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ORCID35th AAAI 2021: Virtual Event
- Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021. AAAI Press 2021, ISBN 978-1-57735-866-4
AAAI-21 Technical Tracks 1
AAAI Technical Track on Application Domains
- Barrett R. Anderson, Adam M. Smith:
The Undergraduate Games Corpus: A Dataset for Machine Perception of Interactive Media. 3-11 - Kumar Ayush, Burak Uzkent, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon:
Efficient Poverty Mapping from High Resolution Remote Sensing Images. 12-20 - Haris Aziz, Ágnes Cseh, John P. Dickerson, Duncan C. McElfresh:
Optimal Kidney Exchange with Immunosuppressants. 21-29 - Nghi D. Q. Bui, Yijun Yu, Lingxiao Jiang:
TreeCaps: Tree-Based Capsule Networks for Source Code Processing. 30-38 - Yixuan Cao
, Feng Hong, Hongwei Li, Ping Luo:
A Bottom-Up DAG Structure Extraction Model for Math Word Problems. 39-46 - Zhen Chen, Jun Zhang, Shuanlong Che, Junzhou Huang, Xiao Han, Yixuan Yuan:
Diagnose Like A Pathologist: Weakly-Supervised Pathologist-Tree Network for Slide-Level Immunohistochemical Scoring. 47-54 - Rui Cheng, Qing Li:
Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks. 55-62 - Abir De, Soumen Chakrabarti:
Differentially Private Link Prediction with Protected Connections. 63-71 - Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam:
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application. 72-80 - Yaqian Dun, Kefei Tu, Chen Chen, Chunyan Hou, Xiaojie Yuan:
KAN: Knowledge-aware Attention Network for Fake News Detection. 81-89 - Chinmoy Dutta:
When Hashing Met Matching: Efficient Spatio-Temporal Search for Ridesharing. 90-98 - Yue Fan, Xiuli Ma:
Gene Regulatory Network Inference using 3D Convolutional Neural Network. 99-106 - Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu:
Universal Trading for Order Execution with Oracle Policy Distillation. 107-115 - Chun-Mei Feng, Zhanyuan Yang, Geng Chen, Yong Xu, Ling Shao:
Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction. 116-124 - Tianfan Fu, Cao Xiao, Xinhao Li, Lucas M. Glass, Jimeng Sun:
MIMOSA: Multi-constraint Molecule Sampling for Molecule Optimization. 125-133 - Tomer Golany, Daniel Freedman, Kira Radinsky:
ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning. 134-141 - Sai Krishna Gottipati, Yashaswi Pathak, Boris Sattarov, Sahir, Rohan Nuttall, Mohammad Amini, Matthew E. Taylor, Sarath Chandar:
Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery. 142-150 - Kan Guo, Yongli Hu, Yanfeng Sun, Sean Qian, Junbin Gao, Baocai Yin:
Hierarchical Graph Convolution Network for Traffic Forecasting. 151-159 - Yue Guo, Wei Qiu, Yizhong Wang, Trevor Cohen:
Automated Lay Language Summarization of Biomedical Scientific Reviews. 160-168 - Sijie He, Xinyan Li, Timothy DelSole, Pradeep Ravikumar, Arindam Banerjee:
Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances. 169-177 - Wen-Yi Hsiao, Jen-Yu Liu, Yin-Cheng Yeh, Yi-Hsuan Yang:
Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs. 178-186 - Jiawen Huang, Ju-Chiang Wang, Jordan B. L. Smith, Xuchen Song, Yuxuan Wang:
Modeling the Compatibility of Stem Tracks to Generate Music Mashups. 187-195 - Junjie Huang, Huawei Shen, Liang Hou, Xueqi Cheng:
SDGNN: Learning Node Representation for Signed Directed Networks. 196-203 - Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Nanbo Peng, Dongdong Wang, Zhixiang Huang:
The Causal Learning of Retail Delinquency. 204-212 - Kentaro Imajo, Kentaro Minami, Katsuya Ito, Kei Nakagawa:
Deep Portfolio Optimization via Distributional Prediction of Residual Factors. 213-222 - Valentin Iovene, Gaston E. Zanitti, Demian Wassermann:
Complex Coordinate-Based Meta-Analysis with Probabilistic Programming. 223-231 - Houye Ji, Junxiong Zhu, Xiao Wang, Chuan Shi, Bai Wang, Xiaoye Tan, Yanghua Li, Shaojian He:
Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce. 232-239 - Fahad Kamran, Jenna Wiens:
Estimating Calibrated Individualized Survival Curves with Deep Learning. 240-248 - Rohan S. Kodialam, Rebecca Boiarsky, Justin Lim, Aditya Sai, Neil Dixit, David A. Sontag:
Deep Contextual Clinical Prediction with Reverse Distillation. 249-258 - Li-Cheng Lan, Ti-Rong Wu, I-Chen Wu, Cho-Jui Hsieh:
Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search. 259-267 - Jihyeon Janel Lee, Dylan Grosz, Burak Uzkent, Sicheng Zeng, Marshall Burke, David B. Lobell, Stefano Ermon:
Predicting Livelihood Indicators from Community-Generated Street-Level Imagery. 268-276 - Kookjin Lee, Kevin T. Carlberg:
Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws. 277-285 - Bing Li, Wei Cui, Wei Wang, Le Zhang, Zhenghua Chen, Min Wu:
Two-Stream Convolution Augmented Transformer for Human Activity Recognition. 286-293 - Mingqian Li, Panrong Tong, Mo Li, Zhongming Jin, Jianqiang Huang, Xian-Sheng Hua:
Traffic Flow Prediction with Vehicle Trajectories. 294-302 - Yu Li, Yi Zhang, Lu Gan, Gengwei Hong, Zimu Zhou, Qiang Li:
RevMan: Revenue-aware Multi-task Online Insurance Recommendation. 303-310 - Jiangke Lin, Yi Yuan, Zhengxia Zou:
MeInGame: Create a Game Character Face from a Single Portrait. 311-319 - Hao Liu, Qiyu Wu, Fuzhen Zhuang, Xinjiang Lu, Dejing Dou, Hui Xiong:
Community-Aware Multi-Task Transportation Demand Prediction. 320-327 - Lewis Liu, Kun Zhao:
Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems. 328-335 - Lijuan Liu, Yin Yang, Yi Yuan, Tianjia Shao, He Wang, Kun Zhou:
In-game Residential Home Planning via Visual Context-aware Global Relation Learning. 336-343 - Ping Liu, Mustafa Bilgic:
Relational Classification of Biological Cells in Microscopy Images. 344-352 - Xueting Liu, Wenliang Wu, Huisi Wu, Zhenkun Wen:
Deep Style Transfer for Line Drawings. 353-361 - Ziyi Liu, Fulin Luo, Bo Du:
RNA Secondary Structure Representation Network for RNA-proteins Binding Prediction. 362-370 - Yuan Luo, Chengsheng Mao:
PANTHER: Pathway Augmented Nonnegative Tensor Factorization for HighER-order Feature Learning. 371-380 - Julian R. H. Mariño, Rubens O. Moraes, Tassiana C. Oliveira, Cláudio Toledo, Levi H. S. Lelis:
Programmatic Strategies for Real-Time Strategy Games. 381-389 - Christos Markos, James J. Q. Yu, Richard Yi Da Xu:
Capturing Uncertainty in Unsupervised GPS Trajectory Segmentation Using Bayesian Deep Learning. 390-398 - Rambod Mojgani, Maciej Balajewicz:
Low-Rank Registration Based Manifolds for Convection-Dominated PDEs. 399-407 - Aashiq Muhamed, Liang Li, Xingjian Shi, Suri Yaddanapudi, Wayne Chi, Dylan Jackson, Rahul Suresh, Zachary C. Lipton, Alexander J. Smola:
Symbolic Music Generation with Transformer-GANs. 408-417 - Corey J. Nolet, Victor Lafargue, Edward Raff, Thejaswi Nanditale, Tim Oates, John Zedlewski, Joshua Patterson:
Bringing UMAP Closer to the Speed of Light with GPU Acceleration. 418-426 - Sheena Panthaplackel, Junyi Jessy Li, Milos Gligoric, Raymond J. Mooney:
Deep Just-In-Time Inconsistency Detection Between Comments and Source Code. 427-435 - Cheng Peng, Haofu Liao, Gina Wong, Jiebo Luo, S. Kevin Zhou, Rama Chellappa:
XraySyn: Realistic View Synthesis From a Single Radiograph Through CT Priors. 436-444 - Gabriel Poesia, Noah D. Goodman:
Pragmatic Code Autocomplete. 445-452 - P. K. S. Prakash, Srinivas Chilukuri, Nikhil Ranade, Shankar Viswanathan:
RareBERT: Transformer Architecture for Rare Disease Patient Identification using Administrative Claims. 453-460 - Majid Raeis, Ali Tizghadam, Alberto Leon-Garcia:
Queue-Learning: A Reinforcement Learning Approach for Providing Quality of Service. 461-468 - Edward Raff:
Research Reproducibility as a Survival Analysis. 469-478 - Md. Mahmudur Rahman, Koji Matsuo, Shinya Matsuzaki, Sanjay Purushotham:
DeepPseudo: Pseudo Value Based Deep Learning Models for Competing Risk Analysis. 479-487 - Pritam Sarkar, Ali Etemad:
CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG. 488-496 - Ramit Sawhney, Shivam Agarwal, Arnav Wadhwa, Tyler Derr, Rajiv Ratn Shah:
Stock Selection via Spatiotemporal Hypergraph Attention Network: A Learning to Rank Approach. 497-504 - Peter Schaldenbrand, Jean Oh:
Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent. 505-512 - Eugene Seo, Rebecca A. Hutchinson, Xiao Fu, Chelsea Li, Tyler A. Hallman, John Kilbride, W. Douglas Robinson:
StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling. 513-521 - Hoon Seo, Lodewijk Brand, Hua Wang, Feiping Nie:
Integrating Static and Dynamic Data for Improved Prediction of Cognitive Declines Using Augmented Genotype-Phenotype Representations. 522-530 - Seung-Woo Seo, You Young Song, June Yong Yang, Seohui Bae, Hankook Lee, Jinwoo Shin, Sung Ju Hwang, Eunho Yang:
GTA: Graph Truncated Attention for Retrosynthesis. 531-539 - Rongye Shi, Zhaobin Mo, Xuan Di:
Physics-Informed Deep Learning for Traffic State Estimation: A Hybrid Paradigm Informed By Second-Order Traffic Models. 540-547 - Zijian Shi, Yu Chen, John Cartlidge:
The LOB Recreation Model: Predicting the Limit Order Book from TAQ History Using an Ordinary Differential Equation Recurrent Neural Network. 548-556 - Amila Silva, Ling Luo, Shanika Karunasekera, Christopher Leckie:
Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data. 557-565 - Weinan Song, Yuan Liang, Jiawei Yang, Kun Wang, Lei He:
Oral-3D: Reconstructing the 3D Structure of Oral Cavity from Panoramic X-ray. 566-573 - Liucheng Sun, Chenwei Weng, Chengfu Huo, Weijun Ren, Guochuan Zhang, Xin Li:
Traffic Shaping in E-Commercial Search Engine: Multi-Objective Online Welfare Maximization. 574-581 - Xiangyun Tang, Dongliang Liao, Weijie Huang, Jin Xu, Liehuang Zhu, Meng Shen:
Fully Exploiting Cascade Graphs for Real-time Forwarding Prediction. 582-590 - Donna Tjandra, Yifei He, Jenna Wiens:
A Hierarchical Approach to Multi-Event Survival Analysis. 591-599 - Ruben Tolosana, Paula Delgado-Santos, Andrés Pérez-Uribe, Rubén Vera-Rodríguez, Julian Fiérrez, Aythami Morales:
DeepWriteSYN: On-Line Handwriting Synthesis via Deep Short-Term Representations. 600-608 - Zhengyan Tong, Xuanhong Chen, Bingbing Ni, Xiaohang Wang:
Sketch Generation with Drawing Process Guided by Vector Flow and Grayscale. 609-616 - Qin Wang, Boyuan Wang, Zhenlei Xu, Jiaxiang Wu, Peilin Zhao, Zhen Li, Sheng Wang, Junzhou Huang, Shuguang Cui:
PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning. 617-625 - Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao:
Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. 626-633 - Shuxin Wang, Shilei Cao, Dong Wei, Cong Xie, Kai Ma, Liansheng Wang, Deyu Meng, Yefeng Zheng:
Alternative Baselines for Low-Shot 3D Medical Image Segmentation - An Atlas Perspective. 634-642 - Zhicheng Wang, Biwei Huang, Shikui Tu, Kun Zhang, Lei Xu:
DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding. 643-650 - Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson:
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. 651-659 - Hengrui Xing, Ansaf Salleb-Aouissi, Nakul Verma:
Automated Symbolic Law Discovery: A Computer Vision Approach. 660-668 - Bingyu Xu, Yaowei Wang, Zhaozhi Wang, Huizhu Jia, Zongqing Lu:
Hierarchically and Cooperatively Learning Traffic Signal Control. 669-677 - Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang:
Deep Partial Rank Aggregation for Personalized Attributes. 678-688 - Chengcheng Yang, Lisi Chen, Hao Wang, Shuo Shang:
Towards Efficient Selection of Activity Trajectories based on Diversity and Coverage. 689-696 - Siqi Yang, Jun Zhang, Junzhou Huang, Brian C. Lovell, Xiao Han:
Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels. 697-705 - Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu:
Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. 706-714 - Chaohe Zhang, Xin Gao, Liantao Ma, Yasha Wang, Jiangtao Wang, Wen Tang:
GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients. 715-723 - Xinyu Zhang, Yirui Wang, Chi-Tung Cheng, Le Lu, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao:
Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation. 724-732 - Ying Zhang, Yifang Yin, Zhenguang Liu, Roger Zimmermann:
A Spatial Regulated Patch-Wise Approach for Cervical Dysplasia Diagnosis. 733-740 - Hang Zhao, Qijin She, Chenyang Zhu, Yin Yang, Kai Xu:
Online 3D Bin Packing with Constrained Deep Reinforcement Learning. 741-749 - Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu:
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems. 750-758 - Xianda Zheng, Yuan-Fang Li, Huan Gao, Yuncheng Hua, Guilin Qi:
Towards Balanced Defect Prediction with Better Information Propagation. 759-767 - Yi Zhou, Lei Huang, Tianfei Zhou, Ling Shao:
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification. 768-776
AAAI Technical Track on Cognitive Modeling and Cognitive Systems
- Fahad Alhasoun, Sarah Alnegheimish:
Probabilistic Programming Bots in Intuitive Physics Game Play. 778-783 - Soumya Chatterjee, Pradeep Shenoy:
Model-Agnostic Fits for Understanding Information Seeking Patterns in Humans. 784-791 - Haiyang Chen, Hyung Jin Chang, Andrew Howes:
Apparently Irrational Choice as Optimal Sequential Decision Making. 792-800 - Kezhen Chen, Kenneth D. Forbus:
Visual Relation Detection using Hybrid Analogical Learning. 801-808 - Maxwell Crouse, Constantine Nakos, Ibrahim Abdelaziz, Kenneth D. Forbus:
Neural Analogical Matching. 809-817 - Arun Das, Jeffrey Mock, Yufei Huang, Edward J. Golob, Peyman Najafirad:
Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders. 818-826 - Dimitris Gkoumas, Qiuchi Li, Shahram Dehdashti, Massimo Melucci, Yijun Yu, Dawei Song:
Quantum Cognitively Motivated Decision Fusion for Video Sentiment Analysis. 827-835 - Hak Gu Kim, Sangmin Lee, Seongyeop Kim, Heoun-taek Lim, Yong Man Ro:
Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents. 836-844 - Aviv Netanyahu, Tianmin Shu, Boris Katz, Andrei Barbu, Joshua B. Tenenbaum:
PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception. 845-853 - Yoon-Je Suh, Byung Hyung Kim:
Riemannian Embedding Banks for Common Spatial Patterns with EEG-based SPD Neural Networks. 854-862 - Li-Ming Zhao, Xu Yan, Bao-Liang Lu:
Plug-and-Play Domain Adaptation for Cross-Subject EEG-based Emotion Recognition. 863-870
AAAI-21 Technical Tracks 2
AAAI Technical Track on Computer Vision I
- Shahira Abousamra, Minh Hoai, Dimitris Samaras, Chao Chen:
Localization in the Crowd with Topological Constraints. 872-881 - Soikat Hasan Ahmed, Hae Woong Jang, S. M. Nadim Uddin, Yong Ju Jung:
Deep Event Stereo Leveraged by Event-to-Image Translation. 882-890 - Dawit Mureja Argaw, Junsik Kim, François Rameau, Jae-Won Cho, In So Kweon:
Optical Flow Estimation from a Single Motion-blurred Image. 891-900 - Dawit Mureja Argaw, Junsik Kim, François Rameau, In So Kweon:
Motion-blurred Video Interpolation and Extrapolation. 901-910 - Inhwan Bae, Hae-Gon Jeon:
Disentangled Multi-Relational Graph Convolutional Network for Pedestrian Trajectory Prediction. 911-919 - Peijun Bao, Qian Zheng, Yadong Mu:
Dense Events Grounding in Video. 920-928 - Ardhendu Behera, Zachary Wharton, Pradeep R. P. G. Hewage, Asish Bera:
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification. 929-937 - Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, Zhifeng Hao:
Appearance-Motion Memory Consistency Network for Video Anomaly Detection. 938-946 - Yuanqiang Cai, Longyin Wen, Libo Zhang, Dawei Du, Weiqiang Wang:
Rethinking Object Detection in Retail Stores. 947-954 - Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang:
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. 955-963 - Vincent Cartillier, Zhile Ren, Neha Jain, Stefan Lee, Irfan Essa, Dhruv Batra:
Semantic MapNet: Building Allocentric Semantic Maps and Representations from Egocentric Views. 964-972 - Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy:
Understanding Deformable Alignment in Video Super-Resolution. 973-981 - Binghui Chen, Pengyu Li, Zhaoyi Yan, Biao Wang, Lei Zhang:
Deep Metric Learning with Graph Consistency. 982-990 - Boyo Chen, Buo-Fu Chen, Chun-Min Hsiao:
CNN Profiler on Polar Coordinate Images for Tropical Cyclone Structure Analysis. 991-998 - Hong Chen, Yifei Huang, Hiroya Takamura, Hideki Nakayama:
Commonsense Knowledge Aware Concept Selection For Diverse and Informative Visual Storytelling. 999-1008 - Jiaxin Chen, Shuo Zhang, Youfang Lin:
Attention-based Multi-Level Fusion Network for Light Field Depth Estimation. 1009-1017 - Jierun Chen, Song Wen, S.-H. Gary Chan:
Joint Demosaicking and Denoising in the Wild: The Case of Training Under Ground Truth Uncertainty. 1018-1026 - Jin Chen, Xinxiao Wu, Yao Hu, Jiebo Luo:
Spatial-temporal Causal Inference for Partial Image-to-video Adaptation. 1027-1035 - Long Chen, Wenbo Ma, Jun Xiao, Hanwang Zhang, Shih-Fu Chang:
Ref-NMS: Breaking Proposal Bottlenecks in Two-Stage Referring Expression Grounding. 1036-1044 - Peihao Chen, Deng Huang, Dongliang He, Xiang Long, Runhao Zeng, Shilei Wen, Mingkui Tan, Chuang Gan:
RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning. 1045-1053 - Peixian Chen, Pingyang Dai, Jianzhuang Liu, Feng Zheng, Mingliang Xu, Qi Tian, Rongrong Ji:
Dual Distribution Alignment Network for Generalizable Person Re-Identification. 1054-1062 - Qian Chen, Ze Liu, Yi Zhang, Keren Fu, Qijun Zhao, Hongwei Du:
RGB-D Salient Object Detection via 3D Convolutional Neural Networks. 1063-1071 - Qingchao Chen, Yang Liu, Samuel Albanie:
Mind-the-Gap! Unsupervised Domain Adaptation for Text-Video Retrieval. 1072-1080 - Shen Chen, Taiping Yao, Yang Chen, Shouhong Ding, Jilin Li, Rongrong Ji:
Local Relation Learning for Face Forgery Detection. 1081-1088 - Xipeng Chen, Pengxu Wei, Liang Lin:
Deductive Learning for Weakly-Supervised 3D Human Pose Estimation via Uncalibrated Cameras. 1089-1096 - Xuesong Chen, Canmiao Fu, Feng Zheng, Yong Zhao, Hongsheng Li, Ping Luo, Guo-Jun Qi:
A Unified Multi-Scenario Attacking Network for Visual Object Tracking. 1097-1104 - Yuanqi Chen, Ge Li, Cece Jin, Shan Liu, Thomas H. Li:
SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains. 1105-1112 - Zhan Chen, Sicheng Li, Bing Yang, Qinghan Li, Hong Liu:
Multi-Scale Spatial Temporal Graph Convolutional Network for Skeleton-Based Action Recognition. 1113-1122 - Zhi Chen, Fan Yang, Wenbing Tao:
Cascade Network with Guided Loss and Hybrid Attention for Finding Good Correspondences. 1123-1131 - Zhihong Chen, Taiping Yao, Kekai Sheng, Shouhong Ding, Ying Tai, Jilin Li, Feiyue Huang, Xinyu Jin:
Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing. 1132-1139 - Mingmei Cheng, Le Hui, Jin Xie, Jian Yang:
SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network. 1140-1147 - Siyuan Cheng, Yingqi Liu, Shiqing Ma, Xiangyu Zhang:
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification. 1148-1156 - Yu Cheng, Bo Wang, Bo Yang, Robby T. Tan:
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos. 1157-1165 - Seongho Choi, Kyoung-Woon On, Yu-Jung Heo, Ahjeong Seo, Youwon Jang, Min Su Lee, Byoung-Tak Zhang:
DramaQA: Character-Centered Video Story Understanding with Hierarchical QA. 1166-1174 - Bo Cui, Guyue Hu, Shan Yu:
DeepCollaboration: Collaborative Generative and Discriminative Models for Class Incremental Learning. 1175-1183 - Xiaodong Cun, Chi-Man Pun:
Split then Refine: Stacked Attention-guided ResUNets for Blind Single Image Visible Watermark Removal. 1184-1192 - Yan Dai, Xuanhan Wang, Lianli Gao, Jingkuan Song, Heng Tao Shen:
RSGNet: Relation based Skeleton Graph Network for Crowded Scenes Pose Estimation. 1193-1200 - Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, Houqiang Li:
Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection. 1201-1209 - Yingying Deng, Fan Tang, Weiming Dong, Haibin Huang, Chongyang Ma, Changsheng Xu:
Arbitrary Video Style Transfer via Multi-Channel Correlation. 1210-1217 - Haiwen Diao, Ying Zhang, Lin Ma, Huchuan Lu:
Similarity Reasoning and Filtration for Image-Text Matching. 1218-1226 - Chongyang Ding, Kai Liu, Jari Korhonen, Evgeny Belyaev:
Spatio-Temporal Difference Descriptor for Skeleton-Based Action Recognition. 1227-1235 - Li Ding, Yongwei Wang, Kaiwen Yuan, Minyang Jiang, Ping Wang, Hua Huang, Z. Jane Wang:
Towards Universal Physical Attacks on Single Object Tracking. 1236-1245 - Yuhang Ding, Xin Yu, Yi Yang:
Modeling the Probabilistic Distribution of Unlabeled Data for One-shot Medical Image Segmentation. 1246-1254 - Songlin Dong, Xiaopeng Hong, Xiaoyu Tao, Xinyuan Chang, Xing Wei, Yihong Gong:
Few-Shot Class-Incremental Learning via Relation Knowledge Distillation. 1255-1263 - Xuan Dong, Xiaoyan Hu, Weixin Li, Xiaojie Wang, Yunhong Wang:
MIEHDR CNN: Main Image Enhancement based Ghost-Free High Dynamic Range Imaging using Dual-Lens Systems. 1264-1272 - Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli, Xuhui Jia, Yukun Zhu, Bradley Green:
Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze. 1273-1281 - Xuefeng Du, Chenhan Jiang, Hang Xu, Gengwei Zhang, Zhenguo Li:
How to Save your Annotation Cost for Panoptic Segmentation? 1282-1290 - Haoshu Fang, Yichen Xie, Dian Shao, Cewu Lu:
DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection. 1291-1299 - Haoshu Fang, Yichen Xie, Dian Shao, Yong-Lu Li, Cewu Lu:
DecAug: Augmenting HOI Detection via Decomposition. 1300-1308 - Zhengcong Fei:
Partially Non-Autoregressive Image Captioning. 1309-1316 - Zhengcong Fei:
Memory-Augmented Image Captioning. 1317-1324 - Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song:
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels. 1325-1333 - Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song:
Visual Boundary Knowledge Translation for Foreground Segmentation. 1334-1342 - Mihai Fieraru, Mihai Zanfir, Elisabeta Oneata, Alin-Ionut Popa, Vlad Olaru, Cristian Sminchisescu:
Learning Complex 3D Human Self-Contact. 1343-1351 - Xueyang Fu, Qi Qi, Zheng-Jun Zha, Yurui Zhu, Xinghao Ding:
Rain Streak Removal via Dual Graph Convolutional Network. 1352-1360 - Yang Fu, Linjie Yang, Ding Liu, Thomas S. Huang, Humphrey Shi:
CompFeat: Comprehensive Feature Aggregation for Video Instance Segmentation. 1361-1369 - Zheren Fu, Yan Li, Zhendong Mao, Quan Wang, Yongdong Zhang:
Deep Metric Learning with Self-Supervised Ranking. 1370-1378 - Pritha Ganguly, Nitesh S. Methani, Mitesh M. Khapra, Pratyush Kumar:
A Systematic Evaluation of Object Detection Networks for Scientific Plots. 1379-1387 - Robert Ganian, Thekla Hamm, Sebastian Ordyniak:
The Complexity of Object Association in Multiple Object Tracking. 1388-1396 - Zhongpai Gao, Junchi Yan, Guangtao Zhai, Juyong Zhang, Yiyan Yang, Xiaokang Yang:
Learning Local Neighboring Structure for Robust 3D Shape Representation. 1397-1405 - Jiannan Ge, Hongtao Xie, Shaobo Min, Yongdong Zhang:
Semantic-guided Reinforced Region Embedding for Generalized Zero-Shot Learning. 1406-1414 - Shijie Geng, Peng Gao, Moitreya Chatterjee, Chiori Hori, Jonathan Le Roux, Yongfeng Zhang, Hongsheng Li, Anoop Cherian:
Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers. 1415-1423 - Jingyu Gong, Jiachen Xu, Xin Tan, Jie Zhou, Yanyun Qu, Yuan Xie, Lizhuang Ma:
Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds. 1424-1432 - Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Danda Pani Paudel, Luc Van Gool:
Analogical Image Translation for Fog Generation. 1433-1441 - Tao Gong, Kai Chen, Xinjiang Wang, Qi Chu, Feng Zhu, Dahua Lin, Nenghai Yu, Huamin Feng:
Temporal ROI Align for Video Object Recognition. 1442-1450 - Shreyank N. Gowda, Marcus Rohrbach, Laura Sevilla-Lara:
SMART Frame Selection for Action Recognition. 1451-1459 - Geonmo Gu, ByungSoo Ko, Han-Gyu Kim:
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning. 1460-1468 - Jindong Gu:
Interpretable Graph Capsule Networks for Object Recognition. 1469-1477 - Yanan Gu, Cheng Deng, Kun Wei:
Class-Incremental Instance Segmentation via Multi-Teacher Networks. 1478-1486 - Qing Guo, Jingyang Sun, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Wei Feng, Yang Liu, Jianjun Zhao:
EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining. 1487-1495 - Tianchu Guo, Hui Zhang, ByungIn Yoo, Yongchao Liu, Youngjun Kwak, Jae-Joon Han:
Order Regularization on Ordinal Loss for Head Pose, Age and Gaze Estimation. 1496-1504 - Chuchu Han, Zhedong Zheng, Changxin Gao, Nong Sang, Yi Yang:
Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search. 1505-1512 - Takayuki Hara, Yusuke Mukuta, Tatsuya Harada:
Spherical Image Generation from a Single Image by Considering Scene Symmetry. 1513-1521 - Haoyu He, Jing Zhang, Bhavani Thuraisingham, Dacheng Tao:
Progressive One-shot Human Parsing. 1522-1530 - Xingjian He, Jing Liu, Jun Fu, Xinxin Zhu, Jinqiao Wang, Hanqing Lu:
Consistent-Separable Feature Representation for Semantic Segmentation. 1531-1539 - Yuhang He, Zhiheng Ma, Xing Wei, Xiaopeng Hong, Wei Ke, Yihong Gong:
Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting. 1540-1548 - Ting-I Hsieh, Esther Robb, Hwann-Tzong Chen, Jia-Bin Huang:
DropLoss for Long-Tail Instance Segmentation. 1549-1557 - Hezhen Hu, Wengang Zhou, Houqiang Li:
Hand-Model-Aware Sign Language Recognition. 1558-1566 - Sheng Hu, Yuqing Ma, Xianglong Liu, Yanlu Wei, Shihao Bai:
Stratified Rule-Aware Network for Abstract Visual Reasoning. 1567-1574 - Xiaowei Hu, Xi Yin, Kevin Lin, Lei Zhang, Jianfeng Gao, Lijuan Wang, Zicheng Liu:
VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning. 1575-1583 - Tianyu Hua, Hongdong Zheng, Yalong Bai, Wei Zhang, Xiao-Ping Zhang, Tao Mei:
Exploiting Relationship for Complex-scene Image Generation. 1584-1592 - Bingyao Huang, Ruyi Lian, Dimitris Samaras, Haibin Ling:
Modeling Deep Learning Based Privacy Attacks on Physical Mail. 1593-1601 - Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu:
PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning. 1602-1609 - Pin-Hao Huang, Han-Hung Lee, Hwann-Tzong Chen, Tyng-Luh Liu:
Text-Guided Graph Neural Networks for Referring 3D Instance Segmentation. 1610-1618 - Qidong Huang, Jie Zhang, Wenbo Zhou, Weiming Zhang, Nenghai Yu:
Initiative Defense against Facial Manipulation. 1619-1627 - Shaoli Huang, Xinchao Wang, Dacheng Tao:
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data. 1628-1636 - Ashraful Islam, Chengjiang Long, Richard J. Radke:
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization. 1637-1645 - Deyi Ji, Haoran Wang, Hanzhe Hu, Weihao Gan, Wei Wu, Junjie Yan:
Context-Aware Graph Convolution Network for Target Re-identification. 1646-1654 - Jiayi Ji, Yunpeng Luo, Xiaoshuai Sun, Fuhai Chen, Gen Luo, Yongjian Wu, Yue Gao, Rongrong Ji:
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network. 1655-1663 - Xiaozhong Ji, Guangpin Tao, Yun Cao, Ying Tai, Tong Lu, Chengjie Wang, Jilin Li, Feiyue Huang:
Frequency Consistent Adaptation for Real World Super Resolution. 1664-1672 - Mengxi Jia, Xinhua Cheng, Yunpeng Zhai, Shijian Lu, Siwei Ma, Yonghong Tian, Jian Zhang:
Matching on Sets: Conquer Occluded Person Re-identification Without Alignment. 1673-1681 - Qifei Jia, Shikui Wei, Tao Ruan, Yufeng Zhao, Yao Zhao:
GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates. 1682-1690 - Xiaoke Jiang, Yu Qiao, Junjie Yan, Qichen Li, Wanrong Zheng, Dapeng Chen:
SSN3D: Self-Separated Network to Align Parts for 3D Convolution in Video Person Re-Identification. 1691-1699 - Xinrui Jiang, Nannan Wang, Jingwei Xin, Keyu Li, Xi Yang, Xinbo Gao:
Training Binary Neural Network without Batch Normalization for Image Super-Resolution. 1700-1707 - Yangbangyan Jiang, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models. 1708-1716 - Sheng Jin, Qin Zhou, Hongxun Yao, Yao Liu, Xian-Sheng Hua:
Asynchronous Teacher Guided Bit-wise Hard Mining for Online Hashing. 1717-1724 - Hyungjoo Jung, Hyunsung Jang, Namkoo Ha, Kwanghoon Sohn:
Deep Low-Contrast Image Enhancement using Structure Tensor Representation. 1725-1733 - Steffen Jung, Margret Keuper:
Spectral Distribution Aware Image Generation. 1734-1742 - Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Feris, Alex M. Bronstein, Raja Giryes:
StarNet: towards Weakly Supervised Few-Shot Object Detection. 1743-1753 - Beomyoung Kim, Sangeun Han, Junmo Kim:
Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation. 1754-1761 - Hak Gu Kim, Minho Park, Sangmin Lee, Seongyeop Kim, Yong Man Ro:
Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images. 1762-1770 - Jongseok Kim, Youngjae Yu, Hoeseong Kim, Gunhee Kim:
Dual Compositional Learning in Interactive Image Retrieval. 1771-1779 - Jung Hee Kim, Siyeong Lee, Suk-Ju Kang:
End-to-End Differentiable Learning to HDR Image Synthesis for Multi-exposure Images. 1780-1788 - Junyeong Kim, Sunjae Yoon, Dahyun Kim, Chang D. Yoo:
Structured Co-reference Graph Attention for Video-grounded Dialogue. 1789-1797
AAAI-21 Technical Tracks 3
AAAI Technical Track on Computer Vision II
- Minsu Kim, Sunghun Joung, Seungryong Kim, Jungin Park, Ig-Jae Kim, Kwanghoon Sohn:
Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation. 1799-1807 - Soopil Kim, Sion An, Philip Chikontwe, Sang Hyun Park:
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation. 1808-1816 - Tae Soo Kim, Jonathan D. Jones, Michael Peven, Zihao Xiao, Jin Bai, Yi Zhang, Weichao Qiu, Alan L. Yuille, Gregory D. Hager:
DASZL: Dynamic Action Signatures for Zero-shot Learning. 1817-1826 - Yonghyun Kim, Wonpyo Park:
Multi-level Distance Regularization for Deep Metric Learning. 1827-1835 - Prashant Kumar, Sabyasachi Sahoo, Vanshil Shah, Vineetha Kondameedi, Abhinav Jain, Akshaj Verma, Chiranjib Bhattacharyya, Vinay Vishwanath:
Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder. 1836-1844 - Doyup Lee, Yeongjae Cheon, Wook-Shin Han:
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering. 1845-1853 - Pilhyeon Lee, Jinglu Wang, Yan Lu, Hyeran Byun:
Weakly-supervised Temporal Action Localization by Uncertainty Modeling. 1854-1862 - Seokju Lee, Sunghoon Im, Stephen Lin, In So Kweon:
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency. 1863-1872 - Sihaeng Lee, Janghyeon Lee, Byungju Kim, Eojindl Yi, Junmo Kim:
Patch-Wise Attention Network for Monocular Depth Estimation. 1873-1881 - Marius Leordeanu, Mihai Cristian Pîrvu, Dragos Costea, Alina Elena Marcu, Emil Slusanschi, Rahul Sukthankar:
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus. 1882-1892 - Huan Li, Ping Wei, Ping Hu:
Static-Dynamic Interaction Networks for Offline Signature Verification. 1893-1901 - Kun Li, Dan Guo, Meng Wang:
Proposal-Free Video Grounding with Contextual Pyramid Network. 1902-1910 - Lincheng Li, Suzhen Wang, Zhimeng Zhang, Yu Ding, Yixing Zheng, Xin Yu, Changjie Fan:
Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generation. 1911-1920 - Moran Li, Yuan Gao, Nong Sang:
Exploiting Learnable Joint Groups for Hand Pose Estimation. 1921-1929 - Peixuan Li, Shun Su, Huaici Zhao:
RTS3D: Real-time Stereo 3D Detection from 4D Feature-Consistency Embedding Space for Autonomous Driving. 1930-1939 - Pengyu Li, Biao Wang, Lei Zhang:
Adversarial Pose Regression Network for Pose-Invariant Face Recognitions. 1940-1948 - Shuai Li, Jianqiang Huang, Xian-Sheng Hua, Lei Zhang:
Category Dictionary Guided Unsupervised Domain Adaptation for Object Detection. 1949-1957 - Weijia Li, Wenqian Zhao, Huaping Zhong, Conghui He, Dahua Lin:
Joint Semantic-geometric Learning for Polygonal Building Segmentation. 1958-1965 - Xiangyu Li, Zhe Xu, Kun Wei, Cheng Deng:
Generalized Zero-Shot Learning via Disentangled Representation. 1966-1974 - Xin Li, Xin Jin, Tao Yu, Simeng Sun, Yingxue Pang, Zhizheng Zhang, Zhibo Chen:
Learning Omni-Frequency Region-adaptive Representations for Real Image Super-Resolution. 1975-1983 - Xueyi Li, Tianfei Zhou, Jianwu Li, Yi Zhou, Zhaoxiang Zhang:
Group-Wise Semantic Mining for Weakly Supervised Semantic Segmentation. 1984-1992 - Yanan Li, Pengyang Li, Han Cui, Donghui Wang:
Inference Fusion with Associative Semantics for Unseen Object Detection. 1993-2001 - Yunqiang Li, Jan van Gemert:
Deep Unsupervised Image Hashing by Maximizing Bit Entropy. 2002-2010 - Zhengjia Li, Duoqian Miao:
Sequential End-to-end Network for Efficient Person Search. 2011-2019 - Zhigang Li, Yinlin Hu, Mathieu Salzmann, Xiangyang Ji:
SD-Pose: Semantic Decomposition for Cross-Domain 6D Object Pose Estimation. 2020-2028 - Rongqin Liang, Yuanman Li, Xia Li, Yi Tang, Jiantao Zhou, Wenbin Zou:
Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision. 2029-2037 - Fanchao Lin, Hongtao Xie, Yan Li, Yongdong Zhang:
Query-Memory Re-Aggregation for Weakly-supervised Video Object Segmentation. 2038-2046 - Ke Lin, Zhuoxin Gan, Liwei Wang:
Augmented Partial Mutual Learning with Frame Masking for Video Captioning. 2047-2055 - Yan-Bo Lin, Yu-Chiang Frank Wang:
Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation. 2056-2063 - Yu Lin, Yigong Wang, Yi-Fan Li, Zhuoyi Wang, Yang Gao, Latifur Khan:
Single View Point Cloud Generation via Unified 3D Prototype. 2064-2072 - Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal:
Self-Supervised Sketch-to-Image Synthesis. 2073-2081 - Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal:
TIME: Text and Image Mutual-Translation Adversarial Networks. 2082-2090 - Chunlei Liu, Peng Chen, Bohan Zhuang, Chunhua Shen, Baochang Zhang, Wenrui Ding:
SA-BNN: State-Aware Binary Neural Network. 2091-2099 - Daizong Liu, Shuangjie Xu, Xiao-Yang Liu, Zichuan Xu, Wei Wei, Pan Zhou:
Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation. 2100-2108 - Daizong Liu, Dongdong Yu, Changhu Wang, Pan Zhou:
F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation. 2109-2117 - Guoqiang Liu, Dan Song, Ruofeng Tong, Min Tang:
Toward Realistic Virtual Try-on Through Landmark Guided Shape Matching. 2118-2126 - Hongying Liu, Peng Zhao, Zhubo Ruan, Fanhua Shang, Yuanyuan Liu:
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling. 2127-2135 - Lina Liu, Xibin Song, Xiaoyang Lyu, Junwei Diao, Mengmeng Wang, Yong Liu, Liangjun Zhang:
FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion. 2136-2144 - Liu Liu, Jiangtong Li, Li Niu, Ruicong Xu, Liqing Zhang:
Activity Image-to-Video Retrieval by Disentangling Appearance and Motion. 2145-2153 - Mengyin Liu, Chao Zhu, Jun Wang, Xu-Cheng Yin:
Adaptive Pattern-Parameter Matching for Robust Pedestrian Detection. 2154-2162 - Shenglan Liu, Aibin Zhang, Yunheng Li, Jian Zhou, Li Xu, Zhuben Dong, Renhao Zhang:
Temporal Segmentation of Fine-gained Semantic Action: A Motion-Centered Figure Skating Dataset. 2163-2171 - Shuang Liu, Wenmin Huang, Zhong Zhang:
Learning Hybrid Relationships for Person Re-identification. 2172-2179 - Wenshuang Liu, Wenting Chen, Zhanjia Yang, Linlin Shen:
Translate the Facial Regions You Like Using Self-Adaptive Region Translation. 2180-2188 - Xiaofeng Liu, Xiongchang Liu, Bo Hu, Wenxuan Ji, Fangxu Xing, Jun Lu, Jane You, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo:
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis. 2189-2197 - Yitian Liu, Zhouhui Lian:
FontRL: Chinese Font Synthesis via Deep Reinforcement Learning. 2198-2206 - Yunan Liu, Shanshan Zhang, Jian Yang, Pong Chi Yuen:
Hierarchical Information Passing Based Noise-Tolerant Hybrid Learning for Semi-Supervised Human Parsing. 2207-2215 - Yuxiang Liu, Jidong Ge, Chuanyi Li, Jie Gui:
Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse. 2216-2224 - Zhenguang Liu, Kedi Lyu, Shuang Wu, Haipeng Chen, Yanbin Hao, Shouling Ji:
Aggregated Multi-GANs for Controlled 3D Human Motion Prediction. 2225-2232 - Ziyi Liu, Le Wang, Qilin Zhang, Wei Tang, Junsong Yuan, Nanning Zheng, Gang Hua:
ACSNet: Action-Context Separation Network for Weakly Supervised Temporal Action Localization. 2233-2241 - Ziyi Liu, Le Wang, Wei Tang, Junsong Yuan, Nanning Zheng, Gang Hua:
Weakly Supervised Temporal Action Localization Through Learning Explicit Subspaces for Action and Context. 2242-2250 - Fan Lu, Guang Chen, Sanqing Qu, Zhijun Li, Yinlong Liu, Alois C. Knoll:
PointINet: Point Cloud Frame Interpolation Network. 2251-2259 - Yao Lu, Xiaoli Xu, Mingyu Ding, Zhiwu Lu, Tao Xiang:
A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry. 2260-2268 - Tianyu Luan, Yali Wang, Junhao Zhang, Zhe Wang, Zhipeng Zhou, Yu Qiao:
PC-HMR: Pose Calibration for 3D Human Mesh Recovery from 2D Images/Videos. 2269-2276 - Yiming Luo, Zhenxing Mi, Wenbing Tao:
DeepDT: Learning Geometry From Delaunay Triangulation for Surface Reconstruction. 2277-2285 - Yunpeng Luo, Jiayi Ji, Xiaoshuai Sun, Liujuan Cao, Yongjian Wu, Feiyue Huang, Chia-Wen Lin, Rongrong Ji:
Dual-level Collaborative Transformer for Image Captioning. 2286-2293 - Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan:
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation. 2294-2301 - Mengmeng Ma, Jian Ren, Long Zhao, Sergey Tulyakov, Cathy Wu, Xi Peng:
SMIL: Multimodal Learning with Severely Missing Modality. 2302-2310 - Mingcan Ma, Changqun Xia, Jia Li:
Pyramidal Feature Shrinking for Salient Object Detection. 2311-2318 - Zhiheng Ma, Xing Wei, Xiaopeng Hong, Hui Lin, Yunfeng Qiu, Yihong Gong:
Learning to Count via Unbalanced Optimal Transport. 2319-2327 - Paridhi Maheshwari, Ritwick Chaudhry, Vishwa Vinay:
Scene Graph Embeddings Using Relative Similarity Supervision. 2328-2336 - Pratik Mazumder, Pravendra Singh, Piyush Rai:
Few-Shot Lifelong Learning. 2337-2345 - Matías Mendieta, Hamed Tabkhi:
CARPe Posterum: A Convolutional Approach for Real-Time Pedestrian Path Prediction. 2346-2354 - Qi Ming, Zhiqiang Zhou, Lingjuan Miao, Hongwei Zhang, Linhao Li:
Dynamic Anchor Learning for Arbitrary-Oriented Object Detection. 2355-2363 - Huu-Thanh Nguyen, Chong-Wah Ngo:
Terrace-based Food Counting and Segmentation. 2364-2372 - David Nilsson, Aleksis Pirinen, Erik Gärtner, Cristian Sminchisescu:
Embodied Visual Active Learning for Semantic Segmentation. 2373-2383 - Bo Pang, Yizhuo Li, Jiefeng Li, Muchen Li, Hanwen Cao, Cewu Lu:
TDAF: Top-Down Attention Framework for Vision Tasks. 2384-2392 - Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim:
Few-shot Font Generation with Localized Style Representations and Factorization. 2393-2402 - Sungho Park, Sunhee Hwang, Dohyung Kim, Hyeran Byun:
Learning Disentangled Representation for Fair Facial Attribute Classification via Fairness-aware Information Alignment. 2403-2411 - Sunghyun Park, Kangyeol Kim, Junsoo Lee, Jaegul Choo, Joonseok Lee, Sookyung Kim, Edward Choi:
Vid-ODE: Continuous-Time Video Generation with Neural Ordinary Differential Equation. 2412-2422 - Hai Xuan Pham, Ricardo Guerrero, Vladimir Pavlovic, Jiatong Li:
CHEF: Cross-modal Hierarchical Embeddings for Food Domain Retrieval. 2423-2430 - Vipin Pillai, Hamed Pirsiavash:
Explainable Models with Consistent Interpretations. 2431-2439 - Shengsheng Qian, Dizhan Xue, Huaiwen Zhang, Quan Fang, Changsheng Xu:
Dual Adversarial Graph Neural Networks for Multi-label Cross-modal Retrieval. 2440-2448 - Shenhan Qian, Dongze Lian, Binqiang Zhao, Tong Liu, Bohui Zhu, Hai Li, Shenghua Gao:
KGDet: Keypoint-Guided Fashion Detection. 2449-2457 - Wen Qian, Xue Yang, Silong Peng, Junchi Yan, Yue Guo:
Learning Modulated Loss for Rotated Object Detection. 2458-2466 - Liang Qiao, Ying Chen, Zhanzhan Cheng, Yunlu Xu, Yi Niu, Shiliang Pu, Fei Wu:
MANGO: A Mask Attention Guided One-Stage Scene Text Spotter. 2467-2476 - Jiawei Ren, Cunjun Yu, Zhongang Cai, Mingyuan Zhang, Chongsong Chen, Haiyu Zhao, Shuai Yi, Hongsheng Li:
REFINE: Prediction Fusion Network for Panoptic Segmentation. 2477-2485 - Youngmin Ro, Jin Young Choi:
AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks. 2486-2494 - Xiaofeng Ruan, Yufan Liu, Bing Li, Chunfeng Yuan, Weiming Hu:
DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural Networks from Scratch. 2495-2503 - Anian Ruoss, Maximilian Baader, Mislav Balunovic, Martin T. Vechev:
Efficient Certification of Spatial Robustness. 2504-2513 - Hobin Ryu, Sunghun Kang, Haeyong Kang, Chang D. Yoo:
Semantic Grouping Network for Video Captioning. 2514-2522 - Valentina Sanguineti, Pietro Morerio, Alessio Del Bue, Vittorio Murino:
Audio-Visual Localization by Synthetic Acoustic Image Generation. 2523-2531 - Anindya Sarkar, Anirban Sarkar, Vineeth N. Balasubramanian:
Enhanced Regularizers for Attributional Robustness. 2532-2540 - Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song:
Progressive Network Grafting for Few-Shot Knowledge Distillation. 2541-2549 - Xiaodan Shi, Xiaowei Shao, Guangming Wu, Haoran Zhang, Zhiling Guo, Renhe Jiang, Ryosuke Shibasaki:
Social-DPF: Socially Acceptable Distribution Prediction of Futures. 2550-2557 - Liangchen Song, Jialian Wu, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan:
Robust Knowledge Transfer via Hybrid Forward on the Teacher-Student Model. 2558-2566 - Qi Song, Kangfu Mei, Rui Huang:
AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing. 2567-2575 - Qingyu Song, Changan Wang, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Jian Wu, Jiayi Ma:
To Choose or to Fuse? Scale Selection for Crowd Counting. 2576-2583 - Zeliang Song, Xiaofei Zhou, Zhendong Mao, Jianlong Tan:
Image Captioning with Context-Aware Auxiliary Guidance. 2584-2592 - Serban Stan, Mohammad Rostami:
Unsupervised Model Adaptation for Continual Semantic Segmentation. 2593-2601 - Haisheng Su, Weihao Gan, Wei Wu, Yu Qiao, Junjie Yan:
BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation. 2602-2610 - Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Jiahe Cui, Ji Wan:
MangaGAN: Unpaired Photo-to-Manga Translation Based on The Methodology of Manga Drawing. 2611-2619 - Guanxiong Sun, Yang Hua, Guosheng Hu, Neil Robertson:
MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection. 2620-2627 - He Sun, Katherine L. Bouman:
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging. 2628-2637 - Ke Sun, Hong Liu, Qixiang Ye, Yue Gao, Jianzhuang Liu, Ling Shao, Rongrong Ji:
Domain General Face Forgery Detection by Learning to Weight. 2638-2646 - Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R. Devon Hjelm, Shikhar Sharma:
Object-Centric Image Generation from Layouts. 2647-2655 - Jilin Tang, Yi Yuan, Tianjia Shao, Yong Liu, Mengmeng Wang, Kun Zhou:
Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation. 2656-2664 - Shixiang Tang, Peng Su, Dapeng Chen, Wanli Ouyang:
Gradient Regularized Contrastive Learning for Continual Domain Adaptation. 2665-2673 - Matteo Terzi, Alessandro Achille, Marco Maggipinto, Gian Antonio Susto:
Adversarial Training Reduces Information and Improves Transferability. 2674-2682 - Nurislam Tursynbek, Ilya Vilkoviskiy, Maria Sindeeva, Ivan V. Oseledets:
Adversarial Turing Patterns from Cellular Automata. 2683-2691 - Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic:
Artificial Dummies for Urban Dataset Augmentation. 2692-2700 - Thang Vu, Haeyong Kang, Chang D. Yoo:
SCNet: Training Inference Sample Consistency for Instance Segmentation. 2701-2709 - Chaoqun Wang, Xuejin Chen, Shaobo Min, Xiaoyan Sun, Houqiang Li:
Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning. 2710-2718
AAAI-21 Technical Tracks 4
AAAI Technical Track on Computer Vision III
- Dexin Wang, Deyi Xiong:
Efficient Object-Level Visual Context Modeling for Multimodal Machine Translation: Masking Irrelevant Objects Helps Grounding. 2720-2728 - Dong Wang, Di Hu, Xingjian Li, Dejing Dou:
Temporal Relational Modeling with Self-Supervision for Action Segmentation. 2729-2737 - Jiapeng Wang, Chongyu Liu, Lianwen Jin, Guozhi Tang, Jiaxin Zhang, Shuaitao Zhang, Qianying Wang, Yaqiang Wu, Mingxiang Cai:
Towards Robust Visual Information Extraction in Real World: New Dataset and Novel Solution. 2738-2745 - Jingjing Wang, Jingyi Zhang, Ying Bian, Youyi Cai, Chunmao Wang, Shiliang Pu:
Self-Domain Adaptation for Face Anti-Spoofing. 2746-2754 - Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia:
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. 2755-2763 - Menglin Wang, Baisheng Lai, Jianqiang Huang, Xiaojin Gong, Xian-Sheng Hua:
Camera-Aware Proxies for Unsupervised Person Re-Identification. 2764-2772 - Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou, Zhirong Wu, Yang Liu, Xin Tong:
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination. 2773-2781 - Pengfei Wang, Chengquan Zhang, Fei Qi, Shanshan Liu, Xiaoqiang Zhang, Pengyuan Lyu, Junyu Han, Jingtuo Liu, Errui Ding, Guangming Shi:
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network. 2782-2790 - Shijie Wang, Haojie Li, Zhihui Wang, Wanli Ouyang:
Dynamic Position-aware Network for Fine-grained Image Recognition. 2791-2799 - Tiancai Wang, Tong Yang, Jiale Cao, Xiangyu Zhang:
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection. 2800-2808 - Xiao Wang, Zheng Wang, Toshihiko Yamasaki, Wenjun Zeng:
Very Important Person Localization in Unconstrained Conditions: A New Benchmark. 2809-2816 - Xiaobo Wang:
Teacher Guided Neural Architecture Search for Face Recognition. 2817-2825 - Xiaofei Wang, Mai Xu, Jicong Zhang, Lai Jiang, Liu Li:
Deep Multi-Task Learning for Diabetic Retinopathy Grading in Fundus Images. 2826-2834 - Zhaokai Wang, Renda Bao, Qi Wu, Si Liu:
Confidence-aware Non-repetitive Multimodal Transformers for TextCaps. 2835-2843 - Ziyun Wang, Eric A. Mitchell, Volkan Isler, Daniel D. Lee:
Geodesic-HOF: 3D Reconstruction Without Cutting Corners. 2844-2851 - Dongxu Wei, Xiaowei Xu, Haibin Shen, Kejie Huang:
C2F-FWN: Coarse-to-Fine Flow Warping Network for Spatial-Temporal Consistent Motion Transfer. 2852-2860 - Wenwen Wei, Ping Wei, Nanning Zheng:
Semantic Consistency Networks for 3D Object Detection. 2861-2869 - Zbigniew Wojna, Krzysztof Maziarz, Lukasz Jocz, Robert Paluba, Robert Kozikowski, Iasonas Kokkinos:
Holistic Multi-View Building Analysis in the Wild with Projection Pooling. 2870-2878 - Alex Wong, Mukund Mundhra, Stefano Soatto:
Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations. 2879-2888 - Guile Wu, Shaogang Gong:
