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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 /

No. 12: AAAI-21 Technical Tracks 12

AAAI Technical Track on Machine Learning V

  • Multi-task Learning by Leveraging the Semantic Information

    Fan Zhou, Brahim Chaib-draa, Boyu Wang

    11088-11096

    PDF
  • MetaAugment: Sample-Aware Data Augmentation Policy Learning

    Fengwei Zhou, Jiawei Li, Chuanlong Xie, Fei Chen, Lanqing Hong, Rui Sun, Zhenguo Li

    11097-11105

    PDF
  • Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

    Haoyi Zhou, Shanghang Zhang, Jieqi Peng, Shuai Zhang, Jianxin Li, Hui Xiong, Wancai Zhang

    11106-11115

    PDF
  • Inverse Reinforcement Learning with Natural Language Goals

    Li Zhou, Kevin Small

    11116-11124

    PDF
  • Tri-level Robust Clustering Ensemble with Multiple Graph Learning

    Peng Zhou, Liang Du, Yi-Dong Shen, Xuejun Li

    11125-11133

    PDF
  • Fairness in Forecasting and Learning Linear Dynamical Systems

    Quan Zhou, Jakub Marecek, Robert N. Shorten

    11134-11142

    PDF
  • Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust Performance

    Shibo Zhou, Xiaohua Li, Ying Chen, Sanjeev T. Chandrasekaran, Arindam Sanyal

    11143-11151

    PDF
  • Local Differential Privacy for Bayesian Optimization

    Xingyu Zhou, Jian Tan

    11152-11159

    PDF
  • A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments

    Yu-Hang Zhou, Peng Hu, Chen Liang, Huan Xu, Guangda Huzhang, Yinfu Feng, Qing Da, Xinshang Wang, An-Xiang Zeng

    11160-11167

    PDF
  • Graph Neural Networks with Heterophily

    Jiong Zhu, Ryan A. Rossi, Anup Rao, Tung Mai, Nedim Lipka, Nesreen K. Ahmed, Danai Koutra

    11168-11176

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  • Bias and Variance of Post-processing in Differential Privacy

    Keyu Zhu, Pascal Van Hentenryck, Ferdinando Fioretto

    11177-11184

    PDF
  • Self-correcting Q-learning

    Rong Zhu, Mattia Rigotti

    11185-11192

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  • An Efficient Algorithm for Deep Stochastic Contextual Bandits

    Tan Zhu, Guannan Liang, Chunjiang Zhu, Haining Li, Jinbo Bi

    11193-11201

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  • Variational Fair Clustering

    Imtiaz Masud Ziko, Jing Yuan, Eric Granger, Ismail Ben Ayed

    11202-11209

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  • Learning Task-Distribution Reward Shaping with Meta-Learning

    Haosheng Zou, Tongzheng Ren, Dong Yan, Hang Su, Jun Zhu

    11210-11218

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  • Deep Wasserstein Graph Discriminant Learning for Graph Classification

    Tong Zhang, Yun Wang, Zhen Cui, Chuanwei Zhou, Baoliang Cui, Haikuan Huang, Jian Yang

    10914-10922

    PDF
  • Treatment Effect Estimation with Disentangled Latent Factors

    Weijia Zhang, Lin Liu, Jiuyong Li

    10923-10930

    PDF
  • Regret Bounds for Online Kernel Selection in Continuous Kernel Space

    Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen

    10931-10938

    PDF
  • The Sample Complexity of Teaching by Reinforcement on Q-Learning

    Xuezhou Zhang, Shubham Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu

    10939-10947

    PDF
  • Partial-Label and Structure-constrained Deep Coupled Factorization Network

    Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang

    10948-10955

    PDF
  • Memory-Gated Recurrent Networks

    Yaquan Zhang, Qi Wu, Nanbo Peng, Min Dai, Jing Zhang, Hu Wang

    10956-10963

    PDF
  • Towards Enabling Learnware to Handle Unseen Jobs

    Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

    10964-10972

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  • Exploiting Unlabeled Data via Partial Label Assignment for Multi-Class Semi-Supervised Learning

    Zhen-Ru Zhang, Qian-Wen Zhang, Yunbo Cao, Min-Ling Zhang

    10973-10980

    PDF
  • Looking Wider for Better Adaptive Representation in Few-Shot Learning

    Jiabao Zhao, Yifan Yang, Xin Lin, Jing Yang, Liang He

    10981-10989

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  • Distilling Localization for Self-Supervised Representation Learning

