRL: Chinese Font Synthesis via Deep Reinforcement Learning
    Yitian Liu, Zhouhui Lian

    Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning
    Jingran Zhang, Xing Xu, Fumin Shen, Huimin Lu, Xin Liu, Heng Tao Shen

    Coordination between Individual Agents in Multi-Agent Reinforcement Learning
    Yang Zhang, Qingyu Yang, Dou An, Chengwei Zhang

    CHEF: Cross-Modal Hierarchical Embeddings for Food Domain Retrieval
    Hai X Pham, Ricardo Guerrero , Vladimir Pavlovic, Jiatong Li

    Towards Robust Visual information Extraction in Real World: New Dataset and Novel
    Solution
    Jiapeng Wang, Chongyu Liu, Lianwen Jin, Guozhi Tang, Jiaxin Zhang, Shuaitao Zhang, Qianying
    Wang, Yaqiang Wu, Mingxiang Cai

    Classification with Few Tests through Self-Selection
    Hanrui Zhang, Yu Cheng, Vincent Conitzer

    Semantic MapNet: Building Allocentric Semanticmaps and Representations from Egocentric
    Views
    Vincent Cartillier, Zhile Ren, Neha Jain, Stefan Lee, Irfan Essa, Dhruv Batra

    Extreme k-Center Clustering
    MohammadHossein Bateni, Hossein Esfandiari, Manuela Fischer, Vahab Mirrokni

    Fair and Efficient Allocations under Subadditive Valuations
    Bhaskar R Chaudhury, Jugal Garg, Ruta Mehta

    Fair and Efficient Allocations under Lexicographic Preferences
    Hadi Hosseini, Sujoy Sikdar, Rohit Vaish, Lirong Xia

    Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated
    Cameras
    Xipeng Chen, Pengxu Wei, Liang Lin

    Tracking Disease Outbreaks from Sparse Data with Bayesian Inference
    Bryan Wilder, Michael Mina, Milind Tambe

    Transfer Learning for Efficient Iterative Safety Validation
    Anthony Corso, Mykel Kochenderfer

    ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
    Zhewei Yao, Amir Gholami, Sheng Shen, Mustafa Mustafa, Kurt Keutzer, Michael Mahoney

    RNA Secondary Structure Representation Network for RNA-Proteins Binding Prediction
    Liu Ziyi, Fulin Luo, Bo Du

    Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic
    Matching
    Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan

    Dual Adversarial Graph Neural Networks for Multi-Label Cross-Modal Retrieval
    Shengsheng Qian, Dizhan Xue, Huaiwen Zhang, Quan Fang, Changsheng Xu

    ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs
    Fei Yu, Jiji Tang, Weichong Yin, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang

    Constrained Risk-Averse Markov Decision Processes
    Mohamadreza Ahmadi, Ugo Rosolia, Michel Ingham, Richard M Murray, Aaron Ames

    Learning Interpretable Models for Couple Networks under Domain Constraints
    Hongyuan You, Sikun Lin, Ambuj Singh

    A Hybrid Probabilistic Approach for Table Understanding
    Kexuan Sun, Harsha Rayudu, Jay Pujara

    Deep Wasserstein Graph Discriminant Learning for Graph Classification
    Tong Zhang, Yun Wang, Zhen Cui, Chuanwei Zhou, Baoliang Cui, Haikuan Huang, Jian Yang

    UNIpoint: Universally Approximating Point Processes Intensities
    Alexander Soen, Lexing Xie, Alexander Mathews, Daniel Grixti-Cheng

    Boundary Proposal Network for Two-Stage Natural Language Video Localization
    Shaoning Xiao, Long Chen, Songyang Zhang, Wei Ji, Jian Shao, Lu Ye, Jun Xiao

    A Bidirectional Multi-Paragraph Reading Model for Zero-Shot Entity Linking
    Hongyin Tang, Xingwu Sun, Beihong Jin, Fuzheng Zhang

    Discovering New Intents with Deep Aligned Clustering
    Hanlei Zhang, Hua Xu, Ting-En Lin, Lv Rui

    Continual Learning by Using Information of Each Class Holistically
    Wenpeng Hu, Qi Qin, Mengyu Wang, Jinwen Ma, Bing Liu

    A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition

    Yongxiu Xu, Heyan Huang, Chong Feng, Yue Hu

    StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding
    Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao

    Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting
    Mengzhang Li, Zhanxing Zhu

    A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving
    Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan
    Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue

    Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
    Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul
    Moon

    PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector
    Chuan Luo, Pu Zhao, Chen Chen, Bo Qiao, Chao Du, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He,
    Saravanakumar Rajmohan, Qingwei Lin

