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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 - Chaosheng Dong, Bo Zeng:
Wasserstein Distributionally Robust Inverse Multiobjective Optimization. 5914-5921 - Matthew C. Fontaine, Ruilin Liu, Ahmed Khalifa, Jignesh Modi, Julian Togelius, Amy K. Hoover, Stefanos Nikolaidis:
Illuminating Mario Scenes in the Latent Space of a Generative Adversarial Network. 5922-5930 - Zecheng He, Srinivas Sunkara, Xiaoxue Zang, Ying Xu, Lijuan Liu, Nevan Wichers, Gabriel Schubiner, Ruby B. Lee, Jindong Chen:
ActionBert: Leveraging User Actions for Semantic Understanding of User Interfaces. 5931-5938 - Yu-Sian Jiang, Garrett Warnell, Peter Stone:
Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle. 5939-5947 - Dae Ha Kim, Byung Cheol Song:
Contrastive Adversarial Learning for Person Independent Facial Emotion Recognition. 5948-5956 - Travis Mandel, James Boyd, Sebastian J. Carter, Randall H. Tanaka, Taishi Nammoto:
AI-Assisted Scientific Data Collection with Iterative Human Feedback. 5957-5966 - Jonathan Martinez, Kobi Gal, Ece Kamar, Levi H. S. Lelis:
Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions. 5967-5974 - Duncan C. McElfresh, Lok Chan, Kenzie Doyle, Walter Sinnott-Armstrong, Vincent Conitzer, Jana Schaich Borg, John P. Dickerson:
Indecision Modeling. 5975-5983 - Mihai Polceanu, Julie Porteous, Alan Lindsay, Marc Cavazza:
Narrative Plan Generation with Self-Supervised Learning. 5984-5992 - Tengfei Song, Lisha Chen, Wenming Zheng, Qiang Ji:
Uncertain Graph Neural Networks for Facial Action Unit Detection. 5993-6001 - Theodore R. Sumers, Mark K. Ho, Robert X. D. Hawkins, Karthik Narasimhan, Thomas L. Griffiths:
Learning Rewards From Linguistic Feedback. 6002-6010 - Ran Tian, Liting Sun, Masayoshi Tomizuka:
Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory. 6011-6020 - Meng-Hsuan Yu, Juntao Li, Zhangming Chan, Rui Yan, Dongyan Zhao:
Content Learning with Structure-Aware Writing: A Graph-Infused Dual Conditional Variational Autoencoder for Automatic Storytelling. 6021-6029 - Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake:
A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation. 6030-6038 - Suping Zhou, Jia Jia, Zhiyong Wu, Zhihan Yang, Yanfeng Wang, Wei Chen, Fanbo Meng, Shuo Huang, Jialie Shen, Xiaochuan Wang:
Inferring Emotion from Large-scale Internet Voice Data: A Semi-supervised Curriculum Augmentation based Deep Learning Approach. 6039-6047
AAAI Technical Track on Intelligent Robots
- Yotam Amitai, Ayal Taitler, Erez Karpas:
Automatic Generation of Flexible Plans via Diverse Temporal Planning. 6049-6057 - Zhongxuan Cai, Minglong Li, Wanrong Huang, Wenjing Yang:
BT Expansion: a Sound and Complete Algorithm for Behavior Planning of Intelligent Robots with Behavior Trees. 6058-6065 - Jiahua Dong, Yang Cong, Gan Sun, Bingtao Ma, Lichen Wang:
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting. 6066-6074 - Tyler M. Frasca, Bradley Oosterveld, Meia Chita-Tegmark, Matthias Scheutz:
Enabling Fast Instruction-Based Modification of Learned Robot Skills. 6075-6083 - Jianzhu Huai, Yukai Lin, Yuan Zhuang, Min Shi:
Consistent Right-Invariant Fixed-Lag Smoother with Application to Visual Inertial SLAM. 6084-6092 - Andras Gabor Kupcsik, Markus Spies, Alexander Klein, Marco Todescato, Nicolai Waniek, Philipp Schillinger, Mathias Bürger:
Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications. 6093-6100 - Dongfang Liu, Yiming Cui, Liqi Yan, Christos Mousas, Baijian Yang, Yingjie Victor Chen:
DenserNet: Weakly Supervised Visual Localization Using Multi-Scale Feature Aggregation. 6101-6109 - Sahand Rezaei-Shoshtari, Francois Robert Hogan, Michael Jenkin, David Meger, Gregory Dudek:
Learning Intuitive Physics with Multimodal Generative Models. 6110-6118 - Jasmine Sekhon, Cody H. Fleming:
SCAN: A Spatial Context Attentive Network for Joint Multi-Agent Intent Prediction. 6119-6127 - Scott Sun, Dennis Melamed, Kris Kitani:
IDOL: Inertial Deep Orientation-Estimation and Localization. 6128-6137 - Tetsuya Takahashi, Junbang Liang, Yi-Ling Qiao, Ming C. Lin:
Differentiable Fluids with Solid Coupling for Learning and Control. 6138-6146 - Anirudh Vemula, J. Andrew Bagnell, Maxim Likhachev:
CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models. 6147-6155 - Tao Zhang, Yang Cong, Gan Sun, Jiahua Dong, Yuyang Liu, Zhengming Ding:
Generative Partial Visual-Tactile Fused Object Clustering. 6156-6164 - Kaichen Zhou, Changhao Chen, Bing Wang, Muhamad Risqi Utama Saputra, Niki Trigoni, Andrew Markham:
VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization. 6165-6173
AAAI Technical Track on Knowledge Representation and Reasoning
- Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna:
Argumentation Frameworks with Strong and Weak Constraints: Semantics and Complexity. 6175-6184 - Leila Amgoud, Victor David:
A General Setting for Gradual Semantics Dealing with Similarity. 6185-6192 - Alessandro Artale, Jean Christoph Jung, Andrea Mazzullo, Ana Ozaki, Frank Wolter:
Living Without Beth and Craig: Definitions and Interpolants in Description Logics with Nominals and Role Inclusions. 6193-6201 - Sander Beckers:
Equivalent Causal Models. 6202-6209 - Sander Beckers:
The Counterfactual NESS Definition of Causation. 6210-6217 - Manuel Bodirsky, Simon Knäuer:
Network Satisfaction for Symmetric Relation Algebras with a Flexible Atom. 6218-6226 - Richard Booth, Ivan Varzinczak:
Conditional Inference under Disjunctive Rationality. 6227-6234 - Andrei Bulatov, Eugenia Ternovska:
Algebra of Modular Systems: Containment and Equivalence. 6235-6243 - Florent Capelli, Jean-Marie Lagniez, Pierre Marquis:
Certifying Top-Down Decision-DNNF Compilers. 6244-6253 - Giovanni Casini, Thomas Andreas Meyer, Ivan Varzinczak:
Contextual Conditional Reasoning. 6254-6261 - Ismail Ilkan Ceylan, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro, Andrius Vaicenavicius:
Preferred Explanations for Ontology-Mediated Queries under Existential Rules. 6262-6270 - Jiajun Chen, Huarui He, Feng Wu, Jie Wang:
Topology-Aware Correlations Between Relations for Inductive Link Prediction in Knowledge Graphs. 6271-6278 - Maxwell Crouse, Ibrahim Abdelaziz, Bassem Makni, Spencer Whitehead, Cristina Cornelio, Pavan Kapanipathi, Kavitha Srinivas, Veronika Thost, Michael Witbrock, Achille Fokoue:
A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving. 6279-6287 - Wolfgang Dvorák, Markus Ulbricht, Stefan Woltran:
Recursion in Abstract Argumentation is Hard - On the Complexity of Semantics Based on Weak Admissibility. 6288-6295 - Wolfgang Dvorák, Alexander Greßler, Anna Rapberger, Stefan Woltran:
The Complexity Landscape of Claim-Augmented Argumentation Frameworks. 6296-6303 - Thomas Eiter, Rafael Kiesel:
On the Complexity of Sum-of-Products Problems over Semirings. 6304-6311 - Jorge Fandinno, Markus Hecher:
Treewidth-Aware Complexity in ASP: Not all Positive Cycles are Equally Hard. 6312-6320 - Paolo Felli, Alessandro Gianola, Marco Montali:
SMT-based Safety Checking of Parameterized Multi-Agent Systems. 6321-6330 - Jorge Luis Fernandez Davila, Dominique Longin, Emiliano Lorini, Frédéric Maris:
A Simple Framework for Cognitive Planning. 6331-6339 - Oliver Fernández Gil, Anni-Yasmin Turhan:
Answering Regular Path Queries Under Approximate Semantics in Lightweight Description Logics. 6340-6348 - Johannes Klaus Fichte, Markus Hecher, Arne Meier:
Knowledge-Base Degrees of Inconsistency: Complexity and Counting. 6349-6357 - Tobias Geibinger, Florian Mischek, Nysret Musliu:
Constraint Logic Programming for Real-World Test Laboratory Scheduling. 6358-6366 - Ricardo Guimarães, Ana Ozaki, Cosimo Persia, Baris Sertkaya:
Mining EL Bases with Adaptable Role Depth. 6367-6374 - Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang:
REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement. 6375-6383 - Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jeff Da, Keisuke Sakaguchi, Antoine Bosselut, Yejin Choi:
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs. 6384-6392 - Bosung Kim, Juae Kim, Youngjoong Ko, Jungyun Seo:
Commonsense Knowledge Augmentation for Low-Resource Languages via Adversarial Learning. 6393-6401 - Fangzhen Lin:
Parameterized Logical Theories. 6402-6409 - Jingping Liu, Menghui Wang, Chao Wang, Jiaqing Liang, Lihan Chen, Haiyun Jiang, Yanghua Xiao, Yunwen Chen:
Learning Term Embeddings for Lexical Taxonomies. 6410-6417 - Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu:
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. 6418-6425 - Yasir Mahmood, Arne Meier, Johannes Schmidt:
Parameterized Complexity of Logic-Based Argumentation in Schaefer's Framework. 6426-6434 - Jan Maly, Johannes Peter Wallner:
Ranking Sets of Defeasible Elements in Preferential Approaches to Structured Argumentation: Postulates, Relations, and Characterizations. 6435-6443 - Jonathan Mendelson, Aaditya Naik, Mukund Raghothaman, Mayur Naik:
GENSYNTH: Synthesizing Datalog Programs without Language Bias. 6444-6453 - Sebastian Ordyniak, Stefan Szeider:
Parameterized Complexity of Small Decision Tree Learning. 6454-6462 - Nico Potyka:
Interpreting Neural Networks as Quantitative Argumentation Frameworks. 6463-6470 - Ali Sadeghian, Mohammadreza Armandpour, Anthony M. Colas, Daisy Zhe Wang:
ChronoR: Rotation Based Temporal Knowledge Graph Embedding. 6471-6479 - Yakoub Salhi:
Quantification of Resource Production Incompleteness. 6480-6487 - David J. Tena Cucala, Przemyslaw Andrzej Walega, Bernardo Cuenca Grau, Egor V. Kostylev:
Stratified Negation in Datalog with Metric Temporal Operators. 6488-6495 - Markus Ulbricht, Johannes Peter Wallner:
Strong Explanations in Abstract Argumentation. 6496-6504 - Guy Van den Broeck, Anton Lykov, Maximilian Schleich, Dan Suciu:
On the Tractability of SHAP Explanations. 6505-6513 - Stylianos Loukas Vasileiou, Alessandro Previti, William Yeoh:
On Exploiting Hitting Sets for Model Reconciliation. 6514-6521 - Marco Wilhelm, Gabriele Kern-Isberner:
Focused Inference and System P. 6522-6529 - Shengping Xiao, Jianwen Li, Shufang Zhu, Yingying Shi, Geguang Pu, Moshe Y. Vardi:
On-the-fly Synthesis for LTL over Finite Traces. 6530-6537 - Hao Zhang, Kun Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang:
Testing Independence Between Linear Combinations for Causal Discovery. 6538-6546
AAAI-21 Technical Tracks 8
AAAI Technical Track on Machine Learning I
- Ardavan Afshar, Kejing Yin, Sherry Yan, Cheng Qian, Joyce C. Ho, Haesun Park, Jimeng Sun:
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors. 6548-6556 - Mridul Agarwal, Vaneet Aggarwal, Abhishek Kumar Umrawal, Christopher J. Quinn:
DART: Adaptive Accept Reject Algorithm for Non-Linear Combinatorial Bandits. 6557-6565 - Priyank Agrawal, Jinglin Chen, Nan Jiang:
Improved Worst-Case Regret Bounds for Randomized Least-Squares Value Iteration. 6566-6573 - Nauman Ahad, Mark A. Davenport:
Semi-supervised Sequence Classification through Change Point Detection. 6574-6581 - Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh:
Learning Invariant Representations using Inverse Contrastive Loss. 6582-6591 - Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu:
Learned Bi-Resolution Image Coding using Generalized Octave Convolutions. 6592-6599 - Ravi Tej Akella, Kamyar Azizzadenesheli, Mohammad Ghavamzadeh, Animashree Anandkumar, Yisong Yue:
Deep Bayesian Quadrature Policy Optimization. 6600-6608 - Faisal M. Almutairi, Yunlong Wang, Dong Wang, Emily Zhao, Nicholas D. Sidiropoulos:
eTREE: Learning Tree-structured Embeddings. 6609-6617 - Yasmeen Alufaisan, Laura R. Marusich, Jonathan Z. Bakdash, Yan Zhou, Murat Kantarcioglu:
Does Explainable Artificial Intelligence Improve Human Decision-Making? 6618-6626 - Sanae Amani, Christos Thrampoulidis:
Decentralized Multi-Agent Linear Bandits with Safety Constraints. 6627-6635 - Chaitanya Amballa, Manu K. Gupta, Sanjay P. Bhat:
Computing an Efficient Exploration Basis for Learning with Univariate Polynomial Features. 6636-6643 - Elad Amrani, Rami Ben-Ari, Daniel Rotman, Alex M. Bronstein:
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning. 6644-6652 - Daksh Anand, Vaibhav Gupta, Praveen Paruchuri, Balaraman Ravindran:
An Enhanced Advising Model in Teacher-Student Framework using State Categorization. 6653-6660 - Alexandre Araujo, Benjamin Négrevergne, Yann Chevaleyre, Jamal Atif:
On Lipschitz Regularization of Convolutional Layers using Toeplitz Matrix Theory. 6661-6669 - Marcelo Arenas, Pablo Barceló, Leopoldo E. Bertossi, Mikaël Monet:
The Tractability of SHAP-Score-Based Explanations for Classification over Deterministic and Decomposable Boolean Circuits. 6670-6678 - Sercan Ö. Arik, Tomas Pfister:
TabNet: Attentive Interpretable Tabular Learning. 6679-6687 - Omri Armstrong, Ran Gilad-Bachrach:
Robust Model Compression Using Deep Hypotheses. 6688-6695 - Kavosh Asadi, Neev Parikh, Ronald E. Parr, George Dimitri Konidaris, Michael L. Littman:
Deep Radial-Basis Value Functions for Continuous Control. 6696-6704 - Haoyue Bai, Rui Sun, Lanqing Hong, Fengwei Zhou, Nanyang Ye, Han-Jia Ye, S.-H. Gary Chan, Zhenguo Li:
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation. 6705-6713 - Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu:
Correlative Channel-Aware Fusion for Multi-View Time Series Classification. 6714-6722 - Subhankar Banerjee, Shayok Chakraborty:
Deterministic Mini-batch Sequencing for Training Deep Neural Networks. 6723-6731 - Kate Baumli, David Warde-Farley, Steven Hansen, Volodymyr Mnih:
Relative Variational Intrinsic Control. 6732-6740 - Michel Besserve, Rémy Sun, Dominik Janzing, Bernhard Schölkopf:
A Theory of Independent Mechanisms for Extrapolation in Generative Models. 6741-6749 - Siddharth Bhatia, Arjit Jain, Bryan Hooi:
ExGAN: Adversarial Generation of Extreme Samples. 6750-6758 - Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian:
Ordinal Historical Dependence in Graphical Event Models with Tree Representations. 6759-6767 - Johan Bjorck, Anmol Kabra, Kilian Q. Weinberger, Carla P. Gomes:
Characterizing the Loss Landscape in Non-Negative Matrix Factorization. 6768-6776 - Johan Bjorck, Kilian Q. Weinberger, Carla P. Gomes:
Understanding Decoupled and Early Weight Decay. 6777-6785 - Avrim Blum, Shelby Heinecke, Lev Reyzin:
Communication-Aware Collaborative Learning. 6786-6793 - Yoonho Boo, Sungho Shin, Jungwook Choi, Wonyong Sung:
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks. 6794-6802 - Akhilan Boopathy, Lily Weng, Sijia Liu, Pin-Yu Chen, Gaoyuan Zhang, Luca Daniel:
Fast Training of Provably Robust Neural Networks by SingleProp. 6803-6811 - Mathis Brosowsky, Florian Keck, Olaf Dünkel, Marius Zöllner:
Sample-Specific Output Constraints for Neural Networks. 6812-6821 - Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Aravind Srinivasan, Leonidas Tsepenekas:
Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints. 6822-6830 - Tuan-Anh Bui, Trung Le, He Zhao, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung:
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness. 6831-6839 - Rebekka Burkholz, John Quackenbush:
Cascade Size Distributions: Why They Matter and How to Compute Them Efficiently. 6840-6849 - Bowen Cai, Huan Fu, Rongfei Jia, Binqiang Zhao, Hua Li, Yinghui Xu:
Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation. 6850-6858 - Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang:
Time Series Domain Adaptation via Sparse Associative Structure Alignment. 6859-6867 - Yunfeng Cai, Ping Li:
A Blind Block Term Decomposition of High Order Tensors. 6868-6876 - Alexander Cao, Yuan Luo, Diego Klabjan:
Open-Set Recognition with Gaussian Mixture Variational Autoencoders. 6877-6884 - Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong:
Provably Secure Federated Learning against Malicious Clients. 6885-6893 - Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Dual Quaternion Knowledge Graph Embeddings. 6894-6902 - Miguel Á. Carreira-Perpiñán, Suryabhan Singh Hada:
Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms. 6903-6911 - Paola Cascante-Bonilla, Fuwen Tan, Yanjun Qi, Vicente Ordonez:
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning. 6912-6920 - Stephen Casper, Xavier Boix, Vanessa D'Amario, Ling Guo, Martin Schrimpf, Kasper Vinken, Gabriel Kreiman:
Frivolous Units: Wider Networks Are Not Really That Wide. 6921-6929 - Saptarshi Chakraborty, Debolina Paul, Swagatam Das:
Automated Clustering of High-dimensional Data with a Feature Weighted Mean Shift Algorithm. 6930-6938 - Yash Chandak, Shiv Shankar, Philip S. Thomas:
High-Confidence Off-Policy (or Counterfactual) Variance Estimation. 6939-6947 - Chia-Yuan Chang, Cheng-Wei Lu, Chuan-Ju Wang:
A Multi-step-ahead Markov Conditional Forward Model with Cube Perturbations for Extreme Weather Forecasting. 6948-6955 - Haw-Shiuan Chang, Amol Agrawal, Andrew McCallum:
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications. 6956-6965 - Ting-Jui Chang, Shahin Shahrampour:
On Online Optimization: Dynamic Regret Analysis of Strongly Convex and Smooth Problems. 6966-6973 - Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis:
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. 6974-6983 - Anamay Chaturvedi, Huy Le Nguyen, Lydia Zakynthinou:
Differentially Private Decomposable Submodular Maximization. 6984-6992 - Arslan Chaudhry, Albert Gordo, Puneet K. Dokania, Philip H. S. Torr, David Lopez-Paz:
Using Hindsight to Anchor Past Knowledge in Continual Learning. 6993-7001 - Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio:
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. 7002-7010 - Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang:
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning. 7011-7019 - Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng:
Addressing Action Oscillations through Learning Policy Inertia. 7020-7027 - Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen:
Cross-Layer Distillation with Semantic Calibration. 7028-7036 - Hong Chen, Yingjie Wang, Yulong Wang, Feng Zheng:
Distributed Ranking with Communications: Approximation Analysis and Applications. 7037-7045 - Mengyun Chen, Kai-Xin Gao, Xiaolei Liu, Zidong Wang, Ningxi Ni, Qian Zhang, Lei Chen, Chao Ding, Zheng-Hai Huang, Min Wang, Shuangling Wang, Fan Yu, Xinyuan Zhao, Dachuan Xu:
THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation. 7046-7054 - Siyuan Chen, Jiahai Wang, Guoqing Li:
Neural Relational Inference with Efficient Message Passing Mechanisms. 7055-7063 - Xin Chen, Lingxi Xie, Jun Wu, Longhui Wei, Yuhui Xu, Qi Tian:
Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks. 7064-7072 - Yi Chen, Hong Qu, Malu Zhang, Yuchen Wang:
Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information. 7073-7080 - Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao:
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. 7081-7089 - Hsin-Pai Cheng, Tunhou Zhang, Yixing Zhang, Shiyu Li, Feng Liang, Feng Yan, Meng Li, Vikas Chandra, Hai Li, Yiran Chen:
NASGEM: Neural Architecture Search via Graph Embedding Method. 7090-7098 - Li Cheng, Yijie Wang, Xinwang Liu:
Neighborhood Consensus Networks for Unsupervised Multi-view Outlier Detection. 7099-7106 - Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das:
Self-Progressing Robust Training. 7107-7115 - Jen-Tzung Chien, Yi-Hsiang Chen:
Continuous-Time Attention for Sequential Learning. 7116-7124 - Anthony Corso, Mykel J. Kochenderfer:
Transfer Learning for Efficient Iterative Safety Validation. 7125-7132 - Calin Cruceru, Gary Bécigneul, Octavian-Eugen Ganea:
Computationally Tractable Riemannian Manifolds for Graph Embeddings. 7133-7141 - Jiaxu Cui, Bo Yang, Bingyi Sun, Jiming Liu:
Cost-aware Graph Generation: A Deep Bayesian Optimization Approach. 7142-7150 - Zijun Cui, Pavan Kapanipathi, Kartik Talamadupula, Tian Gao, Qiang Ji:
Type-augmented Relation Prediction in Knowledge Graphs. 7151-7159 - Will Dabney, André Barreto, Mark Rowland, Robert Dadashi, John Quan, Marc G. Bellemare, David Silver:
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning. 7160-7168 - Falcon Z. Dai, Matthew R. Walter:
Loop Estimator for Discounted Values in Markov Reward Processes. 7169-7175 - Georgios Damaskinos, Celestine Mendler-Dünner, Rachid Guerraoui, Nikolaos Papandreou, Thomas P. Parnell:
Differentially Private Stochastic Coordinate Descent. 7176-7184 - Yatin Dandi, Homanga Bharadhwaj, Abhishek Kumar, Piyush Rai:
Generalized Adversarially Learned Inference. 7185-7192 - Antoine Dedieu, Miguel Lázaro-Gredilla, Dileep George:
Sample-Efficient L0-L2 Constrained Structure Learning of Sparse Ising Models. 7193-7200 - Xiang Deng, Zhongfei Zhang:
Learning with Retrospection. 7201-7209 - Aryan Deshwal, Syrine Belakaria, Janardhan Rao Doppa:
Mercer Features for Efficient Combinatorial Bayesian Optimization. 7210-7218 - Jiahao Ding, Guannan Liang, Jinbo Bi, Miao Pan:
Differentially Private and Communication Efficient Collaborative Learning. 7219-7227 - Qianggang Ding, Sifan Wu, Tao Dai, Hao Sun, Jiadong Guo, Zhang-Hua Fu, Shutao Xia:
Knowledge Refinery: Learning from Decoupled Label. 7228-7235 - Kien Do, Truyen Tran, Svetha Venkatesh:
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization. 7236-7244 - Andis Draguns, Emils Ozolins, Agris Sostaks, Matiss Apinis, Karlis Freivalds:
Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences. 7245-7253 - Yihan Du, Siwei Wang, Longbo Huang:
A One-Size-Fits-All Solution to Conservative Bandit Problems. 7254-7261 - Yihan Du, Yuko Kuroki, Wei Chen:
Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback. 7262-7270 - Sebastijan Dumancic, Tias Guns, Andrew Cropper:
Knowledge Refactoring for Inductive Program Synthesis. 7271-7278 - Ujjal Kr Dutta, Mehrtash Harandi, Chellu Chandra Sekhar:
Semi-Supervised Metric Learning: A Deep Resurrection. 7279-7287 - Yonathan Efroni, Nadav Merlis, Shie Mannor:
Reinforcement Learning with Trajectory Feedback. 7288-7295 - Eduard Eiben, Robert Ganian, Iyad Kanj, Sebastian Ordyniak, Stefan Szeider:
The Parameterized Complexity of Clustering Incomplete Data. 7296-7304 - Benjamin Elder, Matthew Arnold, Anupama Murthi, Jirí Navrátil:
Learning Prediction Intervals for Model Performance. 7305-7313 - Alina Ene, Huy L. Nguyen, Adrian Vladu:
Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities. 7314-7321 - Alina Ene, Huy L. Nguyen, Adrian Vladu:
Projection-Free Bandit Optimization with Privacy Guarantees. 7322-7330 - Shohei Enomoto, Takeharu Eda:
