NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
☆293Dec 14, 2021Updated 4 years ago
Alternatives and similar repositories for meta-weight-net
Users that are interested in meta-weight-net are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆62Aug 28, 2021Updated 4 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Sep 15, 2019Updated 6 years ago
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆355May 18, 2019Updated 6 years ago
- Code for paper "Learning to Reweight Examples for Robust Deep Learning"☆268Mar 22, 2019Updated 7 years ago
- Meta Label Correction for Noisy Label Learning☆86Sep 28, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’☆20Oct 6, 2020Updated 5 years ago
- Pytorch implementation of TPAMI2023: CMW-NetCMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning☆29Aug 18, 2023Updated 2 years ago
- This is an official PyTorch implementation of MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks☆10Jun 21, 2022Updated 3 years ago
- Meta-Learning based Noise-Tolerant Training☆122Aug 16, 2020Updated 5 years ago
- A curated list of resources for Learning with Noisy Labels☆2,719May 3, 2025Updated 11 months ago
- Reproduction of "Model-Agnostic Meta-Learning" (MAML) and "Reptile".☆189Mar 21, 2019Updated 7 years ago
- ☆28Dec 9, 2021Updated 4 years ago
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆22Jun 30, 2019Updated 6 years ago
- Code for paper: DivideMix: Learning with Noisy Labels as Semi-supervised Learning☆576Sep 14, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Gold Loss Correction☆88Dec 1, 2018Updated 7 years ago
- [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels☆141Jul 5, 2024Updated last year
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆520Aug 19, 2021Updated 4 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆224Jul 30, 2020Updated 5 years ago
- Noise-Aware Fully Webly Supervised Object Detection☆25Mar 25, 2021Updated 5 years ago
- [NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss☆699Dec 25, 2021Updated 4 years ago
- Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)☆2,479May 16, 2019Updated 6 years ago
- Learning An Explicit Weighting Scheme for Adapting Complex HSI Noise (CVPR2021)☆14Aug 21, 2021Updated 4 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆129Nov 12, 2019Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆872Jul 16, 2022Updated 3 years ago
- A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch☆2,056Jul 17, 2023Updated 2 years ago
- Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks☆327Mar 25, 2023Updated 3 years ago
- PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.☆139Jul 5, 2019Updated 6 years ago
- paper "O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks" code☆78Jul 15, 2022Updated 3 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Dec 10, 2020Updated 5 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆63Jun 12, 2020Updated 5 years ago
- Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)☆542Jul 25, 2024Updated last year
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,628Mar 25, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 202…☆978Oct 12, 2021Updated 4 years ago
- This is an official PyTorch implementation of CBA: Improving Online Continual Learning via Continual Bias Adaptor.☆17Mar 11, 2026Updated last month
- The implementation of the algorithm in the paper "Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data" published in ICML 2…☆50Aug 24, 2020Updated 5 years ago
- ☆22Oct 27, 2019Updated 6 years ago
- This is the project for IRM methods☆12Sep 13, 2021Updated 4 years ago
- PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)☆48Oct 3, 2023Updated 2 years ago
- This repository contains code for the paper "Imbalanced Semi-supervised Learning with Bias Adaptive Classifier", published at ICLR 2023.☆19May 4, 2023Updated 2 years ago