dhaalves / CEAL_keras
Implementation of "Cost-Effective Active Learning for Deep Image Classification" paper
☆35Updated 5 years ago
Alternatives and similar repositories for CEAL_keras:
Users that are interested in CEAL_keras are comparing it to the libraries listed below
- Active Learning with Partial Feedback, ICLR 2019☆11Updated 4 years ago
- Learning Loss for Active Learning Pytorch Implementation,(reproduction)☆32Updated 5 years 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
- ☆101Updated 4 years ago
- Implementation of Deep Bayesian Active Learning with Image Data with modAL (python module for Active Learning)☆26Updated 5 years ago
- Code for "Active One-shot Learning"☆33Updated 5 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆107Updated 6 months ago
- A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.☆65Updated 4 years ago
- Comparing active learning, semi-supervised learning and combination of them on deep learning.☆13Updated 7 years ago
- Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For…☆202Updated 5 years ago
- Supervised NN for pre-training. with group normalization and weight standardization☆30Updated 4 years ago
- Pytorch implementation of the paper Bayesian Generative Active Deep Learning (ICML 2019).☆24Updated 5 years ago
- SSL using PyTorch☆49Updated 5 years ago
- Active Learning using Multi Label Image Dataset☆14Updated 5 years ago
- Code for Deep Bayesian Active Learning (ICML 2017)☆112Updated 6 years ago
- supervised and semi-supervised image classification with self-supervision (Keras)☆45Updated 3 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 5 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 5 years ago
- Code accompanying the paper "A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation"☆19Updated 3 years ago
- ☆40Updated 4 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆57Updated 6 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 4 years ago
- CVPR 2018 Hierarchical Novelty Detection for Visual Object Recognition☆38Updated 6 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆69Updated 3 years ago
- Variational Adversarial Active Learning (ICCV 2019)☆226Updated last year
- Adversarial Active Learning for Deep Networks☆14Updated 6 years ago
- [CVPR 2017] Official Implementation for AIFT☆93Updated 3 years ago
- Awesome papers in few-shot learning/one-shot learning.☆30Updated 6 years ago
- Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach☆264Updated 6 years ago
- Implementation of active learning features for AxonDeepSeg software (axon-myelin segmentation)☆38Updated 6 years ago