Learning to Cascade: Confidence Calibration for Improving the Accuracy and Computational Cost of Cascade Inference Systems. 7331-7339 - Hossein Esfandiari, Amin Karbasi, Abbas Mehrabian, Vahab S. Mirrokni:
Regret Bounds for Batched Bandits. 7340-7348 - Hossein Esfandiari, Vahab S. Mirrokni, Peilin Zhong:
Almost Linear Time Density Level Set Estimation via DBSCAN. 7349-7357 - Negar Etemadyrad, Qingzhe Li, Liang Zhao:
Deep Graph Spectral Evolution Networks for Graph Topological Evolution. 7358-7366 - Jiameng Fan, Wenchao Li:
Adversarial Training and Provable Robustness: A Tale of Two Objectives. 7367-7376 - Xiaomeng Fan, Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi:
Learning a Gradient-free Riemannian Optimizer on Tangent Spaces. 7377-7384 - Yang Fan, Yingce Xia, Lijun Wu, Shufang Xie, Weiqing Liu, Jiang Bian, Tao Qin, Xiang-Yang Li:
Learning to Reweight with Deep Interactions. 7385-7393 - Amirreza Farnoosh, Bahar Azari, Sarah Ostadabbas:
Deep Switching Auto-Regressive Factorization: Application to Time Series Forecasting. 7394-7403 - Boyuan Feng, Yuke Wang, Yufei Ding:
UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. 7404-7412 - Haozhe Feng, Kezhi Kong, Minghao Chen, Tianye Zhang, Minfeng Zhu, Wei Chen:
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations. 7413-7421 - Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen:
Learning to Augment for Data-scarce Domain BERT Knowledge Distillation. 7422-7430 - Shaoxiong Feng, Hongshen Chen, Xuancheng Ren, Zhuoye Ding, Kan Li, Xu Sun:
Collaborative Group Learning. 7431-7438 - Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe:
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression. 7439-7447 - Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp:
Few-Shot One-Class Classification via Meta-Learning. 7448-7456 - Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu:
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. 7457-7465 - Mengying Fu, Tianning Yuan, Fang Wan, Songcen Xu, Qixiang Ye:
Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment. 7466-7473 - Zhang-Hua Fu, Kai-Bin Qiu, Hongyuan Zha:
Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances. 7474-7482
AAAI-21 Technical Tracks 9
AAAI Technical Track on Machine Learning II
- Ji Gan, Weiqiang Wang:
HiGAN: Handwriting Imitation Conditioned on Arbitrary-Length Texts and Disentangled Styles. 7484-7492 - Ting Gan, Keqi Han, Hao Huang, Shi Ying, Yunjun Gao, Zongpeng Li:
Diffusion Network Inference from Partial Observations. 7493-7500 - Yaozhong Gan, Zhe Zhang, Xiaoyang Tan:
Stabilizing Q Learning Via Soft Mellowmax Operator. 7501-7509 - Hongchang Gao, An Xu, Heng Huang:
On the Convergence of Communication-Efficient Local SGD for Federated Learning. 7510-7518 - Kai-Xin Gao, Xiao-Lei Liu, Zheng-Hai Huang, Min Wang, Zidong Wang, Dachuan Xu, Fan Yu:
A Trace-restricted Kronecker-Factored Approximation to Natural Gradient. 7519-7527 - Li Gao, Lefei Zhang, Qian Zhang:
Addressing Domain Gap via Content Invariant Representation for Semantic Segmentation. 7528-7536 - Yuan Gao, Christian Kroer, Donald Goldfarb:
Increasing Iterate Averaging for Solving Saddle-Point Problems. 7537-7544 - Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu:
Uncertainty-Aware Multi-View Representation Learning. 7545-7553 - Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel:
Justicia: A Stochastic SAT Approach to Formally Verify Fairness. 7554-7563 - Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma:
The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective. 7564-7573 - Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang:
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. 7574-7582 - Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T. Chen, David Z. Pan:
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization. 7583-7591 - Yulong Gu:
Attentive Neural Point Processes for Event Forecasting. 7592-7600 - Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang:
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization. 7601-7609 - Umang Gupta, Aaron M. Ferber, Bistra Dilkina, Greg Ver Steeg:
Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation. 7610-7619 - Michael Gygli, Jasper R. R. Uijlings, Vittorio Ferrari:
Towards Reusable Network Components by Learning Compatible Representations. 7620-7629 - Eric Han, Ishank Arora, Jonathan Scarlett:
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models. 7630-7638 - Tao Han, Wei-Wei Tu, Yufeng Li:
Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability. 7639-7646 - Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening:
DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning. 7647-7656 - Ramin M. Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu:
Liquid Time-constant Networks. 7657-7666 - Aria HasanzadeZonuzy, Archana Bura, Dileep M. Kalathil, Srinivas Shakkottai:
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs. 7667-7674 - Michael A. Hedderich, Dawei Zhu, Dietrich Klakow:
Analysing the Noise Model Error for Realistic Noisy Label Data. 7675-7684 - Christoph Hertrich, Martin Skutella:
Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size. 7685-7693 - Matthew J. Holland:
Scaling-Up Robust Gradient Descent Techniques. 7694-7701 - Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou:
Learning Model-Based Privacy Protection under Budget Constraints. 7702-7710 - Xiaobin Hong, Tong Zhang, Zhen Cui, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang:
Graph Game Embedding. 7711-7720 - Danijela Horak, Simiao Yu, Gholamreza Salimi Khorshidi:
Topology Distance: A Topology-Based Approach for Evaluating Generative Adversarial Networks. 7721-7728 - Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
Storage Fit Learning with Feature Evolvable Streams. 7729-7736 - Jian Hou, Fangyuan Wang, Lili Wang, Zhiyong Chen:
Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law. 7737-7745 - Liang Hou, Zehuan Yuan, Lei Huang, Huawei Shen, Xueqi Cheng, Changhu Wang:
Slimmable Generative Adversarial Networks. 7746-7753 - Shifu Hou, Yujie Fan, Mingxuan Ju, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong, Fudong Shao:
Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond. 7754-7761 - Yuxin Hou, Ari Heljakka, Arno Solin:
Gaussian Process Priors for View-Aware Inference. 7762-7770 - Ming-En Hsieh, Vincent Tseng:
Boosting Multi-task Learning Through Combination of Task Labels - with Applications in ECG Phenotyping. 7771-7779 - Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin:
OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization. 7780-7788 - Rongyao Hu, Zhenyun Deng, Xiaofeng Zhu:
Multi-scale Graph Fusion for Co-saliency Detection. 7789-7796 - Wenpeng Hu, Qi Qin, Mengyu Wang, Jinwen Ma, Bing Liu:
Continual Learning by Using Information of Each Class Holistically. 7797-7805 - Wenpeng Hu, Ran Le, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao, Rui Yan:
Predictive Adversarial Learning from Positive and Unlabeled Data. 7806-7814 - Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen:
Multidimensional Uncertainty-Aware Evidential Neural Networks. 7815-7822 - Bo Huang, Zhiwei Ke, Yi Wang, Wei Wang, Linlin Shen, Feng Liu:
Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles. 7823-7831 - Han-Hsien Huang, Mi-Yen Yeh:
Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization. 7832-7839 - Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang:
Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition. 7840-7847 - Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang:
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning. 7848-7856 - Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li:
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization. 7857-7864 - Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang:
Personalized Cross-Silo Federated Learning on Non-IID Data. 7865-7873 - Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar:
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits. 7874-7882 - Zhouyuan Huo, Bin Gu, Heng Huang:
Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling. 7883-7890 - Jayaraman J. Thiagarajan, Vivek Sivaraman Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias:
Accurate and Robust Feature Importance Estimation under Distribution Shifts. 7891-7898 - Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup:
Variance Penalized On-Policy and Off-Policy Actor-Critic. 7899-7907 - Taeuk Jang, Feng Zheng, Xiaoqian Wang:
Constructing a Fair Classifier with Generated Fair Data. 7908-7916 - Porter Jenkins, Ahmad Farag, J. Stockton Jenkins, Huaxiu Yao, Suhang Wang, Zhenhui Li:
Neural Utility Functions. 7917-7925 - Insu Jeon, Wonkwang Lee, Myeongjang Pyeon, Gunhee Kim:
IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks. 7926-7934 - Disi Ji, Robert L. Logan IV, Padhraic Smyth, Mark Steyvers:
Active Bayesian Assessment of Black-Box Classifiers. 7935-7944 - Mingi Ji, Byeongho Heo, Sungrae Park:
Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching. 7945-7952 - Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu:
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. 7953-7960 - Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong:
Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks. 7961-7969 - Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang:
Clustering Ensemble Meets Low-rank Tensor Approximation. 7970-7978 - Haobo Jiang, Jin Xie, Jian Yang:
Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks. 7979-7986 - Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang:
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification. 7987-7994 - Yuqian Jiang, Suda Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, Peter Stone:
Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks. 7995-8003 - Ming Jin, Heng Chang, Wenwu Zhu, Somayeh Sojoudi:
Power up! Robust Graph Convolutional Network via Graph Powering. 8004-8012 - Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang:
Balanced Open Set Domain Adaptation via Centroid Alignment. 8013-8020 - Donggyu Joo, Eojindl Yi, Sunghyun Baek, Junmo Kim:
Linearly Replaceable Filters for Deep Network Channel Pruning. 8021-8029 - Krishna Chaitanya Kalagarla, Rahul Jain, Pierluigi Nuzzo:
A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints. 8030-8037 - Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi:
Winning Lottery Tickets in Deep Generative Models. 8038-8046 - Yongxin Kang, Enmin Zhao, Kai Li, Junliang Xing:
Exploration via State influence Modeling. 8047-8054 - Mahdi Karami, Dale Schuurmans:
Deep Probabilistic Canonical Correlation Analysis. 8055-8063 - Rushang Karia, Siddharth Srivastava:
Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning. 8064-8073 - Kenji Kawaguchi, Qingyun Sun:
A Recipe for Global Convergence Guarantee in Deep Neural Networks. 8074-8082 - Takahiro Kawashima, Hayaru Shouno, Hideitsu Hino:
Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization. 8083-8091 - Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi:
Improving Fairness and Privacy in Selection Problems. 8092-8100 - Sarit Khirirat, Sindri Magnússon, Arda Aytekin, Mikael Johansson:
A Flexible Framework for Communication-Efficient Machine Learning. 8101-8109 - KrishnaTeja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh K. Iyer:
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning. 8110-8118 - Hoki Kim, Woojin Lee, Jaewook Lee:
Understanding Catastrophic Overfitting in Single-step Adversarial Training. 8119-8127 - Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon:
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder. 8128-8136 - Jong-Yeong Kim, Dong-Wan Choi:
Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network. 8137-8145 - Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jhin, Noseong Park:
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation. 8146-8154 - Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik:
Kernel-convoluted Deep Neural Networks with Data Augmentation. 8155-8162 - Segwang Kim, Hyoungwook Nam, Joonyoung Kim, Kyomin Jung:
Neural Sequence-to-grid Module for Learning Symbolic Rules. 8163-8171 - Taesup Kim, Sungwoong Kim, Yoshua Bengio:
Visual Concept Reasoning Networks. 8172-8180 - Idan Kligvasser, Tomer Michaeli:
Sparsity Aware Normalization for GANs. 8181-8190 - Jakob Kruse, Gianluca Detommaso, Ullrich Köthe, Robert Scheichl:
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference. 8191-8199 - Alan Kuhnle:
Nearly Linear-Time, Parallelizable Algorithms for Non-Monotone Submodular Maximization. 8200-8208 - Vyacheslav Kungurtsev, Malcolm Egan, Bapi Chatterjee, Dan Alistarh:
Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees. 8209-8216 - I-Yuan Kuo, Wen-Li Wei, Jen-Chun Lin:
Positions, Channels, and Layers: Fully Generalized Non-Local Network for Singer Identification. 8217-8225 - Maksim Kuznetsov, Daniil Polykovskiy:
MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation. 8226-8234 - Weichao Lan, Liang Lan:
Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters. 8235-8242 - Qicheng Lao, Xiang Jiang, Mohammad Havaei:
Hypothesis Disparity Regularized Mutual Information Maximization. 8243-8251 - Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George:
Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables. 8252-8260 - Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro:
Metrics and Continuity in Reinforcement Learning. 8261-8269 - Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman:
Lipschitz Lifelong Reinforcement Learning. 8270-8278 - Antoine Ledent, Waleed Mustafa, Yunwen Lei, Marius Kloft:
Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks. 8279-8287 - Dongha Lee, Seonghyeon Lee, Hwanjo Yu:
Learnable Dynamic Temporal Pooling for Time Series Classification. 8288-8296 - Seunghyun Lee, Byung Cheol Song:
Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network. 8297-8305 - Suhyeon Lee, Junhyuk Hyun, Hongje Seong, Euntai Kim:
Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer. 8306-8315 - Zijian Lei, Liang Lan:
Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients. 8316-8323 - Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao:
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem. 8324-8331 - Changsheng Li, Kaihang Mao, Lingyan Liang, Dongchun Ren, Wei Zhang, Ye Yuan, Guoren Wang:
Unsupervised Active Learning via Subspace Learning. 8332-8339 - Changsheng Li, Chen Yang, Bo Liu, Ye Yuan, Guoren Wang:
LRSC: Learning Representations for Subspace Clustering. 8340-8348 - Feijiang Li, Yuhua Qian, Jieting Wang:
GoT: a Growing Tree Model for Clustering Ensemble. 8349-8356 - Guangxi Li, Zhixin Song, Xin Wang:
VSQL: Variational Shadow Quantum Learning for Classification. 8357-8365 - Guanyue Li, Qianfen Jiao, Sheng Qian, Si Wu, Hau-San Wong:
High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition. 8366-8374 - Guozhong Li, Byron Choi, Jianliang Xu, Sourav S. Bhowmick, Kwok-Pan Chun, Grace Lai-Hung Wong:
ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification. 8375-8383 - Jialian Li, Chao Du, Jun Zhu:
A Bayesian Approach for Subset Selection in Contextual Bandits. 8384-8391 - Jiangxin Li, Zhao Kang, Chong Peng, Wenyu Chen:
Self-Paced Two-dimensional PCA. 8392-8400 - Junjie Li, Zilei Wang, Xiaoming Hu:
Learning Intact Features by Erasing-Inpainting for Few-shot Classification. 8401-8409 - Linyang Li, Xipeng Qiu:
Token-Aware Virtual Adversarial Training in Natural Language Understanding. 8410-8418
AAAI-21 Technical Tracks 10
AAAI Technical Track on Machine Learning III
- Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian:
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. 8420-8428 - Luchen Li, A. Aldo Faisal:
Bayesian Distributional Policy Gradients. 8429-8437 - Qunwei Li, Shaofeng Zou, Wenliang Zhong:
Learning Graph Neural Networks with Approximate Gradient Descent. 8438-8446 - Shu Li, Wei Wang, Wen-Tao Li, Pan Chen:
Multi-View Representation Learning with Manifold Smoothness. 8447-8454 - Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin:
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. 8455-8464 - Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti, Xiaodi Wu:
Sublinear Classical and Quantum Algorithms for General Matrix Games. 8465-8473 - Xianfeng Li, Weijie Chen, Di Xie, Shicai Yang, Peng Yuan, Shiliang Pu, Yueting Zhuang:
A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data. 8474-8481 - Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu:
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints. 8482-8490 - Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui:
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements. 8491-8500 - Yangyang Li, Lin Kong, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Zhouchen Lin:
Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding. 8501-8509 - Yanxi Li, Zean Wen, Yunhe Wang, Chang Xu:
One-shot Graph Neural Architecture Search with Dynamic Search Space. 8510-8517 - Yehao Li, Yingwei Pan, Ting Yao, Jingwen Chen, Tao Mei:
Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network. 8518-8526 - Yingying Li, Subhro Das, Na Li:
Online Optimal Control with Affine Constraints. 8527-8537 - Yue Li, Wenrui Ding, Chunlei Liu, Baochang Zhang, Guodong Guo:
TRQ: Ternary Neural Networks With Residual Quantization. 8538-8546 - Yunfan Li, Peng Hu, Jerry Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng:
Contrastive Clustering. 8547-8555 - Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant G. Honavar:
Longitudinal Deep Kernel Gaussian Process Regression. 8556-8564 - Youwei Liang, Dong Huang:
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness. 8565-8573 - Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan:
Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding. 8574-8582 - Julian Lienen, Eyke Hüllermeier:
From Label Smoothing to Label Relaxation. 8583-8591 - Omri Lifshitz, Lior Wolf:
Sample Selection for Universal Domain Adaptation. 8592-8600 - Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi:
Class-Attentive Diffusion Network for Semi-Supervised Classification. 8601-8609 - Feng Lin, Haohang Xu, Houqiang Li, Hongkai Xiong, Guo-Jun Qi:
Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning. 8610-8617 - Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh:
Multi-Proxy Wasserstein Classifier for Image Classification. 8618-8626 - Bingyan Liu, Yifeng Cai, Yao Guo, Xiangqun Chen:
TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning. 8627-8634 - Chen Liu, Yanwei Fu, Chengming Xu, Siqian Yang, Jilin Li, Chengjie Wang, Li Zhang:
Learning a Few-shot Embedding Model with Contrastive Learning. 8635-8643 - Guanting Liu, Yujie Zhong, Sheng Guo, Matthew R. Scott, Weilin Huang:
Unchain the Search Space with Hierarchical Differentiable Architecture Search. 8644-8652 - Huihui Liu, Yiding Yang, Xinchao Wang:
Overcoming Catastrophic Forgetting in Graph Neural Networks. 8653-8661 - Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin:
Stable Adversarial Learning under Distributional Shifts. 8662-8670 - Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, Yuexiang Yang:
Hierarchical Multiple Kernel Clustering. 8671-8679 - Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto:
Dynamically Grown Generative Adversarial Networks. 8680-8687 - Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa:
FLAME: Differentially Private Federated Learning in the Shuffle Model. 8688-8696 - Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu:
Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision. 8697-8705 - Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin:
Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning. 8706-8714 - Yuanxin Liu, Zheng Lin, Fengcheng Yuan:
ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques. 8715-8722 - Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long:
Task Aligned Generative Meta-learning for Zero-shot Learning. 8723-8731 - Romain Lopez, Inderjit S. Dhillon, Michael I. Jordan:
Learning from eXtreme Bandit Feedback. 8732-8740 - Ni Y. Lu, Kun Zhang, Changhe Yuan:
Improving Causal Discovery By Optimal Bayesian Network Learning. 8741-8748 - Shiyin Lu, Guanghui Wang, Lijun Zhang:
Stochastic Graphical Bandits with Adversarial Corruptions. 8749-8757 - Shiyin Lu, Yao Hu, Lijun Zhang:
Stochastic Bandits with Graph Feedback in Non-Stationary Environments. 8758-8766 - Songtao Lu, Kaiqing Zhang, Tianyi Chen, Tamer Basar, Lior Horesh:
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning. 8767-8775 - Su Lu, Han-Jia Ye, De-Chuan Zhan:
Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors. 8776-8783 - Chuan Luo, Pu Zhao, Chen Chen, Bo Qiao, Chao Du, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin:
PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector. 8784-8792 - Luo Luo, Cheng Chen, Guangzeng Xie, Haishan Ye:
Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices. 8793-8800 - Xiangde Luo, Jieneng Chen, Tao Song, Guotai Wang:
Semi-supervised Medical Image Segmentation through Dual-task Consistency. 8801-8809 - Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang:
Adaptive Knowledge Driven Regularization for Deep Neural Networks. 8810-8818 - Fan Lyu, Shuai Wang, Wei Feng, Zihan Ye, Fuyuan Hu, Song Wang:
Multi-Domain Multi-Task Rehearsal for Lifelong Learning. 8819-8827 - Jerry Ma, Denis Yarats:
On the Adequacy of Untuned Warmup for Adaptive Optimization. 8828-8836 - Qianli Ma, Chuxin Chen, Sen Li, Garrison W. Cottrell:
Learning Representations for Incomplete Time Series Clustering. 8837-8846 - Qianli Ma, Zhenjing Zheng, Jiawei Zheng, Sen Li, Wanqing Zhuang, Garrison W. Cottrell:
Joint-Label Learning by Dual Augmentation for Time Series Classification. 8847-8855 - Tengfei Ma, Jie Chen:
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport. 8856-8864 - Yuzhe Ma, Jon A. Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu:
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems. 8865-8873 - Sultan Javed Majeed, Marcus Hutter:
Exact Reduction of Huge Action Spaces in General Reinforcement Learning. 8874-8883 - Xiaofeng Mao, Yuefeng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue:
Composite Adversarial Attacks. 8884-8892 - Yiqiao Mao, Xiaoqiang Yan, Qiang Guo, Yangdong Ye:
Deep Mutual Information Maximin for Cross-Modal Clustering. 8893-8901 - Radu Marinescu, Akihiro Kishimoto, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea:
Searching for Machine Learning Pipelines Using a Context-Free Grammar. 8902-8911 - Karolis Martinkus, Aurélien Lucchi, Nathanaël Perraudin:
Scalable Graph Networks for Particle Simulations. 8912-8920 - Avi Matza, Yuval Bistritz:
Infinite Gaussian Mixture Modeling with an Improved Estimation of the Number of Clusters. 8921-8929 - Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan:
Exacerbating Algorithmic Bias through Fairness Attacks. 8930-8938 - Zihang Meng, Sathya N. Ravi, Vikas Singh:
Physarum Powered Differentiable Linear Programming Layers and Applications. 8939-8949 - Nadav Merlis, Shie Mannor:
Lenient Regret for Multi-Armed Bandits. 8950-8957 - Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro, Marcello Restelli:
Policy Optimization as Online Learning with Mediator Feedback. 8958-8966 - Alexander Mey, Marco Loog:
Consistency and Finite Sample Behavior of Binary Class Probability Estimation. 8967-8974 - Osman Mian, Alexander Marx, Jilles Vreeken:
Discovering Fully Oriented Causal Networks. 8975-8982 - Xiaoye Miao, Yangyang Wu, Jun Wang, Yunjun Gao, Xudong Mao, Jianwei Yin:
Generative Semi-supervised Learning for Multivariate Time Series Imputation. 8983-8991 - Shunya Minami, Song Liu, Stephen Wu, Kenji Fukumizu, Ryo Yoshida:
A General Class of Transfer Learning Regression without Implementation Cost. 8992-8999 - Shanka Subhra Mondal, Nikhil Sheoran, Subrata Mitra:
Scheduling of Time-Varying Workloads Using Reinforcement Learning. 9000-9008 - Youssef Mroueh, Igor Melnyk, Pierre L. Dognin, Jarret Ross, Tom Sercu:
Improved Mutual Information Estimation. 9009-9017 - Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell:
Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines. 9018-9027 - Mirco Mutti, Lorenzo Pratissoli, Marcello Restelli:
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate. 9028-9036 - Giorgi Nadiradze, Ilia Markov, Bapi Chatterjee, Vyacheslav Kungurtsev, Dan Alistarh:
Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent. 9037-9045 - Lokesh Nagalapatti, Ramasuri Narayanam:
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning. 9046-9054 - Stanislav Naumov, Grigory Yaroslavtsev, Dmitrii Avdiukhin:
Objective-Based Hierarchical Clustering of Deep Embedding Vectors. 9055-9063 - Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann:
5* Knowledge Graph Embeddings with Projective Transformations. 9064-9072 - Daniel Neider, Jean-Raphaël Gaglione, Ivan Gavran, Ufuk Topcu, Bo Wu, Zhe Xu:
Advice-Guided Reinforcement Learning in a non-Markovian Environment. 9073-9080 - Tuan A. Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang:
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning. 9081-9091 - Hoang D. Nguyen, Xuan-Son Vu, Duc-Trong Le:
Modular Graph Transformer Networks for Multi-Label Image Classification. 9092-9100 - Huy L. Nguyen, Anamay Chaturvedi, Eric Z. Xu:
Differentially Private k-Means via Exponential Mechanism and Max Cover. 9101-9108 - Lan N. Nguyen, My T. Thai:
Minimum Robust Multi-Submodular Cover for Fairness. 9109-9116 - Nam Nguyen, Brian Quanz:
Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting. 9117-9125 - Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet:
An Information-Theoretic Framework for Unifying Active Learning Problems. 9126-9134 - Quoc Phong Nguyen, Sebastian Tay, Bryan Kian Hsiang Low, Patrick Jaillet:
Top-k Ranking Bayesian Optimization. 9135-9143 - Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh:
Distributional Reinforcement Learning via Moment Matching. 9144-9152 - Mohammad Hossein Nikravan, Marjan Movahedan, Sandra Zilles:
Precision-based Boosting. 9153-9160 - Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang:
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries. 9161-9169 - Dolav Nitay, Dana Fisman, Michal Ziv-Ukelson:
Learning of Structurally Unambiguous Probabilistic Grammars. 9170-9178 - Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren:
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. 9179-9187 - Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi:
Warm Starting CMA-ES for Hyperparameter Optimization. 9188-9196 - Ritesh Noothigattu, Tom Yan, Ariel D. Procaccia:
Inverse Reinforcement Learning From Like-Minded Teachers. 9197-9204 - Min-hwan Oh, Garud Iyengar:
Multinomial Logit Contextual Bandits: Provable Optimality and Practicality. 9205-9213 - César Ojeda, Kostadin Cvejoski, Bogdan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramsés J. Sánchez:
Learning Deep Generative Models for Queuing Systems. 9214-9222 - Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto:
OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport. 9223-9232 - Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark Coates:
FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting. 9233-9241 - Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio:
Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting. 9242-9250 - Aomar Osmani, Massinissa Hamidi, Salah Bouhouche:
Augmented Experiment in Material Engineering Using Machine Learning. 9251-9258 - Takayuki Osogami:
Second Order Techniques for Learning Time-series with Structural Breaks. 9259-9267 - Mustafa Safa Özdayi, Murat Kantarcioglu, Yulia R. Gel:
Defending against Backdoors in Federated Learning with Robust Learning Rate. 9268-9276 - Aldo Pacchiano, Heinrich Jiang, Michael I. Jordan:
Robustness Guarantees for Mode Estimation with an Application to Bandits. 9277-9284 - Ziqi Pan, Li Niu, Jianfu Zhang, Liqing Zhang:
Disentangled Information Bottleneck. 9285-9293 - Rameswar Panda, Michele Merler, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu (Richard) Chen, Minsik Cho, Rogério Feris, David S. Kung, Bishwaranjan Bhattacharjee:
NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search. 9294-9302 - Bo Pang, Zhong-Ping Jiang:
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation. 9303-9311 - Nicolas Papernot, Abhradeep Thakurta, Shuang Song, Steve Chien, Úlfar Erlingsson:
Tempered Sigmoid Activations for Deep Learning with Differential Privacy. 9312-9321 - Namuk Park, Taekyu Lee, Songkuk Kim:
Vector Quantized Bayesian Neural Network Inference for Data Streams. 9322-9330 - Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga:
Maximum Roaming Multi-Task Learning. 9331-9341 - Matteo Pegoraro, Mario Beraha:
Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection. 9342-9349
AAAI-21 Technical Tracks 11
AAAI Technical Track on Machine Learning IV
- Hieu Pham, Quoc V. Le:
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks. 9351-9359 - Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie:
Fast Multi-view Discrete Clustering with Anchor Graphs. 9360-9367 - Xiao Qin, Nasrullah Sheikh, Berthold Reinwald, Lingfei Wu:
Relation-aware Graph Attention Model with Adaptive Self-adversarial Training. 9368-9376 - James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras:
Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach. 9377-9385 - Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean:
Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection. 9386-9394 - Prasanna Sanjay Raut, Omid Sadeghi, Maryam Fazel:
Online DR-Submodular Maximization: Minimizing Regret and Constraint Violation. 9395-9402 - Yong Ren, Yucen Luo, Jun Zhu:
Improving Generative Moment Matching Networks with Distribution Partition. 9403-9410 - Zhenwen Ren, Quansen Sun, Dong Wei:
Multiple Kernel Clustering with Kernel k-Means Coupled Graph Tensor Learning. 9411-9418 - Ashkan Rezaei, Anqi Liu, Omid Memarrast, Brian D. Ziebart:
Robust Fairness Under Covariate Shift. 9419-9427 - Michael Rotman, Lior Wolf:
Shuffling Recurrent Neural Networks. 9428-9435 - Litu Rout:
Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability. 9436-9444 - Indradyumna Roy, Abir De, Soumen Chakrabarti:
Adversarial Permutation Guided Node Representations for Link Prediction. 9445-9453 - Josh Roy, George Dimitri Konidaris:
Visual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion. 9454-9462 - Adria Ruiz, Jakob Verbeek:
Anytime Inference with Distilled Hierarchical Neural Ensembles. 9463-9471 - Navyata Sanghvi, Shinnosuke Usami, Mohit Sharma, Joachim Groeger, Kris Kitani:
Inverse Reinforcement Learning with Explicit Policy Estimates. 9472-9480 - Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran, Vineeth N. Balasubramanian:
A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization. 9481-9488 - Rei Sato, Jun Sakuma, Youhei Akimoto:
AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment. 9489-9496 - Shachar Schnapp, Sivan Sabato:
Active Feature Selection for the Mutual Information Criterion. 9497-9504 - Julien Schroeter, Kirill A. Sidorov, A. David Marshall:
Learning Precise Temporal Point Event Detection with Misaligned Labels. 9505-9514 - Lei Sha, Thomas Lukasiewicz:
Multi-type Disentanglement without Adversarial Training. 9515-9523 - Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias:
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks. 9524-9532 - Xiaoting Shao, Arseny Skryagin, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting:
Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions. 9533-9540 - Amr Sharaf, Hal Daumé III:
Meta-Learning Effective Exploration Strategies for Contextual Bandits. 9541-9548 - Virat Shejwalkar, Amir Houmansadr:
Membership Privacy for Machine Learning Models Through Knowledge Transfer. 9549-9557 - Junhong Shen, Lin F. Yang:
Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation. 9558-9566 - Lifeng Shen, Zhongzhong Yu, Qianli Ma, James T. Kwok:
Time Series Anomaly Detection with Multiresolution Ensemble Decoding. 9567-9575 - Shuheng Shen, Yifei Cheng, Jingchang Liu, Linli Xu:
STL-SGD: Speeding Up Local SGD with Stagewise Communication Period. 9576-9584 - Zhengyang Shen, Tiancheng Shen, Zhouchen Lin, Jinwen Ma:
PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs. 9585-9593 - Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng:
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning. 9594-9602 - Chengshuai Shi, Cong Shen:
Federated Multi-Armed Bandits. 9603-9611 - Fan Shi, Bin Li, Xiangyang Xue:
Raven's Progressive Matrices Completion with Latent Gaussian Process Priors. 9612-9620 - Wanli Shi, Bin Gu:
Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization. 9621-9629 - Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang:
Online Class-Incremental Continual Learning with Adversarial Shapley Value. 9630-9638 - Hiroaki Shiokawa:
Scalable Affinity Propagation for Massive Datasets. 9639-9646 - Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith:
Interpretable Sequence Classification via Discrete Optimization. 9647-9656 - Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim:
Towards Domain Invariant Single Image Dehazing. 9657-9665 - Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti:
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles. 9666-9674 - Chi Chiu So, Tsz On Li, Chufang Wu, Siu Pang Yung:
Differential Spectral Normalization (DSN) for PDE Discovery. 9675-9684 - Alexander Soen, Alexander Patrick Mathews, Daniel Grixti-Cheng, Lexing Xie:
UNIPoint: Universally Approximating Point Processes Intensities. 9685-9694 - Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot:
Solving Common-Payoff Games with Approximate Policy Iteration. 9695-9703 - Chonghyuk Song, Eunseok Kim, Inwook Shim:
Improving Gradient Flow with Unrolled Highway Expectation Maximization. 9704-9712 - Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon:
Implicit Kernel Attention. 9713-9721 - Yang Song, Qiyu Kang, Wee Peng Tay:
Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks. 9722-9729 - Aleksandar Stanic, Sjoerd van Steenkiste, Jürgen Schmidhuber:
Hierarchical Relational Inference. 9730-9738 - Ilia Sucholutsky, Matthias Schonlau:
'Less Than One'-Shot Learning: Learning N Classes From M < N Samples. 9739-9746 - Jiankai Sun, Rui Liu, Bolei Zhou:
HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning. 9747-9755 - Tao Sun, Dongsheng Li, Bao Wang:
Stability and Generalization of Decentralized Stochastic Gradient Descent. 9756-9764 - Yanchao Sun, Xiangyu Yin, Furong Huang:
TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL. 9765-9773 - Prasad Tadepalli, Stuart J. Russell:
PAC Learning of Causal Trees with Latent Variables. 9774-9781 - Naoya Takeishi, Yoshinobu Kawahara:
Learning Dynamics Models with Stable Invariant Sets. 9782-9790 - Kei Takemura, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi:
Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions. 9791-9798 - Andong Tan, Duc Tam Nguyen, Maximilian Dax, Matthias Nießner, Thomas Brox:
Explicitly Modeled Attention Maps for Image Classification. 9799-9807 - Haoru Tan, Chuang Wang, Sitong Wu, Tie-Qiang Wang, Xu-Yao Zhang, Cheng-Lin Liu:
Proxy Graph Matching with Proximal Matching Networks. 9808-9815 - Weihao Tan, Devdhar Patel, Robert Kozma:
Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks. 9816-9824 - Xinrui Tan, Hongjia Li, Liming Wang, Xueqing Huang, Zhen Xu:
Empowering Adaptive Early-Exit Inference with Latency Awareness. 9825-9833 - Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao:
Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. 9834-9842 - Wei Tao, Wei Li, Zhisong Pan, Qing Tao:
Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization. 9843-9850 - Akira Terauchi, Naoki Mori:
Evolutionary Approach for AutoAugment Using the Thermodynamical Genetic Algorithm. 9851-9858 - Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Semi-Supervised Knowledge Amalgamation for Sequence Classification. 9859-9867 - Kim Thang Nguyen, Abhinav Srivastav:
Online Non-Monotone DR-Submodular Maximization. 9868-9876 - Jinyu Tian, Jiantao Zhou, Yuanman Li, Jia Duan:
Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain. 9877-9885 - Christian Tomani, Florian Buettner:
Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration. 9886-9896 - Jean-François Ton, Dino Sejdinovic, Kenji Fukumizu:
Meta Learning for Causal Direction. 9897-9905 - Anh Tong, Toan M. Tran, Hung Bui, Jaesik Choi:
Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior. 9906-9914 - Anh Tong, Jaesik Choi:
Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems. 9915-9922 - Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso:
Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods. 9923-9931 - Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck:
Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach. 9932-9939 - Sofia Triantafillou, Gregory Cooper:
Learning Adjustment Sets from Observational and Limited Experimental Data. 9940-9948 - Dmitry Tsarkov, Tibor Tihon, Nathan Scales, Nikola Momchev, Danila Sinopalnikov, Nathanael Schärli:
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task. 9949-9957 - Wei-Cheng Tseng, Jin-Siang Lin, Yao-Min Feng, Min Sun:
Toward Robust Long Range Policy Transfer. 9958-9966 - Russell Tsuchida, Tim Pearce, Christopher van der Heide, Fred Roosta, Marcus Gallagher:
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks. 9967-9977 - Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng:
Deep Fusion Clustering Network. 9978-9987 - Ali Burak Ünal, Mete Akgün, Nico Pfeifer:
ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare. 9988-9996 - Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, André Barreto, Diana Borsa:
Expected Eligibility Traces. 9997-10005 - Danilo Vasconcellos Vargas, Toshitake Asabuki:
Continual General Chunking Problem and SyncMap. 10006-10014 - Joel Veness, Tor Lattimore, David Budden, Avishkar Bhoopchand, Christopher Mattern, Agnieszka Grabska-Barwinska, Eren Sezener, Jianan Wang, Peter Toth, Simon Schmitt, Marcus Hutter:
Gated Linear Networks. 10015-10023 - Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang:
GraphMix: Improved Training of GNNs for Semi-Supervised Learning. 10024-10032 - Chen Wan, Biaohua Ye, Fangjun Huang:
PID-Based Approach to Adversarial Attacks. 10033-10040 - Fang Wan, Tianning Yuan, Mengying Fu, Xiangyang Ji, Qingming Huang, Qixiang Ye:
Nearest Neighbor Classifier Embedded Network for Active Learning. 10041-10048 - Sheng Wan, Shirui Pan, Jian Yang, Chen Gong:
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning. 10049-10057 - Yuanyu Wan, Lijun Zhang:
Approximate Multiplication of Sparse Matrices with Limited Space. 10058-10066 - Yuanyu Wan, Bo Xue, Lijun Zhang:
Projection-free Online Learning in Dynamic Environments. 10067-10075 - Yuanyu Wan, Lijun Zhang:
Projection-free Online Learning over Strongly Convex Sets. 10076-10084 - Zhibin Wan, Changqing Zhang, Pengfei Zhu, Qinghua Hu:
Multi-View Information-Bottleneck Representation Learning. 10085-10092 - Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong:
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks. 10093-10101 - Daochen Wang, Xuchen You, Tongyang Li, Andrew M. Childs:
Quantum Exploration Algorithms for Multi-Armed Bandits. 10102-10110 - Deng-Bao Wang, Yong Wen, Lujia Pan, Min-Ling Zhang:
Learning from Noisy Labels with Complementary Loss Functions. 10111-10119 - Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah:
Debiasing Evaluations That Are Biased by Evaluations. 10120-10128 - Jinpeng Wang, Yuting Gao, Ke Li, Jianguo Hu, Xinyang Jiang, Xiaowei Guo, Rongrong Ji, Xing Sun:
Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion. 10129-10137 - Kaihong Wang, Chenhongyi Yang, Margrit Betke:
Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation. 10138-10146 - Lili Wang, Chongyang Gao, Chenghan Huang, Ruibo Liu, Weicheng Ma, Soroush Vosoughi:
Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path. 10147-10155 - Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao:
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. 10156-10164 - Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu:
Addressing Class Imbalance in Federated Learning. 10165-10173 - Ning Wang, Wengang Zhou, Houqiang Li:
Contrastive Transformation for Self-supervised Correspondence Learning. 10174-10182 - Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong:
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model. 10183-10191 - Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han:
Learning with Group Noise. 10192-10200 - Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian M. Molloy:
Adaptive Verifiable Training Using Pairwise Class Similarity. 10201-10209 - Siwei Wang, Haoyun Wang, Longbo Huang:
Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback. 10210-10217 - Xinglu Wang, Yingming Li:
Harmonized Dense Knowledge Distillation Training for Multi-Exit Architectures. 10218-10226 - Xudong Wang, Stella X. Yu:
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters. 10227-10235 - Yuhui Wang, Xiaoyang Tan:
Deep Recurrent Belief Propagation Network for POMDPs. 10236-10244 - Zi Wang:
Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis. 10245-10253 - Kun Wei, Cheng Deng, Xu Yang, Maosen Li:
Incremental Embedding Learning via Zero-Shot Translation. 10254-10262 - Deborah A. Weighill, Marouen Ben Guebila, Camila Miranda Lopes-Ramos, Kimberly Glass, John Quackenbush, John Platig, Rebekka Burkholz:
Gene Regulatory Network Inference as Relaxed Graph Matching. 10263-10272 - Jie Wen, Zheng Zhang, Zhao Zhang, Lei Zhu, Lunke Fei, Bob Zhang, Yong Xu:
Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring. 10273-10281
AAAI-21 Technical Tracks 12
AAAI Technical Track on Machine Learning V
- Chris Wendler, Andisheh Amrollahi, Bastian Seifert, Andreas Krause, Markus Püschel:
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases. 10283-10292 - Colin White, Willie Neiswanger, Yash Savani:
BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search. 10293-10301 - Guile Wu, Shaogang Gong:
Peer Collaborative Learning for Online Knowledge Distillation. 10302-10310 - Haiping Wu, Khimya Khetarpal, Doina Precup:
Self-Supervised Attention-Aware Reinforcement Learning. 10311-10319 - Hao Wu, Yueyi Zhang, Wenming Weng, Yongting Zhang, Zhiwei Xiong, Zheng-Jun Zha, Xiaoyan Sun, Feng Wu:
Training Spiking Neural Networks with Accumulated Spiking Flow. 10320-10328 - Huimin Wu, Zhengmian Hu, Bin Gu:
Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients. 10329-10337 - Liang Wu, Antoine Ledent, Yunwen Lei, Marius Kloft:
Fine-grained Generalization Analysis of Vector-Valued Learning. 10338-10346 - Qingyun Wu, Chi Wang, Silu Huang:
Frugal Optimization for Cost-related Hyperparameters. 10347-10354 - Ruiyuan Wu, Anna Scaglione, Hoi-To Wai, Nurullah Karakoç, Kari Hreinsson, Wing-Kin Ma:
Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models. 10355-10362 - Tongtong Wu, Xuekai Li, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu:
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction. 10363-10369 - Xinxing Wu, Qiang Cheng:
Fractal Autoencoders for Feature Selection. 10370-10378 - Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc Van Gool:
Neural Architecture Search as Sparse Supernet. 10379-10387 - Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng:
Learning to Purify Noisy Labels via Meta Soft Label Corrector. 10388-10396 - Guangyu Xi, Chao Tao, Yuan Zhou:
Near-Optimal MNL Bandits Under Risk Criteria. 10397-10404 - Wenhan Xian, Feihu Huang, Heng Huang:
Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning. 10405-10413 - Ziyu Xiang, Mingzhou Fan, Guillermo Vázquez Tovar, William Trehern, Byung-Jun Yoon, Xiaofeng Qian, Raymundo Arróyave, Xiaoning Qian:
Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science. 10414-10421 - Qiao Xiao, Yu Zhang:
Distant Transfer Learning via Deep Random Walk. 10422-10429 - Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu:
Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation. 10430-10440 - Jianwen Xie, Zilong Zheng, Ping Li:
Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler. 10441-10451 - Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. 10452-10459 - Huaqing Xiong, Tengyu Xu, Yingbin Liang, Wei Zhang:
Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling. 10460-10468 - Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao:
Variational Disentanglement for Rare Event Modeling. 10469-10477 - An Xu, Zhouyuan Huo, Heng Huang:
Step-Ahead Error Feedback for Distributed Training with Compressed Gradient. 10478-10486 - Bi-Cun Xu, Kai Ming Ting, Yuan Jiang:
Isolation Graph Kernel. 10487-10495 - Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang:
Multi-Task Recurrent Modular Networks. 10496-10504 - Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha:
Learning Graphons via Structured Gromov-Wasserstein Barycenters. 10505-10513 - Minkai Xu:
