Saehyung-Lee / DCCLinks
This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.
☆21Updated 3 years ago
Alternatives and similar repositories for DCC
Users that are interested in DCC 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
- Official Code for Dataset Distillation using Neural Feature Regression (NeurIPS 2022)☆47Updated 2 years ago
- ☆29Updated last year
- [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…☆53Updated last year
- ☆39Updated 2 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆113Updated last year
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 3 years ago
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆39Updated 2 years ago
- Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"☆37Updated 2 years ago
- ☆65Updated last year
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago
- ☆23Updated last year
- ☆16Updated last year
- ☆26Updated 2 years ago
- [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…☆13Updated last year
- ☆42Updated last year
- Respect to the input tensor instead of paramters of NN☆19Updated 2 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 2 years ago
- ☆26Updated 2 years ago
- [ICML2023] Revisiting Data-Free Knowledge Distillation with Poisoned Teachers☆22Updated 11 months ago
- Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]☆52Updated 2 years ago
- [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
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆96Updated 2 years ago
- ☆11Updated 2 years ago
- Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"☆48Updated 11 months ago
- Official code of "Discover and Mitigate Unknown Biases with Debiasing Alternate Networks" (ECCV 2022)☆24Updated 2 years ago
- Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)☆21Updated 2 years ago
- (Pytorch) Training ResNets on ImageNet-100 data☆60Updated 3 years ago
- Code for NeurIPS 2021 paper "Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning".☆16Updated 3 years ago