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knowledge distillation

4,137 papers

KD

Papers

Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning CVPR 2025 FasterVoiceGrad: Faster One-step Diffusion-Based Voice Conversion with Adversarial Diffusion Conversion Distillation Interspeech 2025 FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation ICML 2025 FedCoT: Federated Chain-of-Thought Distillation for Large Language Models EMNLP 2025 FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation IJCAI 2025 Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens AAAI 2025 Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model AAAI 2025 Federated Oriented Learning: A Practical One-Shot Personalized Federated Learning Framework ICML 2025 FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models COLING 2025 FedTMOS: Efficient One-Shot Federated Learning with Tsetlin Machine ICLR 2025 FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis AAAI 2025 Filling Memory Gaps: Enhancing Continual Semantic Parsing via SQL Syntax Variance-Guided LLMs Without Real Data Replay AAAI 2025 FIND: Few-Shot Anomaly Inspection with Normal-Only Multi-Modal Data ICCV 2025 Findings of the WMT 2025 Shared Task on Model Compression: Early Insights on Compressing LLMs for Machine Translation EMNLP 2025 Fine-tune Before Structured Pruning: Towards Compact and Accurate Self-Supervised Models for Speaker Diarization Interspeech 2025 Fine-Tuned Thoughts: Leveraging Chain-of-Thought Reasoning for Industrial Asset Health Monitoring EMNLP 2025 FISTAPruner: Layer-wise Post-training Pruning for Large Language Models EMNLP 2025 FlashSloth : Lightning Multimodal Large Language Models via Embedded Visual Compression CVPR 2025 Flexi-FSCIL: Adaptive Knowledge Retention for Breaking the Stability-Plasticity Dilemma in Few-Shot Class-Incremental Learning ICCV 2025 Flipping Knowledge Distillation: Leveraging Small Models’ Expertise to Enhance LLMs in Text Matching ACL 2025 FM2DS: Few-Shot Multimodal Multihop Data Synthesis with Knowledge Distillation for Question Answering EMNLP 2025 FMD: Comprehensive Data Compression in Medical Domain via Fused Matching Distillation WACV 2025 Focusing on What to Decode and What to Train: SOV Decoding with Specific Target Guided DeNoising and Vision Language Advisor WACV 2025 FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification CVPR 2025 FOCUS: Towards Universal Foreground Segmentation AAAI 2025