amrit110 / Active-Learning-PapersLinks
A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.
☆66Updated 5 years ago
Alternatives and similar repositories for Active-Learning-Papers
Users that are interested in Active-Learning-Papers are comparing it to the libraries listed below
Sorting:
- Learning Loss for Active Learning Pytorch Implementation,(reproduction)☆32Updated 5 years ago
- Calibration of Convolutional Neural Networks☆168Updated 2 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 5 years ago
- ☆93Updated 4 years ago
- 1'st Place approach for CVPR 2020 Continual Learning Challenge☆46Updated 5 years ago
- Supervised NN for pre-training. with group normalization and weight standardization☆30Updated 5 years ago
- Awesome Active Learning Paper List☆143Updated last year
- Addressing Failure Prediction by Learning Model Confidence☆173Updated 2 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆94Updated 5 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆78Updated 3 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- Unofficial PyTorch Reimplementation of AutoAugment and RandAugment.☆36Updated 3 years ago
- PyTorch Implementation of Contrastive Predictive Coding for image recognition, based on research papers https://arxiv.org/abs/1807.03748 …☆81Updated 5 years ago
- This repository is for coding exercises listed in Book Hands on One Shot Learning.☆110Updated 2 years ago
- ☆47Updated last year
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆71Updated 4 years ago
- Code for the paper "Calibrating Deep Neural Networks using Focal Loss"☆160Updated last year
- ☆96Updated 4 years ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 4 years ago
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆69Updated 2 years ago
- A pytorch dataset sampler for always sampling balanced batches.☆115Updated 4 years ago
- Differentiable Data Augmentation Library☆123Updated 3 years ago
- ☆129Updated 2 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- ☆42Updated 6 years ago
- A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks☆231Updated 6 years ago
- [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels☆34Updated 4 years ago
- SSL using PyTorch☆49Updated 5 years ago