Optimizing Transformations for Contrastive Learning in a Differentiable Framework - researchr publication authors

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Camille Ruppli, Pietro Gori, Roberto Ardon, Isabelle Bloch. Optimizing Transformations for Contrastive Learning in a Differentiable Framework. In Ghada Zamzmi, Sameer K. Antani, Ulas Bagci, Marius George Linguraru, Sivaramakrishnan Rajaraman, Zhiyun Xue, editors, Medical Image Learning with Limited and Noisy Data - First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Volume 13559 of Lecture Notes in Computer Science, pages 96-105, Springer, 2022. [doi]

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