db-Lee / selfsup_dd
Self-Supervised Dataset Distillation for Transfer Learning
☆13Updated 11 months ago
Alternatives and similar repositories for selfsup_dd:
Users that are interested in selfsup_dd are comparing it to the libraries listed below
- This is the implementation of our CVPR'23 paper On the Pitfall of Mixup for Uncertainty Calibration. In the paper, we conduct a series of…☆17Updated 2 years ago
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆29Updated last year
- Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆43Updated last year
- The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)☆40Updated 2 years ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Updated last year
- Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>☆60Updated last year
- ☆30Updated 4 years ago
- ☆25Updated last year
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆59Updated last year
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆35Updated 2 years ago
- [ICML 2023] Parameter-Level Soft-Masking for Continual Learning☆18Updated last year
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆44Updated 2 years ago
- [NeurIPS 2023] A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm☆40Updated 2 months ago
- [ICML23] On Pitfalls of Test-Time Adaptation☆114Updated 11 months ago
- Official PyTorch implementation of "Multisize Dataset Condensation" (ICLR'24 Oral)☆13Updated 11 months ago
- This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.☆20Updated 2 years ago
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆24Updated last year
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆112Updated last year
- ☆23Updated last year
- ☆86Updated 2 years ago
- ☆12Updated last year
- ☆35Updated last year
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated 11 months ago
- ☆15Updated 10 months ago
- ☆38Updated 2 years ago
- ☆29Updated last year
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆101Updated 2 years ago
- This is the official PyTorch Implementation of "SoTTA: Robust Test-Time Adaptation on Noisy Data Streams (NeurIPS '23)" by Taesik Gong*, …☆20Updated last year
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆85Updated 11 months ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago