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

No. 10: AAAI-21 Technical Tracks 10

AAAI Technical Track on Machine Learning III

  • Tempered Sigmoid Activations for Deep Learning with Differential Privacy

    Nicolas Papernot, Abhradeep Thakurta, Shuang Song, Steve Chien, Úlfar Erlingsson

    9312-9321

    PDF
  • Vector Quantized Bayesian Neural Network Inference for Data Streams

    Namuk Park, Taekyu Lee, Songkuk Kim

    9322-9330

    PDF
  • Maximum Roaming Multi-Task Learning

    Lucas Pascal, Pietro Michiardi, Xavier Bost, Benoit Huet, Maria A. Zuluaga

    9331-9341

    PDF
  • Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection

    Matteo Pegoraro, Mario Beraha

    9342-9349

    PDF
  • Top-k Ranking Bayesian Optimization

    Quoc Phong Nguyen, Sebastian Tay, Bryan Kian Hsiang Low, Patrick Jaillet

    9135-9143

    PDF
  • Distributional Reinforcement Learning via Moment Matching

    Thanh Nguyen-Tang, Sunil Gupta, Svetha Venkatesh

    9144-9152

    PDF
  • Precision-based Boosting

    Mohammad Hossein Nikravan, Marjan Movahedan, Sandra Zilles

    9153-9160

    PDF
  • Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries

    Kun-Peng Ning, Lue Tao, Songcan Chen, Sheng-Jun Huang

    9161-9169

    PDF
  • Learning of Structurally Unambiguous Probabilistic Grammars

    Dolav Nitay, Dana Fisman, Michal Ziv-Ukelson

    9170-9178

    PDF
  • RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices

    Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren

    9179-9187

    PDF
  • Warm Starting CMA-ES for Hyperparameter Optimization

    Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi

    9188-9196

    PDF
  • Inverse Reinforcement Learning From Like-Minded Teachers

    Ritesh Noothigattu, Tom Yan, Ariel D. Procaccia

    9197-9204

    PDF
  • Multinomial Logit Contextual Bandits: Provable Optimality and Practicality

    Min-hwan Oh, Garud Iyengar

    9205-9213

    PDF
  • Learning Deep Generative Models for Queuing Systems

    Cesar Ojeda, Kostadin Cvejoski, Bodgan Georgiev, Christian Bauckhage, Jannis Schuecker, Ramses J. Sanchez

    9214-9222

    PDF
  • OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport

    Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto

    9223-9232

    PDF
  • FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting

    Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark Coates

    9233-9241

    PDF
  • Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting

    Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio

    9242-9250

    PDF
  • Augmented Experiment in Material Engineering Using Machine Learning

    Aomar Osmani, Massinissa Hamidi, Salah Bouhouche

    9251-9258

    PDF
  • Second Order Techniques for Learning Time-series with Structural Breaks

    Takayuki Osogami

    9259-9267

    PDF
  • Defending against Backdoors in Federated Learning with Robust Learning Rate

    Mustafa Safa Ozdayi, Murat Kantarcioglu, Yulia R. Gel

    9268-9276

    PDF
  • Robustness Guarantees for Mode Estimation with an Application to Bandits

    Aldo Pacchiano, Heinrich Jiang, Michael I. Jordan

    9277-9284

    PDF
  • Disentangled Information Bottleneck

    Ziqi Pan, Li Niu, Jianfu Zhang, Liqing Zhang

    9285-9293

    PDF
  • NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search

    Rameswar Panda, Michele Merler, Mayoore S Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu Richard Chen, Minsik Cho, Rogerio Feris, David Kung, Bishwaranjan Bhattacharjee

    9294-9302

    PDF
  • Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation

    Bo Pang, Zhong-Ping Jiang

    9303-9311

    PDF
  • Policy Optimization as Online Learning with Mediator Feedback

    Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro, Marcello Restelli

    8958-8966

    PDF
  • Consistency and Finite Sample Behavior of Binary Class Probability Estimation

    Alexander Mey, Marco Loog

    8967-8974

    PDF
  • Discovering Fully Oriented Causal Networks

    Osman A Mian, Alexander Marx, Jilles Vreeken

    8975-8982

    PDF
  • Generative Semi-supervised Learning for Multivariate Time Series Imputation

