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• Multi-Proxy Wasserstein Classifier for Image Classification

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

  8618-8626

  2021-05-18

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

  Bingyan Liu, Yifeng Cai, Yao Guo, Xiangqun Chen

  8627-8634

  2021-05-18

• 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

  2021-05-18

• Unchain the Search Space with Hierarchical Differentiable Architecture Search

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

  8644-8652

  2021-05-18

• Overcoming Catastrophic Forgetting in Graph Neural Networks

  Huihui Liu, Yiding Yang, Xinchao Wang

  8653-8661

  2021-05-18

• Stable Adversarial Learning under Distributional Shifts

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

  8662-8670

  2021-05-18

• Hierarchical Multiple Kernel Clustering

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

  8671-8679

  2021-05-18

• Dynamically Grown Generative Adversarial Networks

  Lanlan Liu, Yuting Zhang, Jia Deng, Stefano Soatto

  8680-8687

  2021-05-18

• FLAME: Differentially Private Federated Learning in the Shuffle Model

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

  8688-8696

  2021-05-18

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

  Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu

  8697-8705

  2021-05-18

• 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

  2021-05-18

• ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques

  Yuanxin Liu, Zheng Lin, Fengcheng Yuan

  8715-8722

  2021-05-18

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

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

  8723-8731

  2021-05-18

• Learning from eXtreme Bandit Feedback

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

  8732-8740

  2021-05-18

• Improving Causal Discovery By Optimal Bayesian Network Learning

  Ni Y Lu, Kun Zhang, Changhe Yuan

  8741-8748

  2021-05-18

• Stochastic Graphical Bandits with Adversarial Corruptions

  Shiyin Lu, Guanghui Wang, Lijun Zhang

  8749-8757

  2021-05-18

• Stochastic Bandits with Graph Feedback in Non-Stationary Environments

  Shiyin Lu, Yao Hu, Lijun Zhang

  8758-8766

  2021-05-18

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

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

  8767-8775

  2021-05-18

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

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

  8776-8783

  2021-05-18

• 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

  2021-05-18

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

  Luo Luo, Cheng Chen, Guangzeng Xie, Haishan Ye

  8793-8800

  2021-05-18

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

  Xiangde Luo, Jieneng Chen, Tao Song, Guotai Wang

  8801-8809

  2021-05-18

• Adaptive Knowledge Driven Regularization for Deep Neural Networks

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

  8810-8818

  2021-05-18

• Multi-Domain Multi-Task Rehearsal for Lifelong Learning

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

  8819-8827

  2021-05-18

• On the Adequacy of Untuned Warmup for Adaptive Optimization

  Jerry Ma, Denis Yarats

  8828-8836

  2021-05-18