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POT: Python Optimal Transport., , , , , , , , , and 12 other author(s). J. Mach. Learn. Res., (2021)Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels., , and . NeurIPS, (2022)Object Discovery via Contrastive Learning for Weakly Supervised Object Detection., , , , and . ECCV (31), volume 13691 of Lecture Notes in Computer Science, page 312-329. Springer, (2022)Active Pointillistic Pattern Search., , , and . AISTATS, volume 38 of JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Active learning and search on low-rank matrices., , and . KDD, page 212-220. ACM, (2013)Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy., , , , , , and . ICLR (Poster), OpenReview.net, (2017)Better Supervisory Signals by Observing Learning Paths., , and . ICLR, OpenReview.net, (2022)Pre-trained Perceptual Features Improve Differentially Private Image Generation., , , and . Trans. Mach. Learn. Res., (2023)Linear-Time Learning on Distributions with Approximate Kernel Embeddings., , , and . AAAI, page 2073-2079. AAAI Press, (2016)Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data., , , and . NeurIPS, page 5848-5860. (2021)