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Preserving Fine-Grain Feature Information in Classification via Entropic Regularization., , and . CoRR, (2022)Deep geometric knowledge distillation with graphs., , , , , and . CoRR, (2019)Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings., , , and . CoRR, (2022)Towards an Intrinsic Definition of Robustness for a Classifier., , , and . CoRR, (2020)Comparing linear structure-based and data-driven latent spatial representations for sequence prediction., , , and . CoRR, (2019)Restricted Clustered Neural Network for Storing Real Data., , , , and . ACM Great Lakes Symposium on VLSI, page 205-210. ACM, (2015)A Unified Deep Learning Formalism For Processing Graph Signals., , , and . CoRR, (2019)Leveraging the Feature Distribution in Transfer-Based Few-Shot Learning., , and . ICANN (2), volume 12892 of Lecture Notes in Computer Science, page 487-499. Springer, (2021)Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification., , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 5899-5917. PMLR, (2023)Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning., , and . Algorithms, 15 (5): 147 (2022)