xjtushujun / meta-weight-netLinks
NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).
☆291Updated 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
Sorting:
- PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning☆354Updated 6 years ago
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆90Updated 6 years ago
- PyTorch implementation of the paper "Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels" in NIPS 2018☆130Updated 6 years ago
- Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction☆225Updated 5 years ago
- (ECCV 2020) Cross-Domain Few-Shot Learning Benchmarking System☆233Updated 5 years ago
- Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Norma…☆162Updated 4 years ago
- [NeurIPS 2020] Released code for Interventional Few-Shot Learning☆170Updated 4 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆518Updated 4 years ago
- Pytorch Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.☆177Updated 4 years ago
- Learning What and Where to Transfer (ICML 2019)☆250Updated 5 years ago
- CVPR'20: Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization☆127Updated 2 years ago
- This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.☆236Updated 4 years ago
- Learning deep representations by mutual information estimation and maximization☆322Updated 6 years ago
- ☆132Updated 4 years ago
- Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation (ICLR 2020 spotlight)☆349Updated 5 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆79Updated 5 years ago
- The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, htt…☆149Updated 6 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆175Updated 4 years ago
- PyTorch implementation of “Negative Margin Matters: Understanding Margin in Few-shot Classification”☆151Updated 4 years ago
- ☆178Updated last year
- Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).☆164Updated 5 years ago
- [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration☆474Updated 4 years ago
- Meta-Learning based Noise-Tolerant Training☆123Updated 5 years ago
- Feature-Critic Networks for Heterogeneous Domain Generalisation☆55Updated 6 years ago
- Boosting Few-Shot Visual Learning with Self-Supervision☆139Updated 6 years ago
- ☆157Updated 5 years ago
- Learning a Unified Classifier Incrementally via Rebalancing☆194Updated 4 years ago
- The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"☆433Updated 5 years ago
- An update-to-date list for papers related with label-noise representation learning is here.☆90Updated 4 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