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Poster
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Partial Label Unsupervised Domain Adaptation with Class-Prototype Alignment
Yan Yan · Yuhong Guo
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Poster
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Decompositional Generation Process for Instance-Dependent Partial Label Learning
Congyu Qiao · Ning Xu · Xin Geng
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Poster
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Automated Data Augmentations for Graph Classification
Youzhi Luo · Michael McThrow · Wing Yee Au · Tao Komikado · Kanji Uchino · Koji Maruhashi · Shuiwang Ji
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Poster
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Masked Unsupervised Self-training for Label-free Image Classification
Junnan Li · Silvio Savarese · Steven Hoi
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Poster
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Wed 7:30
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Label-free Concept Bottleneck Models
Tuomas Oikarinen · Subhro Das · Lam Nguyen · Tsui-Wei Weng
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Poster
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Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
Ziyu Jiang · Yinpeng Chen · mengchen liu · Dongdong Chen · Xiyang Dai · Lu Yuan · Zicheng Liu · Zhangyang Wang
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Poster
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Mutual Partial Label Learning with Competitive Label Noise
Yan Yan · Yuhong Guo
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Poster
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Long-Tailed Partial Label Learning via Dynamic Rebalancing
Feng Hong · Jiangchao Yao · Zhihan Zhou · Ya Zhang · Yanfeng Wang
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Workshop
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ActiveLab: Active Learning with Re-Labeling by Multiple Annotators
Hui Wen Goh · Jonas Mueller
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Poster
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How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study
Yiwen Kou · Zixiang Chen · Yuan Cao · Quanquan Gu
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Poster
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Mon 2:30
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Continuous pseudo-labeling from the start
Dan Berrebbi · Ronan Collobert · Samy Bengio · Navdeep Jaitly · Tatiana Likhomanenko
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Poster
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InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
Zhuoran Yu · Yin Li · Yong Jae Lee
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