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

Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning AAAI 2024
Mitigating Label Noise through Data Ambiguation AAAI 2024
Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments AAAI 2024
IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples AAAI 2024
Structured Probabilistic Coding AAAI 2024
Collaborative Refining for Learning from Inaccurate Labels NIPS 2024
L2B: Learning to Bootstrap Robust Models for Combating Label Noise CVPR 2024
FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels AAAI 2024
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes NIPS 2024
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise NIPS 2024
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
SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024
Suppressing Uncertainty in Gaze Estimation AAAI 2024
Regroup Median Loss for Combating Label Noise AAAI 2024
Hypothesis Testing for Class-Conditional Noise Using Local Maximum Likelihood AAAI 2024
Federated Learning with Extremely Noisy Clients via Negative Distillation AAAI 2024
Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks AAAI 2024
Limited-Supervised Multi-Label Learning with Dependency Noise AAAI 2024
Toward Robustness in Multi-Label Classification: A Data Augmentation Strategy against Imbalance and Noise AAAI 2024
Coupled Confusion Correction: Learning from Crowds with Sparse Annotations AAAI 2024
Robust Node Classification on Graph Data with Graph and Label Noise AAAI 2024
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels AAAI 2024
Co-training for Low Resource Scientific Natural Language Inference ACL 2024
Federated Label-Noise Learning with Local Diversity Product Regularization AAAI 2024