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

No. 9: AAAI-21 Technical Tracks 9

AAAI Technical Track on Machine Learning II

  • Hypothesis Disparity Regularized Mutual Information Maximization

    Qicheng Lao, Xiang Jiang, Mohammad Havaei

    8243-8251

    PDF
  • Query Training: Learning a Worse Model to Infer Better Marginals in Undirected Graphical Models with Hidden Variables

    Miguel Lázaro-Gredilla, Wolfgang Lehrach, Nishad Gothoskar, Guangyao Zhou, Antoine Dedieu, Dileep George

    8252-8260

    PDF
  • Metrics and Continuity in Reinforcement Learning

    Charline Le Lan, Marc G. Bellemare, Pablo Samuel Castro

    8261-8269

    PDF
  • Lipschitz Lifelong Reinforcement Learning

    Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman

    8270-8278

    PDF
  • Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks

    Antoine Ledent, Waleed Mustafa, Yunwen Lei, Marius Kloft

    8279-8287

    PDF
  • Learnable Dynamic Temporal Pooling for Time Series Classification

    Dongha Lee, Seonghyeon Lee, Hwanjo Yu

    8288-8296

    PDF
  • Interpretable Embedding Procedure Knowledge Transfer via Stacked Principal Component Analysis and Graph Neural Network

    Seunghyun Lee, Byung Cheol Song

    8297-8305

    PDF
  • Unsupervised Domain Adaptation for Semantic Segmentation by Content Transfer

    Suhyeon Lee, Junhyuk Hyun, Hongje Seong, Euntai Kim

    8306-8315

    PDF
  • Memory and Computation-Efficient Kernel SVM via Binary Embedding and Ternary Model Coefficients

    Zijian Lei, Liang Lan

    8316-8323

    PDF
  • Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem

    Bingcong Li, Lingda Wang, Georgios B. Giannakis, Zhizhen Zhao

    8324-8331

    PDF
  • Unsupervised Active Learning via Subspace Learning

    Changsheng Li, Kaihang Mao, Lingyan Liang, Dongchun Ren, Wei Zhang, Ye Yuan, Guoren Wang

    8332-8339

    PDF
  • LRSC: Learning Representations for Subspace Clustering

    Changsheng Li, Chen Yang, Bo Liu, Ye Yuan, Guoren Wang

    8340-8348

    PDF
  • GoT: a Growing Tree Model for Clustering Ensemble

    Feijiang Li, Yuhua Qian, Jieting Wang

    8349-8356

    PDF
  • VSQL: Variational Shadow Quantum Learning for Classification

    Guangxi Li, Zhixin Song, Xin Wang

    8357-8365

    PDF
  • High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition

    Guanyue Li, Qianfen Jiao, Sheng Qian, Si Wu, Hau-San Wong

    8366-8374

    PDF
  • ShapeNet: A Shapelet-Neural Network Approach for Multivariate Time Series Classification

    Guozhong Li, Byron Choi, Jianliang Xu, Sourav S Bhowmick, Kwok-Pan Chun, Grace Lai-Hung Wong

    8375-8383

    PDF
  • A Bayesian Approach for Subset Selection in Contextual Bandits

    Jialian Li, Chao Du, Jun Zhu

    8384-8391

    PDF
  • Self-Paced Two-dimensional PCA

    Jiangxin Li, Zhao Kang, Chong Peng, Wenyu Chen

    8392-8400

    PDF
  • Learning Intact Features by Erasing-Inpainting for Few-shot Classification

    Junjie Li, Zilei Wang, Xiaoming Hu

    8401-8409

    PDF
  • Token-Aware Virtual Adversarial Training in Natural Language Understanding

    Linyang Li, Xipeng Qiu

    8410-8418

    PDF
  • Learning Generalized Relational Heuristic Networks for Model-Agnostic Planning

    Rushang Karia, Siddharth Srivastava

    8064-8073

    PDF
  • A Recipe for Global Convergence Guarantee in Deep Neural Networks

    Kenji Kawaguchi, Qingyun Sun

    8074-8082

    PDF
  • Bayesian Dynamic Mode Decomposition with Variational Matrix Factorization

