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PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning.

, , , , , , , и . CoRR, (2024)

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Weihua Xu

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Weihua Du

 

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Does Distributionally Robust Supervised Learning Give Robust Classifiers?, , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 2034-2042. PMLR, (2018)WILDS: A Benchmark of in-the-Wild Distribution Shifts., , , , , , , , , и 6 other автор(ы). CoRR, (2020)WILDS: A Benchmark of in-the-Wild Distribution Shifts., , , , , , , , , и 13 other автор(ы). ICML, том 139 из Proceedings of Machine Learning Research, стр. 5637-5664. PMLR, (2021)Embedded education for Computer Rank Examination., , , и . ICPADS, стр. 1-4. IEEE Computer Society, (2007)Research on J2EE Teaching Based on Mainstream Open Source Frameworks., и . CIT, стр. 2014-2017. IEEE Computer Society, (2010)PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning., , , , , , , и . CoRR, (2024)Worst-case Redundancy of Optimal Binary AIFV Codes and their Extended Codes., , и . CoRR, (2016)Wilds: A benchmark of in-the-wild distribution shifts, , , , , , , , , и 1 other автор(ы). International Conference on Machine Learning, стр. 5637--5664. PMLR, (2021)How powerful are graph neural networks?, , , и . arXiv preprint arXiv:1810.00826, (2018)Strategies for Pre-training Graph Neural Networks, , , , , , и . (2019)cite arxiv:1905.12265Comment: Accepted as a spotlight to ICLR 2020.