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Knowledge Distillation
2907 directly classified papers
Papers per year
2000: 1
2010: 1
2015: 1
2016: 8
2017: 22
2018: 38
2019: 122
2020: 191
2021: 352
2022: 333
2023: 512
2024: 541
2025: 612
2026: 173
Papers
MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation
AAAI 2025
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
AAAI 2025
Learning Occlusion-Robust Vision Transformers for Real-Time UAV Tracking
CVPR 2025
Distilled Prompt Learning for Incomplete Multimodal Survival Prediction
CVPR 2025
Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves
CVPR 2025
Align-KD: Distilling Cross-Modal Alignment Knowledge for Mobile Vision-Language Large Model Enhancement
CVPR 2025
Sim4Rec: Data-Free Model Extraction Attack on Sequential Recommendation
AAAI 2025
Teach Small Models to Reason by Curriculum Distillation
EMNLP 2025
DART: Distilling Autoregressive Reasoning to Silent Thought
EMNLP 2025
Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information
EMNLP 2025
ToDi: Token-wise Distillation via Fine-Grained Divergence Control
EMNLP 2025
Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration
AAAI 2025
The Gemma Sutras: Fine-Tuning Gemma 3 for Sanskrit Sandhi Splitting
EMNLP 2025
DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval
CVPR 2025
When Big Models Train Small Ones: Label-Free Model Parity Alignment for Efficient Visual Question Answering using Small VLMs
EMNLP 2025
Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster
EMNLP 2025
Adaptive Dual Guidance Knowledge Distillation
AAAI 2025
MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities
AAAI 2025
Multi-label Self Knowledge Distillation
AAAI 2025
TinySAM: Pushing the Envelope for Efficient Segment Anything Model
AAAI 2025
From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical Calculations
EMNLP 2025
Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance
EMNLP 2025
Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract)
AAAI 2025
CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination
AAAI 2025
Confound from All Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness
ICCV 2025
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