Showing 1–20 of 60 results
/ Date/ Name
May 10, 2019EENA: Efficient Evolution of Neural ArchitectureNov 6, 2020GHFP: Gradually Hard Filter PruningJun 19, 2023Categories of Response-Based, Feature-Based, and Relation-Based Knowledge DistillationAug 11, 2021A Channel-Aware Routing Protocol With Nearest Neighbor Regression For Underwater Sensor NetworksMar 21, 2023A Survey on Causal Inference for RecommendationJul 24, 2023CLIP-KD: An Empirical Study of CLIP Model DistillationJul 6, 2025MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal DistillationJun 27, 2025Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal ForecastingOct 29, 2025Selective Learning for Deep Time Series ForecastingFeb 22, 2025Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual RecognitionMay 13, 2025PrePrompt: Predictive prompting for class incremental learningJun 7, 2024IOR: Inversed Objects Replay for Incremental Object DetectionJan 29, 2026Semantic-Guided Dynamic Sparsification for Pre-Trained Model-based Class-Incremental LearningFeb 5, 2026Fast-SAM3D: 3Dfy Anything in Images but FasterFeb 25, 2026MultiAnimate: Pose-Guided Image Animation Made ExtensibleSep 28, 2025QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention SparsificationSep 25, 2025Quantized Visual Geometry Grounded TransformerJan 19, 2020Towards More Efficient and Effective Inference: The Joint Decision of Multi-ParticipantsJan 17, 2022Lifelong Generative Learning via Knowledge ReconstructionAug 11, 2022MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition