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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
DAM: Dynamic Adapter Merging for Continual Video QA Learning
WACV 2025
Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation
CVPR 2025
LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint
ACL 2025
Curriculum Hierarchical Knowledge Distillation for Bias-Free Survival Prediction
IJCAI 2025
Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting
ICCV 2025
LUT-Fuse: Towards Extremely Fast Infrared and Visible Image Fusion via Distillation to Learnable Look-Up Tables
ICCV 2025
Maximizing the Effectiveness of Larger BERT Models for Compression
ACL 2025
What Makes a Good Dataset for Knowledge Distillation?
CVPR 2025
Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance
AAAI 2025
Active Data Curation Effectively Distills Large-Scale Multimodal Models
CVPR 2025
Random Conditioning for Diffusion Model Compression with Distillation
CVPR 2025
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks
CVPR 2025
Shy-hunyuan-MT at WMT25 General Machine Translation Shared Task
EMNLP 2025
Scaling Down Text Encoders of Text-to-Image Diffusion Models
CVPR 2025
Investigating the Transferability of Code Repair for Low-Resource Programming Languages
NAACL 2025
One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments
ACL 2025
SWITCH: Studying with Teacher for Knowledge Distillation of Large Language Models
NAACL 2025
Vicomtech@WMT 2025: Evolutionary Model Compression for Machine Translation
EMNLP 2025
Improving Pre-trained Language Models with Knowledge Enhancement and Filtering Framework
NAACL 2025
Beyond Logits: Aligning Feature Dynamics for Effective Knowledge Distillation
ACL 2025
Beyond the Mode: Sequence-Level Distillation of Multilingual Translation Models for Low-Resource Language Pairs
NAACL 2025
Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
CVPR 2025
MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLU
NAACL 2025
Don’t Half-listen: Capturing Key-part Information in Continual Instruction Tuning
ACL 2025
OGP-Net: Optical Guidance Meets Pixel-Level Contrastive Distillation for Robust Multi-Modal and Missing Modality Segmentation
AAAI 2025
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