Code for the CVPR15 paper "Learning from Massive Noisy Labeled Data for Image Classification"
☆119Feb 6, 2019Updated 7 years ago
Alternatives and similar repositories for noisy_label
Users that are interested in noisy_label are comparing it to the libraries listed below
Sorting:
- Robust loss functions for deep neural networks (CVPR 2017)☆92Jun 11, 2020Updated 5 years ago
- Code for CVPR 2016 paper on Learning from Noisy Labels☆23Aug 14, 2016Updated 9 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆225Jul 30, 2020Updated 5 years ago
- Joint Optimization Framework for Learning with Noisy Labels☆45May 4, 2018Updated 7 years ago
- Meta-Learning based Noise-Tolerant Training☆123Aug 16, 2020Updated 5 years ago
- Tensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)☆88Jun 26, 2018Updated 7 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆119Apr 25, 2017Updated 8 years ago
- Code for 'Joint Optimization Framework for Learning with Noisy Labels'☆39Aug 26, 2018Updated 7 years ago
- (L2ID@CVPR2021, TNNLS2022) Boosting Co-teaching with Compression Regularization for Label Noise☆51Feb 28, 2023Updated 3 years ago
- Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018☆58Jun 11, 2024Updated last year
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆575Sep 14, 2020Updated 5 years ago
- A curated list of resources for Learning with Noisy Labels☆2,721May 3, 2025Updated 10 months ago
- This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.☆36Aug 29, 2021Updated 4 years ago
- tensorflow-wrapped layers from Caffe☆16Nov 6, 2016Updated 9 years ago
- code for paper Decoupling "when to update" from "how to update" [https://arxiv.org/abs/1706.02613]☆22Nov 16, 2017Updated 8 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Dec 10, 2020Updated 5 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆120Jun 6, 2023Updated 2 years ago
- Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)☆100Mar 1, 2022Updated 4 years ago
- Cross-Platform Annotation Tool for Person Search Datasets☆11Aug 29, 2017Updated 8 years ago
- This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris S…☆11May 14, 2019Updated 6 years ago
- SpatialFlow: Bridging all Task for Panoptic Segmentation. In TCSVT2020☆14Nov 24, 2020Updated 5 years ago
- ☆10Jul 5, 2016Updated 9 years ago
- This is an implementation for training neural diffusion distance☆10Jan 31, 2020Updated 6 years ago
- Code repository for the robust active label correction paper.☆11Apr 12, 2018Updated 7 years ago
- Variational Bayesian GP-LVM model in MATLAB.☆12Jun 8, 2015Updated 10 years ago
- This repository contains binaries for the multiple teacher approach to learning differential private ML models: https://arxiv.org/abs/161…☆10Nov 16, 2016Updated 9 years ago
- This is the repository for our EMNLP 2022 paper "The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains".☆10Jun 2, 2023Updated 2 years ago
- ☆28Dec 9, 2021Updated 4 years ago
- NLNL: Negative Learning for Noisy Labels☆104Nov 14, 2019Updated 6 years ago
- pytorch attentional NMT(with NLL, MRT, REINFORCE, MIXER training objectives)☆13May 12, 2017Updated 8 years ago
- Code to accompany the paper "Learning Grimaces By Watching TV" and FaceValue dataset☆12Aug 4, 2018Updated 7 years ago
- Tensorflow Implementation of adversarial learning based adversarial example generator☆10Jan 31, 2018Updated 8 years ago
- some new implementation of caffe☆24Aug 11, 2016Updated 9 years ago
- Action Proposals generated by deep models☆29Mar 19, 2017Updated 8 years ago
- Webvision Challenge 2020 developer kit☆10Dec 8, 2022Updated 3 years ago
- Code for "Synthesis of Biologically Realistic Human Motion Using Joint Torque Actuation", SIGGRAPH 2019, Part 2☆13Jul 6, 2023Updated 2 years ago
- ☆15Oct 5, 2020Updated 5 years ago
- ☆32Apr 22, 2021Updated 4 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆519Aug 19, 2021Updated 4 years ago