    Visual Relation Detection Using Hybrid Analogical Learning
    Kezhen Chen, Ken Forbus

    Leveraging Table Content for Zero-Shot Text-to-SQL with Meta-Learning
    Yongrui Chen, Xinnan Guo, Chaojie Wang, Jian Qiu, Guilin Qi, Meng Wang, Huiying Li

    Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer
    Suhyeon Lee, Junhyuk Hyun, Hongje Seong, Euntai Kim

    The Maximin Support Method: An Extension of the D’Hondt Method to Approval-Based
    Multiwinner Elections
    Luis Sanchez-Fernandez, Norberto Fernández García, Jesús Fisteus, Markus Brill

    Neural Analogical Matching
    Maxwell Crouse, Constantine Nakos, Ibrahim Abdelaziz, Ken Forbus

    Unanswerable Question Correction in Question Answering over Personal Knowledge Base
    An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen

    Hierarchical Negative Binomial Factorization for Recommender Systems on Implicit
    Feedback
    Li-Yen Kuo, Ming-Syan Chen

    GLISTER: Generalization Based Data Subset Selection for Efficient and Robust Learning
    Krishnateja Killamsetty, Durga S, Ganesh Ramakrishnan, Rishabh Iyer

    Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter
    Optimization
    Wanli Shi, Bin Gu

    Improving Continuous-Time Conflict Based Search
    Anton Andreychuk, Konstantin Yakovlev, Eli Boyarski, Roni Stern

    Wasserstein Distributionally Robust Inverse Multiobjective Optimization
    Chaosheng Dong, Bo Zeng

    Active Bayesian Assessment of Black-Box Classifiers
    Disi Ji, Robert L Logan, Padhraic Smyth, Mark Steyvers

    SCRUPLES: A Corpus of Community Ethical Judgments on 32,000 Real-Life Anecdotes
    Nicholas Lourie, Ronan Le Bras, Yejin Choi

    UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask
    Benchmark
    Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi

    Graph-Based Tri-Attention Network for Answer Ranking in CQA
    Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang

    Treewidth-Aware Complexity in ASP: Not All Positive Cycles Are Equally Hard
    Markus Hecher, Jorge Fandinno

    Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks
    to an Adaptive Law
    Jian Hou, Fangyuan Wang, Lili Wang, Zhiyong Chen

    Patch-Wise Attention Network for Monocular Depth Estimation
    Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi, Junmo Kim

    Hierarchically and Cooperatively Learning Traffic Signal Control
    Bingyu Xu, Yaowei Wang, Zhaozhi Wang, Huizhu Jia, Zongqing Lu

    Computing an Efficient Exploration Basis for Learning with Univariate Polynomial Features
    Chaitanya Amballa, Manu Kumar Gupta, Sanjay P. P. Bhat

    To Choose or To Fuse? Scale Selection for Crowd Counting
    Qingyu Song, Changan Wang, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Jian Wu, Jiayi Ma

    Embodied Visual Active Learning for Semantic Segmentation
    David Nilsson, Aleksis Pirinen, Erik Gärtner, Cristian Sminchisescu

    Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision
    Rongqin Liang, Yuanman Li, Xia Li, Yi Tang, Jiantao Zhou, Wenbin Zou

    Linearly Replaceable Filters for Deep Network Channel Pruning
    Donggyu Joo, Eojindl Yi, Sung Hyun Baek, Junmo Kim

    Knowledge Refinery: Learning from Decoupled Label
    Qianggang Ding, Sifan Wu, Tao Dai, Hao Sun, Jiadong Guo, Zhang-Hua Fu, Shutao Xia

    Interpretable Actions: Controlling Experts with Understandable Commands
    Shumeet Baluja, David Marwood, Michele Covell

    Shuffling Recurrent Neural Networks
    Michael Rotman, Lior Wolf

    Simpson’s Bias in NLP Training
    Fei Yuan, Longtu Zhang, Huang Bojun, Yaobo Liang

    Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering
    Information
    Qiu Ran, Yankai Lin, Peng Li, Jie Zhou

    Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder
    Network
    Yehao Li, Yingwei Pan, Ting Yao, Jingwen Chen, Tao Mei

    Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep
    Learning
    Christos Markos, James Yu, Richard Yi Da Xu

    Synchronous Interactive Decoding for Multilingual Neural Machine Translation
    Hao He, Qian Wang, Zhipeng Yu, Yang Zhao, Jiajun Zhang, Chengqing Zong

