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A Picture of the Space of Typical Learnable Tasks.

, , , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 28680-28700. PMLR, (2023)

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Jialin Shen

Jialin Cao

Jialin Liu

Tongsheng Mao

Yiqin Mao

 

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Loss Functions for Multiset Prediction., , , , , и . NeurIPS, стр. 5788-5797. (2018)Does the Data Induce Capacity Control in Deep Learning?, , и . ICML, том 162 из Proceedings of Machine Learning Research, стр. 25166-25197. PMLR, (2022)Disentangling and Characterizing Device Safety Signals and Learning Effects., , , , , , , , , и 2 other автор(ы). AMIA, AMIA, (2022)A Framework for Generating Synthetic Clinical Datasets with Learning Effects to Support Methods Development and Validation., , , , , , , , , и 1 other автор(ы). AMIA, AMIA, (2022)A Framework for Detecting Medical Device Safety Signals Confounded by Learning Effects Using Machine Learning., , , , , , , и . AMIA, AMIA, (2022)A Picture of the Space of Typical Learnable Tasks., , , , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 28680-28700. PMLR, (2023)Using Linked Registry-Electronic Health Records to Examine Long-term Outcomes of Medical Devices., , , и . AMIA, AMIA, (2022)Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy., , и . NeurIPS, (2022)