BigML-CS-UCLA / sas-data-efficient-contrastive-learning
Official repository for SAS Data Efficient Contrastive Learning ICML '23
☆10Updated 7 months ago
Alternatives and similar repositories for sas-data-efficient-contrastive-learning:
Users that are interested in sas-data-efficient-contrastive-learning are comparing it to the libraries listed below
- Towards Sustainable Learning: Coresets for Data-efficient Deep Learning☆13Updated last year
- Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)☆96Updated 2 years ago
- Paper of out of distribution detection and generalization☆56Updated last year
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆44Updated last year
- [ICLR 2022] Open-World Semi-Supervised Learning☆100Updated 3 years ago
- Official implementation of "On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning"☆14Updated 2 years ago
- ☆92Updated 2 years ago
- This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…☆97Updated 3 years ago
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆48Updated last year
- Pytorch SimCLR on CIFAR10 (92.85% test accuracy)☆59Updated 4 years ago
- The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".☆39Updated last year
- A PyTorch framework for Continual Learning research.☆21Updated last year
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆123Updated 2 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆101Updated 2 years ago
- [CVPR 2022 Oral] Towards Principled Disentanglement for Domain Generalization☆61Updated 2 years ago
- A PyTorch implementation of the paper Targeted Supervised Contrastive Learning for Long-tailed Recognition☆100Updated last year
- Code for our CVPR 2022 workshop paper "Towards Exemplar-Free Continual Learning in Vision Transformers"☆22Updated 2 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆53Updated 3 years ago
- [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…☆62Updated 6 months ago
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments☆27Updated 2 years ago
- ☆19Updated 4 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- ☆23Updated 2 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆95Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 2 years ago
- ☆33Updated 5 years ago
- ASCL: adpative Soft Contrastive Learning (ICPR2022)☆22Updated last month
- Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance tech…☆52Updated last year
- PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"☆110Updated last year
- A collection of model transferability estimation methods.☆26Updated 6 months ago