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Poster
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Domain Generalization by Learning and Removing Domain-specific Features
Yu Ding · Lei Wang · Bin Liang · Shuming Liang · Yang Wang · Fang Chen
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Poster
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Wed 9:00
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Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments
Yining Chen · Elan Rosenfeld · Mark Sellke · Tengyu Ma · Andrej Risteski
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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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Tue 14:00
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Learning Generalizable Part-based Feature Representation for 3D Point Clouds
Xin Wei · Xiang Gu · Jian Sun
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Workshop
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SE(3)-equivariant self-attention via invariant features
Nan Chen · Soledad Villar
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Workshop
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Contrastive Unsupervised Learning of World Model with Invariant Causal Features
Rudra PK Poudel · Harit Pandya · Roberto Cipolla
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Workshop
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Contrast Invariant Feature Representations for Medical Image Analysis
Yue Zhi, Russ Chua · Adrian Dalca
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Workshop
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Sat 13:10
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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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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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Wed 9:00
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Invariant and Transportable Representations for Anti-Causal Domain Shifts
Yibo Jiang · Victor Veitch
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Workshop
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Domain Invariant Q-Learning for model-free robust continuous control under visual distractions
Tom Dupuis · Jaonary Rabarisoa · Quoc Cuong PHAM · David Filliat
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Workshop
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Invariant Feature Subspace Recovery for Multi-Class Classification
Gargi Balasubramaniam · Haoxiang Wang · Han Zhao
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