    Xiaoye Miao, Yangyang Wu, Jun Wang, Yunjun Gao, Xudong Mao, Jianwei Yin

    8983-8991

    PDF
  • A General Class of Transfer Learning Regression without Implementation Cost

    Shunya Minami, Song Liu, Stephen Wu, Kenji Fukumizu, Ryo Yoshida

    8992-8999

    PDF
  • Scheduling of Time-Varying Workloads Using Reinforcement Learning

    Shanka Subhra Mondal, Nikhil Sheoran, Subrata Mitra

    9000-9008

    PDF
  • Improved Mutual Information Estimation

    Youssef Mroueh, Igor Melnyk, Pierre Dognin, Jarret Ross, Tom Sercu

    9009-9017

    PDF
  • Text-based RL Agents with Commonsense Knowledge: New Challenges, Environments and Baselines

    Keerthiram Murugesan, Mattia Atzeni, Pavan Kapanipathi, Pushkar Shukla, Sadhana Kumaravel, Gerald Tesauro, Kartik Talamadupula, Mrinmaya Sachan, Murray Campbell

    9018-9027

    PDF
  • Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate

    Mirco Mutti, Lorenzo Pratissoli, Marcello Restelli

    9028-9036

    PDF
  • Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent

    Giorgi Nadiradze, Ilia Markov, Bapi Chatterjee, Vyacheslav Kungurtsev, Dan Alistarh

    9037-9045

    PDF
  • Game of Gradients: Mitigating Irrelevant Clients in Federated Learning

    Lokesh Nagalapatti, Ramasuri Narayanam

    9046-9054

    PDF
  • Objective-Based Hierarchical Clustering of Deep Embedding Vectors

    Stanislav Naumov, Grigory Yaroslavtsev, Dmitrii Avdiukhin

    9055-9063

    PDF
  • 5* Knowledge Graph Embeddings with Projective Transformations

    Mojtaba Nayyeri, Sahar Vahdati, Can Aykul, Jens Lehmann

    9064-9072

    PDF
  • Advice-Guided Reinforcement Learning in a non-Markovian Environment

    Daniel Neider, Jean-Raphael Gaglione, Ivan Gavran, Ufuk Topcu, Bo Wu, Zhe Xu

    9073-9080

    PDF
  • Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning

    A. Tuan Nguyen, Hyewon Jeong, Eunho Yang, Sung Ju Hwang

    9081-9091

    PDF
  • Modular Graph Transformer Networks for Multi-Label Image Classification

    Hoang D. Nguyen, Xuan-Son Vu, Duc-Trong Le

    9092-9100

    PDF
  • Differentially Private k-Means via Exponential Mechanism and Max Cover

    Huy L. Nguyen, Anamay Chaturvedi, Eric Z Xu

    9101-9108

    PDF
  • Minimum Robust Multi-Submodular Cover for Fairness

    Lan N. Nguyen, My T. Thai

    9109-9116

    PDF
  • Temporal Latent Auto-Encoder: A Method for Probabilistic Multivariate Time Series Forecasting

    Nam Nguyen, Brian Quanz

    9117-9125

    PDF
  • An Information-Theoretic Framework for Unifying Active Learning Problems

    Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

    9126-9134

    PDF
  • Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors

    Su Lu, Han-Jia Ye, De-Chuan Zhan

    8776-8783

    PDF
  • PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector

    Chuan Luo, Pu Zhao, Chen Chen, Bo Qiao, Chao Du, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin

    8784-8792

    PDF
  • Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices

    Luo Luo, Cheng Chen, Guangzeng Xie, Haishan Ye

    8793-8800

    PDF
  • Semi-supervised Medical Image Segmentation through Dual-task Consistency

    Xiangde Luo, Jieneng Chen, Tao Song, Guotai Wang

    8801-8809

    PDF
  • Adaptive Knowledge Driven Regularization for Deep Neural Networks

    Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang

    8810-8818

    PDF
  • Multi-Domain Multi-Task Rehearsal for Lifelong Learning

    Fan Lyu, Shuai Wang, Wei Feng, Zihan Ye, Fuyuan Hu, Song Wang

    8819-8827

    PDF
  • On the Adequacy of Untuned Warmup for Adaptive Optimization

    Jerry Ma, Denis Yarats

    8828-8836

    PDF
  • Learning Representations for Incomplete Time Series Clustering

    Qianli Ma, Chuxin Chen, Sen Li, Garrison W. Cottrell

    8837-8846

    PDF
  • Joint-Label Learning by Dual Augmentation for Time Series Classification

    Qianli Ma, Zhenjing Zheng, Jiawei Zheng, Sen Li, Wanqing Zhuang, Garrison W. Cottrell

