conftrace_

label noise

498 papers

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Co-occurring keywords

noisy label (321) noisy label learning (163) deep neural network (1803) semi-supervised learning (2341) weakly supervised learning (1328) text classification (6793) image classification (1944) data augmentation (3052) representation learning (6206) active learning (1301)

Papers

PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning ACL 2022
CML: A Contrastive Meta Learning Method to Estimate Human Label Confidence Scores and Reduce Data Collection Cost ACL 2022
Partially Humanizing Weak Supervision: Towards a Better Low Resource Pipeline for Spoken Language Understanding EMNLP 2022
Prototype-Representations for Training Data Filtering in Weakly-Supervised Information Extraction EMNLP 2022
On Learning Contrastive Representations for Learning With Noisy Labels CVPR 2022
Robustness to Label Noise Depends on the Shape of the Noise Distribution NIPS 2022
WeaNF”:" Weak Supervision with Normalizing Flows ACL 2022
Label Errors in BANKING77 ACL 2022
FedCorr: Multi-Stage Federated Learning for Label Noise Correction CVPR 2022
Multi-Label Classification With Partial Annotations Using Class-Aware Selective Loss CVPR 2022
Online Continual Learning on a Contaminated Data Stream With Blurry Task Boundaries CVPR 2022
Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization NIPS 2022
Confidence-based Reliable Learning under Dual Noises NIPS 2022
Towards a Robust Differentiable Architecture Search Under Label Noise WACV 2022
Trusted Loss Correction for Noisy Multi-Label Learning ACML 2022
Fair Classification with Instance-dependent Label Noise CLEAR 2022
SemEval-2021 Task 12: Learning with Disagreements IJCNLP 2021
Learning Neural Network Subspaces ICML 2021
Improved Regularization and Robustness for Fine-tuning in Neural Networks NIPS 2021
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021
SemEval-2021 Task 12: Learning with Disagreements SEMEVAL 2021
Correlated Input-Dependent Label Noise in Large-Scale Image Classification CVPR 2021
Boosting Multi-task Learning Through Combination of Task Labels - with Applications in ECG Phenotyping AAAI 2021
Generalized DataWeighting via Class-Level Gradient Manipulation NIPS 2021
Asymmetric Loss Functions for Learning with Noisy Labels ICML 2021