Copertina

Efficient Visual Appearance Optimization by Learning from Prior Preferences

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Zhipeng, Liao, Yi-Chi, Holz, Christian
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Human-Computer Interaction Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Preference-Guided Prompt Optimization for Text-to-Image Generation
di: Li, Zhipeng, et al.
Pubblicazione: (2026)

Automating UI Optimization through Multi-Agentic Reasoning
di: Li, Zhipeng, et al.
Pubblicazione: (2026)

Continual Human-in-the-Loop Optimization
di: Liao, Yi-Chi, et al.
Pubblicazione: (2025)

Preference-Guided Multi-Objective UI Adaptation
di: Song, Yao, et al.
Pubblicazione: (2025)

Redefining Affordance via Computational Rationality
di: Liao, Yi-Chi, et al.
Pubblicazione: (2025)

Efficient Human-in-the-Loop Optimization via Priors Learned from User Models
di: Liao, Yi-Chi, et al.
Pubblicazione: (2025)

Optimizing Data Delivery: Insights from User Preferences on Visuals, Tables, and Text
di: Luera, Reuben, et al.
Pubblicazione: (2024)

Discovering Cyclists' Visual Preferences Through Shared Bike Trajectories and Street View Images Using Inverse Reinforcement Learning
di: Ren, Kezhou, et al.
Pubblicazione: (2024)

Learning Social Fairness Preferences from Non-Expert Stakeholder Opinions in Kidney Placement
di: Telukunta, Mukund, et al.
Pubblicazione: (2024)

ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems
di: Li, Harry, et al.
Pubblicazione: (2023)

VisEvol: Visual Analytics to Support Hyperparameter Search through Evolutionary Optimization
di: Chatzimparmpas, Angelos, et al.
Pubblicazione: (2020)

Vibrotactile Preference Learning: Uncertainty-Aware Preference Learning for Personalized Vibration Feedback
di: Zhang, Rongtao, et al.
Pubblicazione: (2026)

Efficient Probabilistic Visualization of Local Divergence of 2D Vector Fields with Independent Gaussian Uncertainty
di: Ouermi, Timbwaoga A. J., et al.
Pubblicazione: (2025)

On the Pros and Cons of Active Learning for Moral Preference Elicitation
di: Keswani, Vijay, et al.
Pubblicazione: (2024)

Visualization for Trust in Machine Learning Revisited: The State of the Field in 2023
di: Chatzimparmpas, Angelos, et al.
Pubblicazione: (2024)

Hindsight PRIORs for Reward Learning from Human Preferences
di: Verma, Mudit, et al.
Pubblicazione: (2024)

Cieran: Designing Sequential Colormaps via In-Situ Active Preference Learning
di: Hong, Matt-Heun, et al.
Pubblicazione: (2024)

SituationAdapt: Contextual UI Optimization in Mixed Reality with Situation Awareness via LLM Reasoning
di: Li, Zhipeng, et al.
Pubblicazione: (2024)

The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations
di: Chatzimparmpas, A., et al.
Pubblicazione: (2022)

Making RL with Preference-based Feedback Efficient via Randomization
di: Wu, Runzhe, et al.
Pubblicazione: (2023)

Deep Attention-based Sequential Ensemble Learning for BLE-Based Indoor Localization in Care Facilities
di: Pham, Minh Triet, et al.
Pubblicazione: (2026)

Perception-Driven Bias Detection in Machine Learning via Crowdsourced Visual Judgment
di: Tupakula, Chirudeep, et al.
Pubblicazione: (2025)

MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis
di: Huang, Zeyang, et al.
Pubblicazione: (2026)

Uncertainty Tube Visualization of Particle Trajectories
di: Li, Jixian, et al.
Pubblicazione: (2025)

Deep Learning-Based Visual Fatigue Detection Using Eye Gaze Patterns in VR
di: Zafar, Numan, et al.
Pubblicazione: (2025)

Learning a Canonical Basis of Human Preferences from Binary Ratings
di: Vodrahalli, Kailas, et al.
Pubblicazione: (2025)

Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference
di: Hohman, Fred, et al.
Pubblicazione: (2024)

EEGEncoder: Advancing BCI with Transformer-Based Motor Imagery Classification
di: Liao, Wangdan, et al.
Pubblicazione: (2024)

Beyond Labels: Information-Efficient Human-in-the-Loop Learning using Ranking and Selection Queries
di: Martín-Urcelay, Belén, et al.
Pubblicazione: (2026)

Translating Multimodal AI into Real-World Inspection: TEMAI Evaluation Framework and Pathways for Implementation
di: Li, Zehan, et al.
Pubblicazione: (2025)

Visualization Tasks for Unlabeled Graphs
di: Oddo, Matt I. B., et al.
Pubblicazione: (2025)

Multimodal Appearance based Gaze-Controlled Virtual Keyboard with Synchronous Asynchronous Interaction for Low-Resource Settings
di: Meena, Yogesh Kumar, et al.
Pubblicazione: (2025)

Trust Your Gut: Comparing Human and Machine Inference from Noisy Visualizations
di: Koonchanok, Ratanond, et al.
Pubblicazione: (2024)

LLM-for-X: Application-agnostic Integration of Large Language Models to Support Personal Writing Workflows
di: Teufelberger, Lukas, et al.
Pubblicazione: (2024)

RelMap: Reliable Spatiotemporal Sensor Data Visualization via Imputative Spatial Interpolation
di: Chen, Juntong, et al.
Pubblicazione: (2025)

AVERE: Improving Audiovisual Emotion Reasoning with Preference Optimization
di: Chaubey, Ashutosh, et al.
Pubblicazione: (2026)

The Role of Visualization in LLM-Assisted Knowledge Graph Systems: Effects on User Trust, Exploration, and Workflows
di: Li, Harry, et al.
Pubblicazione: (2025)

Cluster-Based Random Forest Visualization and Interpretation
di: Sondag, Max, et al.
Pubblicazione: (2025)

Stop Misusing t-SNE and UMAP for Visual Analytics
di: Jeon, Hyeon, et al.
Pubblicazione: (2025)

Visual Exploration of Stopword Probabilities in Topic Models
di: Xue, Shuangjiang, et al.
Pubblicazione: (2025)