cjshui / WAALLinks
Wasserstein Adversarial Active Learning
☆29Updated 4 years ago
Alternatives and similar repositories for WAAL
Users that are interested in WAAL are comparing it to the libraries listed below
Sorting:
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆94Updated 8 months ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆103Updated last year
- An implementation of the BADGE batch active learning algorithm.☆207Updated last year
- Reusable BatchBALD implementation☆79Updated last year
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated last year
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆142Updated 2 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆152Updated 2 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆88Updated 3 years ago
- ☆46Updated 4 years ago
- ☆40Updated 5 years ago
- NumPy library for calibration metrics☆73Updated 4 months ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆54Updated 2 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆161Updated last year
- Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)☆44Updated 3 years ago
- Metrics for out-of-distribution (OOD) detection performance evaluation☆48Updated 5 months ago
- Calibration of Convolutional Neural Networks☆166Updated 2 years ago
- A greedy implementation of coreset based active learning for image classification (https://arxiv.org/abs/1708.00489)☆23Updated 4 years ago
- ☆37Updated 4 years ago
- ☆66Updated 5 years ago
- Code for "Deal: Deep Evidential Active Learning for Image Classification" (ICMLA 2020)☆21Updated 4 years ago
- ☆58Updated 3 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆53Updated 3 years ago
- Combating hidden stratification with GEORGE☆63Updated 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…☆181Updated last year
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆41Updated last year
- 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
- Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift☆37Updated 4 years ago
- Reliability diagrams visualize whether a classifier model needs calibration☆152Updated 3 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆137Updated 11 months ago
- [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift☆108Updated last year