Towards Generalized Implementation of Wasserstein Distance in GANs. 10514-10522 - Qiuling Xu, Guanhong Tao, Siyuan Cheng, Xiangyu Zhang:
Towards Feature Space Adversarial Attack by Style Perturbation. 10523-10531 - Zhen Xu, David R. So, Andrew M. Dai:
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records. 10532-10540 - Zhiqin John Xu, Hanxu Zhou:
Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster. 10541-10550 - Chao Xue, Xiaoxing Wang, Junchi Yan, Yonggang Hu, Xiaokang Yang, Kewei Sun:
Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective. 10551-10559 - Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lyu, Fan Wu, Guihai Chen:
Toward Understanding the Influence of Individual Clients in Federated Learning. 10560-10567 - Yan Yan, Yuhong Guo:
Adversarial Partial Multi-Label Learning with Label Disambiguation. 10568-10576 - Zhanglu Yan, Jun Zhou, Weng-Fai Wong:
Near Lossless Transfer Learning for Spiking Neural Networks. 10577-10584 - Zhicong Yan, Gaolei Li, Yuan Tian, Jun Wu, Shenghong Li, Mingzhe Chen, H. Vincent Poor:
DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation. 10585-10593 - Jianyi Yang, Shaolei Ren:
Robust Bandit Learning with Imperfect Context. 10594-10602 - Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang:
Hierarchical Graph Capsule Network. 10603-10611 - Linjie Yang, Qing Jin:
FracBits: Mixed Precision Quantization via Fractional Bit-Widths. 10612-10620 - Long Yang, Gang Zheng, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan:
On Convergence of Gradient Expected Sarsa(λ). 10621-10629 - Long Yang, Qian Zheng, Gang Pan:
Sample Complexity of Policy Gradient Finding Second-Order Stationary Points. 10630-10638 - Qisong Yang, Thiago D. Simão, Simon H. Tindemans, Matthijs T. J. Spaan:
WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning. 10639-10646 - Zhuo Yang, Yufei Han, Xiangliang Zhang:
Characterizing the Evasion Attackability of Multi-label Classifiers. 10647-10655 - Ting Yao, Yiheng Zhang, Zhaofan Qiu, Yingwei Pan, Tao Mei:
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning. 10656-10664 - Zhewei Yao, Amir Gholami, Sheng Shen, Mustafa Mustafa, Kurt Keutzer, Michael W. Mahoney:
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning. 10665-10673 - Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus:
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. 10674-10681 - Han-Jia Ye, Xin-Chun Li, De-Chuan Zhan:
Task Cooperation for Semi-Supervised Few-Shot Learning. 10682-10690 - Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu:
Amata: An Annealing Mechanism for Adversarial Training Acceleration. 10691-10699 - Haiyan Yin, Jianda Chen, Sinno Jialin Pan, Sebastian Tschiatschek:
Sequential Generative Exploration Model for Partially Observable Reinforcement Learning. 10700-10708 - Yifang Yin, Harsh Shrivastava, Ying Zhang, Zhenguang Liu, Rajiv Ratn Shah, Roger Zimmermann:
Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning. 10709-10717 - Sangwoong Yoon, Woo-Young Kang, Sungwook Jeon, SeongEun Lee, Changjin Han, Jonghun Park, Eun-Sol Kim:
Image-to-Image Retrieval by Learning Similarity between Scene Graphs. 10718-10726 - Hongyuan You, Sikun Lin, Ambuj K. Singh:
Learning Interpretable Models for Coupled Networks Under Domain Constraints. 10727-10736 - Jiaxuan You, Jonathan Michael Gomes Selman, Rex Ying, Jure Leskovec:
Identity-aware Graph Neural Networks. 10737-10745 - Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu:
How Does Data Augmentation Affect Privacy in Machine Learning? 10746-10753 - Fei Yu, Mo Zhang, Hexin Dong, Sheng Hu, Bin Dong, Li Zhang:
DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training. 10754-10762 - Haichao Yu, Haoxiang Li, Humphrey Shi, Thomas S. Huang, Gang Hua:
Any-Precision Deep Neural Networks. 10763-10771 - Runsheng Yu, Yu Gong, Xu He, Yu Zhu, Qingwen Liu, Wenwu Ou, Bo An:
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction. 10772-10780 - Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, José C. Príncipe:
Measuring Dependence with Matrix-based Entropy Functional. 10781-10789 - Wenmeng Yu, Hua Xu, Ziqi Yuan, Jiele Wu:
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis. 10790-10797 - Jinyang Yuan, Bin Li, Xiangyang Xue:
Knowledge-Guided Object Discovery with Acquired Deep Impressions. 10798-10806 - Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan:
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning. 10807-10814 - Huimin Zeng, Chen Zhu, Tom Goldstein, Furong Huang:
Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks. 10815-10823 - Jiaqi Zeng, Pengtao Xie:
Contrastive Self-supervised Learning for Graph Classification. 10824-10832 - Ali Zeynali, Bo Sun, Mohammad Hassan Hajiesmaili, Adam Wierman:
Data-driven Competitive Algorithms for Online Knapsack and Set Cover. 10833-10841 - Chao Zhang, Zhijian Li, Zebang Shen, Jiahao Xie, Hui Qian:
A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method. 10842-10850 - Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras:
CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting. 10851-10858 - Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li:
Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework. 10859-10867 - Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang:
Efficient Folded Attention for Medical Image Reconstruction and Segmentation. 10868-10876 - Hao Zhang, Yichen Xie, Longjie Zheng, Die Zhang, Quanshi Zhang:
Interpreting Multivariate Shapley Interactions in DNNs. 10877-10886 - Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen P. Boyd:
Sample Efficient Reinforcement Learning with REINFORCE. 10887-10895 - Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang:
Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. 10896-10904 - Shangtong Zhang, Bo Liu, Shimon Whiteson:
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning. 10905-10913 - Tong Zhang, Yun Wang, Zhen Cui, Chuanwei Zhou, Baoliang Cui, Haikuan Huang, Jian Yang:
Deep Wasserstein Graph Discriminant Learning for Graph Classification. 10914-10922 - Weijia Zhang, Lin Liu, Jiuyong Li:
Treatment Effect Estimation with Disentangled Latent Factors. 10923-10930 - Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen:
Regret Bounds for Online Kernel Selection in Continuous Kernel Space. 10931-10938 - Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu:
The Sample Complexity of Teaching by Reinforcement on Q-Learning. 10939-10947 - Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang:
Partial-Label and Structure-constrained Deep Coupled Factorization Network. 10948-10955 - Yaquan Zhang, Qi Wu, Nanbo Peng, Min Dai, Jing Zhang, Hu Wang:
Memory-Gated Recurrent Networks. 10956-10963 - Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou:
Towards Enabling Learnware to Handle Unseen Jobs. 10964-10972 - Zhen-Ru Zhang, Qian-Wen Zhang, Yunbo Cao, Min-Ling Zhang:
Exploiting Unlabeled Data via Partial Label Assignment for Multi-Class Semi-Supervised Learning. 10973-10980 - Jiabao Zhao, Yifan Yang, Xin Lin, Jing Yang, Liang He:
Looking Wider for Better Adaptive Representation in Few-Shot Learning. 10981-10989 - Nanxuan Zhao, Zhirong Wu, Rynson W. H. Lau, Stephen Lin:
Distilling Localization for Self-Supervised Representation Learning. 10990-10998 - Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou:
Exploratory Machine Learning with Unknown Unknowns. 10999-11006 - Puning Zhao, Lifeng Lai:
Efficient Classification with Adaptive KNN. 11007-11014 - Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah:
Data Augmentation for Graph Neural Networks. 11015-11023 - Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum:
Augmenting Policy Learning with Routines Discovered from a Single Demonstration. 11024-11032 - Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang:
Improved Consistency Regularization for GANs. 11033-11041 - Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh:
Flow-based Generative Models for Learning Manifold to Manifold Mappings. 11042-11052 - Guoqing Zheng, Ahmed Hassan Awadallah, Susan T. Dumais:
Meta Label Correction for Noisy Label Learning. 11053-11061 - Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li:
Going Deeper With Directly-Trained Larger Spiking Neural Networks. 11062-11070 - Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Qibin Zhao, Tai-Xiang Jiang:
Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion. 11071-11078 - Zhong Li, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang:
How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches? 11079-11087 - Fan Zhou, Brahim Chaib-draa, Boyu Wang:
Multi-task Learning by Leveraging the Semantic Information. 11088-11096 - Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li:
MetaAugment: Sample-Aware Data Augmentation Policy Learning. 11097-11105 - Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang:
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting. 11106-11115 - Li Zhou, Kevin Small:
Inverse Reinforcement Learning with Natural Language Goals. 11116-11124 - Peng Zhou, Liang Du, Yi-Dong Shen, Xuejun Li:
Tri-level Robust Clustering Ensemble with Multiple Graph Learning. 11125-11133 - Quan Zhou, Jakub Marecek, Robert N. Shorten:
Fairness in Forecasting and Learning Linear Dynamical Systems. 11134-11142 - Shibo Zhou, Xiaohua Li, Ying Chen, Sanjeev Tannirkulam Chandrasekaran, Arindam Sanyal:
Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance. 11143-11151 - Xingyu Zhou, Jian Tan:
Local Differential Privacy for Bayesian Optimization. 11152-11159 - Yu-Hang Zhou, Peng Hu, Chen Liang, Huan Xu, Guangda Huzhang, Yinfu Feng, Qing Da, Xinshang Wang, Anxiang Zeng:
A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments. 11160-11167 - Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra:
Graph Neural Networks with Heterophily. 11168-11176 - Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto:
Bias and Variance of Post-processing in Differential Privacy. 11177-11184 - Rong Zhu, Mattia Rigotti:
Self-correcting Q-learning. 11185-11192 - Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi:
An Efficient Algorithm for Deep Stochastic Contextual Bandits. 11193-11201 - Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed:
Variational Fair Clustering. 11202-11209 - Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu:
Learning Task-Distribution Reward Shaping with Meta-Learning. 11210-11218
AAAI-21 Technical Tracks 13
AAAI Technical Track on Multiagent Systems
- Anton Andreychuk, Konstantin S. Yakovlev, Eli Boyarski, Roni Stern:
Improving Continuous-time Conflict Based Search. 11220-11227 - Varun Bhatt, Michael Buro:
Inference-Based Deterministic Messaging For Multi-Agent Communication. 11228-11236 - Jingkai Chen, Jiaoyang Li, Chuchu Fan, Brian C. Williams:
Scalable and Safe Multi-Agent Motion Planning with Nonlinear Dynamics and Bounded Disturbances. 11237-11245 - Taoan Huang, Sven Koenig, Bistra Dilkina:
Learning to Resolve Conflicts for Multi-Agent Path Finding with Conflict-Based Search. 11246-11253 - David Kohan Marzagão, Luciana Basualdo Bonatto, Tiago Madeira, Marcelo Matheus Gauy, Peter McBurney:
The Influence of Memory in Multi-Agent Consensus. 11254-11262 - Stefanos Leonardos, Georgios Piliouras:
Exploration-Exploitation in Multi-Agent Learning: Catastrophe Theory Meets Game Theory. 11263-11271 - Jiaoyang Li, Andrew Tinka, Scott Kiesel, Joseph W. Durham, T. K. Satish Kumar, Sven Koenig:
Lifelong Multi-Agent Path Finding in Large-Scale Warehouses. 11272-11281 - Minglong Li, Zhongxuan Cai, Wenjing Yang, Lixia Wu, Yinghui Xu, Ji Wang:
Dec-SGTS: Decentralized Sub-Goal Tree Search for Multi-Agent Coordination. 11282-11289 - William Macke, Reuth Mirsky, Peter Stone:
Expected Value of Communication for Planning in Ad Hoc Teamwork. 11290-11298 - Keisuke Okumura, Yasumasa Tamura, Xavier Défago:
Time-Independent Planning for Multiple Moving Agents. 11299-11307 - Thomy Phan, Lenz Belzner, Thomas Gabor, Andreas Sedlmeier, Fabian Ritz, Claudia Linnhoff-Popien:
Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition. 11308-11316 - Fredrik Präntare, Herman Appelgren, Fredrik Heintz:
Anytime Heuristic and Monte Carlo Methods for Large-Scale Simultaneous Coalition Structure Generation and Assignment. 11317-11324 - Giorgia Ramponi, Marcello Restelli:
Newton Optimization on Helmholtz Decomposition for Continuous Games. 11325-11333 - Daniel J. Rosenkrantz, Madhav V. Marathe, S. S. Ravi, Richard Edwin Stearns:
Synchronous Dynamical Systems on Directed Acyclic Graphs: Complexity and Algorithms. 11334-11342 - Stratis Skoulakis, Tanner Fiez, Ryann Sim, Georgios Piliouras, Lillian J. Ratliff:
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games. 11343-11351 - Jianyu Su, Stephen C. Adams, Peter A. Beling:
Value-Decomposition Multi-Agent Actor-Critics. 11352-11360 - Kentaro Takahira, Shigeo Matsubara:
Contract-based Inter-user Usage Coordination in Free-floating Car Sharing. 11361-11368 - Pankaj R. Telang, Munindar P. Singh, Neil Yorke-Smith:
Maintenance of Social Commitments in Multiagent Systems. 11369-11377 - Qi Zhang, Edmund H. Durfee, Satinder Singh:
Efficient Querying for Cooperative Probabilistic Commitments. 11378-11386 - Yang Zhang, Qingyu Yang, Dou An, Chengwei Zhang:
Coordination Between Individual Agents in Multi-Agent Reinforcement Learning. 11387-11394
AAAI Technical Track on Philosophy and Ethics of AI
- Seo-Jin Bang, Pengtao Xie, Heewook Lee, Wei Wu, Eric P. Xing:
Explaining A Black-box By Using A Deep Variational Information Bottleneck Approach. 11396-11404 - Gagan Bansal, Besmira Nushi, Ece Kamar, Eric Horvitz, Daniel S. Weld:
Is the Most Accurate AI the Best Teammate? Optimizing AI for Teamwork. 11405-11414 - Tom Bewley, Jonathan Lawry:
TripleTree: A Versatile Interpretable Representation of Black Box Agents and their Environments. 11415-11422 - Serena Booth, Yilun Zhou, Ankit Shah, Julie Shah:
Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example. 11423-11432 - Matt Chapman-Rounds, Umang Bhatt, Erik Pazos, Marc-Andre Schulz, Konstantinos Georgatzis:
FIMAP: Feature Importance by Minimal Adversarial Perturbation. 11433-11441 - Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng:
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise. 11442-11450 - Pengfei Chen, Junjie Ye, Guangyong Chen, Jingwei Zhao, Pheng-Ann Heng:
Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels. 11451-11461 - Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu:
A Unified Taylor Framework for Revisiting Attribution Methods. 11462-11469 - Louise A. Dennis, Martin Mose Bentzen, Felix Lindner, Michael Fisher:
Verifiable Machine Ethics in Changing Contexts. 11470-11478 - Sophia Epstein, Pavel Naumov:
Epistemic Logic of Know-Who. 11479-11486 - Tom Everitt, Ryan Carey, Eric D. Langlois, Pedro A. Ortega, Shane Legg:
Agent Incentives: A Causal Perspective. 11487-11495 - Golnoosh Farnadi, William St-Arnaud, Behrouz Babaki, Margarida Carvalho:
Individual Fairness in Kidney Exchange Programs. 11496-11505 - Xavier Gitiaux, Huzefa Rangwala:
Fair Representations by Compression. 11506-11515 - Laura Graves, Vineel Nagisetty, Vijay Ganesh:
Amnesiac Machine Learning. 11516-11524 - Sophie Gruenbacher, Ramin M. Hasani, Mathias Lechner, Jacek Cyranka, Scott A. Smolka, Radu Grosu:
On the Verification of Neural ODEs with Stochastic Guarantees. 11525-11535 - Akhil Gupta, Lavanya Marla, Ruoyu Sun, Naman Shukla, Arinbjörn Kolbeinsson:
PenDer: Incorporating Shape Constraints via Penalized Derivatives. 11536-11544 - Shir Gur, Ameen Ali, Lior Wolf:
Visualization of Supervised and Self-Supervised Neural Networks via Attribution Guided Factorization. 11545-11554 - Matthew Jones, Huy L. Nguyen, Thy Dinh Nguyen:
Differentially Private Clustering via Maximum Coverage. 11555-11563 - Kentaro Kanamori, Takuya Takagi, Ken Kobayashi, Yuichi Ike, Kento Uemura, Hiroki Arimura:
Ordered Counterfactual Explanation by Mixed-Integer Linear Optimization. 11564-11574 - Eoin M. Kenny, Mark T. Keane:
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning. 11575-11585 - Eric D. Langlois, Tom Everitt:
How RL Agents Behave When Their Actions Are Modified. 11586-11594 - Jianbo Li, Lecheng Zheng, Yada Zhu, Jingrui He:
Outlier Impact Characterization for Time Series Data. 11595-11603 - Woo-Jeoung Nam, Jaesik Choi, Seong-Whan Lee:
Interpreting Deep Neural Networks with Relative Sectional Propagation by Analyzing Comparative Gradients and Hostile Activations. 11604-11612 - Pavel Naumov, Rui-Jie Yew:
Ethical Dilemmas in Strategic Games. 11613-11621 - Pavel Naumov, Kevin Ros:
Comprehension and Knowledge. 11622-11629 - Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, Milind Tambe:
Fair Influence Maximization: a Welfare Optimization Approach. 11630-11638 - Sam Sattarzadeh, Mahesh Sudhakar, Anthony Lem, Shervin Mehryar, Konstantinos N. Plataniotis, Jongseong Jang, Hyunwoo Kim, Yeonjeong Jeong, Sangmin Lee, Kyunghoon Bae:
Explaining Convolutional Neural Networks through Attribution-Based Input Sampling and Block-Wise Feature Aggregation. 11639-11647 - Xu Sun, Zhiyuan Zhang, Xuancheng Ren, Ruixuan Luo, Liangyou Li:
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption. 11648-11656 - Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein:
Ethically Compliant Sequential Decision Making. 11657-11665 - Tianhao Wang, Yuheng Zhang, Ruoxi Jia:
Improving Robustness to Model Inversion Attacks via Mutual Information Regularization. 11666-11673 - Yiting Wu, Min Zhang:
Tightening Robustness Verification of Convolutional Neural Networks with Fine-Grained Linear Approximation. 11674-11681 - Ruihan Zhang, Prashan Madumal, Tim Miller, Krista A. Ehinger, Benjamin I. P. Rubinstein:
Invertible Concept-based Explanations for CNN Models with Non-negative Concept Activation Vectors. 11682-11690 - Xinyang Zhang, Ren Pang, Shouling Ji, Fenglong Ma, Ting Wang:
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks. 11691-11698 - Xiyue Zhang, Xiaoning Du, Xiaofei Xie, Lei Ma, Yang Liu, Meng Sun:
Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks. 11699-11707
AAAI Technical Track on Planning, Routing, and Scheduling
- Mohammad Abdulaziz, Dominik Berger:
Computing Plan-Length Bounds Using Lengths of Longest Paths. 11709-11717 - Mohamadreza Ahmadi, Ugo Rosolia, Michel D. Ingham, Richard M. Murray, Aaron D. Ames:
Constrained Risk-Averse Markov Decision Processes. 11718-11725 - Spyros Angelopoulos, Shahin Kamali:
Contract Scheduling With Predictions. 11726-11733 - Christel Baier, Florian Funke, Rupak Majumdar:
Responsibility Attribution in Parameterized Markovian Models. 11734-11743 - Gregor Behnke, David Speck:
Symbolic Search for Optimal Total-Order HTN Planning. 11744-11754 - Matthias Bentert, Robert Bredereck, Péter Györgyi, Andrzej Kaczmarczyk, Rolf Niedermeier:
A Multivariate Complexity Analysis of the Material Consumption Scheduling Problem. 11755-11763 - Blai Bonet, Hector Geffner:
General Policies, Representations, and Planning Width. 11764-11773 - Kianté Brantley, Soroush Mehri, Geoffrey J. Gordon:
Successor Feature Sets: Generalizing Successor Representations Across Policies. 11774-11781 - Rohan Chitnis, Tom Silver, Joshua B. Tenenbaum, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling. 11782-11791 - Murat Cubuktepe, Nils Jansen, Sebastian Junges, Ahmadreza Marandi, Marnix Suilen, Ufuk Topcu:
Robust Finite-State Controllers for Uncertain POMDPs. 11792-11800 - Guillem Francès, Blai Bonet, Hector Geffner:
Learning General Planning Policies from Small Examples Without Supervision. 11801-11808 - Daniel Gnad:
Revisiting Dominance Pruning in Decoupled Search. 11809-11817 - Klaus Heeger, Danny Hermelin, George B. Mertzios, Hendrik Molter, Rolf Niedermeier, Dvir Shabtay:
Equitable Scheduling on a Single Machine. 11818-11825 - Daniel Höller, Pascal Bercher:
Landmark Generation in HTN Planning. 11826-11834 - Rostislav Horcík, Daniel Fiser:
Endomorphisms of Classical Planning Tasks. 11835-11843 - Jinjia Huang, Mabel C. Chou, Chung-Piaw Teo:
Bike-Repositioning Using Volunteers: Crowd Sourcing with Choice Restriction. 11844-11852 - Lucas Kletzander, Nysret Musliu, Pascal Van Hentenryck:
Branch and Price for Bus Driver Scheduling with Complex Break Constraints. 11853-11861 - Leonardo Lamanna, Alfonso Emilio Gerevini, Alessandro Saetti, Luciano Serafini, Paolo Traverso:
On-line Learning of Planning Domains from Sensor Data in PAL: Scaling up to Large State Spaces. 11862-11869 - Ian Mallett, Sylvie Thiébaux, Felipe W. Trevizan:
Progression Heuristics for Planning with Probabilistic LTL Constraints. 11870-11879 - John Mern, Anil Yildiz, Zachary Sunberg, Tapan Mukerji, Mykel J. Kochenderfer:
Bayesian Optimized Monte Carlo Planning. 11880-11887 - John Mern, Anil Yildiz, Lawrence Bush, Tapan Mukerji, Mykel J. Kochenderfer:
Improved POMDP Tree Search Planning with Prioritized Action Branching. 11888-11894 - Andrea Micheli, Alessandro Valentini:
Synthesis of Search Heuristics for Temporal Planning via Reinforcement Learning. 11895-11902 - Conny Olz, Susanne Biundo, Pascal Bercher:
Revealing Hidden Preconditions and Effects of Compound HTN Planning Tasks - A Complexity Analysis. 11903-11912 - Dario Ostuni, Alice Raffaele, Romeo Rizzi, Matteo Zavatteri:
Faster and Better Simple Temporal Problems. 11913-11920 - Hangwei Qian, Sinno Jialin Pan, Chunyan Miao:
Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition. 11921-11929 - Marc Rigter, Bruno Lacerda, Nick Hawes:
Minimax Regret Optimisation for Robust Planning in Uncertain Markov Decision Processes. 11930-11938 - Luísa R. de A. Santos, Felipe Meneguzzi, Ramon Fraga Pereira, André Grahl Pereira:
An LP-Based Approach for Goal Recognition as Planning. 11939-11946 - Jendrik Seipp, Thomas Keller, Malte Helmert:
Saturated Post-hoc Optimization for Classical Planning. 11947-11953 - Shashank Shekhar, Ronen I. Brafman, Guy Shani:
Improved Knowledge Modeling and Its Use for Signaling in Multi-Agent Planning with Partial Observability. 11954-11961 - Tom Silver, Rohan Chitnis, Aidan Curtis, Joshua B. Tenenbaum, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks. 11962-11971 - David Speck, Michael Katz:
Symbolic Search for Oversubscription Planning. 11972-11980 - Alejandro Suárez-Hernández, Javier Segovia-Aguas, Carme Torras, Guillem Alenyà:
Online Action Recognition. 11981-11989 - Xing Tan, Jimmy Xiangji Huang:
A Complexity-theoretic Analysis of Green Pickup-and-Delivery Problems. 11990-11997 - Álvaro Torralba, Patrick Speicher, Robert Künnemann, Marcel Steinmetz, Jörg Hoffmann:
