How many labelers do you have? A closer look at gold-standard labels
Fuente:
arXiv
Guardado en:
| Autores principales: | Cheng, Chen, Asi, Hilal, Duchi, John |
|---|---|
| Formato: | Preprint |
| Publicado: |
2022
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
On Privately Estimating a Single Parameter
por: Asi, Hilal, et al.
Publicado: (2025)
por: Asi, Hilal, et al.
Publicado: (2025)
Principled Reinforcement Learning with Human Feedback from Pairwise or $K$-wise Comparisons
por: Zhu, Banghua, et al.
Publicado: (2023)
por: Zhu, Banghua, et al.
Publicado: (2023)
Some Robustness Properties of Label Cleaning
por: Cheng, Chen, et al.
Publicado: (2025)
por: Cheng, Chen, et al.
Publicado: (2025)
Distribution free M-estimation
por: Areces, Felipe, et al.
Publicado: (2025)
por: Areces, Felipe, et al.
Publicado: (2025)
To impute or not to impute: How machine learning modelers treat missing data
por: Chen, Wanyi, et al.
Publicado: (2025)
por: Chen, Wanyi, et al.
Publicado: (2025)
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)
por: Sonntag, Daniel, et al.
Publicado: (2024)
por: Sonntag, Daniel, et al.
Publicado: (2024)
Fast and Adaptive Questionnaires for Voting Advice Applications
por: Bachmann, Fynn, et al.
Publicado: (2024)
por: Bachmann, Fynn, et al.
Publicado: (2024)
Banking on Feedback: Text Analysis of Mobile Banking iOS and Google App Reviews
por: Amirkhalili, Yekta, et al.
Publicado: (2025)
por: Amirkhalili, Yekta, et al.
Publicado: (2025)
The Duet of Representations and How Explanations Exacerbate It
por: Wan, Charles, et al.
Publicado: (2024)
por: Wan, Charles, et al.
Publicado: (2024)
Bias in the Loop: How Humans Evaluate AI-Generated Suggestions
por: Beck, Jacob, et al.
Publicado: (2025)
por: Beck, Jacob, et al.
Publicado: (2025)
Processes Matter: How ML/GAI Approaches Could Support Open Qualitative Coding of Online Discourse Datasets
por: Chen, John, et al.
Publicado: (2025)
por: Chen, John, et al.
Publicado: (2025)
How Consistent are Clinicians? Evaluating the Predictability of Sepsis Disease Progression with Dynamics Models
por: Park, Unnseo, et al.
Publicado: (2024)
por: Park, Unnseo, et al.
Publicado: (2024)
How to Strategize Human Content Creation in the Era of GenAI?
por: Esmaeili, Seyed A., et al.
Publicado: (2024)
por: Esmaeili, Seyed A., et al.
Publicado: (2024)
Adaptive conformal classification with noisy labels
por: Sesia, Matteo, et al.
Publicado: (2023)
por: Sesia, Matteo, et al.
Publicado: (2023)
Private Yet Social: How LLM Chatbots Support and Challenge Eating Disorder Recovery
por: Choi, Ryuhaerang, et al.
Publicado: (2024)
por: Choi, Ryuhaerang, et al.
Publicado: (2024)
Improving understanding and trust in AI: How users benefit from interval-based counterfactual explanations
por: Röber, Tabea E., et al.
Publicado: (2026)
por: Röber, Tabea E., et al.
Publicado: (2026)
A Learning Algorithm That Attains the Human Optimum in a Repeated Human-Machine Interaction Game
por: Isa, Jason T., et al.
Publicado: (2025)
por: Isa, Jason T., et al.
Publicado: (2025)
Navigating the Rashomon Effect: How Personalization Can Help Adjust Interpretable Machine Learning Models to Individual Users
por: Rosenberger, Julian, et al.
Publicado: (2025)
por: Rosenberger, Julian, et al.
Publicado: (2025)
Spiders Based on Anxiety: How Reinforcement Learning Can Deliver Desired User Experience in Virtual Reality Personalized Arachnophobia Treatment
por: Mahmoudi-Nejad, Athar, et al.
Publicado: (2024)
por: Mahmoudi-Nejad, Athar, et al.
Publicado: (2024)
Human-aligned Quantification of Numerical Data
por: Kolonin, Anton
Publicado: (2025)
por: Kolonin, Anton
Publicado: (2025)
Demystifying CO2: lessons from nutrition labeling and step counting
por: Filipowicz, Alexandre L. S., et al.
Publicado: (2025)
por: Filipowicz, Alexandre L. S., et al.