    Takahiro Kawashima, Hayaru Shouno, Hideitsu Hino

    8083-8091

    PDF
  • Improving Fairness and Privacy in Selection Problems

    Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi

    8092-8100

    PDF
  • A Flexible Framework for Communication-Efficient Machine Learning

    Sarit Khirirat, Sindri Magnússon, Arda Aytekin, Mikael Johansson

    8101-8109

    PDF
  • GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning

    Krishnateja Killamsetty, Durga Sivasubramanian, Ganesh Ramakrishnan, Rishabh Iyer

    8110-8118

    PDF
  • Understanding Catastrophic Overfitting in Single-step Adversarial Training

    Hoki Kim, Woojin Lee, Jaewook Lee

    8119-8127

    PDF
  • Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder

    Hyemi Kim, Seungjae Shin, JoonHo Jang, Kyungwoo Song, Weonyoung Joo, Wanmo Kang, Il-Chul Moon

    8128-8136

    PDF
  • Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network

    Jong-Yeong Kim, Dong-Wan Choi

    8137-8145

    PDF
  • DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation

    Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jhin, Noseong Park

    8146-8154

    PDF
  • Kernel-convoluted Deep Neural Networks with Data Augmentation

    Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik

    8155-8162

    PDF
  • Neural Sequence-to-grid Module for Learning Symbolic Rules

    Segwang Kim, Hyoungwook Nam, Joonyoung Kim, Kyomin Jung

    8163-8171

    PDF
  • Visual Concept Reasoning Networks

    Taesup Kim, Sungwoong Kim, Yoshua Bengio

    8172-8180

    PDF
  • Sparsity Aware Normalization for GANs

    Idan Kligvasser, Tomer Michaeli

    8181-8190

    PDF
  • HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference

    Jakob Kruse, Gianluca Detommaso, Ullrich Köthe, Robert Scheichl

    8191-8199

    PDF
  • Nearly Linear-Time, Parallelizable Algorithms for Non-Monotone Submodular Maximization

    Alan Kuhnle

    8200-8208

    PDF
  • Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees

    Vyacheslav Kungurtsev, Malcolm Egan, Bapi Chatterjee, Dan Alistarh

    8209-8216

    PDF
  • Positions, Channels, and Layers: Fully Generalized Non-Local Network for Singer Identification

    I-Yuan Kuo, Wen-Li Wei, Jen-Chun Lin

    8217-8225

    PDF
  • MolGrow: A Graph Normalizing Flow for Hierarchical Molecular Generation

    Maksim Kuznetsov, Daniil Polykovskiy

    8226-8234

    PDF
  • Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters

    Weichao Lan, Liang Lan

    8235-8242

    PDF
  • Accurate and Robust Feature Importance Estimation under Distribution Shifts

    Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Rushil Anirudh, Peer-Timo Bremer, Andreas Spanias

    7891-7898

    PDF
  • Variance Penalized On-Policy and Off-Policy Actor-Critic

    Arushi Jain, Gandharv Patil, Ayush Jain, Khimya Khetarpal, Doina Precup

    7899-7907

    PDF
  • Constructing a Fair Classifier with Generated Fair Data

    Taeuk Jang, Feng Zheng, Xiaoqian Wang

    7908-7916

    PDF
  • Neural Utility Functions

    Porter Jenkins, Ahmad Farag, J. Stockton Jenkins, Huaxiu Yao, Suhang Wang, Zhenhui Li

    7917-7925

    PDF
  • IB-GAN: Disentangled Representation Learning with Information Bottleneck Generative Adversarial Networks

    Insu Jeon, Wonkwang Lee, Myeongjang Pyeon, Gunhee Kim

    7926-7934

    PDF
  • Active Bayesian Assessment of Black-Box Classifiers

    Disi Ji, Robert L. Logan, Padhraic Smyth, Mark Steyvers

    7935-7944

    PDF
  • Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching

    Mingi Ji, Byeongho Heo, Sungrae Park

    7945-7952

    PDF
  • Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications

    Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu

    7953-7960

    PDF
  • Intrinsic Certified Robustness of Bagging against Data Poisoning Attacks

    Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong

    7961-7969

    PDF
  • Clustering Ensemble Meets Low-rank Tensor Approximation

    Yuheng Jia, Hui Liu, Junhui Hou, Qingfu Zhang

    7970-7978

    PDF
  • Action Candidate Based Clipped Double Q-learning for Discrete and Continuous Action Tasks

