dr-darryl-wright / Noisy-Labels-with-Bootstrapping
Keras implementation of Training Deep Neural Networks on Noisy Labels with Bootstrapping, Reed et al. 2015
☆22Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Noisy-Labels-with-Bootstrapping
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆21Updated 5 years ago
- code for paper Decoupling "when to update" from "how to update" [https://arxiv.org/abs/1706.02613]☆21Updated 7 years ago
- Official repository for Reliable Label Bootstrapping☆19Updated last year
- Learning From Noisy Singly-labeled Data☆19Updated 6 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆90Updated 3 years ago
- ☆13Updated 4 years ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 4 years ago
- A PyTorch implementation for Unsupervised Data Augmentation☆23Updated 2 years ago
- Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019☆27Updated 4 years ago
- Code repository for the robust active label correction paper.☆10Updated 6 years ago
- [ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment☆62Updated 2 years ago
- Implementation of a state-of-art algorithm from the paper “Learning with Noisy Labels” , which is the first one providing “guarantees for…☆22Updated 6 years ago
- Virtual Adversarial Training (VAT) for semi-supervised MNIST written in PyTorch: https://arxiv.org/abs/1704.03976☆24Updated 5 years ago
- Implementations of knowledge distillation and knowledge transfer models in neural networks.☆22Updated 5 years ago
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆38Updated 6 years ago
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Updated 2 years ago
- Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].☆26Updated 6 years ago
- A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation☆44Updated 7 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation☆56Updated 4 years ago
- pytorch maml with Multi-GPUs, fast and simplest implementation☆13Updated 3 years ago
- Code for the paper: On Symmetric Losses for Learning from Corrupted Labels☆18Updated 5 years ago
- ☆34Updated 6 years ago
- A PyTorch Implementation of a Large Margin Deep Networks for Classification☆23Updated 5 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 3 years ago
- ☆20Updated 6 years ago
- Self-Paced Multi-view Co-training for person re-id experiment☆29Updated 3 years ago
- This repo provides code used in the paper "Predicting with High Correlation Features" (https://arxiv.org/abs/1910.00164):☆54Updated 4 years ago
- AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels☆23Updated 3 years ago