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Papers matching “learning strategies” 74

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From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game
2024 preprint Computer Science Teaching and Learning Programming Open access

Clemens Witt, Thiemo Leonhardt, Erik Marx, Nadine Bergner

0

citations
From Guesswork to Game Plan: Exploring Problem-Solving-Strategies in a Machine Learning Game
2024 preprint Computer Science Teaching and Learning Programming Open access

Clemens Witt, Thiemo Leonhardt, Erik Marx, Nadine Bergner

0

citations
Towards General Negotiation Strategies with End-to-End Reinforcement Learning
2024 arXiv (Cornell University) preprint Computer Science Multi-Agent Systems and Negotiation Open access

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

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
Learning Explainable and Better Performing Representations of POMDP Strategies
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Alexander Bork, Debraj Chakraborty, Kush Grover, Jan Křetínský, Stefanie Mohr

2

citations
Self-Supervised Learning Reveals Clinically Relevant Histomorphological Patterns for Therapeutic Strategies in Colon Cancer
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access cited by 1 patent

Bojing Liu, Meaghan Polack, Nicolas Coudray, Adalberto Claudio Quiros, Theodore Sakellaropoulos, A. Stijn L. P. Crobach, +5 more

8

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
Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning
2022 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Marco Virgolin, Eric Medvet, Tanja Alderliesten, Peter A. N. Bosman

3

citations
Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm
2022 Research Square preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Charles Moussa, Hao Wang, Thomas Bäck, Vedran Dunjko

1

citations
Contextualized Hybrid Ensemble Q-learning: Learning Fast with Control Priors
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Bernd Frauenknecht, Ramil Sabirov, Sebastian Trimpe

0

citations
Limitations of measure-first protocols in quantum machine learning
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Casper Gyurik, Riccardo Molteni, Vedran Dunjko

0

citations
Clustering-based Domain-Incremental Learning
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Christiaan Lamers, René Vidal, Nabil Belbachir, Bas van Stein, Thomas Baeck, Paris V. Giampouras

0

citations
Subspace Adaptation Prior for Few-Shot Learning
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

0

citations
Quantum machine learning advantages beyond hardness of evaluation
2025 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Riccardo Molteni, Simon C. Marshall, Vedran Dunjko

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
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
Transcriptomics-guided Slide Representation Learning in Computational Pathology
2024 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Guillaume Jaume, Lukas Oldenburg, Anurag Jayant Vaidya, Richard J. Chen, Drew F. K. Williamson, Andrew H. Song, +1 more

3

citations
Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Till Hofmann, Héctor Geffner

0

citations
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour, Reza Azad, Dorit Merhof

2

citations
Distributed Event-Based Learning via ADMM
2024 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Guner Dilsad Er, Sebastian Trimpe, Michael Muehlebach

0

citations
Multi-task Semi-supervised Learning for Pulmonary Lobe Segmentation
2021 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Jingnan Jia, Irene Hernandez Giron, Marius Staring, Berend C. Stoel

0

citations
Offline Trajectory Optimization for Offline Reinforcement Learning
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Ziqi Zhao, Zhaochun Ren, Yang Liu, Fajie Yuan, Pengjie Ren, Zhumin Chen

0

citations
Data-efficient Deep Reinforcement Learning for Vehicle Trajectory Control
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Bernd Frauenknecht, Tobias Ehlgen, Sebastian Trimpe

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
LExCI: A Framework for Reinforcement Learning with Embedded Systems
2023 RWTH Publications (RWTH Aachen) preprint Computer Science Reinforcement Learning in Robotics Open access

Kevin Badalian, Lucas Koch, Tobias Brinkmann, Mario Picerno, Marius Wegener, Sung-Yong Lee, +1 more

2

citations