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Meta-Learning Probabilistic Inference for Prediction., , , , и . ICLR (Poster), OpenReview.net, (2019)Data and computation efficient meta-learning.. University of Cambridge, UK, (2020)British Library, EThOS.FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification., , , , и . ICLR, OpenReview.net, (2023)Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes., , , , и . NeurIPS, стр. 7957-7968. (2019)TaskNorm: Rethinking Batch Normalization for Meta-Learning., , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 1153-1164. PMLR, (2020)Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks., , , , и . ICLR, OpenReview.net, (2023)Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification., , , , , и . NeurIPS, (2022)Memory Efficient Meta-Learning with Large Images., , , , , и . NeurIPS, стр. 24327-24339. (2021)ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition., , , , , , , , и . ICCV, стр. 10798-10808. IEEE, (2021)On the Efficacy of Differentially Private Few-shot Image Classification., , , , , , , и . CoRR, (2023)