Pref-GUIDE Dataset
Fuente:
Zenodo
Guardado en:
| Autor principal: | Ji, Zhengran |
|---|---|
| Formato: | Recurso digital |
| Lenguaje: | inglés |
| Publicado: |
Zenodo
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Pref-GUIDE: Continual Policy Learning from Real-Time Human Feedback via Preference-Based Learning
por: Ji, Zhengran, et al.
Publicado: (2025)
por: Ji, Zhengran, et al.
Publicado: (2025)
GUIDE: Real-Time Human-Shaped Agents
por: Zhang, Lingyu, et al.
Publicado: (2024)
por: Zhang, Lingyu, et al.
Publicado: (2024)
CREW: Facilitating Human-AI Teaming Research
por: Zhang, Lingyu, et al.
Publicado: (2024)
por: Zhang, Lingyu, et al.
Publicado: (2024)
PrefPoE: Advantage-Guided Preference Fusion for Learning Where to Explore
por: Lin, Zhihao, et al.
Publicado: (2025)
por: Lin, Zhihao, et al.
Publicado: (2025)
GUIDE: Guided Initialization and Distillation of Embeddings
por: Trinh, Khoa, et al.
Publicado: (2025)
por: Trinh, Khoa, et al.
Publicado: (2025)
FedPref: Federated Learning Across Heterogeneous Multi-objective Preferences
por: Hartmann, Maria, et al.
Publicado: (2025)
por: Hartmann, Maria, et al.
Publicado: (2025)
GUIDE: Guidance-based Incremental Learning with Diffusion Models
por: Cywiński, Bartosz, et al.
Publicado: (2024)
por: Cywiński, Bartosz, et al.
Publicado: (2024)
Enabling Multi-Robot Collaboration from Single-Human Guidance
por: Ji, Zhengran, et al.
Publicado: (2024)
por: Ji, Zhengran, et al.
Publicado: (2024)
Crowd-PrefRL: Preference-Based Reward Learning from Crowds
por: Chhan, David, et al.
Publicado: (2024)
por: Chhan, David, et al.
Publicado: (2024)
GUIDE: Towards Scalable Advising for Research Ideas
por: Liu, Yaowenqi, et al.
Publicado: (2025)
por: Liu, Yaowenqi, et al.
Publicado: (2025)
IF-GUIDE: Influence Function-Guided Detoxification of LLMs
por: Coalson, Zachary, et al.
Publicado: (2025)
por: Coalson, Zachary, et al.
Publicado: (2025)
CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation
por: Unell, Alyssa, et al.
Publicado: (2025)
por: Unell, Alyssa, et al.
Publicado: (2025)
GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes
por: Khamesian, Saman, et al.
Publicado: (2026)
por: Khamesian, Saman, et al.
Publicado: (2026)
GUIDE-VAE: Advancing Data Generation with User Information and Pattern Dictionaries
por: Bölat, Kutay, et al.
Publicado: (2024)
por: Bölat, Kutay, et al.
Publicado: (2024)
GUIDE-AI: Guidelines for Unified Imaging Dataset Development and Assessment for Artificial Intelligence
por: Pinto-Coelho, Luís
Publicado: (2026)
por: Pinto-Coelho, Luís
Publicado: (2026)
ReGUIDE: Data Efficient GUI Grounding via Spatial Reasoning and Search
por: Lee, Hyunseok, et al.
Publicado: (2025)
por: Lee, Hyunseok, et al.
Publicado: (2025)
PrefBench: Evaluating Zero-Shot LLM Agents in Hidden-Preference Personalized Pricing Negotiations
por: Lei, Yingjie
Publicado: (2026)
por: Lei, Yingjie
Publicado: (2026)
ORAN-GUIDE: RAG-Driven Prompt Learning for LLM-Augmented Reinforcement Learning in O-RAN Network Slicing
por: Lotfi, Fatemeh, et al.
Publicado: (2025)
por: Lotfi, Fatemeh, et al.
Publicado: (2025)
GUIDE-US: Grade-Informed Unpaired Distillation of Encoder Knowledge from Histopathology to Micro-UltraSound
por: Willis, Emma, et al.
Publicado: (2026)
por: Willis, Emma, et al.
Publicado: (2026)
Boosting the Cross-Architecture Generalization of Dataset Distillation through an Empirical Study
por: Zhao, Lirui, et al.
Publicado: (2023)
por: Zhao, Lirui, et al.
Publicado: (2023)
$μ$GUIDE: a framework for quantitative imaging via generalized uncertainty-driven inference using deep learning
por: Jallais, Maëliss, et al.
