lunayht / DBALwithImgDataLinks
Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)
☆46Updated 3 years ago
Alternatives and similar repositories for DBALwithImgData
Users that are interested in DBALwithImgData are comparing it to the libraries listed below
Sorting:
- An implementation of the state-of-the-art Deep Active Learning algorithms☆107Updated 2 years ago
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆101Updated last year
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆58Updated 7 years ago
- Wasserstein Adversarial Active Learning☆29Updated 5 years ago
- Reusable BatchBALD implementation☆78Updated last year
- ☆109Updated 4 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆90Updated 4 years ago
- An implementation of the BADGE batch active learning algorithm.☆211Updated last year
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆69Updated 2 years ago
- Work on Evidential Deep Learning to Quantify Classification Uncertainty☆60Updated 7 years ago
- Code for "Deal: Deep Evidential Active Learning for Image Classification" (ICMLA 2020)☆21Updated 4 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆147Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Updated 3 years ago
- Calibration of Convolutional Neural Networks☆171Updated 2 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆164Updated 3 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆71Updated 5 years ago
- ☆239Updated 5 years ago
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆183Updated last year
- ☆68Updated 6 years ago
- ☆38Updated 5 years ago
- Awesome Active Learning Paper List☆145Updated last year
- This repository contains an official implementation of LPBNN.☆38Updated 2 years ago
- An implementation of the Residual Flow algorithm for out-of-distribution detection.☆31Updated 3 years ago
- Model-agnostic posthoc calibration without distributional assumptions☆42Updated 2 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Updated 3 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated 2 years ago
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆42Updated last year
- Generalizing to unseen domains via distribution matching☆73Updated 5 years ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- Survey for Distribution Shift☆19Updated 4 years ago