Co-occurring keywords · papers mentioning both
Papers
Improving Animal Pose Estimation through Species Similarity Measures and Rigorous Label Definition
WACV 2026
Task Assignment meets Annotator Modeling: Human-LLM Collaborative Annotation with Constraints
ACL 2026
A General Model for Aggregating Annotations AcrossSimple, Complex, and Multi-object Annotation Tasks (Abstract Reprint)
AAAI 2024
Efficient Online Crowdsourcing with Complex Annotations
AAAI 2024
“Get Their Hands Dirty, Not Mine”: On Researcher-Annotator Collaboration and the Agency of Annotators
ACL 2024
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
NeurIPS 2024
MEGAnno+: A Human-LLM Collaborative Annotation System
EACL 2024
AQuA: A Benchmarking Tool for Label Quality Assessment
NeurIPS 2023
Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting
ACL 2023
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL
EMNLP 2023
When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset
ACL 2023
SMART: An Open Source Data Labeling Platform for Supervised Learning
JMLR 2019
Fidelity-Weighted Learning
ICLR 2018
On the Importance of Label Quality for Semantic Segmentation
CVPR 2018
Obtaining High-Quality Label by Distinguishing between Easy and Hard Items in Crowdsourcing
IJCAI 2017
Approval Voting and Incentives in Crowdsourcing
ICML 2015
Ranking annotators for crowdsourced labeling tasks
NeurIPS 2011