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:
- An implementation of the BADGE batch active learning algorithm.☆208Updated last year
- Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets☆97Updated 11 months ago
- Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.☆67Updated 2 years ago
- DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.☆154Updated 2 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- NumPy library for calibration metrics☆73Updated 6 months ago
- Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.☆55Updated 2 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆144Updated 2 years ago
- Reusable BatchBALD implementation☆79Updated last year
- Combating hidden stratification with GEORGE☆64Updated 4 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆54Updated 3 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆104Updated 2 years ago
- A Benchmark for Failure Detection under Distribution Shifts in Image Classification☆34Updated 11 months ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆274Updated 6 years ago
- ☆46Updated 4 years ago
- ☆38Updated 4 years ago
- A PyTorch toolkit with 8 popular deep active learning query methods implemented.☆90Updated 4 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆139Updated 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
- This is a toolbox for Deep Active Learning, an extension from previous work https://github.com/ej0cl6/deep-active-learning (DeepAL toolbo…☆182Updated last year
- Reliability diagrams visualize whether a classifier model needs calibration☆156Updated 3 years ago
- Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization☆88Updated 3 years ago
- Awesome Active Learning Paper List☆143Updated last year
- Official Implementation of Early-Learning Regularization Prevents Memorization of Noisy Labels☆296Updated 2 years ago
- Calibration of Convolutional Neural Networks☆170Updated 2 years 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
- Robust Out-of-distribution Detection in Neural Networks☆73Updated 3 years ago
- [CVPR2021] Task-Aware Variational Adversarial Active Learning☆42Updated last year
- ☆66Updated 5 years ago