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Robust and Efficient Medical Imaging with Self-Supervision, , , , , , , , , and 24 other author(s). (July 2022)arXiv:2205.09723 cs.Scaling Vision Transformers to 22 Billion Parameters., , , , , , , , , and 32 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 7480-7512. PMLR, (2023)Massively Scaling Heteroscedastic Classifiers., , , , , and . ICLR, OpenReview.net, (2023)Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints., , , , , , , , and . ICLR, OpenReview.net, (2023)Big Self-Supervised Models Advance Medical Image Classification., , , , , , , , , and 2 other author(s). ICCV, page 3458-3468. IEEE, (2021)Scalable Transfer Learning with Expert Models., , , , , , , and . ICLR, OpenReview.net, (2021)Scaling Vision Transformers to 22 Billion Parameters., , , , , , , , , and 32 other author(s). CoRR, (2023)PaLI: A Jointly-Scaled Multilingual Language-Image Model., , , , , , , , , and 10 other author(s). ICLR, OpenReview.net, (2023)Does your dermatology classifier know what it doesn't know? Detecting the long-tail of unseen conditions., , , , , , , , , and 11 other author(s). Medical Image Anal., (2022)Scaling Vision with Sparse Mixture of Experts., , , , , , , and . NeurIPS, page 8583-8595. (2021)