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Poster
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Tue 2:30
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Topology-aware Robust Optimization for Out-of-Distribution Generalization
Fengchun Qiao · Xi Peng
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Workshop
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Thu 2:00
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Pareto Invariant Risk Minimization: Towards Mitigating The Optimization Dilemma in Out-of-Distribution Generalization
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Poster
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Wed 2:30
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Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories
Li-Cheng Lan · Huan Zhang · Cho-Jui Hsieh
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Poster
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Improving Out-of-distribution Generalization with Indirection Representations
Kha Pham · Hung Le · Man Ngo · Truyen Tran
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Poster
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Wed 2:30
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GAMR: A Guided Attention Model for (visual) Reasoning
Mohit Vaishnav · Thomas Serre
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Poster
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Mon 2:30
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Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Jivat Neet Kaur · Emre Kiciman · Amit Sharma
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Oral
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Mon 1:20
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Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Jivat Neet Kaur · Emre Kiciman · Amit Sharma
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Poster
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Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin · Tong Zhao · Jiayuan Ding · Yozen Liu · Jiliang Tang · Neil Shah
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Poster
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Mon 7:30
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Feature Reconstruction From Outputs Can Mitigate Simplicity Bias in Neural Networks
Sravanti Addepalli · Anshul Hemant Nasery · Venkatesh Babu Radhakrishnan · Praneeth Netrapalli · Prateek Jain
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Poster
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ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations
Xuyang Zhao · Tianqi Du · Yisen Wang · Jun Yao · Weiran Huang
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Poster
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Understanding new tasks through the lens of training data via exponential tilting
Subha Maity · Mikhail Yurochkin · Moulinath Banerjee · Yuekai Sun
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Poster
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Mon 7:30
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Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
Yongqiang Chen · Kaiwen Zhou · Yatao Bian · Binghui Xie · Bingzhe Wu · Yonggang Zhang · MA KAILI · Han Yang · Peilin Zhao · Bo Han · James Cheng
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