Publicado: (2023)
por: Jallais, Maëliss, et al.
Publicado: (2023)
FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection
por: Coursey, Austin, et al.
Publicado: (2024)
por: Coursey, Austin, et al.
Publicado: (2024)
A Korean Legal Judgment Prediction Dataset for Insurance Disputes
por: Kwak, Alice Saebom, et al.
Publicado: (2024)
por: Kwak, Alice Saebom, et al.
Publicado: (2024)
Towards Precision Protein-Ligand Affinity Prediction Benchmark: A Complete and Modification-Aware DAVIS Dataset
por: Wu, Ming-Hsiu, et al.
Publicado: (2025)
por: Wu, Ming-Hsiu, et al.
Publicado: (2025)
Dataset Growth
por: Qin, Ziheng, et al.
Publicado: (2024)
por: Qin, Ziheng, et al.
Publicado: (2024)
R&F-Inventory: A Large-Scale Dataset for Monotonic Inventory Estimation in Reach and Frequency Advertising
por: Peng, Yunshan, et al.
Publicado: (2026)
por: Peng, Yunshan, et al.
Publicado: (2026)
Zero-Shot Conversational Stance Detection: Dataset and Approaches
por: Ding, Yuzhe, et al.
Publicado: (2025)
por: Ding, Yuzhe, et al.
Publicado: (2025)
Reasoning Through Execution: Unifying Process and Outcome Rewards for Code Generation
por: Yu, Zhuohao, et al.
Publicado: (2024)
por: Yu, Zhuohao, et al.
Publicado: (2024)
Building Better Datasets: Seven Recommendations for Responsible Design from Dataset Creators
por: Orr, Will, et al.
Publicado: (2024)
por: Orr, Will, et al.
Publicado: (2024)
What is Dataset Distillation Learning?
por: Yang, William, et al.
Publicado: (2024)
por: Yang, William, et al.
Publicado: (2024)
Distilling Long-tailed Datasets
por: Zhao, Zhenghao, et al.
Publicado: (2024)
por: Zhao, Zhenghao, et al.
Publicado: (2024)
EvoPref: Multi-Objective Evolutionary Optimization Discovers Diverse LLM Alignments Beyond Gradient Descent
por: Guo, Dongxin, et al.
Publicado: (2026)
por: Guo, Dongxin, et al.
Publicado: (2026)
Diffusion Models as Dataset Distillation Priors
por: Su, Duo, et al.
Publicado: (2025)
por: Su, Duo, et al.
Publicado: (2025)
Multimodal Datasets with Controllable Mutual Information
por: Hashmani, Raheem Karim, et al.
Publicado: (2025)
por: Hashmani, Raheem Karim, et al.
Publicado: (2025)
Measuring the Validity of Clustering Validation Datasets
por: Jeon, Hyeon, et al.
Publicado: (2025)
por: Jeon, Hyeon, et al.
Publicado: (2025)
Technical Report on Text Dataset Distillation
por: Ogawa, Keith Ando, et al.
Publicado: (2025)
por: Ogawa, Keith Ando, et al.
Publicado: (2025)
Collaborative Prediction: To Join or To Disjoin Datasets
por: Kim, Kyung Rok, et al.
Publicado: (2025)
por: Kim, Kyung Rok, et al.
Publicado: (2025)
Dataset Difficulty and the Role of Inductive Bias
por: Kwok, Devin, et al.
Publicado: (2024)
por: Kwok, Devin, et al.
Publicado: (2024)
AI Competitions and Benchmarks: Dataset Development
por: Egele, Romain, et al.
Publicado: (2024)
por: Egele, Romain, et al.
Publicado: (2024)
Is Adversarial Training with Compressed Datasets Effective?
por: Chen, Tong, et al.
Publicado: (2024)
por: Chen, Tong, et al.
Publicado: (2024)
Ejemplares similares
-
Pref-GUIDE: Continual Policy Learning from Real-Time Human Feedback via Preference-Based Learning
por: Ji, Zhengran, et al.
Publicado: (2025) -
GUIDE: Real-Time Human-Shaped Agents
por: Zhang, Lingyu, et al.
Publicado: (2024) -
CREW: Facilitating Human-AI Teaming Research
por: Zhang, Lingyu, et al.
Publicado: (2024) -
PrefPoE: Advantage-Guided Preference Fusion for Learning Where to Explore
por: Lin, Zhihao, et al.
Publicado: (2025) -
GUIDE: Guided Initialization and Distillation of Embeddings
por: Trinh, Khoa, et al.
Publicado: (2025)