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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
Knowledge Distillation As Efficient Pre-Training: Faster Convergence, Higher Data-Efficiency, and Better Transferability
CVPR 2022
Ensembling Off-the-Shelf Models for GAN Training
CVPR 2022
Pre-Train, Self-Train, Distill: A Simple Recipe for Supersizing 3D Reconstruction
CVPR 2022
Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation
CVPR 2022
Decoupled Knowledge Distillation
CVPR 2022
DNA: Proximal Policy Optimization with a Dual Network Architecture
NIPS 2022
Symbolic Distillation for Learned TCP Congestion Control
NIPS 2022
Meta-Learning with Self-Improving Momentum Target
NIPS 2022
Offline Multi-Agent Reinforcement Learning with Knowledge Distillation
NIPS 2022
Contextual Similarity Distillation for Asymmetric Image Retrieval
CVPR 2022
Training Spiking Neural Networks with Local Tandem Learning
NIPS 2022
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks
NIPS 2022
Weighted Mutual Learning with Diversity-Driven Model Compression
NIPS 2022
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation
NIPS 2022
Weighted Distillation with Unlabeled Examples
NIPS 2022
Discovering and Overcoming Limitations of Noise-engineered Data-free Knowledge Distillation
NIPS 2022
Ensemble Transformer for Efficient and Accurate Ranking Tasks: an Application to Question Answering Systems
EMNLP 2022
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
EMNLP 2022
Fixing Model Bugs with Natural Language Patches
EMNLP 2022
Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook
EMNLP 2022
Graphein - a Python Library for Geometric Deep Learning and Network Analysis on Biomolecular Structures and Interaction Networks
NIPS 2022
BNS: Building Network Structures Dynamically for Continual Learning
NIPS 2021
Parameterized Knowledge Transfer for Personalized Federated Learning
NIPS 2021
Dynamic Knowledge Distillation for Pre-trained Language Models
EMNLP 2021
Multi-Vector Attention Models for Deep Re-ranking
EMNLP 2021
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