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Papers matching “progressive learning” 71

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Hierarchical progressive learning of cell identities in single-cell data
2020 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Single-cell and spatial transcriptomics Open access

Lieke Michielsen, Marcel J. T. Reinders, Ahmed Essam Mahfouz

4

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
Dissecting the Complexities of Learning With Infinite Hidden Markov Models
2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Memory and Neural Mechanisms Open access

Sebastian A. Bruijns, Kcénia Bougrova, Inês C. Laranjeira, Petrina Lau, Guido T. Meijer, Nathaniel J Miska, +6 more

9

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
RONAALP: Reduced-Order Nonlinear Approximation with Active Learning Procedure
2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Clément Scherding, Denis Sipp, Peter J. Schmid, Taraneh Sayadi

3

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
A systematic comparison of hard- and soft-constrained physics-informed molecular machine learning with the Clapeyron equation
2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access

Jan Pavšek, Jan G. Rittig, Alexander Mitsos

0

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
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
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
Continuous monitoring of the use of molecular diagnostics in oncology: advancing towards a learning health system
2025 medRxiv preprint Health Professions Electronic Health Records Systems Open access

Kees C.W.J. Ebben, Femke J. C. Jacobs, Robin Pasman, Carin Louis - van den Broek, Cor Doede de Kroon, Anthonie J. van der Wekken, +10 more

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
Machine learning in bioprocess development: From promise to practice
2022 arXiv (Cornell University) preprint Biochemistry, Genetics and Molecular Biology Microbial Metabolic Engineering and Bioproduction Open access

Laura M. Helleckes, Johannes Hemmerich, Wolfgang Wiechert, Eric von Lieres, Alexander Grünberger

4

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
An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs
2024 arXiv (Cornell University) preprint Medicine COVID-19 diagnosis using AI Open access

Patrick Wienholt, Alexander Hermans, Firas Khader, Behrus Puladi, Bastian Leibe, Christiane Katharina Kuhl, +2 more

0

citations
A transcriptomics-based meta-analysis combined with machine learning approach identifies a secretory biomarker panel for diagnosis of pancreatic adenocarcinoma
2020 medRxiv preprint Medicine Pancreatic and Hepatic Oncology Research Open access

Indu Khatri, Manoj Bhasin

2

citations
Progress in Language Abilities Related to Reading Comprehension – Domain Specific Intervention on Executive Functioning
2023 Preprints.org preprint Psychology Reading and Literacy Development Open access

Iveta Kovalčíková, Jochanan Veerbeek, Bart Vogelaar, Martin Klimovič, Eva Gogová

1

citations
Data Teams in Teacher Preparation: Improving Data-Based Instruction in Reading
2022 preprint Decision Sciences Educational Assessment and Improvement Open access

Jessica R. Toste, Marissa J. Filderman, Christine A. Espin

2

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