    Nanxuan Zhao, Zhirong Wu, Rynson W.H. Lau, Stephen Lin

    10990-10998

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  • Exploratory Machine Learning with Unknown Unknowns

    Peng Zhao, Yu-Jie Zhang, Zhi-Hua Zhou

    10999-11006

    PDF
  • Efficient Classification with Adaptive KNN

    Puning Zhao, Lifeng Lai

    11007-11014

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  • Data Augmentation for Graph Neural Networks

    Tong Zhao, Yozen Liu, Leonardo Neves, Oliver Woodford, Meng Jiang, Neil Shah

    11015-11023

    PDF
  • Augmenting Policy Learning with Routines Discovered from a Single Demonstration

    Zelin Zhao, Chuang Gan, Jiajun Wu, Xiaoxiao Guo, Joshua B. Tenenbaum

    11024-11032

    PDF
  • Improved Consistency Regularization for GANs

    Zhengli Zhao, Sameer Singh, Honglak Lee, Zizhao Zhang, Augustus Odena, Han Zhang

    11033-11041

    PDF
  • Flow-based Generative Models for Learning Manifold to Manifold Mappings

    Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh

    11042-11052

    PDF
  • Meta Label Correction for Noisy Label Learning

    Guoqing Zheng, Ahmed Hassan Awadallah, Susan Dumais

    11053-11061

    PDF
  • Going Deeper With Directly-Trained Larger Spiking Neural Networks

    Hanle Zheng, Yujie Wu, Lei Deng, Yifan Hu, Guoqi Li

    11062-11070

    PDF
  • Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion

    Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Qibin Zhao, Tai-Xiang Jiang

    11071-11078

    PDF
  • How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?

    Li Zhong, Zhen Fang, Feng Liu, Jie Lu, Bo Yuan, Guangquan Zhang

    11079-11087

    PDF
  • Identity-aware Graph Neural Networks

    Jiaxuan You, Jonathan M Gomes-Selman, Rex Ying, Jure Leskovec

    10737-10745

    PDF
  • How Does Data Augmentation Affect Privacy in Machine Learning?

    Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu

    10746-10753

    PDF
  • DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training

    Fei Yu, Mo Zhang, Hexin Dong, Sheng Hu, Bin Dong, Li Zhang

    10754-10762

    PDF
  • Any-Precision Deep Neural Networks

    Haichao Yu, Haoxiang Li, Humphrey Shi, Thomas S. Huang, Gang Hua

    10763-10771

    PDF
  • Personalized Adaptive Meta Learning for Cold-start User Preference Prediction

    Runsheng Yu, Yu Gong, Xu He, Yu Zhu, Qingwen Liu, Wenwu Ou, Bo An

    10772-10780

    PDF
  • Measuring Dependence with Matrix-based Entropy Functional

    Shujian Yu, Francesco Alesiani, Xi Yu, Robert Jenssen, Jose Principe

    10781-10789

    PDF
  • Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis

    Wenmeng Yu, Hua Xu, Ziqi Yuan, Jiele Wu

    10790-10797

    PDF
  • Knowledge-Guided Object Discovery with Acquired Deep Impressions

    Jinyang Yuan, Bin Li, Xiangyang Xue

    10798-10806

    PDF
  • Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning

    Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan

    10807-10814

    PDF
  • Are Adversarial Examples Created Equal? A Learnable Weighted Minimax Risk for Robustness under Non-uniform Attacks

    Huimin Zeng, Chen Zhu, Tom Goldstein, Furong Huang

    10815-10823

    PDF
  • Contrastive Self-supervised Learning for Graph Classification

    Jiaqi Zeng, Pengtao Xie

    10824-10832

    PDF
  • Data-driven Competitive Algorithms for Online Knapsack and Set Cover

    Ali Zeynali, Bo Sun, Mohammad Hajiesmaili, Adam Wierman

    10833-10841

    PDF
  • A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method

    Chao Zhang, Zhijian Li, Zebang Shen, Jiahao Xie, Hui Qian

    10842-10850

    PDF
  • CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting

    Chaoyun Zhang, Marco Fiore, Iain Murray, Paul Patras

    10851-10858

    PDF
  • Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework

    Chuheng Zhang, Yuanying Cai, Longbo Huang, Jian Li

    10859-10867

    PDF
  • Efficient Folded Attention for Medical Image Reconstruction and Segmentation

    Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang

    10868-10876

    PDF
  • Interpreting Multivariate Shapley Interactions in DNNs

    Hao Zhang, Yichen Xie, Longjie Zheng, Die Zhang, Quanshi Zhang

    10877-10886

    PDF
  • Sample Efficient Reinforcement Learning with REINFORCE

    Junzi Zhang, Jongho Kim, Brendan O'Donoghue, Stephen Boyd

    10887-10895

    PDF
  • Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating

    Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang

    10896-10904

    PDF
  • Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning

    Shangtong Zhang, Bo Liu, Shimon Whiteson

    10905-10913

    PDF
  • Toward Understanding the Influence of Individual Clients in Federated Learning

    Yihao Xue, Chaoyue Niu, Zhenzhe Zheng, Shaojie Tang, Chengfei Lyu, Fan Wu, Guihai Chen

    10560-10567

    PDF
  • Adversarial Partial Multi-Label Learning with Label Disambiguation

    Yan Yan, Yuhong Guo

    10568-10576

    PDF
  • Near Lossless Transfer Learning for Spiking Neural Networks

    Zhanglu Yan, Jun Zhou, Weng-Fai Wong

    10577-10584

    PDF
  • DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation

    Zhicong Yan, Gaolei Li, Yuan TIan, Jun Wu, Shenghong Li, Mingzhe Chen, H. Vincent Poor

    10585-10593

    PDF
  • Robust Bandit Learning with Imperfect Context

    Jianyi Yang, Shaolei Ren

    10594-10602

    PDF
  • Hierarchical Graph Capsule Network

    Jinyu Yang, Peilin Zhao, Yu Rong, Chaochao Yan, Chunyuan Li, Hehuan Ma, Junzhou Huang

    10603-10611

    PDF
  • FracBits: Mixed Precision Quantization via Fractional Bit-Widths

    Linjie Yang, Qing Jin

    10612-10620

    PDF
  • On Convergence of Gradient Expected Sarsa(λ)

    Long Yang, Gang Zheng, Yu Zhang, Qian Zheng, Pengfei Li, Gang Pan

    10621-10629

    PDF
  • Sample Complexity of Policy Gradient Finding Second-Order Stationary Points

    Long Yang, Qian Zheng, Gang Pan

    10630-10638

    PDF
  • WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning

    Qisong Yang, Thiago D. Simão, Simon H Tindemans, Matthijs T. J. Spaan

    10639-10646

    PDF
  • Characterizing the Evasion Attackability of Multi-label Classifiers

    Zhuo Yang, Yufei Han, Xiangliang Zhang

    10647-10655

    PDF
  • SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning

    Ting Yao, Yiheng Zhang, Zhaofan Qiu, Yingwei Pan, Tao Mei

    10656-10664

    PDF
  • ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

    Zhewei Yao, Amir Gholami, Sheng Shen, Mustafa Mustafa, Kurt Keutzer, Michael Mahoney

    10665-10673

    PDF
  • Improving Sample Efficiency in Model-Free Reinforcement Learning from Images

    Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus

    10674-10681

    PDF
  • Task Cooperation for Semi-Supervised Few-Shot Learning

    Han-Jia Ye, Xin-Chun Li, De-Chuan Zhan

    10682-10690

    PDF
  • Amata: An Annealing Mechanism for Adversarial Training Acceleration

    Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu

    10691-10699

    PDF
  • Sequential Generative Exploration Model for Partially Observable Reinforcement Learning

    Haiyan Yin, Jianda Chen, Sinno Jialin Pan, Sebastian Tschiatschek

    10700-10708

    PDF
  • Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning

    Yifang Yin, Harsh Shrivastava, Ying Zhang, Zhenguang Liu, Rajiv Ratn Shah, Roger Zimmermann

    10709-10717

    PDF
  • Image-to-Image Retrieval by Learning Similarity between Scene Graphs

    Sangwoong Yoon, Woo Young Kang, Sungwook Jeon, SeongEun Lee, Changjin Han, Jonghun Park, Eun-Sol Kim

    10718-10726

    PDF
  • Learning Interpretable Models for Coupled Networks Under Domain Constraints

    Hongyuan You, Sikun Lin, Ambuj Singh

    10727-10736

    PDF
  • Neural Architecture Search as Sparse Supernet

    Yan Wu, Aoming Liu, Zhiwu Huang, Siwei Zhang, Luc Van Gool

    10379-10387

    PDF
  • Learning to Purify Noisy Labels via Meta Soft Label Corrector

    Yichen Wu, Jun Shu, Qi Xie, Qian Zhao, Deyu Meng

    10388-10396

    PDF
  • Near-Optimal MNL Bandits Under Risk Criteria

    Guangyu Xi, Chao Tao, Yuan Zhou

    10397-10404

    PDF
  • Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning

    Wenhan Xian, Feihu Huang, Heng Huang

    10405-10413

    PDF
  • Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science

    Ziyu Xiang, Mingzhou Fan, Guillermo Vázquez Tovar, William Trehern, Byung-Jun Yoon, Xiaofeng Qian, Raymundo Arroyave, Xiaoning Qian