Publicado: (2025)
FUnc-SNE: A flexible, Fast, and Unconstrained algorithm for neighbour embeddings
por: Lambert, Pierre, et al.
Publicado: (2025)
por: Lambert, Pierre, et al.
Publicado: (2025)
Strategic Advice in the Age of Personal AI
por: Liu, Yueyang, et al.
Publicado: (2026)
por: Liu, Yueyang, et al.
Publicado: (2026)
The Double-Edged Sword of Behavioral Responses in Strategic Classification: Theory and User Studies
por: Ebrahimi, Raman, et al.
Publicado: (2024)
por: Ebrahimi, Raman, et al.
Publicado: (2024)
Fair Enough? A map of the current limitations of the requirements to have fair algorithms
por: Regoli, Daniele, et al.
Publicado: (2023)
por: Regoli, Daniele, et al.
Publicado: (2023)
A Unified SPD Token Transformer Framework for EEG Classification: Systematic Comparison of Geometric Embeddings
por: Chen, Chi-Sheng, et al.
Publicado: (2026)
por: Chen, Chi-Sheng, et al.
Publicado: (2026)
Identity-Free Deferral For Unseen Experts
por: Strong, Joshua, et al.
Publicado: (2025)
por: Strong, Joshua, et al.
Publicado: (2025)
A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction
por: Gong, Jiahui, et al.
Publicado: (2024)
por: Gong, Jiahui, et al.
Publicado: (2024)
Active Inference and Human--Computer Interaction
por: Murray-Smith, Roderick, et al.
Publicado: (2024)
por: Murray-Smith, Roderick, et al.
Publicado: (2024)
ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems
por: Li, Harry, et al.
Publicado: (2023)
por: Li, Harry, et al.
Publicado: (2023)
AGTCNet: A Graph-Temporal Approach for Principled Motor Imagery EEG Classification
por: Lim, Galvin Brice S., et al.
Publicado: (2025)
por: Lim, Galvin Brice S., et al.
Publicado: (2025)
Cluster Exploration using Informative Manifold Projections
por: Gerolymatos, Stavros, et al.
Publicado: (2023)
por: Gerolymatos, Stavros, et al.
Publicado: (2023)
iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System
por: Jiang, Xiaowei, et al.
Publicado: (2024)
por: Jiang, Xiaowei, et al.
Publicado: (2024)
Mazed and Confused: A Dataset of Cybersickness, Working Memory, Mental Load, Physical Load, and Attention During a Real Walking Task in VR
por: Setu, Jyotirmay Nag, et al.
Publicado: (2024)
por: Setu, Jyotirmay Nag, et al.
Publicado: (2024)
SAFE-D: A Spatiotemporal Detection Framework for Abnormal Driving Among Parkinson's Disease-like Drivers
por: Cao, Hangcheng, et al.
Publicado: (2025)
por: Cao, Hangcheng, et al.
Publicado: (2025)
Hard labels sampled from sparse targets mislead rotation invariant algorithms
por: Ghosh, Avrajit, et al.
Publicado: (2026)
por: Ghosh, Avrajit, et al.
Publicado: (2026)
MEDebiaser: A Human-AI Feedback System for Mitigating Bias in Multi-label Medical Image Classification
por: Shi, Shaohan, et al.
Publicado: (2025)
por: Shi, Shaohan, et al.
Publicado: (2025)
Nirvana AI Governance: How AI Policymaking Is Committing Three Old Fallacies
por: Zhang, Jiawei
Publicado: (2024)
por: Zhang, Jiawei
Publicado: (2024)
Neuro-Informed Joint Learning Enhances Cognitive Workload Decoding in Portable BCIs
por: Yang, Xiaoxiao, et al.
Publicado: (2025)
por: Yang, Xiaoxiao, et al.
Publicado: (2025)
A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment
por: Wang, Fei, et al.
Publicado: (2024)
por: Wang, Fei, et al.
Publicado: (2024)
Ejemplares similares
-
On Privately Estimating a Single Parameter
por: Asi, Hilal, et al.
Publicado: (2025) -
Principled Reinforcement Learning with Human Feedback from Pairwise or $K$-wise Comparisons
por: Zhu, Banghua, et al.
Publicado: (2023) -
Some Robustness Properties of Label Cleaning
por: Cheng, Chen, et al.
Publicado: (2025) -
Distribution free M-estimation
por: Areces, Felipe, et al.
Publicado: (2025) -
To impute or not to impute: How machine learning modelers treat missing data
por: Chen, Wanyi, et al.
Publicado: (2025)