ksenia-konyushkova / LAL
This project contains code for paper Ksenia Konyushkova, Raphael Sznitman, Pascal Fua 'Learning Active Learning from Data', NIPS 2017
☆87Updated 2 years ago
Alternatives and similar repositories for LAL:
Users that are interested in LAL are comparing it to the libraries listed below
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 7 years ago
- Active Learning on Image Data using Bayesian ConvNets☆138Updated 8 years ago
- Code for "Active One-shot Learning"☆33Updated 6 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 7 years ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆240Updated 10 months ago
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆203Updated 5 years ago
- Python codes for weakly-supervised learning☆123Updated 5 years ago
- Policy based Active Learning with DQN (EMNLP-2017)☆89Updated 7 years ago
- Gold Loss Correction☆87Updated 6 years ago
- Training Confidence-Calibrated Classifier for Detecting Out-of-Distribution Samples / ICLR 2018☆179Updated 5 years ago
- Adversarial Active Learning for Deep Networks☆14Updated 6 years ago
- Deep Transfer Learning Papers☆79Updated 3 years ago
- This is a collection of Papers and Codes for Noisy Labels Problem.☆63Updated 7 years ago
- Code for paper "Learning to Reweight Examples for Robust Deep Learning"☆270Updated 6 years ago
- Implementation of Temporal Ensembling for Semi-Supervised Learning by Laine et al. with tensorflow eager execution☆55Updated 5 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆459Updated 5 years ago
- Virtual adversarial training with Tensorflow☆251Updated 6 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆32Updated 9 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 5 years ago
- ☆125Updated 3 years ago
- Implementation of Deep Bayesian Active Learning with Image Data with modAL (python module for Active Learning)☆26Updated 5 years ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆269Updated 6 years ago
- ☆134Updated 5 years ago
- Codebase for "Deep Learning for Case-based Reasoning through Prototypes: A Neural Network that Explains Its Predictions" (to appear in AA…☆75Updated 7 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 7 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- This repository tries to provide unsupervised deep learning models with Pytorch☆90Updated 7 years ago
- Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018☆58Updated 10 months ago
- Implementation of Bayesian NNs in Pytorch (https://arxiv.org/pdf/1703.02910.pdf) (With some help from https://github.com/Riashat/Deep-Ba…☆31Updated 3 years ago
- A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.☆337Updated 3 years ago