label noise

Universalizing Weak Supervision ICLR 2022 Unregulated Chinese-to-English Data Expansion Does NOT Work for Neural Event Detection COLING 2022 WeaNF”:" Weak Supervision with Normalizing Flows ACL 2022 What Happens after SGD Reaches Zero Loss? --A Mathematical Framework ICLR 2022 Adaptive Label Noise Cleaning With Meta-Supervision for Deep Face Recognition ICCV 2021 Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees ICML 2021 Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins ICML 2021 A Second-Order Approach to Learning With Instance-Dependent Label Noise CVPR 2021 Asymmetric Loss Functions for Learning with Noisy Labels ICML 2021 Augmentation Strategies for Learning With Noisy Labels CVPR 2021 A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective JMLR 2021 AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation CVPR 2021 BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition ACL 2021 Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning NAACL 2021 Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise AAAI 2021 Boosting Multi-task Learning Through Combination of Task Labels - with Applications in ECG Phenotyping AAAI 2021 Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial NeurIPS 2021 Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling AAAI 2021 Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels ICML 2021 Confidence Scores Make Instance-dependent Label-noise Learning Possible ICML 2021 Correlated Input-Dependent Label Noise in Large-Scale Image Classification CVPR 2021 DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions CVPR 2021 Detecting Atrial Fibrillation in ICU Telemetry data with Weak Labels MLHC 2021 Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training EMNLP 2021 Distantly Supervised Relation Extraction in Federated Settings EMNLP 2021