Alternatives and similar repositories for Knowledge-Distillation-Paper

Users that are interested in Knowledge-Distillation-Paper are comparing it to the libraries listed below

• DefangChen / SimKD
  [CVPR-2022] Official implementation for "Knowledge Distillation with the Reused Teacher Classifier".
  ☆100Updated 3 years ago
• Jin-Ying / Multi-Level-Logit-Distillation
  Code for 'Multi-level Logit Distillation' (CVPR2023)
  ☆68Updated 11 months ago
• JinXins / Adversarial-AutoMixup
  Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)
  ☆69Updated 9 months ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆113Updated last year
• hunto / DIST_KD
  Official implementation of paper "Knowledge Distillation from A Stronger Teacher", NeurIPS 2022
  ☆148Updated 2 years ago
• lgcnsai / PS-KD-Pytorch
  Official PyTorch implementation of PS-KD
  ☆89Updated 3 years ago
• hunto / DiffKD
  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023
  ☆90Updated last year
• DefangChen / SemCKD
  [AAAI-2021, TKDE-2023] Official implementation for "Cross-Layer Distillation with Semantic Calibration".
  ☆75Updated last year
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆66Updated 2 years ago
• lliai / Awesome-Vision-Knowledge-Distillation
  Awesome Knowledge-Distillation for CV
  ☆89Updated last year
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆112Updated last year
• zju-vipa / CMI
  [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation
  ☆72Updated 3 years ago
• clovaai / attention-feature-distillation
  Official implementation for (Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching, AAAI-2021)
  ☆118Updated 4 years ago
• zhengli97 / CTKD
  [AAAI 2023] Official PyTorch Code for "Curriculum Temperature for Knowledge Distillation"
  ☆178Updated 8 months ago
• KaihuaTang / Generalized-Long-Tailed-Benchmarks.pytorch
  [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…
  ☆125Updated last year
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 2 years ago
• zju-vipa / Fast-Datafree
  [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation
  ☆72Updated 2 years ago
• GeorgeCazenavette / glad
  ☆114Updated 2 years ago
• changdaeoh / BlackVIP
  Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
  ☆111Updated 2 years ago
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆102Updated last year
• Mi-Peng / Sparse-Sharpness-Aware-Minimization
  [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation
  ☆45Updated 2 years ago
• VILA-Lab / SRe2L
  (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original …
  ☆129Updated 9 months ago
• OPTML-Group / Robust-MoE-CNN
  [ICCV23] Robust Mixture-of-Expert Training for Convolutional Neural Networks by Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Hua…
  ☆60Updated last year
• jacobswan1 / SEED
  ☆37Updated 3 years ago
• lliai / DisWOT-CVPR2023
  ☆26Updated last year
• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆95Updated last year
• princetonvisualai / multimodal_dataset_distillation
  ☆59Updated 7 months ago
• yzd-v / cls_KD
  'NKD and USKD' (ICCV 2023) and 'ViTKD' (CVPRW 2024)
  ☆235Updated last year
• mr-eggplant / EATA
  Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting
  ☆128Updated 2 years ago
• scok30 / MAE-CIL
  Official implementation of the paper "Masked Autoencoders are Efficient Class Incremental Learners"
  ☆43Updated last year