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Poster
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Wed 10:30 |
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation David Berthelot · Rebecca Roelofs · Kihyuk Sohn · Nicholas Carlini · Alexey Kurakin |
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Poster
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Tue 18:30 |
Learning to Annotate Part Segmentation with Gradient Matching Yu Yang · Xiaotian Cheng · Hakan Bilen · Xiangyang Ji |
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Poster
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Tue 18:30 |
Open-World Semi-Supervised Learning Kaidi Cao · Maria Brbic · Jure Leskovec |
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Poster
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Mon 18:30 |
Surreal-GAN:Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns Zhijian Yang · Junhao Wen · Christos Davatzikos |
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Poster
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Mon 2:30 |
Semi-relaxed Gromov-Wasserstein divergence and applications on graphs Cédric Vincent-Cuaz · Rémi Flamary · Marco Corneli · Titouan Vayer · Nicolas Courty |
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Poster
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Tue 18:30 |
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning Zhaowei Zhu · Tianyi Luo · Yang Liu |
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Poster
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Mon 2:30 |
Bootstrapping Semantic Segmentation with Regional Contrast Shikun Liu · Shuaifeng Zhi · Edward Johns · Andrew Davison |
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Spotlight
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Tue 18:30 |
Towards Understanding the Data Dependency of Mixup-style Training Muthu Chidambaram · Xiang Wang · Yuzheng Hu · Chenwei Wu · Rong Ge |
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Poster
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Tue 18:30 |
Towards Understanding the Data Dependency of Mixup-style Training Muthu Chidambaram · Xiang Wang · Yuzheng Hu · Chenwei Wu · Rong Ge |
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Poster
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Mon 18:30 |
On Non-Random Missing Labels in Semi-Supervised Learning Xinting Hu · Yulei Niu · Chunyan Miao · Xian-Sheng Hua · Hanwang Zhang |
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Poster
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Wed 18:30 |
Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization Can Wang · Sheng Jin · Yingda Guan · Wentao Liu · Chen Qian · Ping Luo · Wanli Ouyang |
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Poster
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Tue 18:30 |
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning Jongjin Park · Younggyo Seo · Jinwoo Shin · Honglak Lee · Pieter Abbeel · Kimin Lee |