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Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series.

A. Raghu, P. Chandak, R. Alam, J. Guttag, и C. Stultz. ICML, том 202 из Proceedings of Machine Learning Research, стр. 28531-28548. PMLR, (2023)

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Aniruddh Sarkar

Vikram Singh Raghuwanshi

Raghu Bhushan

Raghu Chaliganti

Michael Raghunath

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Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML.A. Raghu, M. Raghu, S. Bengio, и O. Vinyals. ICLR, OpenReview.net, (2020)Teaching with Commentaries.A. Raghu, M. Raghu, S. Kornblith, D. Duvenaud, и G. Hinton. CoRR, (2020)Model-Based Reinforcement Learning for Sepsis Treatment.A. Raghu, M. Komorowski, и S. Singh. CoRR, (2018)Teaching with Commentaries.A. Raghu, M. Raghu, S. Kornblith, D. Duvenaud, и G. Hinton. ICLR, OpenReview.net, (2021)Data Augmentation for Electrocardiograms.A. Raghu, D. Shanmugam, E. Pomerantsev, J. Guttag, и C. Stultz. CHIL, том 174 из Proceedings of Machine Learning Research, стр. 282-310. PMLR, (2022)Data-Efficient Machine Learning with Applications to CardiologyA. Raghu. MIT, USA, (2024)Meta-learning to Improve Pre-training.A. Raghu, J. Lorraine, S. Kornblith, M. McDermott, и D. Duvenaud. NeurIPS, стр. 23231-23244. (2021)Through-Wall Human Mesh Recovery Using Radio Signals.M. Zhao, Y. Liu, A. Raghu, H. Zhao, T. Li, A. Torralba, и D. Katabi. ICCV, стр. 10112-10121. IEEE, (2019)Learning to predict with supporting evidence: applications to clinical risk prediction.A. Raghu, J. Guttag, K. Young, E. Pomerantsev, A. Dalca, и C. Stultz. CHIL, стр. 95-104. ACM, (2021)Sequential Multi-Dimensional Self-Supervised Learning for Clinical Time Series.A. Raghu, P. Chandak, R. Alam, J. Guttag, и C. Stultz. ICML, том 202 из Proceedings of Machine Learning Research, стр. 28531-28548. PMLR, (2023)

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