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FHIST: A Benchmark for Few-shot Classification of Histological Images., , , , , , and . CoRR, (2022)Open-Set Likelihood Maximization for Few-Shot Learning., , , , , , and . CVPR, page 24007-24016. IEEE, (2023)A Unifying Mutual Information View of Metric Learning: Cross-Entropy vs. Pairwise Losses., , , , , , and . ECCV (6), volume 12351 of Lecture Notes in Computer Science, page 548-564. Springer, (2020)Realistic evaluation of transductive few-shot learning., , , and . NeurIPS, page 9290-9302. (2021)Transductive Information Maximization For Few-Shot Learning., , , , , and . CoRR, (2020)SaulLM-7B: A pioneering Large Language Model for Law., , , , , , , , , and 1 other author(s). CoRR, (2024)A Strong Baseline for Generalized Few-Shot Semantic Segmentation., , , and . CoRR, (2022)Towards Practical Few-shot Query Sets: Transductive Minimum Description Length Inference., , , , and . NeurIPS, (2022)Bag of Tricks for Fully Test-Time Adaptation., , , , and . WACV, page 1925-1934. IEEE, (2024)Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?, , , , , and . CoRR, (2020)