Faster Stackelberg Planning via Symbolic Search and Information Sharing. 11998-12006 - Álvaro Torralba:
On the Optimal Efficiency of A* with Dominance Pruning. 12007-12014 - Alvaro Velasquez, Brett Bissey, Lior Barak, Andre Beckus, Ismail Alkhouri, Daniel Melcer, George K. Atia:
Dynamic Automaton-Guided Reward Shaping for Monte Carlo Tree Search. 12015-12023 - Pulkit Verma, Shashank Rao Marpally, Siddharth Srivastava:
Asking the Right Questions: Learning Interpretable Action Models Through Query Answering. 12024-12033 - Binghan Wu, Wei Bao, Dong Yuan:
Competitive Analysis for Two-Level Ski-Rental Problem. 12034-12041 - Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang:
Multi-Decoder Attention Model with Embedding Glimpse for Solving Vehicle Routing Problems. 12042-12049
AAAI Technical Track on Reasoning under Uncertainty
- YooJung Choi, Meihua Dang, Guy Van den Broeck:
Group Fairness by Probabilistic Modeling with Latent Fair Decisions. 12051-12059 - Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin:
GO Hessian for Expectation-Based Objectives. 12060-12068 - Gianlorenzo D'Angelo, Debashmita Poddar, Cosimo Vinci:
Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback. 12069-12077 - Hongfei Du, Emre Barut, Fang Jin:
Uncertainty Quantification in CNN Through the Bootstrap of Convex Neural Networks. 12078-12085 - Julien Grand-Clément, Christian Kroer:
Scalable First-Order Methods for Robust MDPs. 12086-12094 - Huong Ha, Sunil Gupta, Santu Rana, Svetha Venkatesh:
High Dimensional Level Set Estimation with Bayesian Neural Network. 12095-12103 - Yaowei Hu, Yongkai Wu, Lu Zhang, Xintao Wu:
A Generative Adversarial Framework for Bounding Confounded Causal Effects. 12104-12112 - Yonghan Jung, Jin Tian, Elias Bareinboim:
Estimating Identifiable Causal Effects through Double Machine Learning. 12113-12122 - Ashutosh Kakadiya, Sriraam Natarajan, Balaraman Ravindran:
Relational Boosted Bandits. 12123-12130 - Yuta Kawakami:
Instrumental Variable-based Identification for Causal Effects using Covariate Information. 12131-12138 - Marvin Lasserre, Régis Lebrun, Pierre-Henri Wuillemin:
Learning Continuous High-Dimensional Models using Mutual Information and Copula Bayesian Networks. 12139-12146 - Junkyu Lee, Radu Marinescu, Rina Dechter:
Submodel Decomposition Bounds for Influence Diagrams. 12147-12157 - Radu Marinescu, Junkyu Lee, Rina Dechter:
A New Bounding Scheme for Influence Diagrams. 12158-12165 - Ajay Kumar Pandey, Prashanth L. A., Sanjay P. Bhat:
Estimation of Spectral Risk Measures. 12166-12173 - Oliver Richardson, Joseph Y. Halpern:
Probabilistic Dependency Graphs. 12174-12181 - Qiao Tang, Hong Xie, Yunni Xia, Jia Lee, Qingsheng Zhu:
Robust Contextual Bandits via Bootstrapping. 12182-12189 - Segev Wasserkrug, Radu Marinescu, Sergey Zeltyn, Evgeny Shindin, Yishai A. Feldman:
Learning the Parameters of Bayesian Networks from Uncertain Data. 12190-12197 - Marcel Wienöbst, Max Bannach, Maciej Liskiewicz:
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs. 12198-12206 - Junzhe Zhang, Elias Bareinboim:
Bounding Causal Effects on Continuous Outcome. 12207-12215
AAAI-21 Technical Tracks 14
AAAI Technical Track on Search and Optimization
- Saman Ahmadi, Guido Tack, Daniel Damir Harabor, Philip Kilby:
A Fast Exact Algorithm for the Resource Constrained Shortest Path Problem. 12217-12224 - Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik:
Generalization in Portfolio-Based Algorithm Selection. 12225-12232 - Nawal Benabbou, Cassandre Leroy, Thibaut Lust, Patrice Perny:
Combining Preference Elicitation with Local Search and Greedy Search for Matroid Optimization. 12233-12240 - Eli Boyarski, Ariel Felner, Pierre Le Bodic, Daniel Damir Harabor, Peter J. Stuckey, Sven Koenig:
f-Aware Conflict Prioritization & Improved Heuristics For Conflict-Based Search. 12241-12248 - Cornelius Brand, Martin Koutecký, Sebastian Ordyniak:
Parameterized Algorithms for MILPs with Small Treedepth. 12249-12257 - Jiejiang Chen, Shaowei Cai, Shiwei Pan, Yiyuan Wang, Qingwei Lin, Mengyu Zhao, Minghao Yin:
NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem. 12258-12266 - Zhe Chen, Daniel Damir Harabor, Jiaoyang Li, Peter J. Stuckey:
Symmetry Breaking for k-Robust Multi-Agent Path Finding. 12267-12274 - Duc-Cuong Dang, Anton V. Eremeev, Per Kristian Lehre:
Escaping Local Optima with Non-Elitist Evolutionary Algorithms. 12275-12283 - Anh Viet Do, Frank Neumann:
Pareto Optimization for Subset Selection with Dynamic Partition Matroid Constraints. 12284-12292 - Benjamin Doerr, Weijie Zheng:
Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives. 12293-12301 - Chao Feng, Chao Qian:
Multi-Objective Submodular Maximization by Regret Ratio Minimization with Theoretical Guarantee. 12302-12310 - Maximilian Fickert, Ivan Gavran, Ivan Fedotov, Jörg Hoffmann, Rupak Majumdar, Wheeler Ruml:
Choosing the Initial State for Online Replanning. 12311-12319 - Xiaotian Gao, Wei Cui, Lintao Zhang, Mao Yang:
OpEvo: An Evolutionary Method for Tensor Operator Optimization. 12320-12327 - Niels Grüttemeier, Christian Komusiewicz, Nils Morawietz:
Efficient Bayesian Network Structure Learning via Parameterized Local Search on Topological Orderings. 12328-12335 - Zhenyu Guo, Mingyu Xiao, Yi Zhou, Dongxiang Zhang, Kian-Lee Tan:
Enhancing Balanced Graph Edge Partition with Effective Local Search. 12336-12343 - Lilly Kumari, Jeff A. Bilmes:
Submodular Span, with Applications to Conditional Data Summarization. 12344-12352 - Jiaoyang Li, Wheeler Ruml, Sven Koenig:
EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding. 12353-12362 - Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin:
Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems. 12363-12372 - Felix Mohr, Viktor Bengs, Eyke Hüllermeier:
Single Player Monte-Carlo Tree Search Based on the Plackett-Luce Model. 12373-12381 - Laurent Orseau, Levi H. S. Lelis:
Policy-Guided Heuristic Search with Guarantees. 12382-12390 - Sebastian Risi, Kenneth O. Stanley:
Deep Innovation Protection: Confronting the Credit Assignment Problem in Training Heterogeneous Neural Architectures. 12391-12399 - Zhouxing Su, Qingyun Zhang, Zhipeng Lü, Chu-Min Li, Weibo Lin, Fuda Ma:
Weighting-based Variable Neighborhood Search for Optimal Camera Placement. 12400-12408 - Pavel Surynek:
Multi-Goal Multi-Agent Path Finding via Decoupled and Integrated Goal Vertex Ordering. 12409-12417 - Jake Tuero, Michael Buro:
Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions. 12418-12426 - Pashootan Vaezipoor, Gil Lederman, Yuhuai Wu, Chris J. Maddison, Roger B. Grosse, Sanjit A. Seshia, Fahiem Bacchus:
Learning Branching Heuristics for Propositional Model Counting. 12427-12435 - Guihong Wan, Haim Schweitzer:
Accelerated Combinatorial Search for Outlier Detection with Provable Bound on Sub-Optimality. 12436-12444 - Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li:
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem. 12445-12452 - Yi Zhou, Shan Hu, Mingyu Xiao, Zhang-Hua Fu:
Improving Maximum k-plex Solver via Second-Order Reduction and Graph Color Bounding. 12453-12460
AAAI Technical Track on Speech and Natural Language Processing I
- Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang:
GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction. 12462-12470 - Xi Ai, Bin Fang:
Empirical Regularization for Synthetic Sentence Pairs in Unsupervised Neural Machine Translation. 12471-12479 - Abdullah Aljebreen, Weiyi Meng, Eduard C. Dragut:
Segmentation of Tweets with URLs and its Applications to Sentiment Analysis. 12480-12488 - Reinald Kim Amplayo, Stefanos Angelidis, Mirella Lapata:
Unsupervised Opinion Summarization with Content Planning. 12489-12497 - Chenxin An, Ming Zhong, Yiran Chen, Danqing Wang, Xipeng Qiu, Xuanjing Huang:
Enhancing Scientific Papers Summarization with Citation Graph. 12498-12506 - Diego Antognini, Claudiu Musat, Boi Faltings:
Multi-Dimensional Explanation of Target Variables from Documents. 12507-12515 - Rahul Aralikatte, Mostafa Abdou, Heather C. Lent, Daniel Hershcovich, Anders Søgaard:
Joint Semantic Analysis with Document-Level Cross-Task Coherence Rewards. 12516-12525 - He Bai, Peng Shi, Jimmy Lin, Yuqing Xie, Luchen Tan, Kun Xiong, Wen Gao, Ming Li:
Segatron: Segment-Aware Transformer for Language Modeling and Understanding. 12526-12534 - Jiaqi Bai, Ze Yang, Xinnian Liang, Wei Wang, Zhoujun Li:
Learning to Copy Coherent Knowledge for Response Generation. 12535-12543 - Guangsheng Bao, Yue Zhang:
Contextualized Rewriting for Text Summarization. 12544-12553 - Kinjal Basu, Sarat Chandra Varanasi, Farhad Shakerin, Joaquín Arias, Gopal Gupta:
Knowledge-driven Natural Language Understanding of English Text and its Applications. 12554-12563 - Michele Bevilacqua, Rexhina Blloshmi, Roberto Navigli:
One SPRING to Rule Them Both: Symmetric AMR Semantic Parsing and Generation without a Complex Pipeline. 12564-12573 - Ning Bian, Xianpei Han, Bo Chen, Le Sun:
Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation. 12574-12582 - Mihaela A. Bornea, Lin Pan, Sara Rosenthal, Radu Florian, Avirup Sil:
Multilingual Transfer Learning for QA using Translation as Data Augmentation. 12583-12591 - Faeze Brahman, Vered Shwartz, Rachel Rudinger, Yejin Choi:
Learning to Rationalize for Nonmonotonic Reasoning with Distant Supervision. 12592-12601 - Lu Cao, Dandan Huang, Yue Zhang, Xiaowei Jiang, Yanan Chen:
Brain Decoding Using fNIRS. 12602-12611 - Rongyu Cao, Ping Luo:
Extracting Zero-shot Structured Information from Form-like Documents: Pretraining with Keys and Triggers. 12612-12620 - Susmoy Chakraborty, Mir Tafseer Nayeem, Wasi Uddin Ahmad:
Simple or Complex? Learning to Predict Readability of Bengali Texts. 12621-12629 - Guanhua Chen, Yun Chen, Victor O. K. Li:
Lexically Constrained Neural Machine Translation with Explicit Alignment Guidance. 12630-12638 - Huimin Chen, Yankai Lin, Fanchao Qi, Jinyi Hu, Peng Li, Jie Zhou, Maosong Sun:
Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework. 12639-12647 - Jiaao Chen, Diyi Yang:
Weakly-Supervised Hierarchical Models for Predicting Persuasive Strategies in Good-faith Textual Requests. 12648-12656 - Lihu Chen, Gaël Varoquaux, Fabian M. Suchanek:
A Lightweight Neural Model for Biomedical Entity Linking. 12657-12665 - Shaowei Chen, Yu Wang, Jie Liu, Yuelin Wang:
Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction. 12666-12674 - Tao Chen, Haochen Shi, Liyuan Liu, Siliang Tang, Jian Shao, Zhigang Chen, Yueting Zhuang:
Empower Distantly Supervised Relation Extraction with Collaborative Adversarial Training. 12675-12682 - Xiuying Chen, Zhi Cui, Jiayi Zhang, Chen Wei, Jianwei Cui, Bin Wang, Dongyan Zhao, Rui Yan:
Reasoning in Dialog: Improving Response Generation by Context Reading Comprehension. 12683-12691 - Yi-Syuan Chen, Hong-Han Shuai:
Meta-Transfer Learning for Low-Resource Abstractive Summarization. 12692-12700 - Wei Cheng, Ziyan Luo, Qiyue Yin:
Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation. 12701-12709 - Monojit Choudhury, Amit Deshpande:
How Linguistically Fair Are Multilingual Pre-Trained Language Models? 12710-12718 - Qu Cui, Shujian Huang, Jiahuan Li, Xiang Geng, Zaixiang Zheng, Guoping Huang, Jiajun Chen:
DirectQE: Direct Pretraining for Machine Translation Quality Estimation. 12719-12727 - Rumen Dangovski, Michelle Shen, Dawson Byrd, Li Jing, Desislava Tsvetkova, Preslav Nakov, Marin Soljacic:
We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale. 12728-12737 - Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li:
Consecutive Decoding for Speech-to-text Translation. 12738-12748 - Qianqian Dong, Rong Ye, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li:
Listen, Understand and Translate: Triple Supervision Decouples End-to-end Speech-to-text Translation. 12749-12759 - Yao Dou, Maxwell Forbes, Ari Holtzman, Yejin Choi:
MultiTalk: A Highly-Branching Dialog Testbed for Diverse Conversations. 12760-12767 - Jinhua Du, Yan Huang, Karo Moilanen:
Knowledge-aware Leap-LSTM: Integrating Prior Knowledge into Leap-LSTM towards Faster Long Text Classification. 12768-12775 - Yuwei Fang, Shuohang Wang, Zhe Gan, Siqi Sun, Jingjing Liu:
FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding. 12776-12784 - Hao Fei, Donghong Ji, Bobo Li, Yijiang Liu, Yafeng Ren, Fei Li:
Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer Networks. 12785-12793 - Hao Fei, Fei Li, Bobo Li, Donghong Ji:
Encoder-Decoder Based Unified Semantic Role Labeling with Label-Aware Syntax. 12794-12802 - Hao Fei, Meishan Zhang, Bobo Li, Donghong Ji:
End-to-end Semantic Role Labeling with Neural Transition-based Model. 12803-12811 - Shaoxiong Feng, Xuancheng Ren, Kan Li, Xu Sun:
Multi-View Feature Representation for Dialogue Generation with Bidirectional Distillation. 12812-12820 - Mauajama Firdaus, Hardik Chauhan, Asif Ekbal, Pushpak Bhattacharyya:
More the Merrier: Towards Multi-Emotion and Intensity Controllable Response Generation. 12821-12829 - Hao Fu, Shaojun Zhou, Qihong Yang, Junjie Tang, Guiquan Liu, Kaikui Liu, Xiaolong Li:
LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding. 12830-12838 - Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang:
Nested Named Entity Recognition with Partially-Observed TreeCRFs. 12839-12847 - Zihao Fu, Wai Lam, Anthony Man-Cho So, Bei Shi:
A Theoretical Analysis of the Repetition Problem in Text Generation. 12848-12856 - Saadia Gabriel, Chandra Bhagavatula, Vered Shwartz, Ronan Le Bras, Maxwell Forbes, Yejin Choi:
Paragraph-level Commonsense Transformers with Recurrent Memory. 12857-12865 - Leilei Gan, Kun Kuang, Yi Yang, Fei Wu:
Judgment Prediction via Injecting Legal Knowledge into Neural Networks. 12866-12874 - Lei Gao, Yulong Wang, Tongcun Liu, Jingyu Wang, Lei Zhang, Jianxin Liao:
Question-Driven Span Labeling Model for Aspect-Opinion Pair Extraction. 12875-12883 - Nicolas Garneau, Mareike Hartmann, Anders Sandholm, Sebastian Ruder, Ivan Vulic, Anders Søgaard:
Analogy Training Multilingual Encoders. 12884-12892 - Maurício Gruppi, Pin-Yu Chen, Sibel Adali:
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks. 12893-12901 - Jing Gu, Qingyang Wu, Zhou Yu:
Perception Score: A Learned Metric for Open-ended Text Generation Evaluation. 12902-12910 - Xiaodong Gu, Kang Min Yoo, Jung-Woo Ha:
DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances. 12911-12919 - Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Xiaolin Gui:
Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking. 12920-12928 - Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu:
Label Confusion Learning to Enhance Text Classification Models. 12929-12936 - Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang:
Iterative Utterance Segmentation for Neural Semantic Parsing. 12937-12945 - Ashim Gupta, Giorgi Kvernadze, Vivek Srikumar:
BERT & Family Eat Word Salad: Experiments with Text Understanding. 12946-12954 - Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng:
Sketch and Customize: A Counterfactual Story Generator. 12955-12962 - Yaru Hao, Li Dong, Furu Wei, Ke Xu:
Self-Attention Attribution: Interpreting Information Interactions Inside Transformer. 12963-12971 - Md. Kamrul Hasan, Sangwu Lee, Wasifur Rahman, Amir Zadeh, Rada Mihalcea, Louis-Philippe Morency, Ehsan Hoque:
Humor Knowledge Enriched Transformer for Understanding Multimodal Humor. 12972-12980 - Hao He, Qian Wang, Zhipeng Yu, Yang Zhao, Jiajun Zhang, Chengqing Zong:
Synchronous Interactive Decoding for Multilingual Neural Machine Translation. 12981-12988 - Xingwei He, Victor O. K. Li:
Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet. 12989-12997 - Ryota Hinami, Shonosuke Ishiwatari, Kazuhiko Yasuda, Yusuke Matsui:
Towards Fully Automated Manga Translation. 12998-13008 - Yining Hong, Qing Li, Ran Gong, Daniel Ciao, Siyuan Huang, Song-Chun Zhu:
SMART: A Situation Model for Algebra Story Problems via Attributed Grammar. 13009-13017 - Mahshid Hosseini, Cornelia Caragea:
It Takes Two to Empathize: One to Seek and One to Provide. 13018-13026 - Yutai Hou, Sanyuan Chen, Wanxiang Che, Cheng Chen, Ting Liu:
C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling. 13027-13035 - Yutai Hou, Yongkui Lai, Yushan Wu, Wanxiang Che, Ting Liu:
Few-shot Learning for Multi-label Intent Detection. 13036-13044 - Kuo Yu Huang, Hen-Hsen Huang, Hsin-Hsi Chen:
HARGAN: Heterogeneous Argument Attention Network for Persuasiveness Prediction. 13045-13054 - Mengzuo Huang, Feng Li, Wuhe Zou, Weidong Zhang:
SARG: A Novel Semi Autoregressive Generator for Multi-turn Incomplete Utterance Restoration. 13055-13063 - Qingbao Huang, Mingyi Fu, Linzhang Mo, Yi Cai, Jingyun Xu, Pijian Li, Qing Li, Ho-fung Leung:
Entity Guided Question Generation with Contextual Structure and Sequence Information Capturing. 13064-13072 - Qingbao Huang, Linzhang Mo, Pijian Li, Yi Cai, Qingguang Liu, Jielong Wei, Qing Li, Ho-fung Leung:
Story Ending Generation with Multi-Level Graph Convolutional Networks over Dependency Trees. 13073-13081 - Xiaoli Huang, Tongge Xu, Lvan Jiao, Yueran Zu, Youmin Zhang:
Adaptive Beam Search Decoding for Discrete Keyphrase Generation. 13082-13089 - Yongfeng Huang, Yujun Chen, Yulun Du, Zhilin Yang:
Distribution Matching for Rationalization. 13090-13097 - Zhiqi Huang, Fenglin Liu, Xian Wu, Shen Ge, Helin Wang, Wei Fan, Yuexian Zou:
Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-modality Attention. 13098-13106 - Patrick Huber, Giuseppe Carenini:
Unsupervised Learning of Discourse Structures using a Tree Autoencoder. 13107-13115 - Binyuan Hui, Ruiying Geng, Qiyu Ren, Binhua Li, Yongbin Li, Jian Sun, Fei Huang, Luo Si, Pengfei Zhu, Xiaodan Zhu:
Dynamic Hybrid Relation Exploration Network for Cross-Domain Context-Dependent Semantic Parsing. 13116-13124 - Qi Jia, Hongru Huang, Kenny Q. Zhu:
DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues. 13125-13133 - Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Pengfei Yin, Shi Wang:
Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences. 13134-13142 - Xin Jia, Wenjie Zhou, Xu Sun, Yunfang Wu:
EQG-RACE: Examination-Type Question Generation. 13143-13151 - Feng Jiang, Yaxin Fan, Xiaomin Chu, Peifeng Li, Qiaoming Zhu, Fang Kong:
Hierarchical Macro Discourse Parsing Based on Topic Segmentation. 13152-13160 - Hyounghun Kim, Abhay Zala, Graham Burri, Mohit Bansal:
FIXMYPOSE: Pose Correctional Captioning and Retrieval. 13161-13170 - Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak:
Self-supervised Pre-training and Contrastive Representation Learning for Multiple-choice Video QA. 13171-13179 - Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz:
The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets. 13180-13188 - Ju Hyoung Lee, Sang-Ki Ko, Yo-Sub Han:
SALNet: Semi-supervised Few-Shot Text Classification with Attention-based Lexicon Construction. 13189-13197 - Sang-Hoon Lee, Hyun-Wook Yoon, Hyeong-Rae Noh, Ji-Hoon Kim, Seong-Whan Lee:
Multi-SpectroGAN: High-Diversity and High-Fidelity Spectrogram Generation with Adversarial Style Combination for Speech Synthesis. 13198-13206
AAAI-21 Technical Tracks 15
AAAI Technical Track on Speech and Natural Language Processing II
- Wenqiang Lei, Yisong Miao, Runpeng Xie, Bonnie Webber, Meichun Liu, Tat-Seng Chua, Nancy F. Chen:
Have We Solved The Hard Problem? It's Not Easy! Contextual Lexical Contrast as a Means to Probe Neural Coherence. 13208-13216 - Bei Li, Ziyang Wang, Hui Liu, Quan Du, Tong Xiao, Chunliang Zhang, Jingbo Zhu:
Learning Light-Weight Translation Models from Deep Transformer. 13217-13225 - Bing Li, Yukai Miao, Yaoshu Wang, Yifang Sun, Wei Wang:
Improving the Efficiency and Effectiveness for BERT-based Entity Resolution. 13226-13233 - Bo Li, Wei Ye, Canming Huang, Shikun Zhang:
Multi-view Inference for Relation Extraction with Uncertain Knowledge. 13234-13242 - Da-Wei Li, Danqing Huang, Tingting Ma, Chin-Yew Lin:
Towards Topic-Aware Slide Generation For Academic Papers With Unsupervised Mutual Learning. 13243-13251 - Mingzhe Li, Xiuying Chen, Min Yang, Shen Gao, Dongyan Zhao, Rui Yan:
The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement. 13252-13260 - Pengfei Li, Peixiang Zhong, Kezhi Mao, Dongzhe Wang, Xuefeng Yang, Yunfeng Liu, Jianxiong Yin, Simon See:
ACT: an Attentive Convolutional Transformer for Efficient Text Classification. 13261-13269 - Qiuchi Li, Dimitris Gkoumas, Alessandro Sordoni, Jian-Yun Nie, Massimo Melucci:
Quantum-inspired Neural Network for Conversational Emotion Recognition. 13270-13278 - Shaobo Li, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Chengjie Sun, Zhenzhou Ji, Bingquan Liu:
HopRetriever: Retrieve Hops over Wikipedia to Answer Complex Questions. 13279-13287 - Xianming Li, Zongxi Li, Haoran Xie, Qing Li:
Merging Statistical Feature via Adaptive Gate for Improved Text Classification. 13288-13296 - Xiao Li, Yawei Sun, Gong Cheng:
TSQA: Tabular Scenario Based Question Answering. 13297-13305 - Yangming Li, Kaisheng Yao:
Interpretable NLG for Task-oriented Dialogue Systems with Heterogeneous Rendering Machines. 13306-13314 - Yanyang Li, Ye Lin, Tong Xiao, Jingbo Zhu:
An Efficient Transformer Decoder with Compressed Sub-layers. 13315-13323 - Zejun Li, Zhongyu Wei, Zhihao Fan, Haijun Shan, Xuanjing Huang:
An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-level Structural Information. 13324-13332 - Jianze Liang, Chengqi Zhao, Mingxuan Wang, Xipeng Qiu, Lei Li:
Finding Sparse Structures for Domain Specific Neural Machine Translation. 13333-13342 - Yunlong Liang, Fandong Meng, Ying Zhang, Yufeng Chen, Jinan Xu, Jie Zhou:
Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation. 13343-13352 - Dongliang Liao, Jin Xu, Gongfu Li, Yiru Wang:
Hierarchical Coherence Modeling for Document Quality Assessment. 13353-13361 - Shuai Lin, Pan Zhou, Xiaodan Liang, Jianheng Tang, Ruihui Zhao, Ziliang Chen, Liang Lin:
Graph-Evolving Meta-Learning for Low-Resource Medical Dialogue Generation. 13362-13370 - Zhe Lin, Xiaojun Wan:
Neural Sentence Simplification with Semantic Dependency Information. 13371-13379 - Han Liu, Caixia Yuan, Xiaojie Wang, Yushu Yang, Huixing Jiang, Zhongyuan Wang:
Converse, Focus and Guess - Towards Multi-Document Driven Dialogue. 13380-13387 - Hanmeng Liu, Leyang Cui, Jian Liu, Yue Zhang:
Natural Language Inference in Context - Investigating Contextual Reasoning over Long Texts. 13388-13396 - Li Liu, Mengge He, Guanghui Xu, Mingkui Tan, Qi Wu:
