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Poster
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Thu 9:00
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Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization
Yivan Zhang · Gang Niu · Masashi Sugiyama
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Oral Session
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Tue 18:00
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Deep Learning Algorithms and Applications
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Workshop
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Model Mis-specification and Algorithmic Bias
Yangfan Liang · Peter Zhang
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Spotlight
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Wed 6:35
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Learning from Noisy Labels with No Change to the Training Process
Mingyuan Zhang · Jane Lee · Shivani Agarwal
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Poster
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Wed 9:00
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Learning from Noisy Labels with No Change to the Training Process
Mingyuan Zhang · Jane Lee · Shivani Agarwal
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Spotlight
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Thu 17:45
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LogME: Practical Assessment of Pre-trained Models for Transfer Learning
Kaichao You · Yong Liu · Jianmin Wang · Mingsheng Long
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Poster
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Thu 21:00
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LogME: Practical Assessment of Pre-trained Models for Transfer Learning
Kaichao You · Yong Liu · Jianmin Wang · Mingsheng Long
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Spotlight
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Thu 19:25
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A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning
Nikunj Umesh Saunshi · Arushi Gupta · Wei Hu
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Poster
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Thu 21:00
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A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning
Nikunj Umesh Saunshi · Arushi Gupta · Wei Hu
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Workshop
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Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation
Honghao Wei · Xin Liu · Lei Ying
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Poster
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Thu 9:00
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Representation Subspace Distance for Domain Adaptation Regression
Xinyang Chen · Sinan Wang · Jianmin Wang · Mingsheng Long
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Poster
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Wed 21:00
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Online Unrelated Machine Load Balancing with Predictions Revisited
Shi Li · Jiayi Xian
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