Alternatives and similar repositories for dataset-distillation:

Users that are interested in dataset-distillation are comparing it to the libraries listed below

• ondrejbohdal / label-distillation
  Official PyTorch implementation of “Flexible Dataset Distillation: Learn Labels Instead of Images”
  ☆41Updated 4 years ago
• VITA-Group / Nasty-Teacher
  [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…
  ☆81Updated 3 years ago
• zeyademam / active_learning
  Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…
  ☆52Updated 3 years ago
• mansheej / data_diet
  ☆105Updated last year
• justincui03 / dc_benchmark
  ☆85Updated 2 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆55Updated 2 years ago
• dguo98 / DiffPruning
  Parameter Efficient Transfer Learning with Diff Pruning
  ☆73Updated 4 years ago
• Piyush-555 / GaussianDistillation
  Data-free knowledge distillation using Gaussian noise (NeurIPS paper)
  ☆15Updated 2 years ago
• snu-mllab / Efficient-Dataset-Condensation
  Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)
  ☆112Updated last year
• dwang181 / active-mixup
  Code for Active Mixup in 2020 CVPR
  ☆22Updated 3 years ago
• varunnair18 / FISH
  Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).
  ☆58Updated 3 years ago
• Weixin-Liang / MetaShift
  MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts (ICLR 2022)
  ☆109Updated 2 years ago
• google-research / heldout-influence-estimation
  ☆62Updated 3 years ago
• da2so / Zero-shot_Knowledge_Distillation_Pytorch
  ZSKD with PyTorch
  ☆30Updated last year
• snu-mllab / Co-Mixup
  Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
  ☆103Updated 3 years ago
• pluskid / structural-regularity
  ☆22Updated last year
• yolky / RFAD
  Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"
  ☆37Updated 2 years ago
• stanford-futuredata / selection-via-proxy
  ☆93Updated 4 years ago
• Saehyung-Lee / DCC
  This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.
  ☆20Updated 2 years ago
• naotoo1 / Beyond-Neural-Scaling
  Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models
  ☆33Updated 3 months ago
• GuyHacohen / curriculum_learning
  Code implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Wei…
  ☆108Updated 5 years ago
• cihangxie / SmoothAdversarialTraining
  Smooth Adversarial Training
  ☆67Updated 4 years ago
• Mattdl / RehearsalRevealed
  Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.
  ☆27Updated 3 years ago
• VITA-Group / Adversarial-Contrastive-Learning
  [NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
  ☆115Updated 3 years ago
• P2333 / Max-Mahalanobis-Training
  Max Mahalanobis Training (ICML 2018 + ICLR 2020)
  ☆90Updated 4 years ago
• hendrycks / pre-training
  Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
  ☆100Updated 3 years ago
• divyam3897 / UCL
  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
  ☆96Updated 2 years ago
• zju-vipa / Fast-Datafree
  [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation
  ☆68Updated 2 years ago
• dydjw9 / Efficient_SAM
  ☆57Updated 2 years ago
• UMBCvision / CompRess
  Compressing Representations for Self-Supervised Learning
  ☆78Updated 4 years ago