euphoria0-0 / Learning-Loss-for-Active-Learning
An unofficial PyTorch implementation of "Learning Loss for Active Learning"
☆10Updated 2 years ago
Alternatives and similar repositories for Learning-Loss-for-Active-Learning:
Users that are interested in Learning-Loss-for-Active-Learning are comparing it to the libraries listed below
- ☆15Updated 3 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆101Updated last year
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆88Updated 2 months ago
- Code for "Deal: Deep Evidential Active Learning for Image Classification" (ICMLA 2020)☆21Updated 3 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆83Updated 3 years ago
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆216Updated 4 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated last year
- Wasserstein Adversarial Active Learning☆29Updated 4 years ago
- A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)☆22Updated 3 years ago
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆42Updated 10 months ago
- ☆53Updated 2 years ago
- ☆40Updated 4 years ago
- This is the official PyTorch implementation of the paper "Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning" (Ju He, Adam Kor…☆27Updated 3 years ago
- Pytorch implementation of Cost-Effective Active Learning for Deep Image Classification paper☆17Updated 4 years ago
- State-Relabeling Adversarial Active Learning☆12Updated 3 years ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆263Updated 6 years ago
- ☆22Updated 3 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆56Updated 6 years ago
- End-to-end Deep Linear Discriminant Analysis in Pytorch.☆17Updated 3 years ago
- Look-Ahead Data Acquisition via Augmentation for Deep Active Learning (NeurIPS 2021)☆14Updated 8 months ago
- Official PyTorch implementation of "PT4AL: Using Self-Supervised Pretext Tasks for Active Learning (ECCV2022)"☆54Updated 8 months ago
- ☆50Updated 5 years ago
- An implementation of the BADGE batch active learning algorithm.☆202Updated 7 months ago
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆172Updated 8 months ago
- Generalizing to unseen domains via distribution matching☆70Updated 4 years ago
- ☆32Updated 2 years ago
- The official implementation of Active Learning by Feature Mixing (ALFA-Mix) paper☆81Updated 2 years ago
- pytorch implementation of ABC : Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning☆36Updated 2 months ago
- Code for the paper "Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning" (NeurIPS 20)☆72Updated 2 years ago
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆43Updated 2 years ago