conftrace_

noisy label

321 papers

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Co-occurring keywords

label noise (498) noisy label learning (163) deep neural network (1803) weakly supervised learning (1328) semi-supervised learning (2341) distant supervision (315) robust learning (120) text classification (6793) convolutional neural network (4226) loss function (462)

Papers

Learning from Noisy Labels via Conditional Distributionally Robust Optimization NIPS 2024
Trustworthy Machine Learning under Imperfect Data IJCAI 2024
Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking CVPR 2023
RONO: Robust Discriminative Learning With Noisy Labels for 2D-3D Cross-Modal Retrieval CVPR 2023
Improving Image Recognition by Retrieving From Web-Scale Image-Text Data CVPR 2023
Distantly-Supervised Named Entity Recognition with Adaptive Teacher Learning and Fine-Grained Student Ensemble AAAI 2023
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction AAAI 2023
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance EMNLP 2023
Denoising Multi-Similarity Formulation: A Self-Paced Curriculum-Driven Approach for Robust Metric Learning AAAI 2023
R-divergence for Estimating Model-oriented Distribution Discrepancy NIPS 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples ICCV 2023
Denoising after Entropy-Based Debiasing a Robust Training Method for Dataset Bias with Noisy Labels AAAI 2023
Mitigating Memorization of Noisy Labels by Clipping the Model Prediction ICML 2023
Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples ICCV 2023
Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing WACV 2023
Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity ICML 2023
When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method ICCV 2023
Class-Independent Regularization for Learning with Noisy Labels AAAI 2023
Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data ACL 2023
A Gift from Label Smoothing: Robust Training with Adaptive Label Smoothing via Auxiliary Classifier under Label Noise AAAI 2023
Towards Accelerated Model Training via Bayesian Data Selection NIPS 2023
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels NIPS 2023
Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization ICCV 2023
SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels ACL 2023
Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model NIPS 2023