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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
What to Distill? Fast Knowledge Distillation with Adaptive Sampling
ICCV 2025
LLaVA-KD: A Framework of Distilling Multimodal Large Language Models
ICCV 2025
Efficient Speech Translation through Model Compression and Knowledge Distillation
ACL 2025
Inference-Time Diffusion Model Distillation
ICCV 2025
HFD-Teacher: High-Frequency Depth Distillation from Depth Foundation Models for Enhanced Depth Completion
ICCV 2025
Speed Without Sacrifice: Fine-Tuning Language Models with Medusa and Knowledge Distillation in Travel Applications
ACL 2025
Balancing Invariant and Specific Knowledge for Domain Generalization with Online Knowledge Distillation
IJCAI 2025
Local Dense Logit Relations for Enhanced Knowledge Distillation
ICCV 2025
AnnofreeOD: Detecting All Classes at Low Frame Rates Without Human Annotations
ICCV 2025
Task Vector Quantization for Memory-Efficient Model Merging
ICCV 2025
Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion
ICCV 2025
CMAD: Correlation-Aware and Modalities-Aware Distillation for Multimodal Sentiment Analysis with Missing Modalities
ICCV 2025
Confound from All Sides, Distill with Resilience: Multi-Objective Adversarial Paths to Zero-Shot Robustness
ICCV 2025
Multi-turn Consistent Image Editing
ICCV 2025
LLM-assisted Entropy-based Adaptive Distillation for Unsupervised Fine-grained Visual Representation Learning
ICCV 2025
DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization
ICCV 2025
Enhanced Event-based Dense Stereo via Cross-Sensor Knowledge Distillation
ICCV 2025
Fuse Before Transfer: Knowledge Fusion for Heterogeneous Distillation
ICCV 2025
Unleashing Vecset Diffusion Model for Fast Shape Generation
ICCV 2025
Photolithography Overlay Map Generation with Implicit Knowledge Distillation Diffusion Transformer
ICCV 2025
S4M: Boosting Semi-Supervised Instance Segmentation with SAM
ICCV 2025
Integrating Task-Specific and Universal Adapters for Pre-Trained Model-based Class-Incremental Learning
ICCV 2025
EgoAdapt: Adaptive Multisensory Distillation and Policy Learning for Efficient Egocentric Perception
ICCV 2025
Perspective-Aware Teaching: Adapting Knowledge for Heterogeneous Distillation
ICCV 2025
CIARD: Cyclic Iterative Adversarial Robustness Distillation
ICCV 2025
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