    10414-10421

    PDF
  • Distant Transfer Learning via Deep Random Walk

    Qiao Xiao, Yu Zhang

    10422-10429

    PDF
  • Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation

    Jianwen Xie, Zilong Zheng, Xiaolin Fang, Song-Chun Zhu, Ying Nian Wu

    10430-10440

    PDF
  • Learning Energy-Based Model with Variational Auto-Encoder as Amortized Sampler

    Jianwen Xie, Zilong Zheng, Ping Li

    10441-10451

    PDF
  • Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation

    Jinwei Xing, Takashi Nagata, Kexin Chen, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar

    10452-10459

    PDF
  • Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling

    Huaqing Xiong, Tengyu Xu, Yingbin Liang, Wei Zhang

    10460-10468

    PDF
  • Variational Disentanglement for Rare Event Modeling

    Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin A. Goldstein, Ricardo Henao

    10469-10477

    PDF
  • Step-Ahead Error Feedback for Distributed Training with Compressed Gradient

    An Xu, Zhouyuan Huo, Heng Huang

    10478-10486

    PDF
  • Isolation Graph Kernel

    Bi-Cun Xu, Kai Ming Ting, Yuan Jiang

    10487-10495

    PDF
  • Multi-Task Recurrent Modular Networks

    Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang

    10496-10504

    PDF
  • Learning Graphons via Structured Gromov-Wasserstein Barycenters

    Hongteng Xu, Dixin Luo, Lawrence Carin, Hongyuan Zha

    10505-10513

    PDF
  • Towards Generalized Implementation of Wasserstein Distance in GANs

    Minkai Xu

    10514-10522

    PDF
  • Towards Feature Space Adversarial Attack by Style Perturbation

    Qiuling Xu, Guanhong Tao, Siyuan Cheng, Xiangyu Zhang

    10523-10531

    PDF
  • MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records

    Zhen Xu, David R. So, Andrew M. Dai

    10532-10540

    PDF
  • Deep Frequency Principle Towards Understanding Why Deeper Learning Is Faster

    Zhiqin John Xu, Hanxu Zhou

    10541-10550

    PDF
  • Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective

    Chao Xue, Xiaoxing Wang, Junchi Yan, Yonggang Hu, Xiaokang Yang, Kewei Sun

    10551-10559

    PDF
  • Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases

    Chris Wendler, Andisheh Amrollahi, Bastian Seifert, Andreas Krause, Markus Püschel

    10283-10292

    PDF
  • BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search

    Colin White, Willie Neiswanger, Yash Savani

    10293-10301

    PDF
  • Peer Collaborative Learning for Online Knowledge Distillation

    Guile Wu, Shaogang Gong

    10302-10310

    PDF
  • Self-Supervised Attention-Aware Reinforcement Learning

    Haiping Wu, Khimya Khetarpal, Doina Precup

    10311-10319

    PDF
  • Training Spiking Neural Networks with Accumulated Spiking Flow

    Hao Wu, Yueyi Zhang, Wenming Weng, Yongting Zhang, Zhiwei Xiong, Zheng-Jun Zha, Xiaoyan Sun, Feng Wu

    10320-10328

    PDF
  • Fast and Scalable Adversarial Training of Kernel SVM via Doubly Stochastic Gradients

    Huimin Wu, Zhengmian Hu, Bin Gu

    10329-10337

    PDF
  • Fine-grained Generalization Analysis of Vector-Valued Learning

    Liang Wu, Antoine Ledent, Yunwen Lei, Marius Kloft

    10338-10346

    PDF
  • Frugal Optimization for Cost-related Hyperparameters

    Qingyun Wu, Chi Wang, Silu Huang

    10347-10354

    PDF
  • Federated Block Coordinate Descent Scheme for Learning Global and Personalized Models

    Ruiyuan Wu, Anna Scaglione, Hoi-To Wai, Nurullah Karakoc, Kari Hreinsson, Wing-Kin Ma

    10355-10362

    PDF
  • Curriculum-Meta Learning for Order-Robust Continual Relation Extraction

    Tongtong Wu, Xuekai Li, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu

    10363-10369

    PDF
  • Fractal Autoencoders for Feature Selection

    Xinxing Wu, Qiang Cheng

    10370-10378

    PDF

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