YoonyeongKim / LADA
Look-Ahead Data Acquisition via Augmentation for Deep Active Learning (NeurIPS 2021)
☆14Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for LADA
- PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023☆54Updated last year
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆36Updated 3 years ago
- Weakly Supervised Contrastive Learning☆39Updated 3 years ago
- ☆28Updated last year
- 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…☆14Updated last year
- Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)☆51Updated 2 years ago
- [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments☆25Updated last year
- ☆58Updated last year
- A list of papers that studies out-of-distribution (OOD) detection and misclassification detection (MisD)☆40Updated last year
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆39Updated last year
- Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023☆28Updated last year
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆81Updated 2 weeks ago
- [AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406☆79Updated last year
- [AAAI 2024] An Implementation of Entropic Open-set Active Learning☆19Updated 6 months ago
- Code and results accompanying our paper titled Domain Adaptation under Open Set Label Shift☆30Updated last year
- [ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",☆68Updated 6 months ago
- ☆22Updated 2 years ago
- Official repository of CVPR '22 paper "Contrastive Test-Time Adaptation"☆91Updated 2 years ago
- ☆14Updated last year
- This is the official PyTorch implementation of the paper "Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning" (Ju He, Adam Kor…☆27Updated 2 years ago
- ☆35Updated 2 years ago
- [ICLR 2023 Spotlight] Code release for "Dirichlet-based Uncertainty Calibration for Active Domain Adaptation"☆29Updated last year
- ☆12Updated 2 years ago
- Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification☆26Updated last year
- The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"☆42Updated 10 months ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆50Updated last year
- ☆20Updated 2 years ago
- PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"☆23Updated last year
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆50Updated 2 years ago
- Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆98Updated last year