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

A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint) AAAI 2024
Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning ACL 2024
Can Active Label Correction Improve LLM-based Modular AI Systems? EMNLP 2024
A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise? CVPR 2024
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations NIPS 2024
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood AAAI 2024
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise AAAI 2024
Co-training for Low Resource Scientific Natural Language Inference ACL 2024
Federated Label-Noise Learning with Local Diversity Product Regularization AAAI 2024
Learning from Noisy Labels via Conditional Distributionally Robust Optimization NIPS 2024
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning ACL 2024
Label Noise Robustness of Conformal Prediction JMLR 2024
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning AAAI 2024
What Makes Partial-Label Learning Algorithms Effective? NIPS 2024
Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments AAAI 2024
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels AAAI 2024
Generalization Bounds for Label Noise Stochastic Gradient Descent AISTATS 2024
Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations EACL 2024
Denoising Labeled Data for Comment Moderation Using Active Learning COLING 2024
Suppressing Uncertainty in Gaze Estimation AAAI 2024
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes NIPS 2024
CoSW: Conditional Sample Weighting for Smoke Segmentation with Label Noise NIPS 2024
IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing NIPS 2024
Prototypical Mixing and Retrieval-Based Refinement for Label Noise-Resistant Image Retrieval ICCV 2023
Late Stopping: Avoiding Confidently Learning from Mislabeled Examples ICCV 2023