yongjin-shin / awesome-active-learning
Awesome Active Learning Paper List
☆139Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for awesome-active-learning
- An implementation of the BADGE batch active learning algorithm.☆197Updated 5 months ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆142Updated last year
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆260Updated 6 years ago
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆215Updated 4 years ago
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆170Updated 6 months ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆82Updated 3 weeks ago
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆202Updated 5 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆225Updated last year
- An implementation of the state-of-the-art Deep Active Learning algorithms☆100Updated last year
- A list of active learning methods for deep learning.☆63Updated 10 months ago
- ☆400Updated 3 years ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆65Updated 4 years ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆230Updated 5 months ago
- Wasserstein Adversarial Active Learning☆29Updated 4 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆83Updated 3 years ago
- Awesome coreset/core-set/subset/sample selection works.☆163Updated 4 months ago
- 👽 Out-of-Distribution Detection with PyTorch☆252Updated last week
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆77Updated 4 years ago
- Reusable BatchBALD implementation☆74Updated 8 months ago
- Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"☆54Updated 6 months ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆224Updated 5 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆125Updated 5 years ago
- The Official Repository for "Generalized OOD Detection: A Survey"☆447Updated 2 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆65Updated last year
- ☆90Updated 3 years ago
- "Automatically Discovering and Learning New Visual Categories with Ranking Statistics" by Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Eh…☆224Updated 4 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 4 years ago
- Self-Supervised Learning for OOD Detection (NeurIPS 2019)☆266Updated 3 years ago
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆41Updated 8 months ago
- Another Domain Adaptation library, aimed at researchers.☆96Updated last year