From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “progressive learning” 31

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

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
SEVERE++: Evaluating Benchmark Sensitivity in Generalization of Video Representation Learning
2025 arXiv (Cornell University) preprint Computer Science Human Pose and Action Recognition Open access

Fida Mohammad Thoker, Letian Jiang, Chen Zhao, Piyush Bagad, Hazel Doughty, Bernard Ghanem, +1 more

0

citations
Is there progress in activity progress prediction?
2023 arXiv (Cornell University) preprint Computer Science Human Pose and Action Recognition Open access

Frans de Boer, Jan C. van Gemert, Jouke Dijkstra, Silvia L. Pintea

1

citations
Graph Learning Should Move Beyond Restrictive Views of Spectral and Message-Passing GNNs
2026 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Antonis Vasileiou, Juan Cerviño, Pascal Frossard, Charilaos I. Kanatsoulis, Christopher Morris, Michael T. Schaub, +4 more

0

citations
Multi-Objective Learning for Deformable Image Registration
2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Monika Grewal, Henrike G. Westerveld, Peter A. N. Bosman, Tanja Alderliesten

0

citations
Deep Learning for Instance Retrieval: A Survey
2021 arXiv (Cornell University) preprint Computer Science Image Retrieval and Classification Techniques Open access

Wei Chen, Yu Liu, Weiping Wang, Erwin M. Bakker, Paul Fieguth, Li Liu, +1 more

5

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
LocoMotion: Learning Motion-Focused Video-Language Representations
2024 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access

Hazel Doughty, Fida Mohammad Thoker, Cees G. M. Snoek

0

citations
Deep Learning of Causal Structures in High Dimensions
2022 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

0

citations
GraphBench: Next-generation graph learning benchmarking
2025 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Mathias Niepert

1

citations
Combining Automated Optimisation of Hyperparameters and Reward Shape
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Emma Cramer, Holger H. Hoos, Sebastian Trimpe

0

citations
Multi-Step Reasoning with Large Language Models, a Survey
2024 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Aske Plaat, Annie Wong, Suzan Verberne, Joost Broekens, Bas van Stein, Thomas Bäck

14

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
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
Grand Challenges for Predictive Modeling in Small Molecule Drug Discovery
2026 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Connor W. Coley, Marco De Vivo, Willem Jespers, Ashutosh S. Jogalekar, S Roy Kimura, Lucien Koenekoop, +6 more

1

citations
Probabilistically Rewired Message-Passing Neural Networks
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Chendi Qian, Andrei Manolache, Zhe Zeng, Guy Van den Broeck, Mathias Niepert

4

citations
A Practical, Progressively-Expressive GNN
2022 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Lingxiao Zhao, Louis Härtel, Neil Shah, Leman Akoglu

3

citations
UnCorrupt SMILES: a novel approach to de novo design
2022 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Linde Schoenmaker, Olivier J. M. Béquignon, Willem Jespers, Gerard J. P. van Westen

3

citations
UnCorrupt SMILES: a novel approach to de novo design
2022 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Linde Schoenmaker, Olivier J. M. Béquignon, Willem Jespers, Gerard J. P. van Westen

3

citations
AutoML Segmentation for 3D Medical Image Data: Contribution to the MSD Challenge 2018
2020 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Oliver Rippel, Leon Weninger, Dorit Merhof

2

citations
Deep Research: A Systematic Survey
2025 Preprints.org preprint Computer Science Topic Modeling Open access

Yiqun Chen, Haitao Li, Yougang Lyu, Run-Ze Fan, Bowen Jin, Yixuan Weng, +14 more

1

citations
Envisaging a global infrastructure to exploit the potential of digitised collections
2022 preprint Computer Science Research Data Management Practices Open access

Quentin Groom, Mathias Dillen, Wouter Addink, Arturo H. Ariño, Pierre Bonnet, Lorenzo Cecchi, +28 more

1

citations
Envisaging a global infrastructure to exploit the potential of digitised collections
2022 preprint Computer Science Research Data Management Practices Open access

Quentin Groom, Mathias Dillen, Wouter Addink, Arturo H. Ariño, Pierre Bonnet, Lorenzo Cecchi, +29 more

0

citations
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features
2023 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Zihan Wang, Ziqi Zhao, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren

0

citations