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Semi-Supervised Few-Shot Learning from A Dependency-Discriminant Perspective.

, and . CVPR Workshops, page 2816-2824. IEEE, (2022)

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Semi-Supervised Few-Shot Learning from A Dependency-Discriminant Perspective., and . CVPR Workshops, page 2816-2824. IEEE, (2022)Parameter Efficient Dynamic Convolution via Tensor Decomposition., and . BMVC, page 107. BMVA Press, (2021)Few-Shot Learning Via Dependency Maximization and Instance Discriminant Analysis., and . MLSP, page 1-6. IEEE, (2021)Methodical Design and Trimming of Deep Learning Networks: Enhancing External BP Learning with Internal Omnipresent-supervision Training Paradigm., , and . ICASSP, page 8058-8062. IEEE, (2019)SpeechGuard: Exploring the Adversarial Robustness of Multi-modal Large Language Models., , , , , , , , , and 4 other author(s). ACL (Findings), page 10018-10035. Association for Computational Linguistics, (2024)Meta-Learning with Attention for Improved Few-Shot Learning., , and . ICASSP, page 2725-2729. IEEE, (2021)MILAN: Masked Image Pretraining on Language Assisted Representation., , , , and . CoRR, (2022)Effective Model Sparsification by Scheduled Grow-and-Prune Methods., , , , , , , , , and . ICLR, OpenReview.net, (2022)Scalable Kernel Learning Via the Discriminant Information., , and . ICASSP, page 3152-3156. IEEE, (2020)A Discriminant Information Approach to Deep Neural Network Pruning., and . ICPR, page 9553-9560. IEEE, (2020)