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Papers matching “iterated learning” 70

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The Effect of Efficient Messaging and Input Variability on Neural-Agent Iterated Language Learning
2021 arXiv (Cornell University) preprint Social Sciences Language and cultural evolution Open access

Yuchen Lian, Arianna Bisazza, Tessa Verhoef

0

citations
Iterated Population Based Training with Task-Agnostic Restarts
2025 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Alexander Chebykin, Tanja Alderliesten, Peter A. N. Bosman

0

citations
In Trust We Survive: Emergent Trust Learning
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Qianpu Chen, Giulio Barbero, Mike Preuß, Derya Soydaner

0

citations
What can we learn from talented General Practitioners and Elderly Care Medicine Specialists? A protocol for a qualitative interview study
2022 medRxiv preprint Medicine Innovations in Medical Education

Abdullah Khawar, Mechteld R.M. Visser, Martin Smalbrugge, Irene Arida Slootweg, Nynke van Dijk

0

citations
Meta-learning Spiking Neural Networks with Surrogate Gradient Descent
2022 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Emre Neftci

2

citations
Learning in a real-life escape room: an explorative study on the supervisory relationship in GP residency during the COVID-19 pandemic
2022 Research Square preprint Medicine Innovations in Medical Education Open access

Iris Meljes, Irene Arida Slootweg, Vera Nierkens, Maartje van de Bogaard, Anneke W. M. Kramer

0

citations
Iterative Learning Control with Mismatch Compensation for Residual Vibration Suppression in Delta Robots
2024 arXiv (Cornell University) preprint Engineering Iterative Learning Control Systems Open access

Mingkun Wu, Alisa Rupenyan, Burkhard J. Corves

0

citations
On Signal Peak Power Constraint of Over-the-Air Federated Learning
2025 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Lorenz Bielefeld, Paul Zheng, Oner Hanay, Yao Zhu, Yulin Hu, Anke Schmeink

0

citations
Histological triage of early-stage mycosis fungoides using a weakly supervised deep learning-based model: a multicentre, external validation, and clinical utility study
2026 medRxiv preprint Medicine Cutaneous lymphoproliferative disorders research Open access

Thom Doeleman, Siemen Brussee, P. Valkema, Werner Kempf, Maarten H. Vermeer, Jesper Kers, +13 more

0

citations
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings
2022 arXiv (Cornell University) preprint Computer Science Machine Learning and Algorithms Open access

Nikita Durasov, Nik Dorndorf, Pascal Fua

2

citations
Compressive Sensing and Neural Networks from a Statistical Learning Perspective
2020 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

Arash Behboodi, Holger Rauhut, Ekkehard Schnoor

1

citations
Iterative Model-Learning Scheme via Gaussian Processes for Nonlinear Model Predictive Control of (Semi-)Batch Processes
2026 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Tai Xuan Tan, Alexander Mitsos, Eike Cramer

0

citations
Accurately Solving Physical Systems with Graph Learning
2020 arXiv (Cornell University) preprint Computer Science Computer Graphics and Visualization Techniques Open access

Tassilo Kugelstadt, Wojtek Pałubicki, Jan Bender, Sören Pirk, Dominik Ludewig Michels

4

citations
Deep learning on CT scans to predict checkpoint inhibitor treatment outcomes in advanced melanoma
2023 medRxiv preprint Medicine Radiomics and Machine Learning in Medical Imaging Open access

Laurens S. ter Maat, Rob A. J. de Mooij, Isabella A.J. van Duin, Joost J.C. Verhoeff, Sjoerd Geert Elias, Tim Leiner, +19 more

0

citations
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
2023 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Shen Gao, Zhengliang Shi, Minghang Zhu, Xin Xin, Pengjie Ren, Zhumin Chen, +1 more

2

citations
Summit: Benchmarking Machine Learning Methods for Reaction Optimisation
2020 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Kobi Felton, Jan G. Rittig, Alexei A. Lapkin

17

citations
Summit: Benchmarking Machine Learning Methods for Reaction Optimisation
2020 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Kobi Felton, Jan G. Rittig, Alexei A. Lapkin

4

citations
Summit: Benchmarking Machine Learning Methods for Reaction Optimisation
2020 ChemRxiv preprint Materials Science Machine Learning in Materials Science Open access

Kobi Felton, Jan G. Rittig, Alexei A. Lapkin

4

citations
Meta-Learning Conjugate Priors for Few-Shot Bayesian Optimization
2021 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Ruduan Benjamin Franklin Plug

0

citations
Reinforcement Learning to Initialize Newton-Raphson for AC Power Flow with Quantum Annealing-Based Environment Updates
2025 arXiv (Cornell University) preprint Engineering Optimal Power Flow Distribution Open access

Zeynab Kaseb, Matthias Möller, Lindsay Spoor, Jerry Jinfeng Guo, Xiang Mei Yu, Peter Pálenský, +1 more

0

citations
A Deep Reinforcement Learning Approach to Wavefront Control for Exoplanet Imaging
2024 arXiv (Cornell University) preprint Physics and Astronomy Adaptive optics and wavefront sensing Open access

Yann Gutierrez, Johan Mazoyer, Olivier Herscovici-Schiller, Laurent M. Mugnier, B. Abeloos, Iva Laginja

0

citations
MRI-based classification of neuropsychiatric systemic lupus erythematosus patients with self-supervised contrastive learning
2021 medRxiv preprint Medicine Systemic Lupus Erythematosus Research Open access

Francesca Inglese, Min‐Seon Kim, Gerda M. Steup‐Beekman, Tom W. J. Huizinga, Mark A. van Buchem, Jeroen de Bresser, +2 more

0

citations
Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, +1 more

0

citations
A Meta-Learning Algorithm for Interrogative Agendas
2023 arXiv (Cornell University) preprint Computer Science Rough Sets and Fuzzy Logic Open access

Erman Acar, Andrea De Domenico, Krishna Manoorkar, Mattia Panettiere

2

citations
Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation
2025 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Zhaochun Ren, Shuaiqiang Wang, Lisong Yan, Dawei Yin

0

citations