How to Train Your Agent to Read and Write. 13397-13405 - Longxiang Liu, Zhuosheng Zhang, Hai Zhao, Xi Zhou, Xiang Zhou:
Filling the Gap of Utterance-aware and Speaker-aware Representation for Multi-turn Dialogue. 13406-13414 - Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. 13415-13423 - Yijin Liu, Fandong Meng, Jie Zhou, Yufeng Chen, Jinan Xu:
Faster Depth-Adaptive Transformers. 13424-13432 - Yongkang Liu, Shi Feng, Daling Wang, Kaisong Song, Feiliang Ren, Yifei Zhang:
A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training. 13433-13442 - Yufang Liu, Tao Ji, Yuanbin Wu, Man Lan:
Generating CCG Categories. 13443-13451 - Zihan Liu, Yan Xu, Tiezheng Yu, Wenliang Dai, Ziwei Ji, Samuel Cahyawijaya, Andrea Madotto, Pascale Fung:
CrossNER: Evaluating Cross-Domain Named Entity Recognition. 13452-13460 - Zihan Liu, Genta Indra Winata, Samuel Cahyawijaya, Andrea Madotto, Zhaojiang Lin, Pascale Fung:
On the Importance of Word Order Information in Cross-lingual Sequence Labeling. 13461-13469 - Nicholas Lourie, Ronan Le Bras, Yejin Choi:
SCRUPLES: A Corpus of Community Ethical Judgments on 32, 000 Real-Life Anecdotes. 13470-13479 - Nicholas Lourie, Ronan Le Bras, Chandra Bhagavatula, Yejin Choi:
UNICORN on RAINBOW: A Universal Commonsense Reasoning Model on a New Multitask Benchmark. 13480-13488 - Jing Lu, Vincent Ng:
Span-Based Event Coreference Resolution. 13489-13497 - Boer Lyu, Lu Chen, Su Zhu, Kai Yu:
LET: Linguistic Knowledge Enhanced Graph Transformer for Chinese Short Text Matching. 13498-13506 - Kaixin Ma, Filip Ilievski, Jonathan Francis, Yonatan Bisk, Eric Nyberg, Alessandro Oltramari:
Knowledge-driven Data Construction for Zero-shot Evaluation in Commonsense Question Answering. 13507-13515 - Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha:
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text. 13516-13524 - Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi:
Generating Natural Language Attacks in a Hard Label Black Box Setting. 13525-13533 - Rui Mao, Xiao Li:
Bridging Towers of Multi-task Learning with a Gating Mechanism for Aspect-based Sentiment Analysis and Sequential Metaphor Identification. 13534-13542 - Yue Mao, Yi Shen, Chao Yu, Longjun Cai:
A Joint Training Dual-MRC Framework for Aspect Based Sentiment Analysis. 13543-13551 - Edison Marrese-Taylor, Machel Reid, Yutaka Matsuo:
Variational Inference for Learning Representations of Natural Language Edits. 13552-13560 - Swaroop Mishra, Anjana Arunkumar:
How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation. 13561-13569 - Natawut Monaikul, Giuseppe Castellucci, Simone Filice, Oleg Rokhlenko:
Continual Learning for Named Entity Recognition. 13570-13577 - Seung Jun Moon, Sangwoo Mo, Kimin Lee, Jaeho Lee, Jinwoo Shin:
MASKER: Masked Keyword Regularization for Reliable Text Classification. 13578-13586 - Zongshen Mu, Siliang Tang, Jie Tan, Qiang Yu, Yueting Zhuang:
Disentangled Motif-aware Graph Learning for Phrase Grounding. 13587-13594 - Binling Nie, Ruixue Ding, Pengjun Xie, Fei Huang, Chen Qian, Luo Si:
Knowledge-aware Named Entity Recognition with Alleviating Heterogeneity. 13595-13603 - Aishwarya Padmakumar, Raymond J. Mooney:
Dialog Policy Learning for Joint Clarification and Active Learning Queries. 13604-13612 - Madhura Pande, Aakriti Budhraja, Preksha Nema, Pratyush Kumar, Mitesh M. Khapra:
The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT. 13613-13621 - Sheena Panthaplackel, Miltiadis Allamanis, Marc Brockschmidt:
Copy That! Editing Sequences by Copying Spans. 13622-13630 - Pinelopi Papalampidi, Frank Keller, Mirella Lapata:
Movie Summarization via Sparse Graph Construction. 13631-13639 - Dwarak Govind Parthiban, Yongyi Mao, Diana Inkpen:
On the Softmax Bottleneck of Recurrent Language Models. 13640-13647 - Tommaso Pasini, Alessandro Raganato, Roberto Navigli:
XL-WSD: An Extra-Large and Cross-Lingual Evaluation Framework for Word Sense Disambiguation. 13648-13656 - Peyman Passban, Yimeng Wu, Mehdi Rezagholizadeh, Qun Liu:
ALP-KD: Attention-Based Layer Projection for Knowledge Distillation. 13657-13665 - Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao:
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. 13666-13674 - Alexander Podolskiy, Dmitry Lipin, Andrey Bout, Ekaterina Artemova, Irina Piontkovskaya:
Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection. 13675-13682 - Chen Qian, Fuli Feng, Lijie Wen, Tat-Seng Chua:
Conceptualized and Contextualized Gaussian Embedding. 13683-13691 - Kun Qian, Wei Wei, Zhou Yu:
A Student-Teacher Architecture for Dialog Domain Adaptation Under the Meta-Learning Setting. 13692-13700 - Bowen Qin, Min Yang, Lidong Bing, Qingshan Jiang, Chengming Li, Ruifeng Xu:
Exploring Auxiliary Reasoning Tasks for Task-oriented Dialog Systems with Meta Cooperative Learning. 13701-13708 - Libo Qin, Zhouyang Li, Wanxiang Che, Minheng Ni, Ting Liu:
Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification. 13709-13717 - Minghui Qiu, Xinjing Huang, Cen Chen, Feng Ji, Chen Qu, Wei Wei, Jun Huang, Yin Zhang:
Reinforced History Backtracking for Conversational Question Answering. 13718-13726 - Qiu Ran, Yankai Lin, Peng Li, Jie Zhou:
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information. 13727-13735 - Xuancheng Ren, Xu Sun, Houfeng Wang, Qun Liu:
Towards Semantics-Enhanced Pre-Training: Can Lexicon Definitions Help Learning Sentence Meanings? 13736-13744 - Robert Ridley, Liang He, Xin-Yu Dai, Shujian Huang, Jiajun Chen:
Automated Cross-prompt Scoring of Essay Traits. 13745-13753 - Subendhu Rongali, Beiye Liu, Liwei Cai, Konstantine Arkoudas, Chengwei Su, Wael Hamza:
Exploring Transfer Learning For End-to-End Spoken Language Understanding. 13754-13761 - Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro:
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading. 13762-13770 - Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz:
Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration. 13771-13779 - Darsh J. Shah, Lili Yu, Tao Lei, Regina Barzilay:
Nutri-bullets: Summarizing Health Studies by Composing Segments. 13780-13788 - Weizhou Shen, Junqing Chen, Xiaojun Quan, Zhixian Xie:
DialogXL: All-in-One XLNet for Multi-Party Conversation Emotion Recognition. 13789-13797 - Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin:
SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint. 13798-13805 - Peng Shi, Patrick Ng, Zhiguo Wang, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Cícero Nogueira dos Santos, Bing Xiang:
Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training. 13806-13814 - Tian Shi, Liuqing Li, Ping Wang, Chandan K. Reddy:
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection. 13815-13824 - Kai Shu, Yichuan Li, Kaize Ding, Huan Liu:
Fact-Enhanced Synthetic News Generation. 13825-13833 - Ieva Staliunaite, Philip John Gorinski, Ignacio Iacobacci:
Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation. 13834-13842 - George Stoica, Emmanouil Antonios Platanios, Barnabás Póczos:
Re-TACRED: Addressing Shortcomings of the TACRED Dataset. 13843-13850 - Kai Sun, Richong Zhang, Samuel Mensah, Yongyi Mao, Xudong Liu:
Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction. 13851-13859 - Lin Sun, Jiquan Wang, Kai Zhang, Yindu Su, Fangsheng Weng:
RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER. 13860-13868 - Yajing Sun, Yong Shan, Chengguang Tang, Yue Hu, Yinpei Dai, Jing Yu, Jian Sun, Fei Huang, Luo Si:
Unsupervised Learning of Deterministic Dialogue Structure with Edge-Enhanced Graph Auto-Encoder. 13869-13877 - Ryota Tanaka, Kyosuke Nishida, Sen Yoshida:
VisualMRC: Machine Reading Comprehension on Document Images. 13878-13888 - Hongyin Tang, Xingwu Sun, Beihong Jin, Fuzheng Zhang:
A Bidirectional Multi-paragraph Reading Model for Zero-shot Entity Linking. 13889-13897 - Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou:
Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification. 13898-13906 - Zhiliang Tian, Wei Bi, Zihan Zhang, Dongkyu Lee, Yiping Song, Nevin L. Zhang:
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks. 13907-13915 - Hai Wan, Manrong Zhang, Jianfeng Du, Ziling Huang, Yufei Yang, Jeff Z. Pan:
FL-MSRE: A Few-Shot Learning based Approach to Multimodal Social Relation Extraction. 13916-13923 - Chengyu Wang, Minghui Qiu, Jun Huang, Xiaofeng He:
KEML: A Knowledge-Enriched Meta-Learning Framework for Lexical Relation Classification. 13924-13932 - Haonan Wang, Yang Gao, Yu Bai, Mirella Lapata, Heyan Huang:
Exploring Explainable Selection to Control Abstractive Summarization. 13933-13941
AAAI-21 Technical Tracks 16
AAAI Technical Track on Speech and Natural Language Processing III
- Jixuan Wang, Kai Wei, Martin Radfar, Weiwei Zhang, Clement Chung:
Encoding Syntactic Knowledge in Transformer Encoder for Intent Detection and Slot Filling. 13943-13951 - Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Gang Chen:
Effective Slot Filling via Weakly-Supervised Dual-Model Learning. 13952-13960 - Jun Wang, Max W. Y. Lam, Dan Su, Dong Yu:
Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect. 13961-13969 - Ke Wang, Guandan Chen, Zhongqiang Huang, Xiaojun Wan, Fei Huang:
Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual Domain Adaptation. 13970-13978 - Runze Wang, Zhen-Hua Ling, Jingbo Zhou, Yu Hu:
Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing. 13979-13987 - Wei Wang, Piji Li, Hai-Tao Zheng:
Generating Diversified Comments via Reader-Aware Topic Modeling and Saliency Detection. 13988-13996 - Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He:
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks. 13997-14005 - Xiaoyang Wang, Chen Li, Jianqiao Zhao, Dong Yu:
NaturalConv: A Chinese Dialogue Dataset Towards Multi-turn Topic-driven Conversation. 14006-14014 - Yanlin Wang, Hui Li:
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs. 14015-14023 - Zhao Wang, Aron Culotta:
Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals. 14024-14031 - Sean Welleck, Kyunghyun Cho:
MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling. 14032-14040 - Taesun Whang, Dongyub Lee, Dongsuk Oh, Chanhee Lee, Kijong Han, Dong-hun Lee, Saebyeok Lee:
Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection. 14041-14049 - Junshuang Wu, Richong Zhang, Yongyi Mao, Junfan Chen:
On Scalar Embedding of Relative Positions in Attention Models. 14050-14057 - Lianwei Wu, Yuan Rao, Ling Sun, Wangbo He:
Evidence Inference Networks for Interpretable Claim Verification. 14058-14066 - Qingyang Wu, Lei Li, Zhou Yu:
TextGAIL: Generative Adversarial Imitation Learning for Text Generation. 14067-14075 - Te-Lin Wu, Shikhar Singh, Sayan Paul, Gully A. Burns, Nanyun Peng:
MELINDA: A Multimodal Dataset for Biomedical Experiment Method Classification. 14076-14084 - Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan:
A Controllable Model of Grounded Response Generation. 14085-14093 - Zhengxuan Wu, Desmond C. Ong:
Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis. 14094-14102 - Lin Xiao, Xiangliang Zhang, Liping Jing, Chi Huang, Mingyang Song:
Does Head Label Help for Long-Tailed Multi-Label Text Classification. 14103-14111 - Yubei Xiao, Ke Gong, Pan Zhou, Guolin Zheng, Xiaodan Liang, Liang Lin:
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition. 14112-14120 - Binbin Xie, Jinsong Su, Yubin Ge, Xiang Li, Jianwei Cui, Junfeng Yao, Bin Wang:
Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning. 14121-14128 - Yi Xie, Zhuohang Li, Cong Shi, Jian Liu, Yingying Chen, Bo Yuan:
Enabling Fast and Universal Audio Adversarial Attack Using Generative Model. 14129-14137 - Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh:
Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention. 14138-14148 - Benfeng Xu, Quan Wang, Yajuan Lyu, Yong Zhu, Zhendong Mao:
Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction. 14149-14157 - Ruijian Xu, Chongyang Tao, Daxin Jiang, Xueliang Zhao, Dongyan Zhao, Rui Yan:
Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues. 14158-14166 - Wang Xu, Kehai Chen, Tiejun Zhao:
Document-Level Relation Extraction with Reconstruction. 14167-14175 - Yi Xu, Hai Zhao, Zhuosheng Zhang:
Topic-Aware Multi-turn Dialogue Modeling. 14176-14184 - Yongxiu Xu, Heyan Huang, Chong Feng, Yue Hu:
A Supervised Multi-Head Self-Attention Network for Nested Named Entity Recognition. 14185-14193 - Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng:
GDPNet: Refining Latent Multi-View Graph for Relation Extraction. 14194-14202 - Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin:
Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis. 14203-14212 - Ivan P. Yamshchikov, Viacheslav Shibaev, Nikolay Khlebnikov, Alexey Tikhonov:
Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric. 14213-14220 - Feifan Yang, Xiaojun Quan, Yunyi Yang, Jianxing Yu:
Multi-Document Transformer for Personality Detection. 14221-14229 - Yunyi Yang, Yunhao Li, Xiaojun Quan:
UBAR: Towards Fully End-to-End Task-Oriented Dialog System with GPT-2. 14230-14238 - Ze Yang, Wei Wu, Huang Hu, Can Xu, Wei Wang, Zhoujun Li:
Open Domain Dialogue Generation with Latent Images. 14239-14247 - Yuan Yao, Haoxi Zhong, Zhengyan Zhang, Xu Han, Xiaozhi Wang, Kai Zhang, Chaojun Xiao, Guoyang Zeng, Zhiyuan Liu, Maosong Sun:
Adversarial Language Games for Advanced Natural Language Intelligence. 14248-14256 - Hongbin Ye, Ningyu Zhang, Shumin Deng, Mosha Chen, Chuanqi Tan, Fei Huang, Huajun Chen:
Contrastive Triple Extraction with Generative Transformer. 14257-14265 - An-Zi Yen, Hen-Hsen Huang, Hsin-Hsi Chen:
Unanswerable Question Correction in Question Answering over Personal Knowledge Base. 14266-14275 - Fei Yuan, Longtu Zhang, Bojun Huang, Yaobo Liang:
Simpson's Bias in NLP Training. 14276-14283 - Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang:
Reinforced Multi-Teacher Selection for Knowledge Distillation. 14284-14291 - Avishai Zagoury, Einat Minkov, Idan Szpektor, William W. Cohen:
What's the Best Place for an AI Conference, Vancouver or _______: Why Completing Comparative Questions is Difficult. 14292-14300 - Haolan Zhan, Hainan Zhang, Hongshen Chen, Lei Shen, Zhuoye Ding, Yongjun Bao, Weipeng Yan, Yanyan Lan:
Probing Product Description Generation via Posterior Distillation. 14301-14309 - Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao:
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation. 14310-14318 - Chen Zhang, Xu Tan, Yi Ren, Tao Qin, Kejun Zhang, Tie-Yan Liu:
UWSpeech: Speech to Speech Translation for Unwritten Languages. 14319-14327 - Die Zhang, Hao Zhang, Huilin Zhou, Xiaoyi Bao, Da Huo, Ruizhao Chen, Xu Cheng, Mengyue Wu, Quanshi Zhang:
Building Interpretable Interaction Trees for Deep NLP Models. 14328-14337 - Dong Zhang, Xincheng Ju, Wei Zhang, Junhui Li, Shoushan Li, Qiaoming Zhu, Guodong Zhou:
Multi-modal Multi-label Emotion Recognition with Heterogeneous Hierarchical Message Passing. 14338-14346 - Dong Zhang, Suzhong Wei, Shoushan Li, Hanqian Wu, Qiaoming Zhu, Guodong Zhou:
Multi-modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance. 14347-14355 - Fan Zhang, Mei Tu, Jinyao Yan:
Accelerating Neural Machine Translation with Partial Word Embedding Compression. 14356-14364 - Hanlei Zhang, Hua Xu, Ting-En Lin, Rui Lyu:
Discovering New Intents with Deep Aligned Clustering. 14365-14373 - Hanlei Zhang, Hua Xu, Ting-En Lin:
Deep Open Intent Classification with Adaptive Decision Boundary. 14374-14382 - Jiayi Zhang, Zhi Cui, Xiaoqiang Xia, Yalong Guo, Yanran Li, Chen Wei, Jianwei Cui:
Writing Polishment with Simile: Task, Dataset and A Neural Approach. 14383-14392 - Jing Zhang, Peng Zhang, Baiwen Kong, Junqiu Wei, Xin Jiang:
Continuous Self-Attention Models with Neural ODE Networks. 14393-14401 - Jing-Xuan Zhang, Korin Richmond, Zhen-Hua Ling, Lirong Dai:
TaLNet: Voice Reconstruction from Tongue and Lip Articulation with Transfer Learning from Text-to-Speech Synthesis. 14402-14410 - Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan:
Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching. 14411-14419 - Linhai Zhang, Deyu Zhou, Yulan He, Zeng Yang:
MERL: Multimodal Event Representation Learning in Heterogeneous Embedding Spaces. 14420-14427 - Shaolei Zhang, Yang Feng, Liangyou Li:
Future-Guided Incremental Transformer for Simultaneous Translation. 14428-14436 - Shuailiang Zhang, Hai Zhao, Junru Zhou, Xi Zhou, Xiang Zhou:
Semantics-Aware Inferential Network for Natural Language Understanding. 14437-14445 - Shuo Zhang, Junzhou Zhao, Pinghui Wang, Nuo Xu, Yang Yang, Yiting Liu, Yi Huang, Junlan Feng:
Learning to Check Contract Inconsistencies. 14446-14453 - Tianfu Zhang, Heyan Huang, Chong Feng, Longbing Cao:
Self-supervised Bilingual Syntactic Alignment for Neural Machine Translation. 14454-14462 - Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang:
Graph-Based Tri-Attention Network for Answer Ranking in CQA. 14463-14471 - Wei Zhang, Murray Campbell, Yang Yu, Sadhana Kumaravel:
Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Word Embeddings and the Implications to Representation Learning. 14472-14480 - Wenkai Zhang, Hongyu Lin, Xianpei Han, Le Sun, Huidan Liu, Zhicheng Wei, Nicholas Jing Yuan:
Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model. 14481-14488 - Xinyuan Zhang, Ruiyi Zhang, Manzil Zaheer, Amr Ahmed:
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes. 14489-14497 - Zhengkun Zhang, Jun Wang, Adam Jatowt, Zhe Sun, Shao-Ping Lu, Zhenglu Yang:
News Content Completion with Location-Aware Image Selection. 14498-14505 - Zhuosheng Zhang, Junjie Yang, Hai Zhao:
Retrospective Reader for Machine Reading Comprehension. 14506-14514 - Shan Zhao, Minghao Hu, Zhiping Cai, Haiwen Chen, Fang Liu:
Dynamic Modeling Cross- and Self-Lattice Attention Network for Chinese NER. 14515-14523 - Tianyang Zhao, Zhao Yan, Yunbo Cao, Zhoujun Li:
A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations. 14524-14531 - Xinyan Zhao, V. G. Vinod Vydiswaran:
LIREx: Augmenting Language Inference with Relevant Explanations. 14532-14539 - Yangyang Zhao, Zhenyu Wang, Zhenhua Huang:
Automatic Curriculum Learning With Over-repetition Penalty for Dialogue Policy Learning. 14540-14548 - Chengyu Zheng, Xiulian Peng, Yuan Zhang, Sriram Srinivasan, Yan Lu:
Interactive Speech and Noise Modeling for Speech Enhancement. 14549-14557 - Yinhe Zheng, Zikai Chen, Rongsheng Zhang, Shilei Huang, Xiaoxi Mao, Minlie Huang:
Stylized Dialogue Response Generation Using Stylized Unpaired Texts. 14558-14567 - Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao:
Keyword-Guided Neural Conversational Model. 14568-14576 - Peixiang Zhong, Di Wang, Pengfei Li, Chen Zhang, Hao Wang, Chunyan Miao:
CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts. 14577-14585 - Baohang Zhou, Xiangrui Cai, Ying Zhang, Wenya Guo, Xiaojie Yuan:
MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization. 14586-14593 - Deyu Zhou, Meng Zhang, Linhai Zhang, Yulan He:
A Neural Group-wise Sentiment Analysis Model with Data Sparsity Awareness. 14594-14601 - Qi Zhou, Haipeng Chen, Yitao Zheng, Zhen Wang:
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation. 14602-14611 - Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang:
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling. 14612-14620 - Wenxuan Zhou, Bill Yuchen Lin, Xiang Ren:
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization. 14621-14629 - Yan Zhou, Fuqing Zhu, Pu Song, Jizhong Han, Tao Guo, Songlin Hu:
An Adaptive Hybrid Framework for Cross-domain Aspect-based Sentiment Analysis. 14630-14637 - Yang Zhou, Yubo Chen, Jun Zhao, Yin Wu, Jiexin Xu, Jinlong Li:
What the Role is vs. What Plays the Role: Semi-Supervised Event Argument Extraction via Dual Question Answering. 14638-14646 - Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference. 14647-14655 - Yutao Zhu, Kun Zhou, Jian-Yun Nie, Shengchao Liu, Zhicheng Dou:
Neural Sentence Ordering Based on Constraint Graphs. 14656-14664 - Yicheng Zou, Lujun Zhao, Yangyang Kang, Jun Lin, Minlong Peng, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu:
Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling. 14665-14673 - Yicheng Zou, Jun Lin, Lujun Zhao, Yangyang Kang, Zhuoren Jiang, Changlong Sun, Qi Zhang, Xuanjing Huang, Xiaozhong Liu:
Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders. 14674-14682
IAAI-21, EAAI-21, AAAI-21 Special Programs and Special Track
AAAI Special Track on AI for Social Impact
- Ruben Becker, Gianlorenzo D'Angelo, Sajjad Ghobadi, Hugo Gilbert:
Fairness in Influence Maximization through Randomization. 14684-14692 - Daniel Ben Zaken, Kobi Gal, Guy Shani, Avi Segal, Darlene Cavalier:
Intelligent Recommendations for Citizen Science. 14693-14701 - Johan Bjorck, Qinru Shi, Carrie Brown-Lima, Jennifer Dean, Angela Fuller, Carla P. Gomes:
Learning Augmented Methods for Matching: Improving Invasive Species Management and Urban Mobility. 14702-14710 - Johan Bjorck, Brendan H. Rappazzo, Qinru Shi, Carrie Brown-Lima, Jennifer Dean, Angela Fuller, Carla P. Gomes:
Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing. 14711-14720 - Boyo Chen, Buo-Fu Chen, Yun-Nung Chen:
Real-time Tropical Cyclone Intensity Estimation by Handling Temporally Heterogeneous Satellite Data. 14721-14728 - Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer A. Hobbs:
Detection and Prediction of Nutrient Deficiency Stress using Longitudinal Aerial Imagery. 14729-14738 - Prathamesh Dharangutte, Christopher Musco:
Graph Learning for Inverse Landscape Genetics. 14739-14747 - Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang, Amulya Yadav:
Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use. 14748-14756 - Moussa Doumbouya, Lisa Einstein, Chris Piech:
Using Radio Archives for Low-Resource Speech Recognition: Towards an Intelligent Virtual Assistant for Illiterate Users. 14757-14765 - Zhengcong Fei:
Retrieve and Revise: Improving Peptide Identification with Similar Mass Spectra. 14766-14774 - Jonathan Ferrer-Mestres, Thomas G. Dietterich, Olivier Buffet, Iadine Chades:
K-N-MOMDPs: Towards Interpretable Solutions for Adaptive Management. 14775-14784 - Eugene Yujun Fu, Wai Cheong Tam, Jun Wang, Richard Peacock, Paul A. Reneke, Grace Ngai, Hong Va Leong, Thomas Cleary:
Predicting Flashover Occurrence using Surrogate Temperature Data. 14785-14794 - Michael Geden, Joshua Andrews:
Fair and Interpretable Algorithmic Hiring using Evolutionary Many Objective Optimization. 14795-14803 - Hongyu Gong, Alberto Valido, Katherine M. Ingram, Giulia Fanti, Suma Bhat, Dorothy L. Espelage:
Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention. 14804-14812 - Yen-Chia Hsu, Ting-Hao K. Huang, Ting-Yao Hu, Paul Dille, Sean Prendi, Ryan Hoffman, Anastasia Tsuhlares, Jessica Pachuta, Randy Sargent, Illah R. Nourbakhsh:
Project RISE: Recognizing Industrial Smoke Emissions. 14813-14821 - Barak Itkin, Lior Wolf, Nachum Dershowitz:
Computational Visual Ceramicology: Matching Image Outlines to Catalog Sketches. 14822-14830 - Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey:
Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone. 14831-14839 - Quanzhi Li, Qiong Zhang:
Court Opinion Generation from Case Fact Description with Legal Basis. 14840-14848 - Kang Liu, Benjamin Tan, Siddharth Garg:
Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images. 14849-14856 - Ruibo Liu, Chenyan Jia, Jason Wei, Guangxuan Xu, Lili Wang, Soroush Vosoughi:
Mitigating Political Bias in Language Models through Reinforced Calibration. 14857-14866 - Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, Animesh Mukherjee:
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection. 14867-14875 - Lucien K. L. Ng, Sherman S. M. Chow, Anna P. Y. Woo, Donald P. H. Wong, Yongjun Zhao:
Goten: GPU-Outsourcing Trusted Execution of Neural Network Training. 14876-14883 - Luz Valerie Pascal, Marianne Akian, Samuel Nicol, Iadine Chades:
A Universal 2-state n-action Adaptive Management Solver. 14884-14892 - Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell:
We Don't Speak the Same Language: Interpreting Polarization through Machine Translation. 14893-14901 - Christian Schröder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski:
RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery. 14902-14910 - Atriya Sen, Beckett W. Sterner, Nico M. Franz, Caleb Powel, Nathan Upham:
Combining Machine Learning & Reasoning for Biodiversity Data Intelligence. 14911-14919 - Erzhuo Shao, Shiyuan Guo, Zachary A. Pardos:
Degree Planning with PLAN-BERT: Multi-Semester Recommendation Using Future Courses of Interest. 14920-14929 - Amutheezan Sivagnanam, Afiya Ayman, Michael Wilbur, Philip Pugliese, Abhishek Dubey, Aron Laszka:
Minimizing Energy Use of Mixed-Fleet Public Transit for Fixed-Route Service. 14930-14938 - Kaisong Song, Yangyang Kang, Wei Gao, Zhe Gao, Changlong Sun, Xiaozhong Liu:
Evidence Aware Neural Pornographic Text Identification for Child Protection. 14939-14947 - Bryan Wilder, Laura Onasch-Vera, Graham T. DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe:
Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness. 14948-14956 - Dongbo Xi, Bowen Song, Fuzhen Zhuang, Yongchun Zhu, Shuai Chen, Tianyi Zhang, Yuan Qi, Qing He:
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection. 14957-14965 - Fengyang Xu, Guanbin Li, Yunfei Du, Zhiguang Chen, Yutong Lu:
Multi-Layer Networks for Ensemble Precipitation Forecasts Postprocessing. 14966-14973 - Lily Xu, Elizabeth Bondi, Fei Fang, Andrew Perrault, Kai Wang, Milind Tambe:
Dual-Mandate Patrols: Multi-Armed Bandits for Green Security. 14974-14982 - Suwei Yang, Massimo Lupascu, Kuldeep S. Meel:
Predicting Forest Fire Using Remote Sensing Data And Machine Learning. 14983-14990 - Yiyuan Yang, Yi Li, Taojia Zhang, Yan Zhou, Haifeng Zhang:
Early Safety Warnings for Long-Distance Pipelines: A Distributed Optical Fiber Sensor Machine Learning Approach. 14991-14999 - Li Yu, Zhengwei Wu, Tianchi Cai, Ziqi Liu, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu:
Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing. 15000-15007 - Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng:
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. 15008-15015 - Wenting Zhao, Shufeng Kong, Junwen Bai, Daniel Fink, Carla P. Gomes:
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders. 15016-15024 - Fan Zhou, Liang Li:
Forecasting Reservoir Inflow via Recurrent Neural ODEs. 15025-15032 - Fan Zhou, Rongfan Li, Goce Trajcevski, Kunpeng Zhang:
Land Deformation Prediction via Slope-Aware Graph Neural Networks. 15033-15040
Senior Member Presentation: Blue Sky Papers
- Grady Booch, Francesco Fabiano, Lior Horesh, Kiran Kate, Jonathan Lenchner, Nick Linck, Andrea Loreggia, Keerthiram Murugesan, Nicholas Mattei, Francesca Rossi, Biplav Srivastava:
Thinking Fast and Slow in AI. 15042-15046 - Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Lawrence Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer:
Towards a Unifying Framework for Formal Theories of Novelty. 15047-15052 - David D. Jensen:
Improving Causal Inference by Increasing Model Expressiveness. 15053-15057 - Bing Liu, Sahisnu Mazumder:
Lifelong and Continual Learning Dialogue Systems: Learning during Conversation. 15058-15063 - Siddharth Srivastava:
Unifying Principles and Metrics for Safe and Assistive AI. 15064-15068
Senior Member Presentation: Summary Papers
- Jörg Rothe:
Thou Shalt Love Thy Neighbor as Thyself When Thou Playest: Altruism in Game Theory. 15070-15077 - Rui Yan, Wei Wu:
Empowering Conversational AI is a Trip to Mars: Progress and Future of Open Domain Human-Computer Dialogues. 15078-15086
IAAI Technical Track on Highly Innovative Applications of AI
- Fatih Altay, Guillermo Ramón Sánchez, Yanli James, Stephen V. Faraone, Senem Velipasalar, Asif Salekin:
Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans. 15088-15097 - Xiang Cheng, Mitchell Bowden, Bhushan Ramesh Bhange, Priyanka Goyal, Thomas Packer, Faizan Javed:
An End-to-End Solution for Named Entity Recognition in eCommerce Search. 15098-15106 - Sebastijan Dumancic, Wannes Meert, Stijn Goethals, Tim Stuyckens, Jelle Huygen, Koen Denies:
Automated Reasoning and Learning for Automated Payroll Management. 15107-15116 - Tong Geng, Xiliang Lin, Harikesh S. Nair, Jun Hao, Bin Xiang, Shurui Fan:
Comparison Lift: Bandit-based Experimentation System for Online Advertising. 15117-15126 - Rohun Kshirsagar, Li-Yen Hsu, Charles H. Greenberg, Matthew McClelland, Anushadevi Mohan, Wideet Shende, Nicolas P. Tilmans, Min Guo, Ankit Chheda, Meredith Trotter, Shonket Ray, Miguel Alvarado:
Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans. 15127-15136 - Nikolaos Livathinos, Cesar Berrospi, Maksym Lysak, Viktor Kuropiatnyk, Ahmed S. Nassar, André Carvalho, Michele Dolfi, Christoph Auer, Kasper Dinkla, Peter W. J. Staar:
Robust PDF Document Conversion using Recurrent Neural Networks. 15137-15145 - Krutarth Patel, Cornelia Caragea, Doina Caragea, C. Lee Giles:
Author Homepage Discovery in CiteSeerX. 15146-15155 - Brendan H. Rappazzo, Morgan E. Eisenlord, Olivia J. Graham, Lillian R. Aoki, Phoebe D. Dawkins, Drew Harvell, Carla P. Gomes:
EeLISA: Combating Global Warming Through the Rapid Analysis of Eelgrass Wasting Disease. 15156-15165 - Anush Sankaran, Olivier Mastropietro, Ehsan Saboori, Yasser Idris, Davis Sawyer, MohammadHossein AskariHemmat, Ghouthi Boukli Hacene:
Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization. 15166-15174 - Eran Shaham, Adam Westerski, Rajaraman Kanagasabai, Amudha Narayanan, Samuel Ong, Jiayu Wong, Manjeet Singh:
Using Unsupervised Learning for Data-driven Procurement Demand Aggregation. 15175-15184 - Tarun Tater, Sampath Dechu, Neelamadhav Gantayat, Meena Guptha, Sivakumar Narayanan:
Tool for Automated Tax Coding of Invoices. 15185-15194 - Dries Van Daele, Nicholas Decleyre, Herman Dubois, Wannes Meert:
An Automated Engineering Assistant: Learning Parsers for Technical Drawings. 15195-15203 - Kiri Wagstaff, Steven Lu, Emily Dunkel, Kevin Grimes, Brandon Zhao, Jesse Cai, Shoshanna B. Cole, Gary Doran, Raymond Francis, Jake H. Lee, Lukas Mandrake:
Mars Image Content Classification: Three Years of NASA Deployment and Recent Advances. 15204-15213 - Anxiang Zeng, Han Yu, Hua-Lin He, Yabo Ni, Yongliang Li, Jingren Zhou, Chunyan Miao:
Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank. 15214-15222
IAAI Technical Track on Emerging Applications of AI
- Muhammed AbuOdeh, Christian Adkins, Omid Setayeshfar, Prashant Doshi, Kyu Hyung Lee:
A Novel AI-based Methodology for Identifying Cyber Attacks in Honey Pots. 15224-15231 - Bijaya Adhikari, Liangyue Li, Nikhil Rao, Karthik Subbian:
Finding Needles in Heterogeneous Haystacks. 15232-15239 - Mak Ahmad, J. Scott Penberthy, Abigail Powell:
Path to Automating Ocean Health Monitoring. 15240-15246 - Shqiponja Ahmetaj, Vasilis Efthymiou, Ronald Fagin, Phokion G. Kolaitis, Chuan Lei, Fatma Özcan, Lucian Popa:
Ontology-Enriched Query Answering on Relational Databases. 15247-15254 - Rajdeep H. Banerjee, Abhinav Ravi, Ujjal Kr Dutta:
Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes. 15255-15261 - Brian Bush, Yuzhou Chen, Dorcas Ofori-Boateng, Yulia R. Gel:
Topological Machine Learning Methods for Power System Responses to Contingencies. 15262-15269 - Weizhe Chen, Weinan Zhang, Duo Liu, Weiping Li, Xiaojun Shi, Fei Fang:
Data-Driven Multimodal Patrol Planning for Anti-poaching. 15270-15277 - Yuzhou Chen, Yuliya Marchetti, Yulia R. Gel:
Deepening the Sense of Touch in Planetary Exploration with Geometric and Topological Deep Learning. 15278-15285 - Taeyeong Choi, Benjamin Pyenson, Juergen Liebig, Theodore P. Pavlic:
Identification of Abnormal States in Videos of Ants Undergoing Social Phase Change. 15286-15292 - Varad Deshmukh, Thomas Berger, James D. Meiss, Elizabeth Bradley:
Shape-based Feature Engineering for Solar Flare Prediction. 15293-15300 - Wanying Ding, Vinay K. Chaudhri, Naren Chittar, Krishna Konakanchi:
JEL: Applying End-to-End Neural Entity Linking in JPMorgan Chase. 15301-15308 - Shahrzad Gholami, Narendran Kodandapani, Jane Wang, Juan Lavista Ferres:
Where there's Smoke, there's Fire: Wildfire Risk Predictive Modeling via Historical Climate Data. 15309-15315 - Charles A. Kantor, Léonard Boussioux, Brice Rauby, Hugues Talbot:
Over-MAP: Structural Attention Mechanism and Automated Semantic Segmentation Ensembled for Uncertainty Prediction. 15316-15322 - Ahmad Maroof Karimi, Yinghui Wu, Mehmet Koyutürk, Roger H. French:
Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems. 15323-15330 - Chandan Kumar, Jayanth Ramesh, Bodhisattwa Chakraborty, Renjith Raman, Christoph Weinrich, Anurag Mundhada, Arjun Jain, Fabian B. Flohr:
VRU Pose-SSD: Multiperson Pose Estimation For Automated Driving. 15331-15338 - Emil Laftchiev, Diego Romeres, Daniel Nikovski:
Personalizing Individual Comfort in the Group Setting. 15339-15346 - Quanzhi Li, Qiong Zhang:
Twitter Event Summarization by Exploiting Semantic Terms and Graph Network. 15347-15354 - Yang Liu, Zhengxing Chen, Kittipat Virochsiri, Juan Wang, Jiahao Wu, Feng Liang:
Reinforcement Learning-based Product Delivery Frequency Control. 15355-15361 - Clifton James McFate, Aditya Kalyanpur, David A. Ferrucci, Andrea Bradshaw, Ariel Diertani, David Melville, Lori Moon:
SKATE: A Natural Language Interface for Encoding Structured Knowledge. 15362-15369 - Rodolfo Palma, Luis Martí, Nayat Sánchez-Pi:
Predicting Mining Industry Accidents with a Multitask Learning Approach. 15370-15376 - Sunandita Patra, Alexander Velazquez, Myong H. Kang, Dana S. Nau:
Using Online Planning and Acting to Recover from Cyberattacks on Software-defined Networks. 15377-15384 - R. Ramanathan, Nicolas K. Shinada, Michinobu Shimatani, Yuhei Yamaguchi, Junichi Tanaka, Yuta Iizuka, Sucheendra K. Palaniappan:
A Reciprocal Embedding Framework For Modelling Mutual Preferences. 15385-15392 - Alexander Rodríguez, Anika Tabassum, Jiaming Cui, Jiajia Xie, Javen Ho, Pulak Agarwal, Bijaya Adhikari, B. Aditya Prakash:
DeepCOVID: An Operational Deep Learning-driven Framework for Explainable Real-time COVID-19 Forecasting. 15393-15400 - Suranjana Samanta, Ajay Gupta, Prateeti Mohapatra, Amar Prakash Azad:
Carbon to Diamond: An Incident Remediation Assistant System From Site Reliability Engineers' Conversations in Hybrid Cloud Operations. 15401-15407 - Jonas Sonntag, Michael Engel, Lars Schmidt-Thieme:
Predicting Parking Availability from Mobile Payment Transactions with Positive Unlabeled Learning. 15408-15415 - Neelanshi Wadhwa, Sarath S, Sapan Shah, Sreedhar Reddy, Pritwish Mitra, Deepak Jain, Beena Rai:
Device Fabrication Knowledge Extraction from Materials Science Literature. 15416-15423 - Dongdong Wang, Shunpu Zhang, Liqiang Wang:
Deep Epidemiological Modeling by Black-box Knowledge Distillation: An Accurate Deep Learning Model for COVID-19. 15424-15430
IAAI Technical Track on Innovative Tools for Enabling AI Application
- Yifan Ding, Nicholas Botzer, Tim Weninger:
HetSeq: Distributed GPU Training on Heterogeneous Infrastructure. 15432-15438 - Doruk Kilitçioglu, Serdar Kadioglu:
Representing the Unification of Text Featurization using a Context-Free Grammar. 15439-15445
IAAI Technical Track on AI Best Practices, Challenge Problems, Training AI Users
- Ryan Beal, Stuart E. Middleton, Timothy J. Norman, Sarvapali D. Ramchurn:
Combining Machine Learning and Human Experts to Predict Match Outcomes in Football: A Baseline Model. 15447-15451 - Mayank Kejriwal, Ravi Kiran Selvam, Chien-Chun Ni, Nicolas Torzec:
Empirical Best Practices On Using Product-Specific Schema.org. 15452-15457 - Sean McGregor:
Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. 15458-15463
EAAI Symposium: Full Papers
- Aqib Ahmed, Joshua Leppo, Michal Lesniewski, Riken Patel, Jonathan Pérez, Jeremy Blum:
A Heuristic Evaluation Function for Hand Strength Estimation in Gin Rummy. 15465-15471 - Safinah Arshad Ali, Daniella DiPaola, Cynthia Breazeal:
What are GANs?: Introducing Generative Adversarial Networks to Middle School Students. 15472-15479 - Cecilia O. Alm, Alex Hedges:
Visualizing NLP in Undergraduate Students' Learning about Natural Language. 15480-15488 - Matthew Eicholtz, Savanna Moss, Matthew Traino, Christian Roberson:
Heisenbot: A Rule-Based Game Agent for Gin Rummy. 15489-15495 - Peter E. Francis, Hoang A. Just, Todd W. Neller:
Opponent Hand Estimation in the Game of Gin Rummy. 15496-15502 - Jacob Gallucci, Richard Bowser, Sarah Kettell, Christian Overton:
Estimating Card Fitness for Discard in Gin Rummy. 15503-15509 - Phoebe Goldman, Corey R. Knutson, Ryan Mahtab, Jack Maloney, Joseph B. Mueller, Richard G. Freedman:
Evaluating Gin Rummy Hands Using Opponent Modeling and Myopic Meld Distance. 15510-15517 - Benjamin Goldstein, Jean-Pierre Astudillo Guerra, Emily Haigh, Bryan Cruz Ulloa, Jeremy Blum:
Extracting Learned Discard and Knocking Strategies from a Gin Rummy Bot. 15518-15525 - Eric Greenwald, Maxyn Leitner, Ning Wang:
Learning Artificial Intelligence: Insights into How Youth Encounter and Build Understanding of AI Concepts. 15526-15533 - Matt Grenander, Robert Belfer, Ekaterina Kochmar, Iulian Vlad Serban, François St-Hilaire, Jackie Chi Kit Cheung:
Deep Discourse Analysis for Generating Personalized Feedback in Intelligent Tutor Systems. 15534-15544 - Anthony Hein, May Jiang, Vydhourie Thiyageswaran, Michael Guerzhoy:
Random Forests for Opponent Hand Estimation in Gin Rummy. 15545-15550 - Brian Jordan, Nisha Devasia, Jenna Hong, Randi Williams, Cynthia Breazeal:
PoseBlocks: A Toolkit for Creating (and Dancing) with AI. 15551-15559 - Seonghun Kim, Woojin Kim, Yeonju Jang, Seongyune Choi, HeeSeok Jung, Hyeoncheol Kim:
Student Knowledge Prediction for Teacher-Student Interaction. 15560-15568 - Seonghun Kim, Yeonju Jang, Woojin Kim, Seongyune Choi, HeeSeok Jung, Soo-Hwan Kim, Hyeoncheol Kim:
Why and What to Teach: AI Curriculum for Elementary School. 15569-15576 - Sarah Larkin, William Collicott, Jason Hiebel:
Modeling Expert Knowledge in a Heuristic-Based Gin Rummy Agent. 15577-15582 - Irene Lee, Safinah Arshad Ali:
The Contour to Classification Game. 15583-15590 - Seung Y. Lee, Bradford W. Mott, Anne T. Ottenbreit-Leftwich, J. Adam Scribner, Sandra Taylor, Kyungjin Park, Jonathan P. Rowe, Krista D. Glazewski, Cindy E. Hmelo-Silver, James C. Lester:
AI-Infused Collaborative Inquiry in Upper Elementary School: A Game-Based Learning Approach. 15591-15599 - Ryzeson C. Maravich, Taylor C. Neller, Todd W. Neller:
Knocking in the Game of Gin Rummy. 15600-15606 - Bhaskar Mishra, Ashish Aggarwal:
Opponent Hand Estimation in Gin Rummy Using Deep Neural Networks and Heuristic Strategies. 15607-15613 - Masayuki Nagai, Kavya Shrivastava, Kien Ta, Steven Bogaerts, Chad Byers:
A Highly-Parameterized Ensemble to Play Gin Rummy. 15614-15621 - Viet Dung Nguyen, Dung Doan, Todd W. Neller:
A Deterministic Neural Network Approach to Playing Gin Rummy. 15622-15629 - Viktoriya Olari, Kostadin Cvejoski, Øyvind Eide:
Introduction to Machine Learning with Robots and Playful Learning. 15630-15639 - Felipe Leno da Silva, Silvio Stanzani, Jefferson Fialho, Jorge Mondadori, Muriel Mazzetto, Felipe Sanches Couto, Raphael Cóbe:
Designing a Hybrid AI Residency. 15640-15646 - Sang T. Truong, Todd W. Neller:
A Data-Driven Approach for Gin Rummy Hand Evaluation. 15647-15654 - Jessica Van Brummelen, Tommy Heng, Viktoriya Tabunshchyk:
Teaching Tech to Talk: K-12 Conversational Artificial Intelligence Literacy Curriculum and Development Tools. 15655-15663 - Patrick Virtue:
GANs Unplugged. 15664-15668 - Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon Peyton Jones, Richard G. Baraniuk, Cheng Zhang:
Educational Question Mining At Scale: Prediction, Analysis and Personalization. 15669-15677 - Randi Williams, Stephen P. Kaputsos, Cynthia Breazeal:
Teacher Perspectives on How To Train Your Robot: A Middle School AI and Ethics Curriculum. 15678-15686 - Chao Wu, Yan Li, Junxiang Li, Qiongdan Zhang, Fei Wu:
Web-based Platform for K-12 AI Education in China. 15687-15694 - Yilei Zeng, Aayush Shah, Jameson Thai, Michael Zyda:
Applied Machine Learning for Games: A Graduate School Course. 15695-15703
EAAI Symposium: Model AI Assignment Abstracts
- Todd W. Neller, Nathan Sprague, John Maraist, Lisa Zhang, Pouria Fewzee, Duri Long, Jonathan Moon, Brian Magerko, Alex Leto, Toni Lefton, Tom Williams:
Model AI Assignments 2021. 15705-15706
AAAI-21 Student Papers and Demonstrations
The Twenty-Sixth AAAI/SIGAI Doctoral Consortium
- Tejaswini Ananthanarayana:
A Computational Approach to Sign Language Understanding. 15708-15709 - Hussain A. Chowdhury:
Effective Clustering of scRNA-seq Data to Identify Biomarkers without User Input. 15710-15711 - Alireza Ghods:
Creating Interpretable Data-Driven Approaches for Remote Health Monitoring. 15712-15713 - Dario Guidotti:
Verification and Repair of Neural Networks. 15714-15715 - Masha Itkina:
Perception Beyond Sensors Under Uncertainty. 15716-15717 - Leonardo Lamanna:
Artificial Intelligence and Machine Learning for Autonomous Agents that Learn to Plan and Operate in Unpredictable Dynamic Environments. 15718-15719 - Puspita Majumdar, Richa Singh, Mayank Vatsa:
On Learning Deep Models with Imbalanced Data Distribution. 15720-15721 - Paulo Mann, Aline Paes, Elton H. Matsushima:
Screening for Depressed Individuals by Using Multimodal Social Media Data. 15722-15723 - Mehrnoosh Mirtaheri:
Relational Learning to Capture the Dynamics and Sparsity of Knowledge Graphs. 15724-15725 - Rolf Morel:
Constraint-Driven Learning of Logic Programs. 15726-15727 - Nazerke Rakhymbayeva, Anara Sandygulova:
Transfer Learning of Engagement Recognition within Robot-Assisted Therapy for Children with Autism. 15728-15729 - Preeti Ramaraj:
Robots that Help Humans Build Better Mental Models of Robots. 15730-15731 - Zheyuan Ryan Shi:
AI for Social Good: Between My Research and the Real World. 15732-15733 - Chelsea Sidrane:
Safety Assurance for Systems with Machine Learning Components. 15734-15735 - Ivan Stelmakh:
Towards Fair, Equitable, and Efficient Peer Review. 15736-15737 - Kshitija Taywade:
Multi-agent Reinforcement Learning for Decentralized Coalition Formation Games. 15738-15739 - Sagir Muhammad Yusuf, Chris Baber:
Distributed Situation Awareness for Multi-agent Mission in Dynamic Environments: A Case Study of Multi-UAVs Wildfires Searching. 15740-15741 - Yilei Zeng:
How Human Centered AI Will Contribute Towards Intelligent Gaming Systems. 15742-15743
AAAI Student Abstract and Poster Program
- Akshay Agarwal, Mayank Vatsa, Richa Singh:
Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract). 15745-15746 - Anshul Ahuja, Geetesh Gupta, Suman Kundu:
A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract). 15747-15748 - Ashlesha Akella, Sai Kalyan Ranga Singanamalla, Chin-Teng Lin:
Reward based Hebbian Learning in Direct Feedback Alignment (Student Abstract). 15749-15750 - Joseph Allen, Xudong Liu, Karthikeyan Umapathy, Sandeep Reddivari:
Clustering Partial Lexicographic Preference Trees (Student Abstract). 15751-15752 - Dhananjay Ashok, Joseph Scott, Sebastian Johann Wetzel, Maysum Panju, Vijay Ganesh:
Logic Guided Genetic Algorithms (Student Abstract). 15753-15754 - Hubert Baniecki, Przemyslaw Biecek:
Responsible Prediction Making of COVID-19 Mortality (Student Abstract). 15755-15756 - Pierre Bernabé, Helge Spieker, Bruno Legeard, Arnaud Gotlieb:
Encoding Temporal and Spatial Vessel Context using Self-Supervised Learning Model (Student Abstract). 15757-15758 - Manik Bhandari, Mark Feblowitz, Oktie Hassanzadeh, Kavitha Srinivas, Shirin Sohrabi:
Unsupervised Causal Knowledge Extraction from Text using Natural Language Inference (Student Abstract). 15759-15760 - Bikram Boote, Mansi Agarwal, Jack Mostow:
Early Prediction of Children's Task Completion in a Tablet Tutor using Visual Features (Student Abstract). 15761-15762 - Angelina Brilliantova, Hadi Hosseini:
Fair Stable Matchings Under Correlated Preferences (Student Abstract). 15763-15764 - Narayan Changder, Samir Aknine, Sarvapali D. Ramchurn, Animesh Dutta:
BOSS: A Bi-directional Search Technique for Optimal Coalition Structure Generation with Minimal Overlapping (Student Abstract). 15765-15766 - Arushi Chauhan, Mayank Vatsa, Richa Singh:
NEAP-F: Network Epoch Accuracy Prediction Framework (Student Abstract). 15767-15768 - Hanxiao Chen:
Robotic Manipulation with Reinforcement Learning, State Representation Learning, and Imitation Learning (Student Abstract). 15769-15770 - Yu-Ching Chiu, Bo-Hao Chang, Tzu-Yu Chen, Cheng-Fu Yang, Nanyi Bi, Richard Tzong-Han Tsai, Hung-yi Lee, Jane Yung-jen Hsu:
Multi-modal User Intent Classification Under the Scenario of Smart Factory (Student Abstract). 15771-15772 - Lénaïg Cornanguer:
Passive learning of Timed Automata from logs (Student Abstract). 15773-15774 - Mohamad H. Danesh:
