princetonvisualai / RememberThePast-DatasetDistillationLinks
☆40Updated 2 years ago
Alternatives and similar repositories for RememberThePast-DatasetDistillation
Users that are interested in RememberThePast-DatasetDistillation are comparing it to the libraries listed below
Sorting:
- ☆86Updated 2 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆56Updated 2 years ago
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆22Updated 3 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Updated 2 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- ☆59Updated 7 months ago
- (Pytorch) Training ResNets on ImageNet-100 data☆63Updated 3 years ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- Official implementation of "Private Set Generation with Discriminative Information" (NeurIPS 2022)☆17Updated 2 years ago
- Code for Continuously Changing Corruptions (CCC) benchmark + evaluation☆36Updated last year
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆21Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆112Updated last year
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆71Updated last year
- Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]☆30Updated last year
- ☆114Updated 2 years ago
- [ICLR 2022] "Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity" by Shiwei Liu,…☆27Updated 3 years ago
- ☆23Updated last year
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆45Updated 2 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Updated last year
- Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)☆28Updated 2 years ago
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆80Updated 3 years ago
- ☆14Updated 2 years ago
- ☆67Updated 2 years ago
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆66Updated 2 years ago
- Distilling Dataset into Generative Models☆54Updated 2 years ago
- An Numpy and PyTorch Implementation of CKA-similarity with CUDA support☆93Updated 4 years ago
- ImageNetV2 Pytorch Dataset☆41Updated 2 years ago
- ☆27Updated last year
- ☆15Updated last year