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WILDS: A Benchmark of in-the-Wild Distribution Shifts.

, , , , , , , , , , , , , , , , , , , , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 5637-5664. PMLR, (2021)

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Jian Xie

Yangpei Xie

Mingliang Xie

Qian Xie

Zhenwei Xie

 

Другие публикации лиц с тем же именем

Wilds: A benchmark of in-the-wild distribution shifts, , , , , , , , , и 1 other автор(ы). International Conference on Machine Learning, стр. 5637--5664. PMLR, (2021)An Explanation of In-context Learning as Implicit Bayesian Inference., , , и . CoRR, (2021)Data Selection for Language Models via Importance Resampling., , , и . CoRR, (2023)Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance., , и . NeurIPS, стр. 5327-5338. (2018)Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 22188-22214. PMLR, (2023)Understanding and Mitigating the Tradeoff between Robustness and Accuracy., , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 7909-7919. PMLR, (2020)Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping., , , , и . AAAI, стр. 3929-3935. AAAI Press, (2016)WILDS: A Benchmark of in-the-Wild Distribution Shifts., , , , , , , , , и 6 other автор(ы). CoRR, (2020)Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization., , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 11424-11435. PMLR, (2021)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)