A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
☆63Aug 28, 2021Updated 5 years ago
Alternatives and similar repositories for Meta-Weight-Net_Code-Optimization
Users that are interested in Meta-Weight-Net_Code-Optimization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆297Dec 14, 2021Updated 4 years ago
- pytorch☆10Apr 13, 2022Updated 4 years ago
- Pytorch implementation of TPAMI2023: CMW-NetCMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning☆30Aug 18, 2023Updated 3 years ago
- This repo is the official implementation of the ICLR'23 paper "Towards Robustness Certification Against Universal Perturbations." We calc…☆12Feb 14, 2023Updated 3 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.
- ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"☆46Oct 29, 2022Updated 3 years ago
- [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network☆21Jul 19, 2022Updated 4 years ago
- Code for AAAI 2021 long paper Learning from Crowds by Modeling Common Confusions.☆11Feb 6, 2021Updated 5 years ago
- NeurIPS 2020, "A Topological Filter for Learning with Label Noise".☆31Apr 11, 2025Updated last year
- ☆15Jul 29, 2023Updated 3 years ago
- This repository is the official implementation of the paper "ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning…☆20Jun 7, 2023Updated 3 years ago
- The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …☆20Apr 27, 2023Updated 3 years ago
- Official Implementation of Robust Training under Label Noise by Over-parameterization☆66Sep 15, 2022Updated 4 years ago
- [AAAI 21] Utilizing meta-learning to correct the noisy labels.☆15Apr 26, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [NeurIPS 2023 Spotlight] The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning☆18Nov 7, 2023Updated 2 years ago
- ☆27Apr 11, 2023Updated 3 years ago
- ☆14May 16, 2023Updated 3 years ago
- Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’☆20Oct 6, 2020Updated 5 years ago
- ☆20May 1, 2025Updated last year
- A curated (most recent) list of resources for Learning with Noisy Labels☆732Oct 18, 2024Updated last year
- Data Optimization in Deep Learning: A Survey☆19Oct 29, 2023Updated 2 years ago
- Content Moderation API for Online Chat Application☆12Dec 29, 2021Updated 4 years ago
- ☆16Jun 4, 2024Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- 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
- [CVPR 2021] This repository is the official implementation of "PML: Progressive Margin Loss for Long-tailed Age Classification."☆17Mar 13, 2024Updated 2 years ago
- A reproduced PyTorch implementation of the Adversarially Reweighted Learning (ARL) model, originally presented in "Fairness without Demog…☆21Jan 30, 2021Updated 5 years ago
- The official code for the NeurIPS 2021 paper Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels (https://arxiv.org…☆25Dec 29, 2021Updated 4 years ago
- ☆28Dec 9, 2021Updated 4 years ago
- Learning to Segment from Noisy Annotations: A Spatial Correction Approach☆20Jul 21, 2023Updated 3 years ago
- ☆25May 31, 2022Updated 4 years ago
- MetaBalance algorithm for multi-task learning☆64Feb 9, 2022Updated 4 years ago
- CVPR-2023 paper "Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting"☆27Dec 19, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Auto^6ML is a jittor library allowing users to achieve machine learning automation.☆26Sep 28, 2024Updated last year
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Jan 26, 2021Updated 5 years ago
- ☆61Apr 17, 2024Updated 2 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆42May 2, 2021Updated 5 years ago
- ☆12Oct 29, 2023Updated 2 years ago
- ☆11Jun 7, 2023Updated 3 years ago
- This is a release code of the paper "Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation"☆18May 5, 2023Updated 3 years ago