Generalising without Forgetting for Lifelong Person Re-Identification. 2889-2897 - Guile Wu, Shaogang Gong:
Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification. 2898-2906 - Huisi Wu, Jiasheng Liu, Wei Wang, Zhenkun Wen, Jing Qin:
Region-aware Global Context Modeling for Automatic Nerve Segmentation from Ultrasound Images. 2907-2915 - Huisi Wu, Jiafu Zhong, Wei Wang, Zhenkun Wen, Jing Qin:
Precise Yet Efficient Semantic Calibration and Refinement in ConvNets for Real-time Polyp Segmentation from Colonoscopy Videos. 2916-2924 - Jin-Wen Wu, Fei Yin, Yan-Ming Zhang, Xu-Yao Zhang, Cheng-Lin Liu:
Graph-to-Graph: Towards Accurate and Interpretable Online Handwritten Mathematical Expression Recognition. 2925-2933 - Mingyu Wu, Boyuan Jiang, Donghao Luo, Junchi Yan, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Xiaokang Yang:
Learning Comprehensive Motion Representation for Action Recognition. 2934-2942 - Wenhao Wu, Dongliang He, Tianwei Lin, Fu Li, Chuang Gan, Errui Ding:
MVFNet: Multi-View Fusion Network for Efficient Video Recognition. 2943-2951 - Xinxiao Wu, Jianwei Zhao, Ruiqi Wang:
Anticipating Future Relations via Graph Growing for Action Prediction. 2952-2960 - Xinyi Wu, Zhenyao Wu, Lili Ju, Song Wang:
Binaural Audio-Visual Localization. 2961-2968 - Yuhang Wu, Sunpreet S. Arora, Yanhong Wu, Hao Yang:
Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions. 2969-2977 - Yunjie Wu, Zhengxing Sun, Youcheng Song, Yunhan Sun, Yijie Zhong, Jinlong Shi:
Shape-Pose Ambiguity in Learning 3D Reconstruction from Images. 2978-2985 - Shaoning Xiao, Long Chen, Songyang Zhang, Wei Ji, Jian Shao, Lu Ye, Jun Xiao:
Boundary Proposal Network for Two-stage Natural Language Video Localization. 2986-2994 - Yuting Xiao, Yanyu Xu, Ziming Zhong, Weixin Luo, Jiawei Li, Shenghua Gao:
Amodal Segmentation Based on Visible Region Segmentation and Shape Prior. 2995-3003 - Binwei Xu, Haoran Liang, Ronghua Liang, Peng Chen:
Locate Globally, Segment Locally: A Progressive Architecture With Knowledge Review Network for Salient Object Detection. 3004-3012 - Chenxin Xu, Siheng Chen, Maosen Li, Ya Zhang:
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation. 3013-3021 - Chunpu Xu, Min Yang, Chengming Li, Ying Shen, Xiang Ao, Ruifeng Xu:
Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning. 3022-3029 - Hongbin Xu, Zhipeng Zhou, Yu Qiao, Wenxiong Kang, Qiuxia Wu:
Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation. 3030-3038 - Lu Xu, Jiawei Zhang, Xuanye Cheng, Feng Zhang, Xing Wei, Jimmy S. J. Ren:
Efficient Deep Image Denoising via Class Specific Convolution. 3039-3046 - Mingye Xu, Zhipeng Zhou, Junhao Zhang, Yu Qiao:
Investigate Indistinguishable Points in Semantic Segmentation of 3D Point Cloud. 3047-3055 - Mutian Xu, Junhao Zhang, Zhipeng Zhou, Mingye Xu, Xiaojuan Qi, Yu Qiao:
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point Cloud. 3056-3064 - Xiaqing Xu, Qiang Meng, Yunxiao Qin, Jianzhu Guo, Chenxu Zhao, Feng Zhou, Zhen Lei:
Searching for Alignment in Face Recognition. 3065-3073 - Yi Xu, Fan Bai, Yingxuan Shi, Qiuyu Chen, Longwen Gao, Kai Tian, Shuigeng Zhou, Huyang Sun:
GIF Thumbnails: Attract More Clicks to Your Videos. 3074-3082 - Zhiliang Xu, Xiyu Yu, Zhibin Hong, Zhen Zhu, Junyu Han, Jingtuo Liu, Errui Ding, Xiang Bai:
FaceController: Controllable Attribute Editing for Face in the Wild. 3083-3091 - Zixuan Xu, Banghuai Li, Ye Yuan, Miao Geng:
AnchorFace: An Anchor-based Facial Landmark Detector Across Large Poses. 3092-3100 - Xu Yan, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang, Shuguang Cui:
Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion. 3101-3109 - Xudong Yan, Huaidong Zhang, Xuemiao Xu, Xiaowei Hu, Pheng-Ann Heng:
Learning Semantic Context from Normal Samples for Unsupervised Anomaly Detection. 3110-3118 - Bang Yang, Yuexian Zou, Fenglin Liu, Can Zhang:
Non-Autoregressive Coarse-to-Fine Video Captioning. 3119-3127 - Fengxiang Yang, Zhun Zhong, Hong Liu, Zheng Wang, Zhiming Luo, Shaozi Li, Nicu Sebe, Shin'ichi Satoh:
Learning to Attack Real-World Models for Person Re-identification via Virtual-Guided Meta-Learning. 3128-3135 - Li-Chuan Yang, Chih-Yuan Yang, Jane Yung-jen Hsu:
Object Relation Attention for Image Paragraph Captioning. 3136-3144 - Shuo Yang, Tianyu Guo, Yunhe Wang, Chang Xu:
Adversarial Robustness through Disentangled Representations. 3145-3153 - Ximing Yang, Yuan Wu, Kaiyi Zhang, Cheng Jin:
CPCGAN: A Controllable 3D Point Cloud Generative Adversarial Network with Semantic Label Generating. 3154-3162 - Xue Yang, Junchi Yan, Ziming Feng, Tao He:
R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object. 3163-3171 - Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou:
One-shot Face Reenactment Using Appearance Adaptive Normalization. 3172-3180 - Keren Ye, Adriana Kovashka:
A Case Study of the Shortcut Effects in Visual Commonsense Reasoning. 3181-3189 - Yufei Yin, Jiajun Deng, Wengang Zhou, Houqiang Li:
Instance Mining with Class Feature Banks for Weakly Supervised Object Detection. 3190-3198 - Bruce X. B. Yu, Yan Liu, Keith C. C. Chan:
Multimodal Fusion via Teacher-Student Network for Indoor Action Recognition. 3199-3207 - Fei Yu, Jiji Tang, Weichong Yin, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang:
ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs. 3208-3216 - Haichao Yu, Ning Xu, Zilong Huang, Yuqian Zhou, Humphrey Shi:
High-Resolution Deep Image Matting. 3217-3224 - Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan L. Yuille:
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks. 3225-3233 - Siyue Yu, Bingfeng Zhang, Jimin Xiao, Eng Gee Lim:
Structure-Consistent Weakly Supervised Salient Object Detection with Local Saliency Coherence. 3234-3242 - Tan Yu, Xiaoyun Li, Ping Li:
Fast and Compact Bilinear Pooling by Shifted Random Maclaurin. 3243-3251 - Tianyuan Yu, Yongxin Yang, Da Li, Timothy M. Hospedales, Tao Xiang:
Simple and Effective Stochastic Neural Networks. 3252-3260 - Hangjie Yuan, Dong Ni:
Learning Visual Context for Group Activity Recognition. 3261-3269 - Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao:
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding. 3270-3277 - Zhonghua Zhai, Pengju Yang, Xiaofeng Zhang, Maji Huang, Haijing Cheng, Xuejun Yan, Chunmao Wang, Shiliang Pu:
Demodalizing Face Recognition with Synthetic Samples. 3278-3286 - Fangneng Zhan, Changgong Zhang, Yingchen Yu, Yuan Chang, Shijian Lu, Feiying Ma, Xuansong Xie:
EMLight: Lighting Estimation via Spherical Distribution Approximation. 3287-3295 - Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon:
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards a Fourier Perspective. 3296-3304 - Chengwei Zhang, Yunlu Xu, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Fei Wu, Futai Zou:
SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition. 3305-3314 - Dawei Zhang, Zhonglong Zheng, Riheng Jia, Minglu Li:
Visual Tracking via Hierarchical Deep Reinforcement Learning. 3315-3323 - Enwei Zhang, Xinyang Jiang, Hao Cheng, Ancong Wu, Fufu Yu, Ke Li, Xiaowei Guo, Feng Zheng, Wei-Shi Zheng, Xing Sun:
One for More: Selecting Generalizable Samples for Generalizable ReID Model. 3324-3332 - Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang:
Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation. 3333-3341 - Jiabin Zhang, Zheng Zhu, Jiwen Lu, Junjie Huang, Guan Huang, Jie Zhou:
SIMPLE: SIngle-network with Mimicking and Point Learning for Bottom-up Human Pose Estimation. 3342-3350 - Jingran Zhang, Xing Xu, Fumin Shen, Huimin Lu, Xin Liu, Heng Tao Shen:
Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning. 3351-3359 - Minying Zhang, Kai Liu, Yidong Li, Shihui Guo, Hongtao Duan, Yimin Long, Yi Jin:
Unsupervised Domain Adaptation for Person Re-identification via Heterogeneous Graph Alignment. 3360-3368 - Peng-Fei Zhang, Zi Huang, Xin-Shun Xu:
Proactive Privacy-preserving Learning for Retrieval. 3369-3376 - Qing-Long Zhang, Lu Rao, Yubin Yang:
A Novel Visual Interpretability for Deep Neural Networks by Optimizing Activation Maps with Perturbation. 3377-3384 - Shoulong Zhang, Shuai Li, Aimin Hao, Hong Qin:
Point Cloud Semantic Scene Completion from RGB-D Images. 3385-3393 - Wenqiao Zhang, Haochen Shi, Siliang Tang, Jun Xiao, Qiang Yu, Yueting Zhuang:
Consensus Graph Representation Learning for Better Grounded Image Captioning. 3394-3402 - Xiang Zhang, Xiao Sun, Zhouhui Lian:
BoW Pooling: A Plug-and-Play Unit for Feature Aggregation of Point Clouds. 3403-3411 - Xinyu Zhang, Xinlong Wang, Jia-Wang Bian, Chunhua Shen, Mingyu You:
Diverse Knowledge Distillation for End-to-End Person Search. 3412-3420 - Yachao Zhang, Zhonghao Li, Yuan Xie, Yanyun Qu, Cuihua Li, Tao Mei:
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud. 3421-3429 - Yanan Zhang, Di Huang, Yunhong Wang:
PC-RGNN: Point Cloud Completion and Graph Neural Network for 3D Object Detection. 3430-3437 - Yesheng Zhang, Zilei Wang, Jiafan Zhuang:
Efficient License Plate Recognition via Holistic Position Attention. 3438-3446 - Yongshun Zhang, Xiu-Shen Wei, Boyan Zhou, Jianxin Wu:
Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks. 3447-3455 - Zhijie Zhang, Yan Liu, Junjie Chen, Li Niu, Liqing Zhang:
Depth Privileged Object Detection in Indoor Scenes via Deformation Hallucination. 3456-3464 - Zihui Zhang, Cuican Yu, Shuang Xu, Huibin Li:
Learning Flexibly Distributional Representation for Low-quality 3D Face Recognition. 3465-3473 - Kaixuan Zhao, Shikui Tu, Lei Xu:
IA-GM: A Deep Bidirectional Learning Method for Graph Matching. 3474-3482 - Kang Zhao, Sida Huang, Pan Pan, Yinghan Li, Yingya Zhang, Zhenyu Gu, Yinghui Xu:
Distribution Adaptive INT8 Quantization for Training CNNs. 3483-3491 - Lei Zhao, Jun Wen, Pengfei Wang, Nenggan Zheng:
Context-Guided Adaptive Network for Efficient Human Pose Estimation. 3492-3499 - Sicheng Zhao, Yezhen Wang, Bo Li, Bichen Wu, Yang Gao, Pengfei Xu, Trevor Darrell, Kurt Keutzer:
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation. 3500-3509 - Zengqun Zhao, Qingshan Liu, Feng Zhou:
Robust Lightweight Facial Expression Recognition Network with Label Distribution Training. 3510-3519 - Zhiwei Zhao, Bin Liu, Qi Chu, Yan Lu, Nenghai Yu:
Joint Color-irrelevant Consistency Learning and Identity-aware Modality Adaptation for Visible-infrared Cross Modality Person Re-identification. 3520-3528 - Aihua Zheng, Zi Wang, Zi-Han Chen, Chenglong Li, Jin Tang:
Robust Multi-Modality Person Re-identification. 3529-3537 - Kecheng Zheng, Cuiling Lan, Wenjun Zeng, Zhizheng Zhang, Zheng-Jun Zha:
Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification. 3538-3546 - Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai:
RESA: Recurrent Feature-Shift Aggregator for Lane Detection. 3547-3554 - Wu Zheng, Weiliang Tang, Sijin Chen, Li Jiang, Chi-Wing Fu:
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point Cloud. 3555-3562 - Benjia Zhou, Yunan Li, Jun Wan:
Regional Attention with Architecture-Rebuilt 3D Network for RGB-D Gesture Recognition. 3563-3571 - Fengtao Zhou, Sheng Huang, Yun Xing:
Deep Semantic Dictionary Learning for Multi-label Image Classification. 3572-3580 - Lijun Zhou, Antoine Ledent, Qintao Hu, Ting Liu, Jianlin Zhang, Marius Kloft:
Model Uncertainty Guides Visual Object Tracking. 3581-3589 - Xichuan Zhou, Kui Liu, Cong Shi, Haijun Liu, Ji Liu:
Optimizing Information Theory Based Bitwise Bottlenecks for Efficient Mixed-Precision Activation Quantization. 3590-3598 - Jinchao Zhu, Xiaoyu Zhang, Shuo Zhang, Junnan Liu:
Inferring Camouflaged Objects by Texture-Aware Interactive Guidance Network. 3599-3607 - Qi Zhu, Chenyu Gao, Peng Wang, Qi Wu:
Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps. 3608-3615 - Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu:
Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs. 3616-3624 - Daoming Zong, Shiliang Sun, Jing Zhao:
ASHF-Net: Adaptive Sampling and Hierarchical Folding Network for Robust Point Cloud Completion. 3625-3632
AAAI-21 Technical Tracks 5
AAAI Technical Track on Constraint Satisfaction and Optimization
- Vasily Alferov, Ivan Bliznets:
New Length Dependent Algorithm for Maximum Satisfiability Problem. 3634-3641 - Spyros Angelopoulos, Malachi Voss:
Online Search with Maximum Clearance. 3642-3650 - Jaroslav Bendík, Kuldeep S. Meel:
Counting Maximal Satisfiable Subsets. 3651-3660 - Timo Berthold, Gregor Hendel:
Learning To Scale Mixed-Integer Programs. 3661-3668 - Curtis Bright, Kevin K. H. Cheung, Brett Stevens, Ilias S. Kotsireas, Vijay Ganesh:
A SAT-based Resolution of Lam's Problem. 3669-3676 - Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, André A. Ciré:
Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization. 3677-3687 - Jingwei Chen, Nathan R. Sturtevant:
Necessary and Sufficient Conditions for Avoiding Reopenings in Best First Suboptimal Search with General Bounding Functions. 3688-3696 - Pei-Wei Chen, Yu-Ching Huang, Jie-Hong R. Jiang:
A Sharp Leap from Quantified Boolean Formula to Stochastic Boolean Satisfiability Solving. 3697-3706 - Huairui Chu, Mingyu Xiao, Zhe Zhang:
An Improved Upper Bound for SAT. 3707-3714 - Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov:
Solving Infinite-Domain CSPs Using the Patchwork Property. 3715-3723 - Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov:
Disjunctive Temporal Problems under Structural Restrictions. 3724-3732 - Emir Demirovic, Peter J. Stuckey:
Optimal Decision Trees for Nonlinear Metrics. 3733-3741 - Fabrizio Detassis, Michele Lombardi, Michela Milano:
Teaching the Old Dog New Tricks: Supervised Learning with Constraints. 3742-3749 - Jo Devriendt, Stephan Gocht, Emir Demirovic, Jakob Nordström, Peter J. Stuckey:
Cutting to the Core of Pseudo-Boolean Optimization: Combining Core-Guided Search with Cutting Planes Reasoning. 3750-3758 - Graeme Gange, Jarrod Knibbe:
Optimising Automatic Calibration of Electric Muscle Stimulation. 3759-3767 - Stephan Gocht, Jakob Nordström:
Certifying Parity Reasoning Efficiently Using Pseudo-Boolean Proofs. 3768-3777 - Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita, Yota Otachi:
Finding Diverse Trees, Paths, and More. 3778-3786 - Thomas A. Henzinger, Mathias Lechner, Dorde Zikelic:
Scalable Verification of Quantized Neural Networks. 3787-3795 - Yuya Hikima, Yasunori Akagi, Hideaki Kim, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda:
Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization. 3796-3805 - Alexey Ignatiev, Edward Lam, Peter J. Stuckey, João Marques-Silva:
A Scalable Two Stage Approach to Computing Optimal Decision Sets. 3806-3814 - Mustafa O. Karabag, Cyrus Neary, Ufuk Topcu:
Smooth Convex Optimization Using Sub-Zeroth-Order Oracles. 3815-3822 - Réka Á. Kovács, Oktay Günlük, Raphael A. Hauser:
Binary Matrix Factorisation via Column Generation. 3823-3831 - Petr Kucera, Petr Savický:
Backdoor Decomposable Monotone Circuits and Propagation Complete Encodings. 3832-3840 - Anastasios Kyrillidis, Moshe Y. Vardi, Zhiwei Zhang:
On Continuous Local BDD-Based Search for Hybrid SAT Solving. 3841-3850 - Yong Lai, Kuldeep S. Meel, Roland H. C. Yap:
The Power of Literal Equivalence in Model Counting. 3851-3859 - Nadjib Lazaar:
Parallel Constraint Acquisition. 3860-3867 - Jimmy H. M. Lee, Allen Z. Zhong:
Towards More Practical and Efficient Automatic Dominance Breaking. 3868-3876 - Nian-Ze Lee, Jie-Hong R. Jiang:
Dependency Stochastic Boolean Satisfiability: A Logical Formalism for NEXPTIME Decision Problems with Uncertainty. 3877-3885 - Oleksii Omelchenko, Andrei Bulatov:
Satisfiability and Algorithms for Non-uniform Random k-SAT. 3886-3894 - Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider:
Turbocharging Treewidth-Bounded Bayesian Network Structure Learning. 3895-3903 - André Schidler, Stefan Szeider:
SAT-based Decision Tree Learning for Large Data Sets. 3904-3912 - Qingyang Tan, Zherong Pan, Dinesh Manocha:
LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints. 3913-3921 - Timothy van Bremen, Vincent Derkinderen, Shubham Sharma, Subhajit Roy, Kuldeep S. Meel:
Symmetric Component Caching for Model Counting on Combinatorial Instances. 3922-3930 - Giulia Zarpellon, Jason Jo, Andrea Lodi, Yoshua Bengio:
Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies. 3931-3939
AAAI Technical Track on Data Mining and Knowledge Management
- MohammadHossein Bateni, Hossein Esfandiari, Manuela Fischer, Vahab S. Mirrokni:
Extreme k-Center Clustering. 3941-3949 - Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen:
Beyond Low-frequency Information in Graph Convolutional Networks. 3950-3957 - Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu, Shaoping Ma:
Graph Heterogeneous Multi-Relational Recommendation. 3958-3966 - Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng:
Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure. 3967-3975 - John Chen, Benjamin Coleman, Anshumali Shrivastava:
Revisiting Consistent Hashing with Bounded Loads. 3976-3983 - Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, Min Yang:
A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models. 3984-3991 - Yongrui Chen, Xinnan Guo, Chaojie Wang, Jian Qiu, Guilin Qi, Meng Wang, Huiying Li:
Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning. 3992-4000 - Yu Chen, Sinno Jialin Pan:
Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks. 4001-4009 - Zhengyu Chen, Ziqing Xu, Donglin Wang:
Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems. 4010-4018 - Zhu-Mu Chen, Mi-Yen Yeh, Tei-Wei Kuo:
PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding. 4019-4026 - Ailin Deng, Bryan Hooi:
Graph Neural Network-Based Anomaly Detection in Multivariate Time Series. 4027-4035 - Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang:
A Hybrid Bandit Framework for Diversified Recommendation. 4036-4044 - Dimitris Fotakis, Thanasis Pittas, Stratis Skoulakis:
Estimating the Number of Induced Subgraphs from Incomplete Data and Neighborhood Queries. 4045-4053 - Tony Gracious, Shubham Gupta, Arun Kanthali, Rui M. Castro, Ambedkar Dukkipati:
Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs. 4054-4062 - Jie Gu, Feng Wang, Qinghui Sun, Zhiquan Ye, Xiaoxiao Xu, Jingmin Chen, Jun Zhang:
Exploiting Behavioral Consistence for Universal User Representation. 4063-4071 - Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao:
NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction. 4072-4080 - Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou:
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks. 4081-4089 - Xu Han, Xiaohui Chen, Li-Ping Liu:
GAN Ensemble for Anomaly Detection. 4090-4097 - Omer David Harel, Robert Moskovitch:
Complete Closed Time Intervals-Related Patterns Mining. 4098-4105 - Yi He, Xu Yuan, Sheng Chen, Xindong Wu:
Online Learning in Variable Feature Spaces under Incomplete Supervision. 4106-4114 - Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye:
Knowledge-aware Coupled Graph Neural Network for Social Recommendation. 4115-4122 - Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang:
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. 4123-4130 - Tsuyoshi Idé, Amit Dhurandhar, Jirí Navrátil, Moninder Singh, Naoki Abe:
Anomaly Attribution with Likelihood Compensation. 4131-4138 - Kai Jiang, Weiying Xie, Jie Lei, Tao Jiang, Yunsong Li:
LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection. 4139-4146 - Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu:
On Estimating Recommendation Evaluation Metrics under Sampling. 4147-4154 - Snow Kang, Cristian Molinaro, Andrea Pugliese, V. S. Subrahmanian:
Randomized Generation of Adversary-aware Fake Knowledge Graphs to Combat Intellectual Property Theft. 4155-4163 - Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, Jae-Gil Lee:
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation. 4164-4171 - Melda Korkut, Andrew Li:
Disposable Linear Bandits for Online Recommendations. 4172-4180 - Li-Yen Kuo, Ming-Syan Chen:
Hierarchical Negative Binomial Factorization for Recommender Systems on Implicit Feedback. 4181-4188 - Mengzhang Li, Zhanxing Zhu:
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting. 4189-4196 - Xiaoyun Li, Ping Li:
Rejection Sampling for Weighted Jaccard Similarity Revisited. 4197-4205 - Yi Li, Yilun Jin, Guojie Song, Zihao Zhu, Chuan Shi, Yiming Wang:
GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks. 4206-4214 - Zhi Li, Zhefeng Wang, Zhicheng Wei, Xiangguang Zhou, Yijun Wang, Baoxing Huai, Qi Liu, Nicholas Jing Yuan, Renbin Gong, Enhong Chen:
Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer. 4215-4223 - Feng Liang, Weike Pan, Zhong Ming:
FedRec++: Lossless Federated Recommendation with Explicit Feedback. 4224-4231 - Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang:
HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem. 4232-4240 - Yan Lin, Huaiyu Wan, Shengnan Guo, Youfang Lin:
Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction. 4241-4248 - Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang:
Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation. 4249-4256 - Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier:
Visual Pivoting for (Unsupervised) Entity Alignment. 4257-4266 - Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi:
Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph. 4267-4275 - Yuanfu Lu, Xunqiang Jiang, Yuan Fang, Chuan Shi:
Learning to Pre-train Graph Neural Networks. 4276-4284 - Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates:
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball. 4285-4293 - Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu:
Communicative Message Passing for Inductive Relation Reasoning. 4294-4302 - Litao Qiao, Weijia Wang, Bill Lin:
Learning Accurate and Interpretable Decision Rule Sets from Neural Networks. 4303-4311 - Huiling Qin, Songyu Ke, Xiaodu Yang, Haoran Xu, Xianyuan Zhan, Yu Zheng:
Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning. 4312-4319 - Zhaopeng Qiu, Xian Wu, Jingyue Gao, Wei Fan:
U-BERT: Pre-training User Representations for Improved Recommendation. 4320-4327 - Johannes Rausch, Octavio Martinez, Fabian Bissig, Ce Zhang, Stefan Feuerriegel:
DocParser: Hierarchical Document Structure Parsing from Renderings. 4328-4338 - Siyu Ren, Kenny Q. Zhu:
Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice Questions. 4339-4347 - Arlei Silva, Ambuj K. Singh:
Group Testing on a Network. 4348-4356 - Yixin Su, Rui Zhang, Sarah M. Erfani, Zhenghua Xu:
Detecting Beneficial Feature Interactions for Recommender Systems. 4357-4365 - Kexuan Sun, Harsha Rayudu, Jay Pujara:
A Hybrid Probabilistic Approach for Table Understanding. 4366-4374 - Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu:
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. 4375-4383 - Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu:
