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

No. 11: AAAI-21 Technical Tracks 11

AAAI Technical Track on Machine Learning IV

  • Adaptive Verifiable Training Using Pairwise Class Similarity

    Shiqi Wang, Kevin Eykholt, Taesung Lee, Jiyong Jang, Ian Molloy

    10201-10209

    PDF
  • Adaptive Algorithms for Multi-armed Bandit with Composite and Anonymous Feedback

    Siwei Wang, Haoyun Wang, Longbo Huang

    10210-10217

    PDF
  • Harmonized Dense Knowledge Distillation Training for Multi-Exit Architectures

    Xinglu Wang, Yingming Li

    10218-10226

    PDF
  • Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters

    Xudong Wang, Stella X. Yu

    10227-10235

    PDF
  • Deep Recurrent Belief Propagation Network for POMDPs

    Yuhui Wang, Xiaoyang Tan

    10236-10244

    PDF
  • Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis

    Zi Wang

    10245-10253

    PDF
  • Incremental Embedding Learning via Zero-Shot Translation

    Kun Wei, Cheng Deng, Xu Yang, Maosen Li

    10254-10262

    PDF
  • Gene Regulatory Network Inference as Relaxed Graph Matching

    Deborah Weighill, Marouen Ben Guebila, Camila Lopes-Ramos, Kimberly Glass, John Quackenbush, John Platig, Rebekka Burkholz

    10263-10272

    PDF
  • Unified Tensor Framework for Incomplete Multi-view Clustering and Missing-view Inferring

    Jie Wen, Zheng Zhang, Zhao Zhang, Lei Zhu, Lunke Fei, Bob Zhang, Yong Xu

    10273-10281

    PDF
  • GraphMix: Improved Training of GNNs for Semi-Supervised Learning

    Vikas Verma, Meng Qu, Kenji Kawaguchi, Alex Lamb, Yoshua Bengio, Juho Kannala, Jian Tang

    10024-10032

    PDF
  • PID-Based Approach to Adversarial Attacks

    Chen Wan, Biaohua Ye, Fangjun Huang

    10033-10040

    PDF
  • Nearest Neighbor Classifier Embedded Network for Active Learning

    Fang Wan, Tianning Yuan, Mengying Fu, Xiangyang Ji, Qingming Huang, Qixiang Ye

    10041-10048

    PDF
  • Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning

    Sheng Wan, Shirui Pan, Jian Yang, Chen Gong

    10049-10057

    PDF
  • Approximate Multiplication of Sparse Matrices with Limited Space

    Yuanyu Wan, Lijun Zhang

    10058-10066

    PDF
  • Projection-free Online Learning in Dynamic Environments

    Yuanyu Wan, Bo Xue, Lijun Zhang

    10067-10075

    PDF
  • Projection-free Online Learning over Strongly Convex Sets

    Yuanyu Wan, Lijun Zhang

    10076-10084

    PDF
  • Multi-View Information-Bottleneck Representation Learning

    Zhibin Wan, Changqing Zhang, Pengfei Zhu, Qinghua Hu

    10085-10092

    PDF
  • Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks

    Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong

    10093-10101

    PDF
  • Quantum Exploration Algorithms for Multi-Armed Bandits

    Daochen Wang, Xuchen You, Tongyang Li, Andrew M. Childs

    10102-10110

    PDF
  • Learning from Noisy Labels with Complementary Loss Functions

    Deng-Bao Wang, Yong Wen, Lujia Pan, Min-Ling Zhang

    10111-10119

    PDF
  • Debiasing Evaluations That Are Biased by Evaluations

    Jingyan Wang, Ivan Stelmakh, Yuting Wei, Nihar B. Shah

    10120-10128

    PDF
  • Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion

    Jinpeng Wang, Yuting Gao, Ke Li, Jianguo Hu, Xinyang Jiang, Xiaowei Guo, Rongrong Ji, Xing Sun

    10129-10137

    PDF
  • Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation

    Kaihong Wang, Chenhongyi Yang, Margrit Betke

    10138-10146

    PDF
  • Embedding Heterogeneous Networks into Hyperbolic Space Without Meta-path

    Lili Wang, Chongyang Gao, Chenghan Huang, Ruibo Liu, Weicheng Ma, Soroush Vosoughi

