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Fast Differentiable Sorting and Ranking.

, , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 950-959. PMLR, (2020)

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The Visual Task Adaptation Benchmark, , , , , , , , , and 7 other author(s). (2019)cite arxiv:1910.04867.Variational Inference in Mixed Probabilistic Submodular Models., , and . NIPS, page 1759-1767. (2016)Improving Optimization-Based Approximate Inference by Clamping Variables., , , and . UAI, AUAI Press, (2017)Scalable Variational Inference in Log-supermodular Models., and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 1804-1813. JMLR.org, (2015)Revisiting the Calibration of Modern Neural Networks., , , , , , , and . NeurIPS, page 15682-15694. (2021)On Mutual Information Maximization for Representation Learning., , , , and . ICLR, OpenReview.net, (2020)Evaluating Generative Models Using Divergence Frontiers., , , , , and . CoRR, (2019)Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning., , , , , , , , , and 14 other author(s). CoRR, (2021)Scaling Vision Transformers to 22 Billion Parameters., , , , , , , , , and 32 other author(s). CoRR, (2023)Learning Probabilistic Submodular Diversity Models Via Noise Contrastive Estimation., , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 770-779. JMLR.org, (2016)