Dynamic Memory based Attention Network for Sequential Recommendation. 4384-4392 - Guojia Wan, Bo Du:
GaussianPath: A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning. 4393-4401 - Beibei Wang, Youfang Lin, Shengnan Guo, Huaiyu Wan:
GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting. 4402-4409 - Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E. Hughes, Yanjie Fu:
Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective. 4410-4417 - Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen:
Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty. 4418-4426 - Kai Wang, Zhene Zou, Qilin Deng, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui:
Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation. 4427-4435 - Wenlin Wang:
Learning to Recommend from Sparse Data via Generative User Feedback. 4436-4444 - Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui Li:
How Do We Move: Modeling Human Movement with System Dynamics. 4445-4452 - Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Learning to Truncate Ranked Lists for Information Retrieval. 4453-4461 - Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie:
Fairness-aware News Recommendation with Decomposed Adversarial Learning. 4462-4469 - Xunxun Wu, Chang-Dong Wang, Pengfei Jiao:
Hybrid-order Stochastic Block Model. 4470-4477 - Yuankai Wu, Dingyi Zhuang, Aurélie Labbe, Lijun Sun:
Inductive Graph Neural Networks for Spatiotemporal Kriging. 4478-4485 - Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo:
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. 4486-4493 - Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li:
AttnMove: History Enhanced Trajectory Recovery via Attentional Network. 4494-4502 - Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang:
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation. 4503-4511 - Teng Xiao, Donglin Wang:
A General Offline Reinforcement Learning Framework for Interactive Recommendation. 4512-4520 - Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin:
Hierarchical Reinforcement Learning for Integrated Recommendation. 4521-4528 - Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong:
Out-of-Town Recommendation with Travel Intention Modeling. 4529-4536 - Bingbing Xu, Huawei Shen, Bing-Jie Sun, Rong An, Qi Cao, Xueqi Cheng:
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field. 4537-4545 - Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang:
Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling. 4546-4554 - Ming Yan, Chenliang Li, Bin Bi, Wei Wang, Songfang Huang:
A Unified Pretraining Framework for Passage Ranking and Expansion. 4555-4563 - Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong:
Dynamic Knowledge Graph Alignment. 4564-4572 - Han Yang, Kaili Ma, James Cheng:
Rethinking Graph Regularization for Graph Neural Networks. 4573-4581 - Jia-Qi Yang, Xiang Li, Shuguang Han, Tao Zhuang, De-Chuan Zhan, Xiaoyi Zeng, Bin Tong:
Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling. 4582-4589 - Liang Yang, Chuan Wang, Junhua Gu, Xiaochun Cao, Bingxin Niu:
Why Do Attributes Propagate in Graph Convolutional Neural Networks? 4590-4598 - Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi-Behnagh:
Relaxed Clustered Hawkes Process for Student Procrastination Modeling in MOOCs. 4599-4607 - Yuhang Yao, Carlee Joe-Wong:
Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks. 4608-4616 - Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Hui Xiong:
Coupled Layer-wise Graph Convolution for Transportation Demand Prediction. 4617-4625 - Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao:
Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing. 4626-4634 - Jiahao Yuan, Zihan Song, Mingyou Sun, Xiaoling Wang, Wayne Xin Zhao:
Dual Sparse Attention Network For Session-based Recommendation. 4635-4643 - Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, Hui Xiong:
Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling. 4644-4652 - Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng:
AugSplicing: Synchronized Behavior Detection in Streaming Tensors. 4653-4661 - Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li:
Taxonomy Completion via Triplet Matching Network. 4662-4670 - Qi Zhang, Longbing Cao, Chongyang Shi, Liang Hu:
Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data. 4671-4678 - Yao Zhang, Xu Zhang, Jun Wang, Hongru Liang, Wenqiang Lei, Zhe Sun, Adam Jatowt, Zhenglu Yang:
Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction. 4679-4687 - Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang:
A Graph-based Relevance Matching Model for Ad-hoc Retrieval. 4688-4696 - Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye:
Heterogeneous Graph Structure Learning for Graph Neural Networks. 4697-4705 - Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu:
Cold-start Sequential Recommendation via Meta Learner. 4706-4713 - Fan Zhou, Chengtai Cao:
Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay. 4714-4722 - Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang:
Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction. 4723-4731 - Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhang:
Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks. 4732-4740 - Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He:
Adversarial Directed Graph Embedding. 4741-4748 - Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du:
Relation-Aware Neighborhood Matching Model for Entity Alignment. 4749-4756
AAAI-21 Technical Tracks 6
AAAI Technical Track Focus Area on AI for Conference Organization and Delivery
- Michael Fromm, Evgeniy Faerman, Max Berrendorf, Siddharth Bhargava, Ruoxia Qi, Yao Zhang, Lukas Dennert, Sophia Selle, Yang Mao, Thomas Seidl:
Argument Mining Driven Analysis of Peer-Reviews. 4758-4766 - Emaad A. Manzoor, Nihar B. Shah:
Uncovering Latent Biases in Text: Method and Application to Peer Review. 4767-4775 - Reshef Meir, Jérôme Lang, Julien Lesca, Nicholas Mattei, Natan Kaminsky:
A Market-Inspired Bidding Scheme for Peer Review Paper Assignment. 4776-4784 - Ivan Stelmakh, Nihar B. Shah, Aarti Singh, Hal Daumé III:
A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers in Large Conferences. 4785-4793 - Ivan Stelmakh, Nihar B. Shah, Aarti Singh:
Catch Me if I Can: Detecting Strategic Behaviour in Peer Assessment. 4794-4802
AAAI Technical Track Focus Area on AI Responses to the COVID-19 Pandemic
- Tingting Dan, Yang Li, Ziwei Zhu, Xijie Chen, Wuxiu Quan, Yu Hu, Guihua Tao, Lei Zhu, Jijin Zhu, Hongmin Cai, Hanchun Wen:
Savable but Lost Lives when ICU Is Overloaded: a Model from 733 Patients in Epicenter Wuhan, China. 4804-4811 - A. S. M. Ahsan-Ul-Haque, Mugdha Thakur, Matthew Bielskas, Achla Marathe, Anil Vullikanti:
Persistence of Anti-vaccine Sentiment in Social Networks Through Strategic Interactions. 4812-4820 - Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding:
Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans. 4821-4829 - Nikos Kargas, Cheng Qian, Nicholas D. Sidiropoulos, Cao Xiao, Lucas M. Glass, Jimeng Sun:
STELAR: Spatio-temporal Tensor Factorization with Latent Epidemiological Regularization. 4830-4837 - George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis:
Transfer Graph Neural Networks for Pandemic Forecasting. 4838-4845 - Yu Qiu, Yun Liu, Shijie Li, Jing Xu:
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation. 4846-4854 - Alexander Rodríguez, Nikhil Muralidhar, Bijaya Adhikari, Anika Tabassum, Naren Ramakrishnan, B. Aditya Prakash:
Steering a Historical Disease Forecasting Model Under a Pandemic: Case of Flu and COVID-19. 4855-4863 - Arijit Sehanobish, Neal G. Ravindra, David van Dijk:
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks. 4864-4873 - Li Sun, Ke Yu, Kayhan Batmanghelich:
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images. 4874-4882 - Bryan Wilder, Michael J. Mina, Milind Tambe:
Tracking Disease Outbreaks from Sparse Data with Bayesian Inference. 4883-4891 - Congxi Xiao, Jingbo Zhou, Jizhou Huang, An Zhuo, Ji Liu, Haoyi Xiong, Dejing Dou:
C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak. 4892-4900
AAAI Technical Track Focus Area on Neuro-Symbolic AI
- Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell:
Conversational Neuro-Symbolic Commonsense Reasoning. 4902-4911 - Shumeet Baluja, David Marwood, Michele Covell:
Interpretable Actions: Controlling Experts with Understandable Commands. 4912-4922 - Antoine Bosselut, Ronan Le Bras, Yejin Choi:
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering. 4923-4931 - Manuel de Sousa Ribeiro, João Leite:
Aligning Artificial Neural Networks and Ontologies towards Explainable AI. 4932-4940 - Andrea Dittadi, Frederik K. Drachmann, Thomas Bolander:
Planning from Pixels in Atari with Learned Symbolic Representations. 4941-4949 - Philipp Geiger, Christoph-Nikolas Straehle:
Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers. 4950-4958 - Yining Hong, Qing Li, Daniel Ciao, Siyuan Huang, Song-Chun Zhu:
Learning by Fixing: Solving Math Word Problems with Weak Supervision. 4959-4967 - Bhushan Kotnis, Carolin Lawrence, Mathias Niepert:
Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders. 4968-4977 - Hunter Lang, Hoifung Poon:
Self-Supervised Self-Supervision by Combining Deep Learning and Probabilistic Logic. 4978-4986 - Carolin Lawrence, Timo Sztyler, Mathias Niepert:
Explaining Neural Matrix Factorization with Gradient Rollback. 4987-4995 - Danh Le Phuoc, Thomas Eiter, Anh Lê Tuán:
A Scalable Reasoning and Learning Approach for Neural-Symbolic Stream Fusion. 4996-5005 - Ankur Arjun Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles:
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. 5006-5015 - Buser Say:
A Unified Framework for Planning with Learned Neural Network Transition Models. 5016-5024 - Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp:
Classification by Attention: Scene Graph Classification with Prior Knowledge. 5025-5033 - Hikaru Shindo, Masaaki Nishino, Akihiro Yamamoto:
Differentiable Inductive Logic Programming for Structured Examples. 5034-5041 - Andrew Silva, Matthew C. Gombolay:
Encoding Human Domain Knowledge to Warm Start Reinforcement Learning. 5042-5050 - Efthymia Tsamoura, Timothy M. Hospedales, Loizos Michael:
Neural-Symbolic Integration: A Compositional Perspective. 5051-5060 - Zhe Xu, Yuxin Chen, Ufuk Topcu:
Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners. 5061-5068
AAAI Technical Track on Game Theory and Economic Paradigms
- Lukás Adam, Rostislav Horcík, Tomás Kasl, Tomás Kroupa:
Double Oracle Algorithm for Computing Equilibria in Continuous Games. 5070-5077 - Georgios Amanatidis, Georgios Birmpas, Aris Filos-Ratsikas, Alexandros A. Voudouris:
A Few Queries Go a Long Way: Information-Distortion Tradeoffs in Matching. 5078-5085 - Elliot Anshelevich, Zack Fitzsimmons, Rohit Vaish, Lirong Xia:
Representative Proxy Voting. 5086-5093 - Elliot Anshelevich, Wennan Zhu:
Forming Better Stable Solutions in Group Formation Games Inspired by Internet Exchange Points (IXPs). 5094-5101 - Haris Aziz:
Achieving Envy-freeness and Equitability with Monetary Transfers. 5102-5109 - Haris Aziz, Barton E. Lee:
Proportionally Representative Participatory Budgeting with Ordinal Preferences. 5110-5118 - Moshe Babaioff, Tomer Ezra, Uriel Feige:
