Awesome Active Learning Paper List
☆148Apr 23, 2024Updated last year
Alternatives and similar repositories for awesome-active-learning
Users that are interested in awesome-active-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A curated list of awesome Active Learning☆796Updated this week
- Active Learning Helps Pretrained Models Learn the Intended Task (https://arxiv.org/abs/2204.08491) by Alex Tamkin, Dat Nguyen, Salil Desh…☆11Nov 22, 2022Updated 3 years ago
- Deep Active Learning☆850Oct 3, 2022Updated 3 years ago
- This project hosts the code for implementing the ISAL algorithm for object detection and image classification (ICCV2021)☆29Nov 19, 2021Updated 4 years ago
- ☆16Sep 22, 2021Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆42Mar 19, 2024Updated 2 years ago
- Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]☆222Aug 4, 2020Updated 5 years ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆279Oct 23, 2018Updated 7 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆90Sep 14, 2021Updated 4 years ago
- ☆27Oct 19, 2021Updated 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…☆184May 6, 2024Updated last year
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆900Jul 23, 2025Updated 8 months ago
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆202Sep 26, 2019Updated 6 years ago
- ☆1,163Dec 5, 2022Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆15Mar 1, 2021Updated 5 years ago
- ☆53Jul 24, 2022Updated 3 years ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆66Jun 26, 2020Updated 5 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆232Jul 6, 2023Updated 2 years ago
- This is the code of paper ``Contrastive Coding for Active Learning under Class Distribution Mismatch'' with python.☆28Jan 5, 2023Updated 3 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆105Oct 22, 2024Updated last year
- [CVPR'20] Implementation for the paper "ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation"☆145Nov 22, 2022Updated 3 years ago
- Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)☆176Dec 1, 2021Updated 4 years ago
- Repository for implementation of active learning and semi-supervised learning algorithms and applying them to medical imaging datasets☆16May 17, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"☆35Aug 12, 2021Updated 4 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆109Sep 19, 2023Updated 2 years ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆69Aug 16, 2023Updated 2 years ago
- Code for the paper "Reinforced Active Learning for Image Segmentation"☆103Nov 26, 2020Updated 5 years ago
- ☆12Mar 4, 2025Updated last year
- [MIDL 2023] Official Imeplementation of "Making Your First Choice: To Address Cold Start Problem in Vision Active Learning"☆36Aug 3, 2023Updated 2 years ago
- PyTorch Language Modeling Toolkit for Fast Weight Programmers☆20Jun 11, 2025Updated 9 months ago
- ☆10Mar 18, 2022Updated 4 years ago
- Official PyTorch implementation for Diffusion Rejection Sampling (DiffRS) in ICML 2024.☆22Nov 11, 2024Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆46Apr 3, 2022Updated 3 years ago
- ☆11Jan 2, 2022Updated 4 years ago
- A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning☆297Mar 6, 2021Updated 5 years ago
- Official implementation of COLosSAL [MICCAI 2023]☆15Jul 22, 2023Updated 2 years ago
- Look-Ahead Data Acquisition via Augmentation for Deep Active Learning (NeurIPS 2021)☆15Apr 30, 2024Updated last year
- ☆15May 17, 2024Updated last year
- 😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.☆1,854May 24, 2024Updated last year