    8847-8855

    PDF
  • Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport

    Tengfei Ma, Jie Chen

    8856-8864

    PDF
  • Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems

    Yuzhe Ma, Jon A Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu

    8865-8873

    PDF
  • Exact Reduction of Huge Action Spaces in General Reinforcement Learning

    Sultan J. Majeed, Marcus Hutter

    8874-8883

    PDF
  • Composite Adversarial Attacks

    Xiaofeng Mao, Yuefeng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue

    8884-8892

    PDF
  • Deep Mutual Information Maximin for Cross-Modal Clustering

    Yiqiao Mao, Xiaoqiang Yan, Qiang Guo, Yangdong Ye

    8893-8901

    PDF
  • Searching for Machine Learning Pipelines Using a Context-Free Grammar

    Radu Marinescu, Akihiro Kishimoto, Parikshit Ram, Ambrish Rawat, Martin Wistuba, Paulito P. Palmes, Adi Botea

    8902-8911

    PDF
  • Scalable Graph Networks for Particle Simulations

    Karolis Martinkus, Aurelien Lucchi, Nathanaël Perraudin

    8912-8920

    PDF
  • Infinite Gaussian Mixture Modeling with an Improved Estimation of the Number of Clusters

    Avi Matza, Yuval Bistritz

    8921-8929

    PDF
  • Exacerbating Algorithmic Bias through Fairness Attacks

    Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan

    8930-8938

    PDF
  • Physarum Powered Differentiable Linear Programming Layers and Applications

    Zihang Meng, Sathya N. Ravi, Vikas Singh

    8939-8949

    PDF
  • Lenient Regret for Multi-Armed Bandits

    Nadav Merlis, Shie Mannor

    8950-8957

    PDF
  • Class-Attentive Diffusion Network for Semi-Supervised Classification

    Jongin Lim, Daeho Um, Hyung Jin Chang, Dae Ung Jo, Jin Young Choi

    8601-8609

    PDF
  • Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning

    Feng Lin, Haohang Xu, Houqiang Li, Hongkai Xiong, Guo-Jun Qi

    8610-8617

    PDF
  • Multi-Proxy Wasserstein Classifier for Image Classification

    Benlin Liu, Yongming Rao, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh

    8618-8626

    PDF
  • TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning

    Bingyan Liu, Yifeng Cai, Yao Guo, Xiangqun Chen

    8627-8634

    PDF
  • Learning a Few-shot Embedding Model with Contrastive Learning

    Chen Liu, Yanwei Fu, Chengming Xu, Siqian Yang, Jilin Li, Chengjie Wang, Li Zhang

    8635-8643

    PDF
  • Unchain the Search Space with Hierarchical Differentiable Architecture Search

    Guanting Liu, Yujie Zhong, Sheng Guo, Matthew R. Scott, Weilin Huang

    8644-8652

    PDF
  • Overcoming Catastrophic Forgetting in Graph Neural Networks

    Huihui Liu, Yiding Yang, Xinchao Wang

    8653-8661

    PDF
  • Stable Adversarial Learning under Distributional Shifts

    Jiashuo Liu, Zheyan Shen, Peng Cui, Linjun Zhou, Kun Kuang, Bo Li, Yishi Lin

    8662-8670

    PDF
  • Hierarchical Multiple Kernel Clustering

    Jiyuan Liu, Xinwang Liu, Siwei Wang, Sihang Zhou, Yuexiang Yang

    8671-8679

    PDF
  • Dynamically Grown Generative Adversarial Networks

    Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto

    8680-8687

    PDF
  • FLAME: Differentially Private Federated Learning in the Shuffle Model

    Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa

    8688-8696

    PDF
  • Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision

    Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu

    8697-8705

    PDF
  • Train a One-Million-Way Instance Classifier for Unsupervised Visual Representation Learning