Fair and Truthful Mechanisms for Dichotomous Valuations. 5119-5126 - Yakov Babichenko, Inbal Talgam-Cohen, Konstantin Zabarnyi:
Bayesian Persuasion under Ex Ante and Ex Post Constraints. 5127-5134 - Rufan Bai, Haoxing Lin, Xinyu Yang, Xiaowei Wu, Minming Li, Weijia Jia:
Defending against Contagious Attacks on a Network with Resource Reallocation. 5135-5142 - Artem Baklanov, Pranav Garimidi, Vasilis Gkatzelis, Daniel Schoepflin:
Achieving Proportionality up to the Maximin Item with Indivisible Goods. 5143-5150 - Xiaohui Bei, Ayumi Igarashi, Xinhang Lu, Warut Suksompong:
The Price of Connectivity in Fair Division. 5151-5158 - Xiaohui Bei, Warut Suksompong:
Dividing a Graphical Cake. 5159-5166 - Xiaohui Bei, Shengxin Liu, Xinhang Lu, Hongao Wang:
Maximin Fairness with Mixed Divisible and Indivisible Goods. 5167-5175 - Omer Ben-Porat, Fedor Sandomirskiy, Moshe Tennenholtz:
Protecting the Protected Group: Circumventing Harmful Fairness. 5176-5184 - Davide Bilò, Tobias Friedrich, Pascal Lenzner, Stefanie Lowski, Anna Melnichenko:
Selfish Creation of Social Networks. 5185-5193 - Arthur Boixel, Ronald de Haan:
On the Complexity of Finding Justifications for Collective Decisions. 5194-5201 - Sirin Botan, Ulle Endriss:
Preserving Condorcet Winners under Strategic Manipulation. 5202-5210 - Felix Brandt, Martin Bullinger, Anaëlle Wilczynski:
Reaching Individually Stable Coalition Structures in Hedonic Games. 5211-5218 - Gianluca Brero, Alon Eden, Matthias Gerstgrasser, David C. Parkes, Duncan Rheingans-Yoo:
Reinforcement Learning of Sequential Price Mechanisms. 5219-5227 - Markus Brill, Ulrike Schmidt-Kraepelin, Warut Suksompong:
Margin of Victory in Tournaments: Structural and Experimental Results. 5228-5235 - Martin Bullinger, Warut Suksompong, Alexandros A. Voudouris:
Welfare Guarantees in Schelling Segregation. 5236-5243 - Matteo Castiglioni, Nicola Gatti:
Persuading Voters in District-based Elections. 5244-5251 - Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Nicola Gatti:
Signaling in Bayesian Network Congestion Games: the Subtle Power of Symmetry. 5252-5259 - Jakub Cerný, Viliam Lisý, Branislav Bosanský, Bo An:
Computing Quantal Stackelberg Equilibrium in Extensive-Form Games. 5260-5268 - Bhaskar Ray Chaudhury, Jugal Garg, Ruta Mehta:
Fair and Efficient Allocations under Subadditive Valuations. 5269-5276 - Fotini Christia, Michael J. Curry, Constantinos Daskalakis, Erik D. Demaine, John P. Dickerson, MohammadTaghi Hajiaghayi, Adam Hesterberg, Marina Knittel, Aidan Milliff:
Scalable Equilibrium Computation in Multi-agent Influence Games on Networks. 5277-5285 - Andrei Costin Constantinescu, Edith Elkind:
Proportional Representation under Single-Crossing Preferences Revisited. 5286-5293 - Sina Dehghani, Hamed Saleh, Saeed Seddighin, Shang-Hua Teng:
Computational Analyses of the Electoral College: Campaigning Is Hard But Approximately Manageable. 5294-5302 - Kate Donahue, Jon M. Kleinberg:
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation. 5303-5311 - Amitay Dror, Michal Feldman, Erel Segal-Halevi:
On Fair Division under Heterogeneous Matroid Constraints. 5312-5320 - Alon Eden, Michal Feldman, Inbal Talgam-Cohen, Ori Zviran:
PoA of Simple Auctions with Interdependent Values. 5321-5329 - Edith Elkind, Erel Segal-Halevi, Warut Suksompong:
Mind the Gap: Cake Cutting With Separation. 5330-5338 - Edith Elkind, Davide Grossi, Ehud Shapiro, Nimrod Talmon:
United for Change: Deliberative Coalition Formation to Change the Status Quo. 5339-5346 - Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik:
Incentivizing Truthfulness Through Audits in Strategic Classification. 5347-5354 - Alireza Farhadi, Mohammad Taghi Hajiaghayi, Mohamad Latifian, Masoud Seddighin, Hadi Yami:
Almost Envy-freeness, Envy-rank, and Nash Social Welfare Matchings. 5355-5362 - Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent. 5363-5371 - Gabriele Farina, Robin Schmucker, Tuomas Sandholm:
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games. 5372-5380 - Gabriele Farina, Tuomas Sandholm:
Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games. 5381-5390 - Michal Feldman, Galia Shabtai:
Simultaneous 2nd Price Item Auctions with No-Underbidding. 5391-5398 - Zhe Feng, Guru Guruganesh, Christopher Liaw, Aranyak Mehta, Abhishek Sethi:
Convergence Analysis of No-Regret Bidding Algorithms in Repeated Auctions. 5399-5406 - Arnold Filtser, Omrit Filtser:
Condorcet Relaxation In Spatial Voting. 5407-5414 - Fedor V. Fomin, Pierre Fraigniaud, Petr A. Golovach:
Present-Biased Optimization. 5415-5422 - Dimitris Fotakis, Piotr Krysta, Carmine Ventre:
Efficient Truthful Scheduling and Resource Allocation through Monitoring. 5423-5431 - Yuan Gao, Christian Kroer:
Infinite-Dimensional Fisher Markets: Equilibrium, Duality and Optimization. 5432-5439 - Vasilis Gkatzelis, Alexandros Psomas, Xizhi Tan:
Fair and Efficient Online Allocations with Normalized Valuations. 5440-5447 - Michal Tomasz Godziszewski, Pawel Batko, Piotr Skowron, Piotr Faliszewski:
An Analysis of Approval-Based Committee Rules for 2D-Euclidean Elections. 5448-5455 - Daniel Halpern, Gregory Kehne, Dominik Peters, Ariel D. Procaccia, Nisarg Shah, Piotr Skowron:
Aggregating Binary Judgments Ranked by Accuracy. 5456-5463 - D. Ellis Hershkowitz, Anson Kahng, Dominik Peters, Ariel D. Procaccia:
District-Fair Participatory Budgeting. 5464-5471 - Hadi Hosseini, Sujoy Sikdar, Rohit Vaish, Lirong Xia:
Fair and Efficient Allocations under Lexicographic Preferences. 5472-5480 - Hadi Hosseini, Vijay Menon, Nisarg Shah, Sujoy Sikdar:
Necessarily Optimal One-Sided Matchings. 5481-5488 - Egor Ianovski, Aleksei Y. Kondratev:
Computing the Proportional Veto Core. 5489-5496 - Kun Jin, Yevgeniy Vorobeychik, Mingyan Liu:
Multi-Scale Games: Representing and Solving Games on Networks with Group Structure. 5497-5505 - Martin Koutecký, Nimrod Talmon:
Multi-Party Campaigning. 5506-5513 - Anilesh K. Krishnaswamy, Haoming Li, David Rein, Hanrui Zhang, Vincent Conitzer:
Classification with Strategically Withheld Data. 5514-5522 - Rucha Kulkarni, Ruta Mehta, Setareh Taki:
On the PTAS for Maximin Shares in an Indivisible Mixed Manna. 5523-5530 - Zun Li, Michael P. Wellman:
Evolution Strategies for Approximate Solution of Bayesian Games. 5531-5540 - Chun Kai Ling, Noam Brown:
Safe Search for Stackelberg Equilibria in Extensive-Form Games. 5541-5548 - Xiang Liu, Weiwei Wu, Minming Li, Wanyuan Wang:
Budget Feasible Mechanisms Over Graphs. 5549-5556 - Zhengyang Liu, Jiawei Li, Xiaotie Deng:
On the Approximation of Nash Equilibria in Sparse Win-Lose Multi-player Games. 5557-5565 - Alberto Marchesi, Nicola Gatti:
Trembling-Hand Perfection and Correlation in Sequential Games. 5566-5574 - David Milec, Jakub Cerný, Viliam Lisý, Bo An:
Complexity and Algorithms for Exploiting Quantal Opponents in Large Two-Player Games. 5575-5583 - Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy R. Greenwald, Michael Bowling:
Hindsight and Sequential Rationality of Correlated Play. 5584-5594 - Aniket Murhekar, Jugal Garg:
On Fair and Efficient Allocations of Indivisible Goods. 5595-5602 - Dolev Mutzari, Jiarui Gan, Sarit Kraus:
Coalition Formation in Multi-defender Security Games. 5603-5610 - Ahad N. Zehmakan:
Majority Opinion Diffusion in Social Networks: An Adversarial Approach. 5611-5619 - Sushirdeep Narayana, Ian A. Kash:
Fair and Efficient Allocations with Limited Demands. 5620-5627 - Quan Nguyen, Sanmay Das, Roman Garnett:
Scarce Societal Resource Allocation and the Price of (Local) Justice. 5628-5636 - Gali Noti:
From Behavioral Theories to Econometrics: Inferring Preferences of Human Agents from Data on Repeated Interactions. 5637-5646 - Dominik Peters, Ariel D. Procaccia:
Preference Elicitation as Average-Case Sorting. 5647-5655 - Dominik Peters, Grzegorz Pierczynski, Nisarg Shah, Piotr Skowron:
Market-Based Explanations of Collective Decisions. 5656-5663 - Jad Rahme, Samy Jelassi, Joan Bruna, S. Matthew Weinberg:
A Permutation-Equivariant Neural Network Architecture For Auction Design. 5664-5672 - Tabish Rashid, Cheng Zhang, Kamil Ciosek:
Estimating α-Rank by Maximizing Information Gain. 5673-5681 - Giulia Romano, Gianluca Tartaglia, Alberto Marchesi, Nicola Gatti:
Online Posted Pricing with Unknown Time-Discounted Valuations. 5682-5689 - Luis Sánchez Fernández, Norberto Fernández García, Jesús A. Fisteus, Markus Brill:
The Maximin Support Method: An Extension of the D'Hondt Method to Approval-Based Multiwinner Elections. 5690-5697 - Atrisha Sarkar, Krzysztof Czarnecki:
Solution Concepts in Hierarchical Games Under Bounded Rationality With Applications to Autonomous Driving. 5698-5708 - Jaelle Scheuerman, Jason L. Harman, Nicholas Mattei, Kristen Brent Venable:
Modeling Voters in Multi-Winner Approval Voting. 5709-5716 - Weiran Shen, Pingzhong Tang, Xun Wang, Yadong Xu, Xiwang Yang:
Coupon Design in Advertising Systems. 5717-5725 - Zoi Terzopoulou, Alexander Karpov, Svetlana Obraztsova:
Restricted Domains of Dichotomous Preferences with Possibly Incomplete Information. 5726-5733 - Chenhao Wang, Xiaoying Wu, Minming Li, Hau Chan:
Facility's Perspective to Fair Facility Location Problems. 5734-5741 - Lirong Xia, Weiqiang Zheng:
The Smoothed Complexity of Computing Kemeny and Slater Rankings. 5742-5750 - Tom Yan, Ariel D. Procaccia:
If You Like Shapley Then You'll Love the Core. 5751-5759 - Yongjie Yang:
A Model of Winners Allocation. 5760-5767 - Avishai Zagoury, Orgad Keller, Avinatan Hassidim, Noam Hazon:
Targeted Negative Campaigning: Complexity and Approximations. 5768-5778 - Brian Hu Zhang, Tuomas Sandholm:
Finding and Certifying (Near-)Optimal Strategies in Black-Box Extensive-Form Games. 5779-5788 - Hanrui Zhang, Yu Cheng, Vincent Conitzer:
Automated Mechanism Design for Classification with Partial Verification. 5789-5796 - Hanrui Zhang, Vincent Conitzer:
Incentive-Aware PAC Learning. 5797-5804 - Hanrui Zhang, Yu Cheng, Vincent Conitzer:
Classification with Few Tests through Self-Selection. 5805-5812 - Youzhi Zhang, Bo An, Jakub Cerný:
Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games. 5813-5821 - Yuzhe Zhang, Davide Grossi:
Power in Liquid Democracy. 5822-5830
AAAI-21 Technical Tracks 7
AAAI Technical Track on Human-Computation and Crowd Sourcing
- Zhendong Chu, Jing Ma, Hongning Wang:
Learning from Crowds by Modeling Common Confusions. 5832-5840 - Jiawei Liu, Zhe Gao, Yangyang Kang, Zhuoren Jiang, Guoxiu He, Changlong Sun, Xiaozhong Liu, Wei Lu:
Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff. 5841-5849 - Zizhe Wang, Hailong Sun:
Teaching Active Human Learners. 5850-5857
AAAI Technical Track on Humans and AI
- Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, Mark O. Riedl:
Automated Storytelling via Causal, Commonsense Plot Ordering. 5859-5867 - Ines Arous, Ljiljana Dolamic, Jie Yang, Akansha Bhardwaj, Giuseppe Cuccu, Philippe Cudré-Mauroux:
MARTA: Leveraging Human Rationales for Explainable Text Classification. 5868-5876 - Yujin Cha, Sang Wan Lee:
Human Uncertainty Inference via Deterministic Ensemble Neural Networks. 5877-5886 - Yu-Wei Chao, Jimei Yang, Weifeng Chen, Jia Deng:
Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control. 5887-5895 - Elizabeth M. Daly, Massimiliano Mattetti, Öznur Alkan, Rahul Nair:
User Driven Model Adjustment via Boolean Rule Explanations. 5896-5904 - Abir De, Nastaran Okati, Ali Zarezade, Manuel Gomez Rodriguez:
Classification Under Human Assistance. 5905-5913