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Papers matching “iterated learning” 40

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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
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
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
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
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
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
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
Learning to Use Tools via Cooperative and Interactive Agents
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Zhengliang Shi, Shen Gao, Xiuyi Chen, Lingyong Yan, Haibo Shi, Dawei Yin, +3 more

1

citations
Repairability of Inexact Solvers in Recursive State Estimation with Machine Learning
2026 arXiv (Cornell University) preprint Computer Science Target Tracking and Data Fusion in Sensor Networks Open access

Yanjun Ji, Dennis Willsch, Orkun Şensebat, Priyanka Arkalgud Ganeshamurthy, Zhi Pei, M. Sahnawaz Alam, +5 more

0

citations
Efficient Lookahead Encoding and Abstracted Width for Learning General Policies in Classical Planning
2026 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Michael Aichmüller, Simon Ståhlberg, Martin Funkquist, Hector Geffner

0

citations
When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming
2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Ahmad Tarraf, Koutaiba El Rifai Kassem-Manthey, Philipp Martin, Lukas Moj, Semih Burak, Christian Terboven, +1 more

1

citations
MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, +1 more

0

citations
Recurrent Natural Policy Gradient for POMDPs
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Semih Çaycı, Atilla Eryılmaz

0

citations
MRSegmentator: Multi-Modality Segmentation of 40 Classes in MRI and CT
2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Hartmut Häntze, Lina Xu, Felix J. Dorfner, Leonhard Donle, Felix Busch, Sebastian Ziegelmayer, +9 more

9

citations
Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?
2020 arXiv (Cornell University) preprint Computer Science Artificial Intelligence in Games Open access

Hui Wang, Michael Emmerich, Mike Preuß, Aske Plaat

2

citations
Enhancing BEST-RQ Pseudo-Label Quality through Online Refinement for Automatic Speech Recognition
2026 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Jingjing Xu, Zijian Yang, Mohammad Zeineldeen, Eugen Beck, R. Schlueter, Hermann Ney

0

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
No imputation without representation
2022 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Oliver Urs Lenz, Daniel Peralta, Chris Cornelis

1

citations
TELLER: Dual-Path Iterative Preference Optimization for Table Entity Linking
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Yixin Peng, Kuan Li, Stefan Decker

0

citations
Bayesian Optimization of Partially Known Systems using Hybrid Models
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Eike Cramer, Luis Kutschat, Oliver Stollenwerk, Joel A. Paulson, Alexander Mitsos

0

citations
Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias towards Low Rank
2020 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Hung-Hsu Chou, Carsten Gieshoff, Johannes Maly, Holger Rauhut

2

citations
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Francesco Innocenti, El Mehdi Achour, Ryan R. Singh, Christopher L. Buckley

0

citations