Reducing Neural Network Parameter Initialization Into an SMT Problem (Student Abstract). 15775-15776 - Qiqi Ding, Yi Cai, Ke Xu, Huakui Zhang:
Incorporating Curiosity into Personalized Ranking for Collaborative Filtering (Student Abstract). 15777-15778 - Maurizio Ferrari Dacrema:
Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract). 15779-15780 - Prateek Garg, Murari Mandal, Pratik Narang:
Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract). 15781-15782 - Anmol Goel, Ponnurangam Kumaraguru:
Detecting Lexical Semantic Change across Corpora with Smooth Manifolds (Student Abstract). 15783-15784 - Yashvir S. Grewal, Frits de Nijs, Sarah Goodwin:
Evaluating Meta-Reinforcement Learning through a HVAC Control Benchmark (Student Abstract). 15785-15786 - Yuhui Guo, Xun Liang:
RGB-D Scene Recognition based on Object-Scene Relation (Student Abstract). 15787-15788 - Zixin Guo, Chen Liang, Ziyu Wan, Yang Bai:
Global Fusion Attention for Vision and Language Understanding (Student Abstract). 15789-15790 - Arjun Gupta, Zengming Shen, Thomas S. Huang:
Text Embedding Bank for Detailed Image Paragraph Captioning. 15791-15792 - Shashi Kant Gupta:
Reinforcement Based Learning on Classification Task Yields Better Generalization and Adversarial Accuracy (Student Abstract). 15793-15794 - Omar Hamed, H. Joe Steinhauer:
Pedestrian's Intention Recognition, Fusion of Handcrafted Features in a Deep Learning Approach. 15795-15796 - Ayaan Haque:
EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (Student Abstract). 15797-15798 - Annika Heuser, Polina Tsvilodub:
Comparing Symbolic Models of Language via Bayesian Inference (Student Abstract). 15799-15800 - Adarsh Jamadandi, Uma Mudenagudi:
Dethroning Aristocracy in Graphs via Adversarial Perturbations (Student Abstract). 15801-15802 - Vince Jankovics, Michaël Garcia Ortiz, Eduardo Alonso:
HetSAGE: Heterogenous Graph Neural Network for Relational Learning (Student Abstract). 15803-15804 - Bowen Jing, Vinay Uday Prabhu, Angela Gu, John Whaley:
Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks (Student Abstract). 15805-15806 - Charles A. Kantor, Léonard Boussioux, Brice Rauby, Hugues Talbot:
Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks. 15807-15808 - Neel Karia, Jérôme Lang:
Compilation Complexity of Multi-Winner Voting Rules (Student Abstract). 15809-15810 - Yasmine Karoui, Amanda A. Boatswain Jacques, Abdoulaye Baniré Diallo, Elise Shepley, Elsa Vasseur:
A Deep Learning Framework for Improving Lameness Identification in Dairy Cattle. 15811-15812 - Kunal Khadilkar, Ashiqur R. KhudaBukhsh:
An Unfair Affinity Toward Fairness: Characterizing 70 Years of Social Biases in BHollywood (Student Abstract). 15813-15814 - Zine El Abidine Kherroubi, Samir Aknine, Rebiha Bacha:
Leveraging on Deep Reinforcement Learning for Autonomous Safe Decision-Making in Highway On-ramp Merging (Student Abstract). 15815-15816 - Rishab Khincha, Utkarsh Sarawgi, Wazeer Zulfikar, Pattie Maes:
Robustness to Missing Features using Hierarchical Clustering with Split Neural Networks (Student Abstract). 15817-15818 - Anna Kravchenko, Rhodri Cusack:
Is Active Learning Always Beneficial? (Student Abstract). 15819-15820 - Hoang-Son Le, Rini Akmeliawati, Gustavo Carneiro:
Domain Generalisation with Domain Augmented Supervised Contrastive Learning (Student Abstract). 15821-15822 - Canguang Li, Guohua Wang, Jin Cao, Yi Cai:
A Nested Named Entity Recognition Model Based on Multi-agent Communication Mechanism (Student Abstract). 15823-15824 - Li Li, Rui Zhang, Zhenyu Wang:
Melodic Phrase Attention Network for Symbolic Data-based Music Genre Classification (Student Abstract). 15825-15826 - Mingxuan Li, Michael L. Littman:
Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract). 15827-15828 - Jie Lin, Xin Wu, Jianwei Lu, Yi Cai:
Information Block Detection in Infographic Based on Spatial Proximity and Structural Similarity (Student Abstract). 15829-15830 - Guangcheng Liu, Yuexian Hou, Shikai Song:
A Quantum-inspired Complex-valued Representation for Encoding Sentiment Information (Student Abstract). 15831-15832 - Hejing Liu, Qiudan Li, Zaichuan Tang, Jie Bai:
An Attention Based Multi-view Model for Sarcasm Cause Detection (Student Abstract). 15833-15834 - Fangyuan Luo, Jun Wu, Haishuai Wang:
Semi-Discrete Social Recommendation (Student Abstract). 15835-15836 - Jinqi Luo, Tao Bai, Jun Zhao:
Generating Adversarial yet Inconspicuous Patches with a Single Image (Student Abstract). 15837-15838 - Rishabh Maheshwary, Saket Maheshwary, Vikram Pudi:
A Context Aware Approach for Generating Natural Language Attacks. 15839-15840 - Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris R. Sims:
RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract). 15841-15842 - Jonathan Martinez:
Improving the Performance-Compatibility Tradeoff with Personalized Objective Functions (Student Abstract). 15843-15844 - Aman Mehra, Akshay Agarwal, Mayank Vatsa, Richa Singh:
Detection of Digital Manipulation in Facial Images (Student Abstract). 15845-15846 - Gabriel Mersy, Jin Hong Kuan:
Source Separation and Depthwise Separable Convolutions for Computer Audition (Student Abstract). 15847-15848 - Hannah Miller, David E. Narváez:
Toward Determining NFA Equivalence via QBFs (Student Abstract). 15849-15850 - Aadi Swadipto Mondal, Rakesh Bal, Sayan Sinha, Gourab K. Patro:
Two-Sided Fairness in Non-Personalised Recommendations (Student Abstract). 15851-15852 - Ankita Naik, Apurva Swarnakar, Kartik Mittal:
Shallow-UWnet: Compressed Model for Underwater Image Enhancement (Student Abstract). 15853-15854 - Kento Nishi, Yi Ding, Alex Rich, Tobias Höllerer:
Improving Label Noise Robustness with Data Augmentation and Semi-Supervised Learning (Student Abstract). 15855-15856 - Keren Nivasch, Dana Shapira, Amos Azaria:
Deep Reinforcement Learning for a Dictionary Based Compression Schema (Student Abstract). 15857-15858 - Navid Nobani, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
A Method for Taxonomy-Aware Embeddings Evaluation (Student Abstract). 15859-15860 - Rachel Ostic, Oliver Benning, Patrick Boily:
Solving JumpIN' Using Zero-Dependency Reinforcement Learning (Student Abstract). 15861-15862 - Danni Peng, Xiaobo Hu, Anxiang Zeng, Jie Zhang:
Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract). 15863-15864 - Qi Peng, Changmeng Zheng, Yi Cai, Tao Wang, Haoran Xie, Qing Li:
An Entity-Aware Adversarial Domain Adaptation Network for Cross-Domain Named Entity Recognition (Student Abstract). 15865-15866 - Rafael Peres da Silva, Chayaporn Suphavilai, Niranjan Nagarajan:
Task Uncertainty Loss Reduce Negative Transfer in Asymmetric Multi-task Feature Learning (Student Abstract). 15867-15868 - Michal Pietruszka, Lukasz Borchmann, Filip Gralinski:
Successive Halving Top-k Operator. 15869-15870 - Ziyue Qiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou:
Context-Enhanced Entity and Relation Embedding for Knowledge Graph Completion (Student Abstract). 15871-15872 - Mohit Raghavendra, Pravan Omprakash, B. R. Mukesh:
AuthNet: A Deep Learning Based Authentication Mechanism Using Temporal Facial Feature Movements (Student Abstract). 15873-15874 - Aayush Jung Rana, Yogesh S. Rawat:
SSA2D: Single Shot Actor-Action Detection in Videos (Student Abstract). 15875-15876 - Jingyao Ren, Vikraman Sathiyanarayanan, Eric Ewing, Baskin Senbaslar, Nora Ayanian:
Automatic Optimal Multi-Agent Path Finding Algorithm Selector (Student Abstract). 15877-15878 - Yunpeng Ren, Ziao Wang, Yiyuan Wang, Xiaofeng Zhang:
Generating Long Financial Report using Conditional Variational Autoencoders with Knowledge Distillation. 15879-15880 - Rupak Sarkar, Ashiqur R. KhudaBukhsh:
Are Chess Discussions Racist? An Adversarial Hate Speech Data Set (Student Abstract). 15881-15882 - Mario Tasso Ribeiro Serra Neto, Marco A. F. Mollinetti, Inês Dutra:
Data Domain Change and Feature Selection to Predict Cardiac Pathology with a 2D Clinical Dataset and Convolutional Neural Networks (Student Abstract). 15883-15884 - Andrea Seveso, Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica:
Skills2Job: A Recommender System that Encodes Job Offer Embeddings on Graph Databases (Student Abstract). 15885-15886 - Anubhav Shrimal, Tanmoy Chakraborty:
Attention Beam: An Image Captioning Approach (Student Abstract). 15887-15888 - Carla Silva, Ana Aguiar, Inês Dutra:
Quantum Binary Classification (Student Abstract). 15889-15890 - Gunjan Singh, Sutapa Mondal, Sumit Bhatia, Raghava Mutharaju:
Neuro-Symbolic Techniques for Description Logic Reasoning (Student Abstract). 15891-15892 - Shikha Singh, Deepak Khemani:
Mental Actions and Explainability in Kripkean Semantics: What Else do I Know? (Student Abstract). 15893-15894 - Harsh Sinha, Aditya Mehta, Murari Mandal, Pratik Narang:
Learning to Enhance Visual Quality via Hyperspectral Domain Mapping (Student Abstract). 15895-15896 - Ilia Sucholutsky, Matthias Schonlau:
SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract). 15897-15898 - Schyler Chengyao Sun, Chen Li, Zhuangkun Wei, Antonios Tsourdos, Weisi Guo:
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions (Student Abstract). 15899-15900 - Wenbo Sun, Ivona Bezáková:
Sampling Partial Acyclic Orientations in Chordal Graphs by the Lovasz Local Lemma (Student Abstract). 15901-15902 - Divyanshu Sundriyal, Soumyadeep Ghosh, Mayank Vatsa, Richa Singh:
Semi-Supervised Learning via Triplet Network Based Active Learning (Student Abstract). 15903-15904 - Samuel Sung, Yuping Li, Leonard Ortolano:
WildfireNet: Predicting Wildfire Profiles (Student Abstract). 15905-15906 - Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder:
FACS: Fast Code-based Algorithm for Coalition Structure Generation (Student Abstract). 15907-15908 - Vishal Vinod, Vipul Gaurav, Tushar Sharma, Savita Choudhary:
Mining Intelligent Patterns using SVAC for Precision Agriculture and Optimizing Irrigation (Student Abstract). 15909-15910 - Guihong Wan, Haim Schweitzer:
A New Robust Subspace Recovery Algorithm (Student Abstract). 15911-15912 - Mengting Wang, Xun Liang, Yang Xue:
Chinese Character Image Clustering and Classification Based on Object Embedding Model (Student Abstract). 15913-15914 - Wei Wang, Yanjie Zhu, Zhuoxu Cui, Dong Liang:
Is Each Layer Non-trivial in CNN? (Student Abstract). 15915-15916 - Zhen Wang, Yiqun Duan, Liu Liu, Dacheng Tao:
Multi-label Few-shot Learning with Semantic Inference (Student Abstract). 15917-15918 - Thomas Benjamin Wei, Taylor A. Kessler Faulkner, Andrea Lockerd Thomaz:
Extending Policy Shaping to Continuous State Spaces (Student Abstract). 15919-15920 - Lucas Welch, Xudong Liu:
Measuring Vegetation Density in Marsh Grass Photographs Using Deep Neural Networks (Student Abstract). 15921-15922 - Maciej Wolczyk, Andrii Krutsylo:
Remember More by Recalling Less: Investigating the Role of Batch Size in Continual Learning with Experience Replay (Student Abstract). 15923-15924 - Bang Wu, Shirui Pan, Xingliang Yuan:
Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract). 15925-15926 - Chenyang Wu, Rui Kong, Guoyu Yang, Xianghan Kong, Zongzhang Zhang, Yang Yu, Dong Li, Wulong Liu:
LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract). 15927-15928 - Jun Wu, Minghao Yin:
Local Search for Diversified Top-k s-plex Search Problem (Student Abstract). 15929-15930 - Jiayuan Xie, Feng Chen, Yi Cai, Zehang Lin:
A Double Phases Generation Network for Yes or No Question Generation (Student Abstract). 15931-15932 - Nan Xie, Yuexian Hou:
MMIM: An Interpretable Regularization Method for Neural Networks (Student Abstract). 15933-15934 - Chen Xu, Jianyu Zhao, Rang Li, Changjian Hu, Chuangbai Xiao:
Change or Not: A Simple Approach for Plug and Play Language Models on Sentiment Control. 15935-15936 - Feng Xu, Shengyi Jiang, Hao Yin, Zongzhang Zhang, Yang Yu, Ming Li, Dong Li, Wulong Liu:
Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract). 15937-15938 - Dong Xue, Qiang Lu, Jian Li:
Improving the Morphology and Control Policy of Self-reconfiguring Modular Robots in Dynamic Environment (Student Abstract). 15939-15940 - Siddharth Yadav, Tanmoy Chakraborty:
Zera-Shot Sentiment Analysis for Code-Mixed Data. 15941-15942 - Luting Yang, Jianyi Yang, Shaolei Ren:
Contextual Bandits with Delayed Feedback and Semi-supervised Learning (Student Abstract). 15943-15944 - Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu:
Modeling High-order Interactions across Multi-interests for Micro-video Reommendation (Student Abstract). 15945-15946 - Yang Yu, Guohua Wang, Haopeng Ren, Yi Cai:
Incorporating Bidirection-Interactive Information and Semantic Features for Relational Facts Extraction (Student Abstract). 15947-15948 - Zhengkun Zhang, Jun Wang, Zhe Sun, Zhenglu Yang:
LAMS: A Location-aware Approach for Multimodal Summarization (Student Abstract). 15949-15950 - Yaru Zhao, Bo Cheng, Yingying Zhang:
Knowledge-aware Dialogue Generation with Hybrid Attention (Student Abstract). 15951-15952 - Milan Zinzuvadiya, Vahid Behzadan:
State-Wise Adaptive Discounting from Experience (SADE): A Novel Discounting Scheme for Reinforcement Learning (Student Abstract). 15953-15954
AAAI Undergraduate Consortium
- Abrar Anwar:
Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks. 15956-15957 - Morgan Byers, Vangelis Metsis:
Text Analysis for Understanding Symptoms of Social Anxiety in Student Veterans. 15958-15959 - Madelyn Gatchel:
Analyzing Games with a Variable Number of Players. 15960-15961 - Rachel Guo:
Using Remote Sensing Imagery and Machine Learning to Predict Poaching in Wildlife Conservation Parks. 15962-15963 - Christian Ikeokwu:
The Price of Anarchy in ROSCAS with Risk Averse Agents. 15964-15965 - Gopi Kishan:
Probabilistic Robustness Quantification of Neural Networks. 15966-15967 - Leena Mathur:
Affect-Aware Machine Learning Models for Deception Detection. 15968-15969 - Joseph McCalmon:
Exploration of Unknown Environments Using Deep Reinforcement Learning. 15970-15971 - Gabriel Mersy:
Efficient Robust Music Genre Classification with Depthwise Separable Convolutions and Source Separation. 15972-15973 - Lucas Nadolskis:
Use of Computer Vision to Develop a Device to Assist Visually Impaired People with Social Distance. 15974-15975 - Favour Nerrise:
Predictive Agent-Based Modeling of Natural Disasters Using Machine Learning. 15976-15977 - Naveen Raman:
Investigating Methods of Balancing Inequality and Efficiency in Ride Pooling. 15978-15979 - Arjun Subramonian:
MOTIF-Driven Contrastive Learning of Graph Representations. 15980-15981 - Nicole Sullivan:
Bison Hacks the Yard: Assisting Underrepresented Students Overcome Impostor Syndrome with Augmented Reality and Artificial Intelligence. 15982-15983
AAAI Demonstration Track
- Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos, Alexander G. Gray:
A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering. 15985-15987 - Ioana Baldini, Mariana Bernagozzi, Sulbha Aggarwal, Mihaela A. Bornea, Saksham Chawla, Joppe Geluykens, Dmitriy A. Katz-Rogozhnikov, Pratik Mukherjee, Smruthi Ramesh, Sara Rosenthal, Jagrati Sharma, Kush R. Varshney, Laura B. Kleiman, Pradeep Mangalath, Catherine Del Vecchio Fitz:
Exploring the Efficacy of Generic Drugs in Treating Cancer. 15988-15990 - Roman Barták, Jakub Mestek:
OzoMorph: Demonstrating Colored Multi-Agent Path Finding on Real Robots. 15991-15993 - Mariana Bernagozzi, Biplav Srivastava, Francesca Rossi, Sheema Usmani:
VEGA: a Virtual Environment for Exploring Gender Bias vs. Accuracy Trade-offs in AI Translation Services. 15994-15996 - Yuxuan Cai, Geng Yuan, Hongjia Li, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang:
A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices. 15997-16000 - Arunima Chaudhary, Alayt Issak, Kiran Kate, Yannis Katsis, Abel N. Valente, Dakuo Wang, Alexandre V. Evfimievski, Sairam Gurajada, Ban Kawas, A. Cristiano I. Malossi, Lucian Popa, Tejaswini Pedapati, Horst Samulowitz, Martin Wistuba, Yunyao Li:
AutoText: An End-to-End AutoAI Framework for Text. 16001-16003 - Chaotao Chen, Di Jiang, Jinhua Peng, Rongzhong Lian, Chen Jason Zhang, Qian Xu, Lixin Fan, Qiang Yang:
A Health-friendly Speaker Verification System Supporting Mask Wearing. 16004-16006 - Penghe Chen, Yu Lu, Jiefei Liu, Qi Xu:
An Intelligent Assistant for Problem Behavior Management. 16007-16010 - Yiwei Chen, Jingwen Qian, Junming Wang, Lirong Xia, Gavriel Zahavi:
OPRA: An Open-Source Online Preference Reporting and Aggregation System. 16011-16013 - Ján Chudý, Pavel Surynek:
ESO-MAPF: Bridging Discrete Planning and Continuous Execution in Multi-Agent Pathfinding. 16014-16016 - Yuchen Cui, Qiping Zhang, Sahil Jain, Alessandro Allievi, Peter Stone, Scott Niekum, W. Bradley Knox:
Demonstration of the EMPATHIC Framework for Task Learning from Implicit Human Feedback. 16017-16019 - Meihua Dang, Pasha Khosravi, Yitao Liang, Antonio Vergari, Guy Van den Broeck:
Juice: A Julia Package for Logic and Probabilistic Circuits. 16020-16023 - Pankaj Dhoolia, Vineet Kumar, Danish Contractor, Sachindra Joshi:
Bootstrapping Dialog Models from Human to Human Conversation Logs. 16024-16025 - Kshitij P. Fadnis, Pankaj Dhoolia, Li Zhu, Q. Vera Liao, Steven Ross, Nathaniel Mills, Sachindra Joshi, Luis A. Lastras:
Doc2Bot: Document grounded Bot Framework. 16026-16028 - Nicolas R. Fauceglia, Mustafa Canim, Alfio Gliozzo, Jennifer J. Liang, Nancy Xin Ru Wang, Douglas Burdick, Nandana Mihindukulasooriya, Vittorio Castelli, Guy Feigenblat, David Konopnicki, Yannis Katsis, Radu Florian, Yunyao Li, Salim Roukos, Avirup Sil:
KAAPA: Knowledge Aware Answers from PDF Analysis. 16029-16031 - Mark Feblowitz, Oktie Hassanzadeh, Michael Katz, Shirin Sohrabi, Kavitha Srinivas, Octavian Udrea:
IBM Scenario Planning Advisor: A Neuro-Symbolic ERM Solution. 16032-16034 - Anna Giabelli, Lorenzo Malandri, Fabio Mercorio, Mario Mezzanzanica, Andrea Seveso:
NEO: A System for Identifying New Emerging Occupation from Job Ads. 16035-16037 - Ziming Huang, Zhuoxuan Jiang, Hao Chen, Xue Han, Yabin Dang:
Dialog Router: Automated Dialog Transition via Multi-Task Learning. 16038-16040 - Neil Hulbert, Sam Spillers, Brandon Francis, James Haines-Temons, Ken Gil Romero, Benjamin De Jager, Sam Wong, Kevin Flora, Bowei Huang, Athirai A. Irissappane:
EasyRL: A Simple and Extensible Reinforcement Learning Framework. 16041-16043 - Hongchao Jiang, Wei Yang Bryan Lim, Jer Shyuan Ng, Harold Ze Chie Teng, Han Yu, Zehui Xiong, Dusit Niyato, Chunyan Miao:
AI-Empowered Decision Support for COVID-19 Social Distancing. 16044-16047 - Hongchao Jiang, Yanci Zhang, Zhiwei Zeng, Jun Ji, Yu Wang, Ying Chi, Chunyan Miao:
Mobile-based Clock Drawing Test for Detecting Early Signs of Dementia. 16048-16050 - Karthik Valmeekam, Sarath Sreedharan, Sailik Sengupta, Subbarao Kambhampati:
RADAR-X: An Interactive Interface Pairing Contrastive Explanations with Revised Plan Suggestions. 16051-16053 - Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Christoph Miksovic, Anton Zorin:
Business Entity Matching with Siamese Graph Convolutional Networks. 16054-16056 - Mohit Kumar, Samuel Kolb, Clément Gautrais, Luc De Raedt:
Democratizing Constraint Satisfaction Problems through Machine Learning. 16057-16059 - Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu:
TODS: An Automated Time Series Outlier Detection System. 16060-16062 - Yixiao Lan, Yuan Liu, Boyang Li, Chunyan Miao:
Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo). 16063-16066 - Trung-Nghia Le, Tam V. Nguyen, Quoc-Cuong Tran, Lam Nguyen, Trung-Hieu Hoang, Minh-Quan Le, Minh-Triet Tran:
Interactive Video Object Mask Annotation. 16067-16070 - Trung-Nghia Le, Vuong Nguyen, Cong Le, Tan-Cong Nguyen, Minh-Triet Tran, Tam V. Nguyen:
CamouFinder: Finding Camouflaged Instances in Images. 16071-16074 - Xiaohu Li, Zehong Cao, Quan Bai:
A Novel Mountain Driving Unity Simulated Environment for Autonomous Vehicles. 16075-16077 - Yaxin Li, Wei Jin, Han Xu, Jiliang Tang:
DeepRobust: a Platform for Adversarial Attacks and Defenses. 16078-16080 - Zhaojiang Lin, Andrea Madotto, Yejin Bang, Pascale Fung:
The Adapter-Bot: All-In-One Controllable Conversational Model. 16081-16083 - Xueyuan Lu, Saurav Sahay, Zhou Yu, Lama Nachman:
ACAT-G: An Interactive Learning Framework for Assisted Response Generation. 16084-16086 - Yu Lu, Yang Pian, Penghe Chen, Qinggang Meng, Yunbo Cao:
RadarMath: An Intelligent Tutoring System for Math Education. 16087-16090 - Gaku Morio, Hiroaki Ozaki, Yuta Koreeda, Terufumi Morishita, Toshinori Miyoshi:
i-Parser: Interactive Parser Development Kit for Natural Language Processing. 16091-16093 - Haekyu Park, Zijie J. Wang, Nilaksh Das, Anindya S. Paul, Pruthvi Perumalla, Zhiyan Zhou, Duen Horng Chau:
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models. 16094-16096 - Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang:
Integrating Pre-trained Model into Rule-based Dialogue Management. 16097-16099 - Satyajeet Raje, Karina Kervin, Nergal Issaie, Madhu Channapatna:
Accelerating Data Discovery with an Ontology-driven Tool for an Enterprise-scale Data Lake Environment. 16100-16102 - Patrick Shepherd, Isaac Batts, Judy Goldsmith, Emory Hufbauer, Mia Weaver, Angela Zhang:
Software for Agent-based Network Simulation and Visualization. 16103-16105 - Wanita Sherchan, Garfield Vaughn, Shaila Pervin, Bryan Barone:
ITRIX - an AI Enabled Solution for Orchestration of Recovery Instructions. 16106-16107 - Lee Stearns, Neil Fendley, Ashley J. Llorens:
The Active Sensing Testbed. 16108-16110 - Chengyu Wang, Mengli Cheng, Xu Hu, Jun Huang:
EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition. 16111-16113 - Chenhao Wang, Yubo Chen, Zhipeng Xue, Yang Zhou, Jun Zhao:
CogNet: Bridging Linguistic Knowledge, World Knowledge and Commonsense Knowledge. 16114-16116 - Zihao Wang, Minghui Yang, Chunxiang Jin, Jia Liu, Zujie Wen, Saishuai Liu, Zhe Zhang:
IFDDS: An Anti-fraud Outbound Robot. 16117-16119 - Qianli Xu, Nicolas Gauthier, Wenyu Liang, Fen Fang, Hui Li Tan, Ying Sun, Yan Wu, Liyuan Li, Joo-Hwee Lim:
TAILOR: Teaching with Active and Incremental Learning for Object Registration. 16120-16123 - Qian-Wen Zhang, Zhao Yan, Tianyang Zhao, Shi-Wei Zhang, Meng Yao, Meng-Liang Rao, Yunbo Cao:
MMKE: A Multi-Model Knowledge Extraction System from Unstructured Texts. 16124-16126 - Yanhao Zhang, Qiang Wang, Pan Pan, Yun Zheng, Cheng Da, Siyang Sun, Yinghui Xu:
Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce. 16127-16128
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