    10147-10155

    PDF
  • Adversarial Linear Contextual Bandits with Graph-Structured Side Observations

    Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao

    10156-10164

    PDF
  • Addressing Class Imbalance in Federated Learning

    Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu

    10165-10173

    PDF
  • Contrastive Transformation for Self-supervised Correspondence Learning

    Ning Wang, Wengang Zhou, Houqiang Li

    10174-10182

    PDF
  • Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model

    Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong

    10183-10191

    PDF
  • Learning with Group Noise

    Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han

    10192-10200

    PDF
  • Meta Learning for Causal Direction

    Jean-François Ton, Dino Sejdinovic, Kenji Fukumizu

    9897-9905

    PDF
  • Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior

    Anh Tong, Toan M Tran, Hung Bui, Jaesik Choi

    9906-9914

    PDF
  • Characterizing Deep Gaussian Processes via Nonlinear Recurrence Systems

    Anh Tong, Jaesik Choi

    9915-9922

    PDF
  • Iterative Bounding MDPs: Learning Interpretable Policies via Non-Interpretable Methods

    Nicholay Topin, Stephanie Milani, Fei Fang, Manuela Veloso

    9923-9931

    PDF
  • Differentially Private and Fair Deep Learning: A Lagrangian Dual Approach

    Cuong Tran, Ferdinando Fioretto, Pascal Van Hentenryck

    9932-9939

    PDF
  • Learning Adjustment Sets from Observational and Limited Experimental Data

    Sofia Triantafillou, Greg Cooper

    9940-9948

    PDF
  • *-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task

    Dmitry Tsarkov, Tibor Tihon, Nathan Scales, Nikola Momchev, Danila Sinopalnikov, Nathanael Schärli

    9949-9957

    PDF
  • Toward Robust Long Range Policy Transfer

    Wei-Cheng Tseng, Jin-Siang Lin, Yao-Min Feng, Min Sun

    9958-9966

    PDF
  • Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks

    Russell Tsuchida, Tim Pearce, Chris van der Heide, Fred Roosta, Marcus Gallagher

    9967-9977

    PDF
  • Deep Fusion Clustering Network

    Wenxuan Tu, Sihang Zhou, Xinwang Liu, Xifeng Guo, Zhiping Cai, En Zhu, Jieren Cheng

    9978-9987

    PDF
  • ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare

    Ali Burak Ünal, Mete Akgün, Nico Pfeifer

    9988-9996

    PDF
  • Expected Eligibility Traces

    Hado van Hasselt, Sephora Madjiheurem, Matteo Hessel, David Silver, André Barreto, Diana Borsa

    9997-10005

    PDF
  • Continual General Chunking Problem and SyncMap

    Danilo Vasconcellos Vargas, Toshitake Asabuki

    10006-10014

    PDF
  • Gated Linear Networks

    Joel Veness, Tor Lattimore, David Budden, Avishkar Bhoopchand, Christopher Mattern, Agnieszka Grabska-Barwinska, Eren Sezener, Jianan Wang, Peter Toth, Simon Schmitt, Marcus Hutter

    10015-10023

    PDF
  • Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization

    Wei Tao, Wei Li, Zhisong Pan, Qing Tao

    9843-9850

    PDF
  • Evolutionary Approach for AutoAugment Using the Thermodynamical Genetic Algorithm

    Akira Terauchi, Naoki Mori

    9851-9858

    PDF
  • Semi-Supervised Knowledge Amalgamation for Sequence Classification

    Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A Rundensteiner

    9859-9867

    PDF
  • Online Non-Monotone DR-Submodular Maximization

    Nguyễn Kim Thắng, Abhinav Srivastav

    9868-9876

    PDF
  • Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain

    Jinyu Tian, Jiantao Zhou, Yuanman Li, Jia Duan

    9877-9885

    PDF
  • Towards Trustworthy Predictions from Deep Neural Networks with Fast Adversarial Calibration

