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Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings., , , and . CoRR, (2022)Preserving Fine-Grain Feature Information in Classification via Entropic Regularization., , and . CoRR, (2022)Deep geometric knowledge distillation with graphs., , , , , and . CoRR, (2019)A Unified Deep Learning Formalism For Processing Graph Signals., , , and . CoRR, (2019)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)Towards an Intrinsic Definition of Robustness for a Classifier., , , and . CoRR, (2020)Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning., , and . Algorithms, 15 (5): 147 (2022)Energy Consumption Analysis of Pruned Semantic Segmentation Networks on an Embedded GPU., , , , , and . SYSINT, volume 546 of Lecture Notes in Networks and Systems, page 553-563. Springer, (2022)Entropy Based Feature Regularization to Improve Transferability of Deep Learning Models., , and . ICASSP, page 1-5. IEEE, (2023)