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Papers matching “strategy selection” 35

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Non-Elitist Selection Can Improve the Performance of Irace
2022 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Furong Ye, Diederick Vermetten, Carola Doerr, Thomas Bäck

0

citations
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection
2023 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury

0

citations
Automated Configuration and Usage of Strategy Portfolios for Bargaining
2022 arXiv (Cornell University) preprint Computer Science Multi-Agent Systems and Negotiation Open access

Bram M. Renting, Holger H. Hoos, Catholijn M. Jonker

0

citations
Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
Conformal Cross-Modal Active Learning
2026 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Tobias Glück, Anke Schmeink, Andreas Kugi

0

citations
Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Vanessa Schmidt, Huy Hoang Nguyen, Cédric Jung, Shirin Salehi, Anke Schmeink

0

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

1

citations
OASIC: Occlusion-Agnostic and Severity-Informed Classification
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Kay Gijzen, Gertjan J. Burghouts, Daniël M. Pelt

0

citations
OASIC: Occlusion-Agnostic and Severity-Informed Classification
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Kay Gijzen, Gertjan J. Burghouts, Daniël M. Pelt

0

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

0

citations
Exploring Information Processing in Large Language Models: Insights from Information Bottleneck Theory
2025 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Yang Zhou, Zhengyu Qi, Zhaochun Ren, Zhikai Jia, Haizhou Sun, Xiaofei Zhu, +1 more

2

citations
Repulsion dynamics for uniform Pareto front approximation in multi-objective optimization problems
2022 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Giacomo Borghi

1

citations
Poster: Towards Selecting Threat Appropriate Industrial Intrusion Detection Systems
2026 arXiv (Cornell University) preprint Computer Science Network Security and Intrusion Detection Open access

Stefan Lenz, Johannes Weidmann, Martin Henze

0

citations
Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection
2025 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Zhong Li, Yuhang Wang, Matthijs van Leeuwen

0

citations
Annotator-Centric Active Learning for Subjective NLP Tasks
2024 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Michiel van der Meer, Neele Falk, Pradeep Kumar Murukannaiah, Enrico Liscio

1

citations
Can Single Solution Optimisation Methods Be Structurally Biased?
2020 Preprints.org preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck

4

citations
A Federated Framework for LLM-based Recommendation
2024 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Jujia Zhao, Wenjie Wang, Xu Chen, See-Kiong Ng, Tat‐Seng Chua

6

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

0

citations
Active Learning for Biodiversity Monitoring: From Label Efficiency to Reliable Ecological Inference
2026 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Ben McEwen, Shiqi Zhang, Dan Stowell

0

citations
Machine Learning Optimal Quantum Error Correction Thresholds
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Dominik Seip, Luis Colmenárez, Markus Schmitt, Markus Michael Müller

0

citations
Identifying Novel Inhibitors for Hepatic Organic Ani-on Transporting Polypeptides by Machine-learning based Virtual Screening
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Alzbeta Tuerkova, Brandon J. Bongers, Ulf Norinder, Orsolya Ungvári, Virág Székely, Andrey Tarnovskiy, +4 more

2

citations
Revisiting Checkpoint Averaging for Neural Machine Translation
2022 arXiv (Cornell University) preprint Computer Science Natural Language Processing Techniques Open access

Yingbo Gao, Christian Herold, Zijian Yang, Hermann Ney

2

citations
DrugEx v2: De Novo Design of Drug Molecule by Pareto-based Multi-Objective Reinforcement Learning in Polypharmacology
2021 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Xuhan Liu, Kai Ye, Herman van Vlijmen, Michael Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen

1

citations
Removable Online Knapsack and Advice
2020 arXiv (Cornell University) preprint Computer Science Optimization and Search Problems Open access

Hans-Joachim Böckenhauer, Fabian Frei, Peter Rossmanith

1

citations
Can Compact Optimisation Algorithms Be Structurally Biased?
2020 Preprints.org preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Anna V. Kononova, Fabio Caraffini, Hao Wang, Thomas Bäck

1

citations