Co-occurring keywords · papers mentioning both
Papers
SoliReward: Mitigating Susceptibility to Reward Hacking and Annotation Noise in Video Generation Reward Models
CVPR 2026
Adaptive Deep Learning from Crowds
IJCAI 2025
Noise-Aware Evaluation of Object Detectors
WACV 2025
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise
AAAI 2024
Is a picture of a bird a bird? A mixed-methods approach to understanding diverse human perspectives and ambiguity in machine vision models
COLING 2024
Addressing NER Annotation Noises with Uncertainty-Guided Tree-Structured CRFs
EMNLP 2023
CleanCoNLL: A Nearly Noise-Free Named Entity Recognition Dataset
EMNLP 2023
Comparative evaluation of boundary-relaxed annotation for Entity Linking performance
ACL 2023
NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing
ACL 2023
SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition
ACL 2023
Learning from Crowds by Modeling Common Confusions
AAAI 2021
Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles
AAAI 2020
Modeling Noisy Annotations for Crowd Counting
NeurIPS 2020
Soft Facial Landmark Detection by Label Distribution Learning
AAAI 2019
Detecting annotation noise in automatically labelled data
ACL 2017
How Far Are We From Solving Pedestrian Detection?
CVPR 2016
Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy
ICML 2014