DefangChen / Knowledge-Distillation-PaperLinks
This resposity maintains a collection of important papers on knowledge distillation (awesome-knowledge-distillation)).
☆80Updated 5 months ago
Alternatives and similar repositories for Knowledge-Distillation-Paper
Users that are interested in Knowledge-Distillation-Paper are comparing it to the libraries listed below
Sorting:
- [CVPR-2022] Official implementation for "Knowledge Distillation with the Reused Teacher Classifier".☆100Updated 3 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- Official PyTorch implementation of PS-KD☆90Updated 3 years ago
- Code for 'Multi-level Logit Distillation' (CVPR2023)☆69Updated 11 months ago
- Official implementation of paper "Knowledge Distillation from A Stronger Teacher", NeurIPS 2022☆149Updated 2 years ago
- [AAAI-2021, TKDE-2023] Official implementation for "Cross-Layer Distillation with Semantic Calibration".☆75Updated last year
- Awesome Knowledge-Distillation for CV☆89Updated last year
- Efficient Dataset Distillation by Representative Matching☆112Updated last year
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆66Updated 2 years ago
- [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation☆72Updated 3 years ago
- Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023☆90Updated last year
- [AAAI 2023] Official PyTorch Code for "Curriculum Temperature for Knowledge Distillation"☆179Updated 9 months ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- Official implementation for (Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching, AAAI-2021)☆119Updated 4 years ago
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆101Updated last year
- Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)☆69Updated 10 months ago
- [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".☆187Updated last year
- Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"☆110Updated 2 years ago
- A pytorch implementation of paper 'Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation', …☆180Updated 3 years ago
- [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation☆45Updated 2 years ago
- An Numpy and PyTorch Implementation of CKA-similarity with CUDA support☆94Updated 4 years ago
- Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"☆104Updated 2 years ago
- [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆125Updated last year
- [NeurIPS-2021] Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data☆45Updated 2 years ago
- Code for Paper "Self-Distillation from the Last Mini-Batch for Consistency Regularization"☆41Updated 2 years ago
- ☆26Updated last year
- [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"☆107Updated 2 years ago
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆73Updated 2 years ago
- ☆23Updated last year
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆65Updated 3 years ago