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
• zju-vipa / CMI
  [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation
  ☆73Updated 3 years ago
• DefangChen / SemCKD
  [AAAI-2021, TKDE-2023] Official implementation for "Cross-Layer Distillation with Semantic Calibration".
  ☆75Updated last year
• Jin-Ying / Multi-Level-Logit-Distillation
  Code for 'Multi-level Logit Distillation' (CVPR2023)
  ☆70Updated last year
• lliai / Awesome-Vision-Knowledge-Distillation
  Awesome Knowledge-Distillation for CV
  ☆91Updated last year
• lgcnsai / PS-KD-Pytorch
  Official PyTorch implementation of PS-KD
  ☆89Updated 3 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆115Updated 2 years ago
• hunto / DIST_KD
  Official implementation of paper "Knowledge Distillation from A Stronger Teacher", NeurIPS 2022
  ☆153Updated 2 years ago
• Huage001 / DatasetFactorization
  PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.
  ☆67Updated 3 years ago
• hunto / DiffKD
  Official implementation for paper "Knowledge Diffusion for Distillation", NeurIPS 2023
  ☆93Updated last year
• zju-vipa / Fast-Datafree
  [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation
  ☆74Updated 3 years ago
• Yanqing0327 / DREAM
  Efficient Dataset Distillation by Representative Matching
  ☆113Updated last year
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆104Updated last year
• changdaeoh / BlackVIP
  Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
  ☆110Updated 2 years ago
• JinXins / Adversarial-AutoMixup
  Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)
  ☆70Updated last year
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆40Updated 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 …
  ☆132Updated last year
• vimar-gu / MinimaxDiffusion
  [CVPR2024] Efficient Dataset Distillation via Minimax Diffusion
  ☆102Updated last year
• clovaai / attention-feature-distillation
  Official implementation for (Show, Attend and Distill: Knowledge Distillation via Attention-based Feature Matching, AAAI-2021)
  ☆118Updated 4 years ago
• jayroxis / CKA-similarity
  An Numpy and PyTorch Implementation of CKA-similarity with CUDA support
  ☆94Updated 4 years ago
• princetonvisualai / multimodal_dataset_distillation
  ☆61Updated 11 months ago
• da2so / Zero-shot_Knowledge_Distillation_Pytorch
  ZSKD with PyTorch
  ☆31Updated 2 years ago
• MingSun-Tse / Good-DA-in-KD
  [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective
  ☆37Updated 2 years ago
• yongchaoz / FRePo
  Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)
  ☆48Updated 3 years ago
• zhengli97 / CTKD
  [AAAI 2023] Official PyTorch Code for "Curriculum Temperature for Knowledge Distillation"
  ☆180Updated last year
• LINs-lab / RDED
  [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm
  ☆78Updated 9 months ago
• zju-vipa / MosaicKD
  [NeurIPS-2021] Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
  ☆45Updated 3 years ago
• UCSC-VLAA / DMAE
  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"
  ☆108Updated 2 years ago
• mr-eggplant / EATA
  Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting
  ☆134Updated 2 years ago
• magic-research / Dataset_Quantization
  [ICCV2023] Dataset Quantization
  ☆261Updated last year