cubeyoung / TA-VAALLinks
[CVPR2021] Task-Aware Variational Adversarial Active Learning
☆42Updated last year
Alternatives and similar repositories for TA-VAAL
Users that are interested in TA-VAAL are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"☆56Updated last year
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆68Updated 2 years ago
- [CVPR 2022] Pytorch implementation for “Debiased Learning from Naturally Imbalanced Pseudo-Labels”☆104Updated 3 months ago
- Confidence-Aware Learning for Deep Neural Networks (ICML2020)☆74Updated 5 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Updated 3 years ago
- Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanis…☆44Updated 3 years ago
- Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.☆137Updated 2 years ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆75Updated 3 years ago
- ☆46Updated 5 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆89Updated 4 years ago
- ☆57Updated 4 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆123Updated 4 years ago
- MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space☆98Updated 4 years ago
- An implementation of the BADGE batch active learning algorithm.☆210Updated last year
- Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)☆126Updated 3 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆100Updated last year
- PyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"☆71Updated 4 years ago
- Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"☆40Updated 3 years ago
- Improving Calibration for Long-Tailed Recognition (CVPR2021)☆153Updated 4 years ago
- Code for CoMatch: Semi-supervised Learning with Contrastive Graph Regularization☆129Updated 8 months ago
- This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer☆41Updated 4 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆154Updated 3 years ago
- SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]☆138Updated 4 years ago
- ☆46Updated 4 years ago
- Pytorch Code for "A Broad Study on the Transferability of Visual Representations with Contrastive Learning" (ICCV 2021)☆36Updated 3 years ago
- Metrics for out-of-distribution (OOD) detection performance evaluation☆50Updated last year
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆89Updated 3 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆105Updated 4 years ago
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆79Updated 3 years ago