← Keywords

noisy label learning

161 papers

Explore in graph

Also known as

NL NLL LNL

Co-occurring keywords

label noise (496) noisy label (321) deep neural network (1801) semi-supervised learning (2331) representation learning (6174) image classification (1943) contrastive learning (3979) weakly supervised learning (1323) sample selection (107) label correction (34)

Papers

ProMix: Combating Label Noise via Maximizing Clean Sample Utility IJCAI 2023
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification IJCAI 2023
Fine-Grained Classification With Noisy Labels CVPR 2023
Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning NIPS 2022
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels IJCAI 2022
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network ICML 2022
Multi-Source Uncertainty Mining for Deep Unsupervised Saliency Detection CVPR 2022
Large-Scale Pre-Training for Person Re-Identification With Noisy Labels CVPR 2022
Learning With Neighbor Consistency for Noisy Labels CVPR 2022
Learning From Pixel-Level Noisy Label: A New Perspective for Light Field Saliency Detection CVPR 2022
Contrast To Divide: Self-Supervised Pre-Training for Learning With Noisy Labels WACV 2022
UniCon: Combating Label Noise Through Uniform Selection and Contrastive Learning CVPR 2022
Confidence-based Reliable Learning under Dual Noises NIPS 2022
RoLNiP: Robust Learning Using Noisy Pairwise Comparisons ACML 2022
Addressing Out-of-Distribution Label Noise in Webly-Labelled Data WACV 2022
Learning With Label Noise for Image Retrieval by Selecting Interactions WACV 2022
Clean or Annotate: How to Spend a Limited Data Collection Budget NAACL 2022
Comparison of Unsupervised Learning and Supervised Learning with Noisy Labels for Low-Resource Speech Recognition INTERSPEECH 2022
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation AAAI 2022
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification ACL 2022
Robust Product Classification with Instance-Dependent Noise ACL 2022
Divide and Denoise: Learning from Noisy Labels in Fine-Grained Entity Typing with Cluster-Wise Loss Correction ACL 2022
Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations ACL 2022
STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing EMNLP 2022
On Learning Contrastive Representations for Learning With Noisy Labels CVPR 2022