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• Contrastive Transformation for Self-supervised Correspondence Learning

  Ning Wang, Wengang Zhou, Houqiang Li

  10174-10182

  2021-05-18

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

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

  10183-10191

  2021-05-18

• Learning with Group Noise

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

  10192-10200

  2021-05-18

• Adaptive Verifiable Training Using Pairwise Class Similarity

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

  10201-10209

  2021-05-18

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

  Siwei Wang, Haoyun Wang, Longbo Huang

  10210-10217

  2021-05-18

• Harmonized Dense Knowledge Distillation Training for Multi-Exit Architectures

  Xinglu Wang, Yingming Li

  10218-10226

  2021-05-18

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

  Xudong Wang, Stella X. Yu

  10227-10235

  2021-05-18

• Deep Recurrent Belief Propagation Network for POMDPs

  Yuhui Wang, Xiaoyang Tan

  10236-10244

  2021-05-18

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

  Zi Wang

  10245-10253

  2021-05-18

• Incremental Embedding Learning via Zero-Shot Translation

  Kun Wei, Cheng Deng, Xu Yang, Maosen Li

  10254-10262

  2021-05-18

• 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

  2021-05-18

• 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

  2021-05-18

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

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

  10283-10292

  2021-05-18

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

  Colin White, Willie Neiswanger, Yash Savani

  10293-10301

  2021-05-18

• Peer Collaborative Learning for Online Knowledge Distillation

  Guile Wu, Shaogang Gong

  10302-10310

  2021-05-18

• Self-Supervised Attention-Aware Reinforcement Learning

  Haiping Wu, Khimya Khetarpal, Doina Precup

  10311-10319

  2021-05-18

• 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

  2021-05-18

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

  Huimin Wu, Zhengmian Hu, Bin Gu

  10329-10337

  2021-05-18

• Fine-grained Generalization Analysis of Vector-Valued Learning

  Liang Wu, Antoine Ledent, Yunwen Lei, Marius Kloft

  10338-10346

  2021-05-18

• Frugal Optimization for Cost-related Hyperparameters

  Qingyun Wu, Chi Wang, Silu Huang

  10347-10354

  2021-05-18

• 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

  2021-05-18

• 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

  2021-05-18

• Fractal Autoencoders for Feature Selection

  Xinxing Wu, Qiang Cheng

  10370-10378

  2021-05-18

• Neural Architecture Search as Sparse Supernet

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

  10379-10387

  2021-05-18

• Learning to Purify Noisy Labels via Meta Soft Label Corrector

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

  10388-10396

  2021-05-18