    Christian Tomani, Florian Buettner

    9886-9896

    PDF
  • DIBS: Diversity Inducing Information Bottleneck in Model Ensembles

    Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti

    9666-9674

    PDF
  • Differential Spectral Normalization (DSN) for PDE Discovery

    Chi Chiu So, Tsz On Li, Chufang Wu, Siu Pang Yung

    9675-9684

    PDF
  • UNIPoint: Universally Approximating Point Processes Intensities

    Alexander Soen, Alexander Mathews, Daniel Grixti-Cheng, Lexing Xie

    9685-9694

    PDF
  • Solving Common-Payoff Games with Approximate Policy Iteration

    Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot

    9695-9703

    PDF
  • Improving Gradient Flow with Unrolled Highway Expectation Maximization

    Chonghyuk Song, Eunseok Kim, Inwook Shim

    9704-9712

    PDF
  • Implicit Kernel Attention

    Kyungwoo Song, Yohan Jung, Dongjun Kim, Il-Chul Moon

    9713-9721

    PDF
  • Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks

    Yang Song, Qiyu Kang, Wee Peng Tay

    9722-9729

    PDF
  • Hierarchical Relational Inference

    Aleksandar Stanić, Sjoerd van Steenkiste, Jürgen Schmidhuber

    9730-9738

    PDF
  • ‘Less Than One’-Shot Learning: Learning N Classes From M < N Samples

    Ilia Sucholutsky,Matthias Schonlau

    9739-9746

    PDF
  • HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning

    Jiankai Sun, Rui Liu, Bolei Zhou

    9747-9755

    PDF
  • Stability and Generalization of Decentralized Stochastic Gradient Descent

    Tao Sun, Dongsheng Li, Bao Wang

    9756-9764

    PDF
  • TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL

    Yanchao Sun, Xiangyu Yin, Furong Huang

    9765-9773

    PDF
  • PAC Learning of Causal Trees with Latent Variables

    Prasad Tadepalli, Stuart J. Russell

    9774-9781

    PDF
  • Learning Dynamics Models with Stable Invariant Sets

    Naoya Takeishi, Yoshinobu Kawahara

    9782-9790

    PDF
  • Near-Optimal Regret Bounds for Contextual Combinatorial Semi-Bandits with Linear Payoff Functions

    Kei Takemura, Shinji Ito, Daisuke Hatano, Hanna Sumita, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi

    9791-9798

    PDF
  • Explicitly Modeled Attention Maps for Image Classification

    Andong Tan, Duc Tam Nguyen, Maximilian Dax, Matthias Nießner, Thomas Brox

    9799-9807

    PDF
  • Proxy Graph Matching with Proximal Matching Networks

    Hao-Ru Tan, Chuang Wang, Si-Tong Wu, Tie-Qiang Wang, Xu-Yao Zhang, Cheng-Lin Liu

    9808-9815

    PDF
  • Strategy and Benchmark for Converting Deep Q-Networks to Event-Driven Spiking Neural Networks

    Weihao Tan, Devdhar Patel, Robert Kozma

    9816-9824

    PDF
  • Empowering Adaptive Early-Exit Inference with Latency Awareness

    Xinrui Tan, Hongjia Li, Liming Wang, Xueqing Huang, Zhen Xu

    9825-9833

    PDF
  • Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction

    Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao

    9834-9842

    PDF
  • AdvantageNAS: Efficient Neural Architecture Search with Credit Assignment

    Rei Sato, Jun Sakuma, Youhei Akimoto

    9489-9496

    PDF
  • Active Feature Selection for the Mutual Information Criterion

    Shachar Schnapp, Sivan Sabato

    9497-9504

    PDF
  • Learning Precise Temporal Point Event Detection with Misaligned Labels

    Julien Schroeter, Kirill Sidorov, David Marshall

    9505-9514

    PDF
  • Multi-type Disentanglement without Adversarial Training

    Lei Sha, Thomas Lukasiewicz

    9515-9523

    PDF
  • Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks

    Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias

    9524-9532

    PDF
  • Right for Better Reasons: Training Differentiable Models by Constraining their Influence Functions

    Xiaoting Shao, Arseny Skryagin, Wolfgang Stammer, Patrick Schramowski, Kristian Kersting

    9533-9540

    PDF
  • Meta-Learning Effective Exploration Strategies for Contextual Bandits

    Amr Sharaf, Hal Daumé III

    9541-9548

    PDF
  • Membership Privacy for Machine Learning Models Through Knowledge Transfer

