xiaoboxia / Part-dependent-label-noiseLinks
NeurIPS'2020: Part-dependent Label Noise: Towards Instance-dependent Label Noise
☆61Updated 4 years ago
Alternatives and similar repositories for Part-dependent-label-noise
Users that are interested in Part-dependent-label-noise are comparing it to the libraries listed below
Sorting:
- ICLR‘2021: Robust Early-learning: Hindering the Memorization of Noisy Labels☆78Updated 4 years ago
 - NeurIPS'2019: Are Anchor Points Really Indispensable in Label-Noise Learning?☆100Updated 4 years ago
 - TPAMI: Classification with noisy labels by importance reweighting.☆40Updated 6 years ago
 - [ICML'2022] Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network☆21Updated 3 years ago
 - [ECCV 2022] A generalized long-tailed challenge that incorporates both the conventional class-wise imbalance and the overlooked attribute…☆125Updated last year
 - A pytorch implementation for "Neighborhood Collective Estimation for Noisy Label Identification and Correction", which is accepted by ECC…☆26Updated 2 years ago
 - CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels☆95Updated 3 years ago
 - This is a method of dataset condensation, and it has been accepted by CVPR-2022.☆71Updated last year
 - Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"☆55Updated 3 years ago
 - Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)☆38Updated 4 years ago
 - ☆14Updated 2 years ago
 - ☆30Updated 2 years ago
 - Official Implementation of Robust Training under Label Noise by Over-parameterization☆64Updated 3 years ago
 - Awesome-open-world-learning☆26Updated 4 years ago
 - Improving Calibration for Long-Tailed Recognition (CVPR2021)☆149Updated 3 years ago
 - [ICLR 2022] Open-World Semi-Supervised Learning☆105Updated 3 years ago
 - Code for CVPR2020 ‘Training Noise Robust Deep Neural Networks via Meta-Learning’☆20Updated 5 years ago
 - NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"☆40Updated 3 years ago
 - ☆60Updated 3 years ago
 - Official Pytorch implementation of "Learning Debiased Representation via Disentangled Feature Augmentation (Neurips 2021, Oral)"☆104Updated 2 years ago
 - Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning☆44Updated 2 years ago
 - ☆61Updated 3 years ago
 - [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆49Updated 2 months ago
 - This repository is the official Pytorch implementation of Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Re…☆165Updated 3 years ago
 - [ CVPR 2021 Oral ] Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution"☆102Updated 4 years ago
 - ☆26Updated 2 years ago
 - Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting☆132Updated 2 years ago
 - PyTorch implementation of our Adam-NSCL algorithm from our CVPR2021 (oral) paper "Training Networks in Null Space for Continual Learning"☆66Updated 4 years ago
 - A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.☆62Updated 4 years ago
 - Code for our paper: Samuel and Chechik, "Distributional Robustness Loss for Long-tail Learning"☆32Updated 3 years ago