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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
Efficient Transformer Knowledge Distillation: A Performance Review
EMNLP 2023
Retrieve and Copy: Scaling ASR Personalization to Large Catalogs
EMNLP 2023
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
NIPS 2023
Strategic Data Sharing between Competitors
NIPS 2023
Knowledge Distillation for High Dimensional Search Index
NIPS 2023
Revisiting Adversarial Robustness Distillation from the Perspective of Robust Fairness
NIPS 2023
Res-Tuning: A Flexible and Efficient Tuning Paradigm via Unbinding Tuner from Backbone
NIPS 2023
Token-Scaled Logit Distillation for Ternary Weight Generative Language Models
NIPS 2023
Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale
NIPS 2023
One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation
NIPS 2023
On student-teacher deviations in distillation: does it pay to disobey?
NIPS 2023
What Knowledge Gets Distilled in Knowledge Distillation?
NIPS 2023
Towards Efficient Pre-Trained Language Model via Feature Correlation Distillation
NIPS 2023
MLFMF: Data Sets for Machine Learning for Mathematical Formalization
NIPS 2023
Learning From Biased Soft Labels
NIPS 2023
Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-Width Deep Neural Networks
WACV 2023
Backprop Induced Feature Weighting for Adversarial Domain Adaptation With Iterative Label Distribution Alignment
WACV 2023
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study
WACV 2023
Complementary Bi-Directional Feature Compression for Indoor 360deg Semantic Segmentation With Self-Distillation
WACV 2023
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning
ICCV 2023
Global Knowledge Calibration for Fast Open-Vocabulary Segmentation
ICCV 2023
Data-free Knowledge Distillation for Fine-grained Visual Categorization
ICCV 2023
A Unified Continual Learning Framework with General Parameter-Efficient Tuning
ICCV 2023
Denoised Self-Augmented Learning for Social Recommendation
IJCAI 2023
Teacher Assistant-Based Knowledge Distillation Extracting Multi-level Features on Single Channel Sleep EEG
IJCAI 2023
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