    Unchain the Search Space with Hierarchical Differentiable Architecture Search
    Guanting Liu, Yujie Zhong, Sheng Guo, Matthew R. Scott, Weilin Huang

    MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces
    Linhai Zhang, Deyu Zhou, Yulan He, Zeng Yang

    Learning Term Embeddings for Lexical Taxonomies
    Jingping Liu, Menghui Wang, Chao Wang, Jiaqing Liang, Lihan Chen, Haiyun Jiang, Yanghua Xiao,
    Yunwen Chen

    HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions

    Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu

    Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers
    Philipp Geiger, Christoph-Nikolas Straehle

    THOR, Trace-Based Hardware-Driven Layer-Oriented Natural Gradient Descent Computation
    Mengyun Chen, Kaixin Gao, Xiaolei Liu, Zidong Wang, Ningxi Ni, Qian Zhang, Lei Chen, Chao Ding,
    Zhenghai Huang, Min Wang, Shuangling Wang, Fan Yu, Xinyuan Zhao, Dachuan Xu

    On the Optimal Efficiency of A* with Dominance Pruning
    Alvaro Torralba

    Learning Deep Generative Models for Queuing Systems
    Cesar A Ojeda, Ramses Sanchez, Kostadin Cvejoski, Bodgan Georgiev, Christian Bauckhage, Jannis
    Schuecker

    Two-Stream Convolution Augmented Transformer for Human Activity Recognition
    Bing Li, Wei Cui, Wei Wang, Le Zhang, Zhenghua Chen, Min Wu

    Toward Realistic Virtual Try-On through Landmark Guided Shape Matching
    Guoqiang Liu, Dan Song, Ruofeng Tong, Min Tang

    News Content Completion with Location-Aware Image Selection
    Zhengkun Zhang, Jun Wang, Adam Jatowt, Zhe Sun, Shao-Ping Lu, Zhenglu Yang

    SongMASS: Automatic Song Writing with Pre-Training and Alignment Constraint
    Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin

    Entity Guided Question Generation with Contextual Structure and Sequence Information
    Capturing
    Qingbao Huang, Mingyi Fu, Linzhang Mo, Yi Cai, Jingyun Xu, Pijian Li, Qing Li, Ho-fung Leung

    Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction
    Yao Zhang, Xu Zhang, Jun Wang, Hongru Liang, Wenqiang Lei, Zhe Sun, Adam Jatowt, Zhenglu Yang

    A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and Its Applications
    to Regularization
    Adepu Ravi, Yash Khasbage, Rahul Vigneswaran K, Vineeth N Balasubramanian

    Towards Balanced Defect Prediction with Better information Propagation
    Xianda Zheng, Yuan-Fang Li , Huan Gao, Yuncheng Hua, Guilin Qi

    Effective Slot Filling via Weakly-Supervised Dual-Model Learning
    Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Gang Chen

    MetaAugment: Sample-Aware Data Augmentation Policy Learning
    Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li

    Nested Named Entity Recognition with Partially-Observed TreeCRFs
    Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang

    RareBERT: Transformer Architecture for Rare Disease Patient Identification Using
    Administrative Claims
    PKS Prakash, Srinivas Chilukuri, Nikhil Ranade, Shankar Viswanathan

    Network Satisfaction for Symmetric Relation Algebras with a Flexible Atom
    Manuel Bodirsky, Simon Knäuer

    Do Response Selection Models Really Know What’s Next? Utterance Manipulation Strategies
    for Multi-Turn Response Selection
    Taesun Whang, Dongyub Lee, Dongsuk Oh, Chanhee Lee, Kijong Han, Dong-hun Lee, Saebyeok Lee

    Balanced Open Set Domain Adaptation via Centroid Alignment
    Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang

    Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
    Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon

    A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching
    Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros Voudouris

    Demodalizing Face Recognition with Synthetic Samples
    Zhonghua Zhai, Pengju Yang, Xiaofeng Zhang, Maji Huang, Haijing Cheng, Xuejun Yan, Chunmao
    Wang, Shiliang Pu

    Escaping Local Optima with Non-Elitist Evolutionary Algorithms
    Duc-Cuong Dang, Anton Eremeev, Per Kristian Lehre

    Audio-Visual Localization by Synthetic Acoustic Image Generation
    Valentina Sanguineti, Pietro Morerio, Alessio Del Bue, Vittorio Murino

    Differential Spectral Normalization (DSN) for PDE Discovery
    Chi Chiu So, Tsz On Li, Chufang Wu, Siu Pang Yung

    Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud
    Systems
    Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang,
    Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin

    Slimmable Generative Adversarial Networks

    Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang

    Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained
    Conditional Random Field
    Bingbing Xu, Huawei Shen, Rong An, Bingjie Sun, Qi Cao, Xueqi Cheng

    Disposable Linear Bandits for Online Recommendations
    Melda Korkut, Andrew Li

    Parameterized Complexity of Logic-Based Argumentation in Schaefer’s Framework
    Yasir Mahmood, Arne Meier, Johannes Schmidt

    Consistency and Finite Sample Behavior of Binary Class Probability Estimation
    Alexander Mey, Marco Loog

    Restricted Domains of Dichotomous Preferences with Possibly Incomplete Information
    Zoi Terzopoulou, Alexander Karpov, Svetlana Obraztsova

    Efficient Truthful Scheduling and Resource Allocation through Monitoring
    Dimitris Fotakis, Piotr Krysta, Carmine Ventre

    Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms
    Miguel A Carreira-Perpinan, Suryabhan Singh Hada

    Online Posted Pricing with Unknown Time-Discounted Valuations
    Giulia Romano, Alberto Marchesi, Gianluca Tartaglia, Nicola Gatti

    Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal
    Networks
    Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou

    Fitting the Search Space of Weight-Sharing NAS with Graph Convolutional Networks
    Xin Chen, Lingxi Xie, Jun Wu, Longhui Wei, Yuhui Xu, Qi Tian

    Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial
    Robustness
    Anh Tuan Bui, Trung Le, He Zhao, Paul Montague, Olivier DeVel, Tamas Abraham, Dinh Phung

    Aligning Artificial Neural Networks and Ontologies Towards Explainable AI
    Manuel de Sousa Ribeiro, João Leite

    Exploratory Machine Learning with Unknown Unknowns
    Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou

    往期回顾

    重磅!「自然语言处理(NLP)」全球学术界”巨佬“信息大盘点(一)!
    重磅!「自然语言处理(NLP)」全球学术界”巨佬“信息大盘点(二)!
    重磅!「自然语言处理(NLP)」全球学术界”巨佬“信息大盘点(三)!
    【AAAI 2020】全部接受论文列表(一)
    【AAAI 2020】全部接受论文列表(二)
    【AAAI 2020】全部接受论文列表(三)
    【AAAI 2020】全部接受论文列表(四)
    【AAAI 2020】全部接受论文列表(五)
    【AAAI 2020】全部接受论文列表(六)

    展开全文
  • 编辑: ShuYini 校稿: ShuYini 时间: 2021-01-14 马上春节了,疫情又卷土而来,希望大家注意防护,爱护自己的身体 AAAI 2021论文接收情况 ...据 AAAI 2021官方网站,这个 2021年首个人工智能顶会将全.
  • 编辑: ShuYini 校稿: ShuYini 时间: 2021-01-14 马上春节了,疫情又卷土而来,希望大家注意防护,爱护自己的身体 AAAI 2021论文接收情况 ...据 AAAI 2021官方网站,这个 2021年首个人工智能顶会将全.
  • 编辑: ShuYini 校稿: ShuYini 时间: 2021-01-14 马上春节了,疫情又卷土而来,希望大家注意防护,爱护自己的身体 AAAI 2021论文接收情况 ...据 AAAI 2021官方网站,这个 2021年首个人工智能顶会将全.
  • 编辑: ShuYini 校稿: ShuYini 时间: 2021-01-14 马上春节了,疫情又卷土而来,希望大家注意防护,爱护自己的身体 AAAI 2021论文接收情况 ...据 AAAI 2021官方网站,这个 2021年首个人工智能顶会将全.
  • 该存储库包含Zhu和Zhou等人的AAAI 2021论文《基于约束图的神经语句排序》的源代码和数据集。 句子排序是文本一致性建模的子任务,旨在以正确的顺序排列句子列表。基于不同距离的句子顺序可能依赖于不同类型的信息的...
  • 人工智能领域国际顶会AAAI 2021看点

    千次阅读 2021-01-28 19:58:12
    AAAI 2021AAAI Conference on Artificial Intelligence02.02 - 02.09 | VirtualAAAI 是由美国人工智能协会举办的人...
  • 目前,已经开放了AAAI2021的Accept Paper List, 博主在寒假期间精选了76篇 知识图谱(Knowledge Graph) 的入选论文。 知识图谱论文中,热点关键词: knowledge-xxx(guided, enhanced, enriched, aware), few-shot...
  • 目前,已经开放了AAAI2021的Accept Paper List, 本文精选了14篇**联邦学习(Federated Learning)**的入选论文,分类如下: 隐私保护(Private Protection) 278: Secure Bilevel Asynchronous Vertical Federated ...
  • AAAI 2021 | 时间序列论文一览

