This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017
☆88May 17, 2022Updated 3 years ago
Alternatives and similar repositories for LAL
Users that are interested in LAL are comparing it to the libraries listed below
Sorting:
- Code for "Active One-shot Learning"☆33Mar 2, 2019Updated 7 years ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆279Oct 23, 2018Updated 7 years ago
- ☆1,163Dec 5, 2022Updated 3 years ago
- Active Learning using Multi Label Image Dataset☆14Feb 20, 2019Updated 7 years 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
- Adversarial Active Learning for Deep Networks☆14Oct 16, 2018Updated 7 years ago
- Active Learning☆56Jun 6, 2015Updated 10 years ago
- Active Learning experiments for Machine Learning in Life Sciences Workshop ECML 2015☆16Oct 12, 2016Updated 9 years ago
- This is a new version of Learning Active Learning which uses reinforcement learning☆13May 17, 2022Updated 3 years ago
- Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…☆31Sep 7, 2021Updated 4 years ago
- Active Learning Workshop Materials☆121Mar 15, 2019Updated 7 years ago
- Active learning for deep learning☆19Oct 5, 2018Updated 7 years ago
- Pool-based active learning in Python☆789Feb 12, 2026Updated last month
- ☆12Nov 28, 2015Updated 10 years ago
- Deep Active Learning☆847Oct 3, 2022Updated 3 years ago
- Deep Reinforcement Active learning - Master Thesis☆19Dec 7, 2022Updated 3 years ago
- Public experimental example code for the ProPublic recidivism data-based experiments for the upcoming Interpretable Active Learning Paper☆10Dec 18, 2017Updated 8 years ago
- Active Learning on Image Data using Bayesian ConvNets☆140Nov 2, 2016Updated 9 years ago
- Active learning for Big Data☆25Feb 26, 2026Updated 3 weeks ago
- Code to implement SIMILE algorithm from the paper entitled "Smooth Imitation Learning for Online Sequence Prediction" from ICML 2016☆13May 25, 2016Updated 9 years ago
- Policy based Active Learning with DQN (EMNLP-2017)☆90Mar 26, 2018Updated 7 years ago
- PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book☆985Dec 8, 2022Updated 3 years ago
- Deep Neural Networks Based Approaches for Graph Embeddings☆26Oct 18, 2017Updated 8 years ago
- Repo for the EACL2017 tutorial on imitation learning☆28Apr 3, 2017Updated 8 years ago
- Publication in Nature Scientific Reports: Self-Supervised Pre-Training with Contrastive and Masked Autoencoder Methods for Dealing with S…☆21Dec 12, 2024Updated last year
- In this work we present a task-agnostic Multimodal Variational Aversarial Active Learning (M-VAAL) for sampling the most informative samp…☆11Jun 23, 2023Updated 2 years ago
- [CIKM-21] Pytorch implementation of LiteGT: Efficient and Lightweight Graph Transformers☆12Nov 16, 2021Updated 4 years ago
- Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria☆12Dec 1, 2018Updated 7 years ago
- ☆12Jan 18, 2024Updated 2 years ago
- JCLAL is a general purpose framework developed in Java for Active Learning.☆23Jul 24, 2017Updated 8 years ago
- ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze t…☆899Jul 23, 2025Updated 7 months ago
- Segment graph convolutional neural network for relation classification. Paper in JAMIA.☆10May 13, 2019Updated 6 years ago
- Implementation of Neural Graph Machine inspired by the paper [2017 - Bui, Ravi Ramavajjala - Neural Graph Machines: Learning Neural Netwo…☆20Feb 1, 2018Updated 8 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆232Jul 6, 2023Updated 2 years ago
- ☆10Mar 14, 2023Updated 3 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
- Robust Attribution Regularization☆16Feb 17, 2022Updated 4 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Jun 20, 2014Updated 11 years ago
- How to implement the Cityscapes dataset in YOLOv8☆12Jun 20, 2024Updated last year