BigML-CS-UCLA / CRESTLinks
Towards Sustainable Learning: Coresets for Data-efficient Deep Learning
☆13Updated 2 years ago
Alternatives and similar repositories for CREST
Users that are interested in CREST are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆63Updated 2 years ago
- Paper of out of distribution detection and generalization☆56Updated 2 years ago
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆99Updated 2 years ago
- ☆72Updated 2 years ago
- (Pytorch) Training ResNets on ImageNet-100 data☆64Updated 3 years ago
- [ICLR 2022] Open-World Semi-Supervised Learning☆106Updated 3 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆99Updated 3 years ago
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments☆27Updated 2 years ago
- Code for coreset selection methods☆254Updated 2 years ago
- ☆16Updated 3 years ago
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆119Updated 2 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆135Updated 2 years ago
- ☆45Updated 2 years ago
- Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)☆116Updated 2 years ago
- ☆91Updated 3 years ago
- Pytorch SimCLR on CIFAR10 (92.85% test accuracy)☆61Updated 5 years ago
- ☆39Updated 6 years ago
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆126Updated 3 years ago
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Updated 4 years ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Updated 2 years ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆105Updated 4 years ago
- ☆14Updated 2 years ago
- ☆30Updated 3 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆56Updated 3 years ago
- Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)☆153Updated last year
- Code for TMLR 2023 paper "OpenCon: Open-world Contrastive Learning"☆39Updated 2 years ago
- PyTorch implementation of POEM (Out-of-distribution detection with posterior sampling), ICML 2022☆28Updated 2 years ago
- [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…☆62Updated last year
- [ICML 2023] On Pitfalls of Test-Time Adaptation☆124Updated last year