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Poster
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Thu 14:00
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DaDA: Distortion-aware Domain Adaptation for Unsupervised Semantic Segmentation
Sujin Jang · Joohan Na · Dokwan Oh
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Poster
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Tue 9:00
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Okapi: Generalising Better by Making Statistical Matches Match
Myles Bartlett · Sara Romiti · Viktoriia Sharmanska · Novi Quadrianto
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Workshop
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Domain-Adjusted Regression or: ERM May Already Learn Features Sufficient for Out-of-Distribution Generalization
Elan Rosenfeld · Pradeep Ravikumar · Andrej Risteski
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Poster
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Wed 9:00
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Provable Defense against Backdoor Policies in Reinforcement Learning
Shubham Bharti · Xuezhou Zhang · Adish Singla · Jerry Zhu
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Workshop
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Adversarial Robustness of Deep Inverse Reinforcement Learning
Ezgi Korkmaz
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Workshop
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Deep Reinforcement Learning Policies Learn Shared Adversarial Directions Across MDPs
Ezgi Korkmaz
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Workshop
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A Scalable Technique for Weak-Supervised Learning with Domain Constraints
Sudhir Agarwal · Anu Sreepathy · Lalla M
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Poster
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ZIN: When and How to Learn Invariance Without Environment Partition?
Yong Lin · Shengyu Zhu · Lu Tan · Peng Cui
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Poster
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Thu 14:00
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Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
Ihsan Ullah · Dustin Carrión-Ojeda · Sergio Escalera · Isabelle Guyon · Mike Huisman · Felix Mohr · Jan N. van Rijn · Haozhe Sun · Joaquin Vanschoren · Phan Anh Vu
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Poster
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Thu 9:00
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Unsupervised Learning under Latent Label Shift
Manley Roberts · Pranav Mani · Saurabh Garg · Zachary Lipton
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Poster
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Wed 14:00
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Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain
Yiting Chen · Qibing Ren · Junchi Yan
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Poster
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MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification
Zhenbin Wang · Mao Ye · Xiatian Zhu · Liuhan Peng · Liang Tian · Yingying Zhu
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