    千次阅读 2021-01-26 20:29:18
    今年 AAAI 2021 将于北京时间2021年2月9到12号于线上举行。本次大会共接收了 1692 篇论文,接收率约为21%,可谓收获颇丰。编者梳理与时间序列有关的研究,竟也高达66篇,可见产学两界对该领域的热情与应用前景。
  • 前言距离AAAI 2021 开奖放榜结束有段时间了(近期将开始线上会议),其中的论文大多是目前的SOTA,所以非常值得大家花时间阅读学习!AAAI 2021 有效投稿数为9034,最终收录1692篇论文,录取率是21%。CVer将正式系列...
  • 近期,所有AAAI 2021 paper list 放出,本文发现基于因果推理(Causal Inference)相关的投稿paper很多,因果推理,以及反事实等相关理论方法在CV、NLP都开始有相关的应用了,这个前沿的方法受到了很多人的关注。
  • 原文地址 |AAAi2021论文投稿流程原文首发,未经允许,禁止转载 关于今年的AAAI2021会议,网上完全没有注册流程介绍,连会议相关介绍都没有,上次简单写了一个《AAAI2021会议马上开放注册了!注意截稿时间!》,...
  • AAAI2021论文“ ”的官方Pytorch实施 入门 安装依赖项 可以使用pip安装所有依赖项: python -m pip install -r requirements.txt 我们的实验在Python 3.7和PyTorch 1.6上运行。 其他版本应该可以使用,但未经测试...
  • 转载于知乎专栏编辑:@Vachel本文主要介绍商汤科技城市计算研发组发表在AAAI2021上工作,提出了基于互补边界回归和尺度平衡交互建模的时序动作提名生成网络(BSN++),针对现有方...
  • AAAI 2021放榜:你中了几篇?

    千次阅读 2020-12-03 13:00:00
    点击上方,选择星标或置顶,不定期资源大放送!阅读大概需要5分钟Follow小博主,每天更新前沿干货2021年的首个人工智能顶级会议 AAAI 2021 将于美国纽约举办,时间在 2 月 ...
  • 近期,AAAI 2021所有paper list 放出,本文发现基于序列推荐(Sequential Recommendation,SR)相关的接受paper还不少,序列推荐这几年比如时序性行为分析、冷启动序列推荐、线上实时推理机制等等一些列前沿的方法和...
  • 1、文章信息《Inductive Graph Neural Networks for Spatiotemporal Kriging》。麦吉尔大学发表在AAAI 2021上的一篇文章。原文和...
  • 点击上方“CVer”,选择加"星标"置顶重磅干货,第一时间送达本文转载自:AIWalker标题&作者团队注:该文已被AAAI2021接收。南京大学&南理工...
  • 厌倦了线上开会?期待一场面对面的线下学术交流?想和业界技术大咖、学界专家学者面对面交流前沿热点?这样的机会来了!中国中文信息学会青工委拟于12月19日在北京举行AAAI 2021线下论文...
  • 京东科技集团21篇论文高票入选国际顶会AAAI 2021 近日,国际人工智能领域顶级学术会议AAAI 2021(第35届AAAI)正式开始。在国内AI阵营前列的京东科技集团以高达21篇论文的入选量成为本届AAAI的一大黑马。其研究方向...
  • 点击上方“CVer”,选择加"星标"置顶重磅干货,第一时间送达本文转载自:AI科技评论近日,国际人工智能领域顶级学术会议AAAI 2021(第35届AAAI)正式开始。在国...
  • 摘要 ·看点在 AAAI 2021,南洋理工大学 S-Lab、香港中文大学-商汤科技联合实验室和中科院深圳先进技术研究院等对视频超分辨率中的可变形对齐作出分析。可变形卷积最初是为适应对象...
  • 本文转自知乎,已获作者张泽今授权转载,请勿二次转载。原文链接:https://zhuanlan.zhihu.com/p/345472885本篇文章来介绍一下 AAAI 2021 会议录取...
  • 点击上方“CVer”,选择加"星标"置顶重磅干货,第一时间送达本文转载自:腾讯优图近日,国际人工智能顶级会议AAAI 2021公布了论文录取结果。AAAI是人工智能领域最...
  • 点击 机器学习算法与Python学习 ,选择加星标精彩内容不迷路机器之心报道作为全球人工智能顶会之一,虽然受到疫情限制,但 AAAI 2021 的热度仍然不减,本届 9034 篇提交论文的...

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