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Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution.

, , , , and . Neurocomputing, (October 2023)

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Hybrid knowledge distillation from intermediate layers for efficient Single Image Super-Resolution., , , , and . Neurocomputing, (October 2023)DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models., , , , , and . CoRR, (2023)Learning What You Should Learn., , , , , and . CoRR, (2022)A Bi-Stream hybrid model with MLPBlocks and self-attention mechanism for EEG-based emotion recognition., , , , , and . Biomed. Signal Process. Control., 86 (Part B): 105223 (September 2023)Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching., , , , and . CoRR, (2023)Teaching What You Should Teach: A Data-Based Distillation Method., , , , , and . IJCAI, page 1351-1359. ijcai.org, (2023)Spatial-Temporal Constraint Learning for Cross-Subject EEG-Based Emotion Recognition., , , , and . IJCNN, page 1-8. IEEE, (2023)Your Diffusion Model is Secretly a Certifiably Robust Classifier., , , , , , and . CoRR, (2024)AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network., , , and . ACML, volume 189 of Proceedings of Machine Learning Research, page 579-594. PMLR, (2022)What Role Does Data Augmentation Play in Knowledge Distillation?, , , , , and . ACCV (2), volume 13842 of Lecture Notes in Computer Science, page 507-525. Springer, (2022)