    Virat Shejwalkar, Amir Houmansadr

    9549-9557

    PDF
  • Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation

    Junhong Shen, Lin F. Yang

    9558-9566

    PDF
  • Time Series Anomaly Detection with Multiresolution Ensemble Decoding

    Lifeng Shen, Zhongzhong Yu, Qianli Ma, James T. Kwok

    9567-9575

    PDF
  • STL-SGD: Speeding Up Local SGD with Stagewise Communication Period

    Shuheng Shen, Yifei Cheng, Jingchang Liu, Linli Xu

    9576-9584

    PDF
  • PDO-eS2CNNs: Partial Differential Operator Based Equivariant Spherical CNNs

    Zhengyang Shen, Tiancheng Shen, Zhouchen Lin, Jinwen Ma

    9585-9593

    PDF
  • Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning

    Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng

    9594-9602

    PDF
  • Federated Multi-Armed Bandits

    Chengshuai Shi, Cong Shen

    9603-9611

    PDF
  • Raven’s Progressive Matrices Completion with Latent Gaussian Process Priors

    Fan Shi, Bin Li, Xiangyang Xue

    9612-9620

    PDF
  • Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization

    Wanli Shi, Bin Gu

    9621-9629

    PDF
  • Online Class-Incremental Continual Learning with Adversarial Shapley Value

    Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang

    9630-9638

    PDF
  • Scalable Affinity Propagation for Massive Datasets

    Hiroaki Shiokawa

    9639-9646

    PDF
  • Interpretable Sequence Classification via Discrete Optimization

    Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith

    9647-9656

    PDF
  • Towards Domain Invariant Single Image Dehazing

    Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim

    9657-9665

    PDF
  • AutoDropout: Learning Dropout Patterns to Regularize Deep Networks

    Hieu Pham, Quoc Le

    9351-9359

    PDF
  • Fast Multi-view Discrete Clustering with Anchor Graphs

    Qianyao Qiang, Bin Zhang, Fei Wang, Feiping Nie

    9360-9367

    PDF
  • Relation-aware Graph Attention Model with Adaptive Self-adversarial Training

    Xiao Qin, Nasrullah Sheikh, Berthold Reinwald, Lingfei Wu

    9368-9376

    PDF
  • Uncertainty-Aware Policy Optimization: A Robust, Adaptive Trust Region Approach

    James Queeney, Ioannis Ch. Paschalidis, Christos G. Cassandras

    9377-9385

    PDF
  • Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection

    Edward Raff, William Fleshman, Richard Zak, Hyrum S. Anderson, Bobby Filar, Mark McLean

    9386-9394

    PDF
  • Online DR-Submodular Maximization: Minimizing Regret and Constraint Violation

    Prasanna Raut, Omid Sadeghi, Maryam Fazel

    9395-9402

    PDF
  • Improving Generative Moment Matching Networks with Distribution Partition

    Yong Ren, Yucen Luo, Jun Zhu

    9403-9410

    PDF
  • Multiple Kernel Clustering with Kernel k-Means Coupled Graph Tensor Learning

    Zhenwen Ren, Quansen Sun, Dong Wei

    9411-9418

    PDF
  • Robust Fairness Under Covariate Shift

    Ashkan Rezaei, Anqi Liu, Omid Memarrast, Brian D. Ziebart

    9419-9427

    PDF
  • Shuffling Recurrent Neural Networks

    Michael Rotman, Lior Wolf

    9428-9435

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

    Litu Rout

    9436-9444

    PDF
  • Adversarial Permutation Guided Node Representations for Link Prediction

    Indradyumna Roy, Abir De, Soumen Chakrabarti

    9445-9453

    PDF
  • Visual Transfer For Reinforcement Learning Via Wasserstein Domain Confusion

    Josh Roy, George D. Konidaris

    9454-9462

    PDF
  • Anytime Inference with Distilled Hierarchical Neural Ensembles

    Adria Ruiz, Jakob Verbeek

    9463-9471

    PDF
  • Inverse Reinforcement Learning with Explicit Policy Estimates

    Navyata Sanghvi, Shinnosuke Usami, Mohit Sharma, Joachim Groeger, Kris Kitani

    9472-9480

    PDF
  • A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization

    Adepu Ravi Sankar, Yash Khasbage, Rahul Vigneswaran, Vineeth N Balasubramanian

    9481-9488

    PDF

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