Copertina

Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pan, Shuaiqun, Vermetten, Diederick, López-Ibáñez, Manuel, Bäck, Thomas, Wang, Hao
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations
di: Pan, Shuaiqun, et al.
Pubblicazione: (2025)

In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics
di: van Stein, Niki, et al.
Pubblicazione: (2024)

Explainable Benchmarking for Iterative Optimization Heuristics
di: van Stein, Niki, et al.
Pubblicazione: (2024)

Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms
di: Pan, Shuaiqun, et al.
Pubblicazione: (2025)

Large-scale Benchmarking of Metaphor-based Optimization Heuristics
di: Vermetten, Diederick, et al.
Pubblicazione: (2024)

Exploration of Pareto-preserving Search Space Transformations in Multi-objective Test Functions
di: Vermetten, Diederick, et al.
Pubblicazione: (2026)

LiveAgentBench: Comprehensive Benchmarking of Agentic Systems Across 104 Real-World Challenges
di: Li, Hao, et al.
Pubblicazione: (2026)

Using the Empirical Attainment Function for Analyzing Single-objective Black-box Optimization Algorithms
di: López-Ibáñez, Manuel, et al.
Pubblicazione: (2024)

Evolving Embodied Intelligence: Graph Neural Network--Driven Co-Design of Morphology and Control in Soft Robotics
di: Wang, Jianqiang, et al.
Pubblicazione: (2026)

Transferable Expertise for Autonomous Agents via Real-World Case-Based Learning
di: Ma, Zhenyu, et al.
Pubblicazione: (2026)

MO-IOHinspector: Anytime Benchmarking of Multi-Objective Algorithms using IOHprofiler
di: Vermetten, Diederick, et al.
Pubblicazione: (2024)

Generalized Adaptive Transfer Network: Enhancing Transfer Learning in Reinforcement Learning Across Domains
di: Verma, Abhishek, et al.
Pubblicazione: (2025)

Memory Transfer Learning: How Memories are Transferred Across Domains in Coding Agents
di: Kim, Kangsan, et al.
Pubblicazione: (2026)

Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success
di: Bredis, George, et al.
Pubblicazione: (2025)

$τ$-Voice: Benchmarking Full-Duplex Voice Agents on Real-World Domains
di: Ray, Soham, et al.
Pubblicazione: (2026)

Empirical Analysis of the Dynamic Binary Value Problem with IOHprofiler
di: Vermetten, Diederick, et al.
Pubblicazione: (2024)

Transferable XAI: Relating Understanding Across Domains with Explanation Transfer
di: Wang, Fei, et al.
Pubblicazione: (2026)

$τ$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
di: Yao, Shunyu, et al.
Pubblicazione: (2024)

TerminalWorld: Benchmarking Agents on Real-World Terminal Tasks
di: Chu, Zhaoyang, et al.
Pubblicazione: (2026)

MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains
di: Yin, Guoli, et al.
Pubblicazione: (2024)

LATTLE: LLM Attention Transplant for Transfer Learning of Tabular Data Across Disparate Domains
di: Kowsar, Ibna, et al.
Pubblicazione: (2025)

Eye image segmentation using visual and concept prompts with Segment Anything Model 3 (SAM3)
di: Niehorster, Diederick C., et al.
Pubblicazione: (2026)

Interpreting Affine Recurrence Learning in GPT-style Transformers
di: Bhargav, Samarth, et al.
Pubblicazione: (2024)

A Standardized Benchmark Set of Clustering Problem Instances for Comparing Black-Box Optimizers
di: Vermetten, Diederick, et al.
Pubblicazione: (2025)

DiffuSyn Bench: Evaluating Vision-Language Models on Real-World Complexities with Diffusion-Generated Synthetic Benchmarks
di: Zhou, Haokun, et al.
Pubblicazione: (2024)

HalluMix: A Task-Agnostic, Multi-Domain Benchmark for Real-World Hallucination Detection
di: Emery, Deanna, et al.
Pubblicazione: (2025)

EMMA: Generalizing Real-World Robot Manipulation via Generative Visual Transfer
di: Dong, Zhehao, et al.
Pubblicazione: (2025)

VerifyBench: A Systematic Benchmark for Evaluating Reasoning Verifiers Across Domains
di: Li, Xuzhao, et al.
Pubblicazione: (2025)

Beyond Synthetic Benchmarks: Evaluating LLM Performance on Real-World Class-Level Code Generation
di: Rahman, Musfiqur, et al.
Pubblicazione: (2025)

The ORCA Benchmark: Evaluating Real-World Calculation Accuracy in Large Language Models
di: Herambourg, Claudia, et al.
Pubblicazione: (2025)

Delta Sampling: Data-Free Knowledge Transfer Across Diffusion Models
di: Gao, Zhidong, et al.
Pubblicazione: (2025)

Enactor: From Traffic Simulators to Surrogate World Models
di: Ranjan, Yash, et al.
Pubblicazione: (2026)

Patient-Zero: Scaling Synthetic Patient Agents to Real-World Distributions without Real Patient Data
di: Lai, Yunghwei, et al.
Pubblicazione: (2025)

Surrogate Benchmarks for Model Merging Optimization
di: Akizuki, Rio, et al.
Pubblicazione: (2025)

Multi-Domain ABSA Conversation Dataset Generation via LLMs for Real-World Evaluation and Model Comparison
di: Pandit, Tejul, et al.
Pubblicazione: (2025)

NeoRL-2: Near Real-World Benchmarks for Offline Reinforcement Learning with Extended Realistic Scenarios
di: Gao, Songyi, et al.
Pubblicazione: (2025)

LEyes: A Lightweight Framework for Deep Learning-Based Eye Tracking using Synthetic Eye Images
di: Byrne, Sean Anthony, et al.
Pubblicazione: (2023)

MCP-Persona: Benchmarking LLM Agents on Real-World Personal Applications via Environment Simulation
di: Wang, Wenhao, et al.
Pubblicazione: (2026)

SQL-Exchange: Transforming SQL Queries Across Domains
di: Daviran, Mohammadreza, et al.
Pubblicazione: (2025)

Beyond Itinerary Planning-A Real-World Benchmark for Multi-Turn and Tool-Using Travel Tasks
di: Cheng, Xiang, et al.
Pubblicazione: (2025)