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Workshop
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Fri 12:30
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Better Adaptation to Distribution Shifts with Robust Pseudo-Labeling
Evgenia Rusak
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Workshop
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Fri 12:45
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Better Adaptation to Distribution Shifts with Robust Pseudo-Labeling - Q&A
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Poster
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Tue 17:00
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Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration
Jaekyeom Kim · Minjung Kim · Dongyeon Woo · Gunhee Kim
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Workshop
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Incorporating Label Uncertainty in Intrinsic Robustness Measures
Xiao Zhang
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Workshop
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Fri 11:48
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Towards Robustness to Label Noise in Text Classification via Noise Modeling
Siddhant Garg
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Poster
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Mon 17:00
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When Optimizing f-Divergence is Robust with Label Noise
Jiaheng Wei · Yang Liu
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Poster
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Wed 1:00
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Self-supervised Adversarial Robustness for the Low-label, High-data Regime
Sven Gowal · Po-Sen Huang · Aaron v den · Timothy A Mann · Pushmeet Kohli
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Poster
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Mon 17:00
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Robust Curriculum Learning: from clean label detection to noisy label self-correction
Tianyi Zhou · Shengjie Wang · Jeff Bilmes
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Poster
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Tue 1:00
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Coping with Label Shift via Distributionally Robust Optimisation
Jingzhao Zhang · Aditya Krishna Menon · Andreas Veit · Srinadh Bhojanapalli · Sanjiv Kumar · Suvrit Sra
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Poster
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Thu 9:00
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Robust early-learning: Hindering the memorization of noisy labels
Xiaobo Xia · Tongliang Liu · Bo Han · Chen Gong · Nannan Wang · Zongyuan Ge · Yi Chang
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Poster
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Mon 17:00
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Tilted Empirical Risk Minimization
Tian Li · Ahmad Beirami · Maziar Sanjabi · Virginia Smith
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Spotlight
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Tue 4:48
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Noise against noise: stochastic label noise helps combat inherent label noise
Pengfei Chen · Guangyong Chen · Junjie Ye · jingwei zhao · Pheng-Ann Heng
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