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Active Learning for Efficient Few-Shot Classification.

, , , и . ICASSP, стр. 1-5. IEEE, (2023)

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Vincent Gripon

Vincent Saderne

Vincent Liebert

Vincent Kuhn

Vincent Tejedor

 

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A Unified Deep Learning Formalism For Processing Graph Signals., , , и . CoRR, (2019)Restricted Clustered Neural Network for Storing Real Data., , , , и . ACM Great Lakes Symposium on VLSI, стр. 205-210. ACM, (2015)Leveraging the Feature Distribution in Transfer-Based Few-Shot Learning., , и . ICANN (2), том 12892 из Lecture Notes in Computer Science, стр. 487-499. Springer, (2021)Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification., , и . AISTATS, том 206 из Proceedings of Machine Learning Research, стр. 5899-5917. PMLR, (2023)Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings., , , и . CoRR, (2022)Preserving Fine-Grain Feature Information in Classification via Entropic Regularization., , и . CoRR, (2022)Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning., , и . Algorithms, 15 (5): 147 (2022)Entropy Based Feature Regularization to Improve Transferability of Deep Learning Models., , и . ICASSP, стр. 1-5. IEEE, (2023)Energy Consumption Analysis of Pruned Semantic Segmentation Networks on an Embedded GPU., , , , , и . SYSINT, том 546 из Lecture Notes in Networks and Systems, стр. 553-563. Springer, (2022)Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding., , , , и . CoRR, (2024)