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Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs.

, , , , , , , , и . NeurIPS, (2022)

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Jian Xie

Yangpei Xie

Mingliang Xie

Qian Xie

Zhenwei Xie

 

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Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack., , , , , , , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 7144-7163. PMLR, (2022)Does Invariant Graph Learning via Environment Augmentation Learn Invariance?, , , , , и . NeurIPS, (2023)Enhancing Neural Subset Selection: Integrating Background Information into Set Representations., , , , , , , и . CoRR, (2024)Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization., , , , , , , , , и 1 other автор(ы). ICLR, OpenReview.net, (2023)Enhancing Evolving Domain Generalization through Dynamic Latent Representations., , , , , , и . AAAI, стр. 16040-16048. AAAI Press, (2024)Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes., , , , , и . CoRR, (2023)Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs., , , , , , , , и . NeurIPS, (2022)Second Order Enhanced Multi-glimpse Attention in Visual Question Answering., , и . ACCV (4), том 12625 из Lecture Notes in Computer Science, стр. 87-103. Springer, (2020)