cjshui / WAALLinks
Wasserstein Adversarial Active Learning
☆29Updated 5 years ago
Alternatives and similar repositories for WAAL
Users that are interested in WAAL are comparing it to the libraries listed below
Sorting:
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆69Updated 2 years ago
- An implementation of the BADGE batch active learning algorithm.☆210Updated last year
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆101Updated last year
- An implementation of the state-of-the-art Deep Active Learning algorithms☆106Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆147Updated 2 years ago
- NumPy library for calibration metrics☆75Updated 2 weeks ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated 2 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆153Updated 2 years ago
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆300Updated 2 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆164Updated 3 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
- Reusable BatchBALD implementation☆78Updated last year
- Metrics for out-of-distribution (OOD) detection performance evaluation☆50Updated last year
- ☆46Updated 5 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆90Updated 4 years ago
- Calibration of Convolutional Neural Networks☆171Updated 2 years ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆277Updated 7 years ago
- Combating hidden stratification with GEORGE☆64Updated 4 years ago
- ☆429Updated 4 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆35Updated last year
- A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)☆23Updated 4 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆231Updated 2 years ago
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆46Updated 3 years ago
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆202Updated 6 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆54Updated 4 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆89Updated 3 years ago
- Awesome Active Learning Paper List☆145Updated last year
- ☆68Updated 6 years ago
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a …☆370Updated last week