    Haobo Jiang, Jin Xie, Jian Yang

    7979-7986

    PDF
  • LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification

    Ting Jiang, Deqing Wang, Leilei Sun, Huayi Yang, Zhengyang Zhao, Fuzhen Zhuang

    7987-7994

    PDF
  • Temporal-Logic-Based Reward Shaping for Continuing Reinforcement Learning Tasks

    Yuqian Jiang, Suda Bharadwaj, Bo Wu, Rishi Shah, Ufuk Topcu, Peter Stone

    7995-8003

    PDF
  • Power up! Robust Graph Convolutional Network via Graph Powering

    Ming Jin, Heng Chang, Wenwu Zhu, Somayeh Sojoudi

    8004-8012

    PDF
  • Balanced Open Set Domain Adaptation via Centroid Alignment

    Mengmeng Jing, Jingjing Li, Lei Zhu, Zhengming Ding, Ke Lu, Yang Yang

    8013-8020

    PDF
  • Linearly Replaceable Filters for Deep Network Channel Pruning

    Donggyu Joo, Eojindl Yi, Sunghyun Baek, Junmo Kim

    8021-8029

    PDF
  • A Sample-Efficient Algorithm for Episodic Finite-Horizon MDP with Constraints

    Krishna C. Kalagarla, Rahul Jain, Pierluigi Nuzzo

    8030-8037

    PDF
  • Winning Lottery Tickets in Deep Generative Models

    Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi

    8038-8046

    PDF
  • Exploration via State influence Modeling

    Yongxin Kang, Enmin Zhao, Kai Li, Junliang Xing

    8047-8054

    PDF
  • Deep Probabilistic Canonical Correlation Analysis

    Mahdi Karami, Dale Schuurmans

    8055-8063

    PDF
  • Topology Distance: A Topology-Based Approach for Evaluating Generative Adversarial Networks

    Danijela Horak, Simiao Yu, Gholamreza Salimi-Khorshidi

    7721-7728

    PDF
  • Storage Fit Learning with Feature Evolvable Streams

    Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

    7729-7736

    PDF
  • Reinforcement Learning Based Multi-Agent Resilient Control: From Deep Neural Networks to an Adaptive Law

    Jian Hou, Fangyuan Wang, Lili Wang, Zhiyong Chen

    7737-7745

    PDF
  • Slimmable Generative Adversarial Networks

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

    7746-7753

    PDF
  • Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond

    Shifu Hou, Yujie Fan, Mingxuan Ju, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong, Fudong Shao

    7754-7761

    PDF
  • Gaussian Process Priors for View-Aware Inference

    Yuxin Hou, Ari Heljakka, Arno Solin

    7762-7770

    PDF
  • Boosting Multi-task Learning Through Combination of Task Labels – with Applications in ECG Phenotyping

    Ming-En Hsieh, Vincent Tseng

    7771-7779

    PDF
  • OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization

    Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin

    7780-7788

    PDF
  • Multi-scale Graph Fusion for Co-saliency Detection

    Rongyao Hu, Zhenyun Deng, Xiaofeng Zhu

    7789-7796

    PDF
  • Continual Learning by Using Information of Each Class Holistically

    Wenpeng Hu, Qi Qin, Mengyu Wang, Jinwen Ma, Bing Liu

    7797-7805

    PDF
  • Predictive Adversarial Learning from Positive and Unlabeled Data

    Wenpeng Hu, Ran Le, Bing Liu, Feng Ji, Jinwen Ma, Dongyan Zhao, Rui Yan

    7806-7814

    PDF
  • Multidimensional Uncertainty-Aware Evidential Neural Networks

    Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen

    7815-7822

    PDF
  • Adversarial Defence by Diversified Simultaneous Training of Deep Ensembles

