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