Manuscrit / Area-Under-the-Margin-RankingLinks
Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf
☆21Updated 5 years ago
Alternatives and similar repositories for Area-Under-the-Margin-Ranking
Users that are interested in Area-Under-the-Margin-Ranking are comparing it to the libraries listed below
Sorting:
- Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…☆53Updated 4 years ago
- AAAI 2021: Robustness of Accuracy Metric and its Inspirations in Learning with Noisy Labels☆23Updated 4 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- ☆52Updated 4 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Updated 3 years ago
- PyTorch implementation of consistency regularization methods for semi-supervised learning☆78Updated 4 years ago
- Proxy A-Distance algorithm for measuring domain disparity in parallel corpora☆47Updated 3 years ago
- Official repository for Reliable Label Bootstrapping☆19Updated 2 years ago
- 90%+ with 40 labels. please see the readme for details.☆37Updated 4 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆71Updated 4 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection☆38Updated last year
- Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020☆64Updated 4 years ago
- (ICML 2021) Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. Paper Link: https://arxiv…☆44Updated 4 years ago
- Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"☆48Updated 3 years ago
- Gold Loss Correction☆87Updated 6 years ago
- Code accompanying the paper "A Generative Framework for Zero Shot Learning with Adversarial Domain Adaptation"☆20Updated 4 years ago
- ☆34Updated 6 years ago
- Deep Metric Transfer for Label Propagation with Limited Annotated Data☆49Updated 2 years ago
- Code for the paper: On Symmetric Losses for Learning from Corrupted Labels☆19Updated 6 years ago
- Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"☆153Updated 4 years ago
- Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].☆26Updated 7 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆41Updated 4 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 4 years ago
- MoPro: Webly Supervised Learning☆88Updated 3 months ago
- Improving generalization by controlling label-noise information in neural network weights.☆40Updated 4 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission☆66Updated 4 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆55Updated 4 years ago