    Yu Liu, Lianghua Huang, Pan Pan, Bin Wang, Yinghui Xu, Rong Jin

    8706-8714

    PDF
  • ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques

    Yuanxin Liu, Zheng Lin, Fengcheng Yuan

    8715-8722

    PDF
  • Task Aligned Generative Meta-learning for Zero-shot Learning

    Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long

    8723-8731

    PDF
  • Learning from eXtreme Bandit Feedback

    Romain Lopez, Inderjit S. Dhillon, Michael I. Jordan

    8732-8740

    PDF
  • Improving Causal Discovery By Optimal Bayesian Network Learning

    Ni Y Lu, Kun Zhang, Changhe Yuan

    8741-8748

    PDF
  • Stochastic Graphical Bandits with Adversarial Corruptions

    Shiyin Lu, Guanghui Wang, Lijun Zhang

    8749-8757

    PDF
  • Stochastic Bandits with Graph Feedback in Non-Stationary Environments

    Shiyin Lu, Yao Hu, Lijun Zhang

    8758-8766

    PDF
  • Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning

    Songtao Lu, Kaiqing Zhang, Tianyi Chen, Tamer Başar, Lior Horesh

    8767-8775

    PDF
  • Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting

    Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian

    8420-8428

    PDF
  • Bayesian Distributional Policy Gradients

    Luchen Li, A. Aldo Faisal

    8429-8437

    PDF
  • Learning Graph Neural Networks with Approximate Gradient Descent

    Qunwei Li, Shaofeng Zou, Wenliang Zhong

    8438-8446

    PDF
  • Multi-View Representation Learning with Manifold Smoothness

    Shu Li, Wei Wang, Wen-Tao Li, Pan Chen

    8447-8454

    PDF
  • Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation

    Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin

    8455-8464

    PDF
  • Sublinear Classical and Quantum Algorithms for General Matrix Games

    Tongyang Li, Chunhao Wang, Shouvanik Chakrabarti, Xiaodi Wu

    8465-8473

    PDF
  • A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data

    Xianfeng Li, Weijie Chen, Di Xie, Shicai Yang, Peng Yuan, Shiliang Pu, Yueting Zhuang

    8474-8481

    PDF
  • Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints

    Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu

    8482-8490

    PDF
  • MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements

    Yang Li, Yu Shen, Jiawei Jiang, Jinyang Gao, Ce Zhang, Bin Cui

    8491-8500

    PDF
  • Learned Extragradient ISTA with Interpretable Residual Structures for Sparse Coding

    Yangyang Li, Lin Kong, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Zhouchen Lin

    8501-8509

    PDF
  • One-shot Graph Neural Architecture Search with Dynamic Search Space

    Yanxi Li, Zean Wen, Yunhe Wang, Chang Xu

    8510-8517

    PDF
  • Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network

    Yehao Li, Yingwei Pan, Ting Yao, Jingwen Chen, Tao Mei

    8518-8526

    PDF
  • Online Optimal Control with Affine Constraints

    Yingying Li, Subhro Das, Na Li

    8527-8537

    PDF
  • TRQ: Ternary Neural Networks With Residual Quantization

    Yue Li, Wenrui Ding, Chunlei Liu, Baochang Zhang, Guodong Guo

    8538-8546

    PDF
  • Contrastive Clustering

    Yunfan Li, Peng Hu, Zitao Liu, Dezhong Peng, Joey Tianyi Zhou, Xi Peng

    8547-8555

    PDF
  • Longitudinal Deep Kernel Gaussian Process Regression

    Junjie Liang, Yanting Wu, Dongkuan Xu, Vasant G Honavar

    8556-8564

    PDF
  • Large Norms of CNN Layers Do Not Hurt Adversarial Robustness

    Youwei Liang, Dong Huang

    8565-8573

    PDF
  • Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding

    Siyu Liao, Chunhua Deng, Miao Yin, Bo Yuan

    8574-8582

    PDF
  • From Label Smoothing to Label Relaxation

    Julian Lienen, Eyke Hüllermeier

    8583-8591

    PDF
  • Sample Selection for Universal Domain Adaptation

    Omri Lifshitz, Lior Wolf

    8592-8600

    PDF

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