    Bo Huang, Zhiwei Ke, Yi Wang, Wei Wang, Linlin Shen, Feng Liu

    7823-7831

    PDF
  • Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization

    Han-Hsien Huang, Mi-Yen Yeh

    7832-7839

    PDF
  • Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition

    Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang

    7840-7847

    PDF
  • Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning

    Wenzhen Huang, Qiyue Yin, Junge Zhang, Kaiqi Huang

    7848-7856

    PDF
  • ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization

    Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li

    7857-7864

    PDF
  • Personalized Cross-Silo Federated Learning on Non-IID Data

    Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang

    7865-7873

    PDF
  • Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits

    Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar

    7874-7882

    PDF
  • Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling

    Zhouyuan Huo, Bin Gu, Heng Huang

    7883-7890

    PDF
  • High-Dimensional Bayesian Optimization via Tree-Structured Additive Models

    Eric Han, Ishank Arora, Jonathan Scarlett

    7630-7638

    PDF
  • Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability

    Tao Han, Wei-Wei Tu, Yu-Feng Li

    7639-7646

    PDF
  • DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning

    Mohammadhosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening

    7647-7656

    PDF
  • Liquid Time-constant Networks

    Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus, Radu Grosu

    7657-7666

    PDF
  • Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs

    Aria HasanzadeZonuzy, Archana Bura, Dileep Kalathil, Srinivas Shakkottai

    7667-7674

    PDF
  • Analysing the Noise Model Error for Realistic Noisy Label Data

    Michael A. Hedderich, Dawei Zhu, Dietrich Klakow

    7675-7684

    PDF
  • Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size

    Christoph Hertrich, Martin Skutella

    7685-7693

    PDF
  • Scaling-Up Robust Gradient Descent Techniques

    Matthew J. Holland

    7694-7701

    PDF
  • Learning Model-Based Privacy Protection under Budget Constraints

    Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou

    7702-7710

    PDF
  • Graph Game Embedding

    Xiaobin Hong, Tong Zhang, Zhen Cui, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang

    7711-7720

    PDF
  • Increasing Iterate Averaging for Solving Saddle-Point Problems

    Yuan Gao, Christian Kroer, Donald Goldfarb

    7537-7544

    PDF
  • Uncertainty-Aware Multi-View Representation Learning

    Yu Geng, Zongbo Han, Changqing Zhang, Qinghua Hu

    7545-7553

    PDF
  • Justicia: A Stochastic SAT Approach to Formally Verify Fairness

    Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel

    7554-7563

    PDF
  • The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective

    Naman Goel, Alfonso Amayuelas, Amit Deshpande, Amit Sharma

    7564-7573

    PDF
  • Attribute-Guided Adversarial Training for Robustness to Natural Perturbations

    Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang

    7574-7582

    PDF
  • Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization

    Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Ray T. Chen, David Z. Pan

    7583-7591

    PDF
  • Attentive Neural Point Processes for Event Forecasting

    Yulong Gu

    7592-7600

    PDF
  • Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization

    Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang

    7601-7609

    PDF
  • Controllable Guarantees for Fair Outcomes via Contrastive Information Estimation

    Umang Gupta, Aaron M Ferber, Bistra Dilkina, Greg Ver Steeg

    7610-7619

    PDF
  • Towards Reusable Network Components by Learning Compatible Representations

    Michael Gygli, Jasper Uijlings, Vittorio Ferrari

    7620-7629

    PDF
  • HiGAN: Handwriting Imitation Conditioned on Arbitrary-Length Texts and Disentangled Styles

    Ji Gan, Weiqiang Wang

    7484-7492

    PDF
  • Diffusion Network Inference from Partial Observations

    Ting Gan, Keqi Han, Hao Huang, Shi Ying, Yunjun Gao, Zongpeng Li

    7493-7500

    PDF
  • Stabilizing Q Learning Via Soft Mellowmax Operator

    Yaozhong Gan, Zhe Zhang, Xiaoyang Tan

    7501-7509

    PDF
  • On the Convergence of Communication-Efficient Local SGD for Federated Learning

    Hongchang Gao, An Xu, Heng Huang

    7510-7518

    PDF
  • A Trace-restricted Kronecker-Factored Approximation to Natural Gradient

    Kaixin Gao, Xiaolei Liu, Zhenghai Huang, Min Wang, Zidong Wang, Dachuan Xu, Fan Yu

    7519-7527

    PDF
  • Addressing Domain Gap via Content Invariant Representation for Semantic Segmentation

    Li Gao, Lefei Zhang, Qian Zhang

    7528-7536

    PDF

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