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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

Detecting Atrial Fibrillation in ICU Telemetry data with Weak Labels MLHC 2021
RNNP: A Robust Few-Shot Learning Approach WACV 2021
UOR at SemEval-2021 Task 12: On Crowd Annotations; Learning with Disagreements to optimise crowd truth IJCNLP 2021
Me-Momentum: Extracting Hard Confident Examples From Noisily Labeled Data ICCV 2021
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model AAAI 2021
Hierarchical Modeling of Label Dependency and Label Noise in Fine-grained Entity Typing IJCAI 2021
Learning Student Networks in the Wild CVPR 2021
Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning NAACL 2021
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition ACL 2021
DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions CVPR 2021
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial NIPS 2021
A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective JMLR 2021
Robust Learning under Strong Noise via SQs AISTATS 2021
Learning to Purify Noisy Labels via Meta Soft Label Corrector AAAI 2021
Multi-level Generative Models for Partial Label Learning with Non-random Label Noise IJCAI 2021
Multi-Objective Interpolation Training for Robustness To Label Noise CVPR 2021
Learning Deep Neural Networks under Agnostic Corrupted Supervision ICML 2021
Label Noise in Context ACL 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking NIPS 2020
Coupled-View Deep Classifier Learning from Multiple Noisy Annotators AAAI 2020
Identifying Incorrect Labels in the CoNLL-2003 Corpus CONLL 2020
Error-Bounded Correction of Noisy Labels ICML 2020
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels ICML 2020
How Does Label Noise Affect the Quality of Speaker Embeddings? INTERSPEECH 2020
Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods COLING 2020