ShiYunyi / Meta-Weight-Net_Code-OptimizationLinks
A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
☆62Updated 4 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
Sorting:
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Updated 4 years ago
- ☆15Updated 2 years ago
- Code for the paper "Progressive Identification of True Labels for Partial-Label Learning".☆52Updated 5 years ago
- This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.☆47Updated 2 years ago
- [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…☆49Updated 3 years ago
- An update-to-date list for papers related with label-noise representation learning is here.☆91Updated 4 years ago
- Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆38Updated 4 years ago
- Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowl…☆119Updated 3 years ago
- ☆49Updated 3 years ago
- ☆35Updated 4 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆86Updated last year
- Paper of out of distribution detection and generalization☆56Updated 2 years ago
- Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…☆42Updated 2 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆291Updated 4 years ago
- Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’☆20Updated 5 years ago
- Co^2L: Contrastive Continual Learning (ICCV2021)☆99Updated 3 years ago
- TPAMI: Classification with noisy labels by importance reweighting.☆40Updated 6 years ago
- ☆44Updated 3 months ago
- ☆10Updated 3 years ago
- CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆95Updated 3 years ago
- ☆17Updated 2 years ago
- AAAI 2021: Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise☆35Updated 4 years ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆50Updated 5 months ago
- Source code for NeurIPS 2022 paper SoLar☆30Updated 2 years ago
- Build PyTorch CIFAR100 using coarse labels☆39Updated 5 years ago
- PyTorch implementation of our NeurIPS 2021 paper "Class-Incremental Learning via Dual Augmentation"☆40Updated 3 years ago
- A collection of model transferability estimation methods.☆32Updated last year
- PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984☆225Updated 2 years ago
- Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)☆53Updated 3 years ago
- Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆56Updated 3 years ago