justincui03 / dc_benchmarkLinks
☆87Updated 2 years ago
Alternatives and similar repositories for dc_benchmark
Users that are interested in dc_benchmark are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆22Updated 3 years ago
- [AAAI-2022] Up to 100x Faster Data-free Knowledge Distillation☆74Updated 2 years ago
- ☆39Updated 2 years ago
- Efficient Dataset Distillation by Representative Matching☆112Updated last year
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆81Updated last year
- Official implementation of "Private Set Generation with Discriminative Information" (NeurIPS 2022)☆17Updated 2 years ago
- [IJCAI-2021] Contrastive Model Inversion for Data-Free Knowledge Distillation☆72Updated 3 years ago
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆48Updated 2 years ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- ☆67Updated 2 years ago
- Official PyTorch implementation for Frequency Domain-based Dataset Distillation [NeurIPS 2023]☆30Updated last year
- PyTorch implementation of paper "Dataset Distillation via Factorization" in NeurIPS 2022.☆66Updated 2 years ago
- This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆71Updated last year
- ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching☆100Updated last year
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- (Pytorch) Training ResNets on ImageNet-100 data☆63Updated 3 years ago
- [CVPR 2024] On the Diversity and Realism of Distilled Dataset: An Efficient Dataset Distillation Paradigm☆74Updated 7 months ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- [ICCV 2023] DataDAM: Efficient Dataset Distillation with Attention Matching☆34Updated last year
- Official implementation of the paper "Robust and Resource-Efficient Data-Free Knowledge Distillation by Generative Pseudo Replay" (AAAI-2…☆18Updated 3 years ago
- Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)☆57Updated 2 years ago
- translation of VHL repo in paddle☆25Updated 2 years ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆53Updated 2 years ago
- This is the code of ICLR 2022 Oral paper 'Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Au…☆29Updated last year
- ☆14Updated 2 years ago
- [ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chan…☆47Updated 3 years ago
- [ICLR 2023] Trainable Weight Averaging: Efficient Training by Optimizing Historical Solutions☆27Updated 8 months ago
- Distilling Dataset into Generative Models☆54Updated 2 years ago
- Respect to the input tensor instead of paramters of NN☆21Updated 3 years ago