xjtushujun / meta-weight-netLinks
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
☆289Updated 3 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
Sorting:
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆352Updated 6 years ago
- ☆154Updated 5 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆175Updated 3 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆230Updated 4 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆128Updated 5 years ago
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆85Updated 5 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆223Updated 4 years ago
- A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆60Updated 3 years ago
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆169Updated 3 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆176Updated 3 years ago
- Meta Label Correction for Noisy Label Learning☆85Updated 2 years ago
- ☆175Updated 10 months ago
- The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, htt…☆145Updated 6 years ago
- Learning a Unified Classifier Incrementally via Rebalancing☆190Updated 4 years ago
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆234Updated 3 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆138Updated 5 years ago
- Code for paper "Learning to Reweight Examples for Robust Deep Learning"☆269Updated 6 years ago
- ☆132Updated 4 years ago
- Meta-Learning based Noise-Tolerant Training☆125Updated 4 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆160Updated 4 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 4 years ago
- ☆370Updated 4 years ago
- ☆172Updated 4 years ago
- SpotTune: Transfer Learning through Adaptive Fine-tuning☆90Updated 5 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆150Updated 4 years ago
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆272Updated 2 years ago
- A curated list of long-tailed recognition resources.☆584Updated 2 years ago
- The implementation of https://papers.nips.cc/paper/7352-tadam-task-dependent-adaptive-metric-for-improved-few-shot-learning . TADAM is a …☆107Updated 3 years ago
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆341Updated 5 years ago