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Papers matching “training data selection” 30

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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
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
The Influence of Inhomogeneous Input Data from Different Waves on Predictive Model Development for COVID-19 ICU Patients (Preprint)
2021 preprint Computer Science Machine Learning in Healthcare Open access

Sebastian Johannes Fritsch, Konstantin Sharafutdinov, Moein E. Samadi, Gernot Marx, Andreas Schuppert, Johannes Bickenbach

0

citations
Data variation-aware medical image segmentation
2022 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Arkadiy Dushatskiy, Gerry J. Lowe, Peter A. N. Bosman, Tanja Alderliesten

0

citations
Dynamic Encoder Size Based on Data-Driven Layer-wise Pruning for Speech Recognition
2024 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Jingjing Xu, Wei Guo Zhou, Zijian Yang, Eugen Beck, R. Schlueter

0

citations
Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classification
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Fu Xing Long, Moritz A. Frenzel, Markus Gitterle, Thomas Bäck, Bas van Stein

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
Task-oriented Document-Grounded Dialog Systems by HLTPR@RWTH for DSTC9 and DSTC10
2023 arXiv (Cornell University) preprint Computer Science Speech and dialogue systems Open access

David Thulke, Nico Daheim, Christian Dugast, Hermann Ney

0

citations
Assessing the Generalizability of a Performance Predictive Model
2023 arXiv (Cornell University) preprint Computer Science Machine Learning and Data Classification Open access

Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, +3 more

0

citations
Latency-Aware Client Assignment for Parallel Split Learning With Global Sampling
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Mohammad Kohankhaki, Valentin Rentschler, Anke Schmeink

0

citations
Large-scale modelling of sparse kinase activitydata
2023 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

Sohvi Luukkonen, Erik Meijer, Giovanni A. Tricarico, Johan Hofmans, Pieter F. W. Stouten, Gerard J. P. van Westen, +1 more

0

citations
Nonlinear Isometric Manifold Learning for Injective Normalizing Flows
2022 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Eike Cramer, Alexander Mitsos, Raul F. Tempone, Manuel Dahmen

2

citations
Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation
2024 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Ji-yuan YANG, Yuanzi Li, Jingyu Zhao, Hanbing Wang, Muyang Ma, Jun Ma, +5 more

2

citations
Machine Learning Electronic Health Record Identification of Patients with Rheumatoid Arthritis: Algorithm Pipeline Development and Validation Study (Preprint)
2020 preprint Computer Science Machine Learning in Healthcare Open access

Tjardo Daniël Maarseveen, Timo Meinderink, Marcel J. T. Reinders, Johannes Knitza, Tom W. J. Huizinga, Arnd Kleyer, +3 more

1

citations
FedSCS-XGB -- Federated Server-centric surrogate XGBoost for continual health monitoring
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Felix Walger, Mehdi Ejtehadi, Anke Schmeink, Diego Felipe PAEZ GRANADOS

0

citations
A Federated Framework for LLM-based Recommendation
2024 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Jujia Zhao, Wenjie Wang, Xu Chen, See-Kiong Ng, Tat‐Seng Chua

6

citations
Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Sanaz Karimijafarbigloo, Reza Azad, Dorit Merhof

1

citations
Advancing Federated Learning in 6G: A Trusted Architecture with Graph-based Analysis
2023 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Wenxuan Ye, Chendi Qian, Xueli An, Xueqiang Yan, Georg Carle

0

citations
Robust, credible, and interpretable AI-based histopathological prostate cancer grading
2024 medRxiv preprint Computer Science AI in cancer detection Open access

Fabian Westhaeusser, Patrick Fuhlert, Esther Dietrich, Maximilian Lennartz, Robin Khatri, Nico Kaiser, +20 more

1

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
Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study (Preprint)
2020 preprint Computer Science AI in cancer detection Open access

Max Schmitt, Roman Christoph Maron, Achim Hekler, Albrecht Stenzinger, Axel Hauschild, Michael Weichenthal, +11 more

0

citations
Smartphone and Wearable Sensors for the Estimation of Facioscapulohumeral Muscular Dystrophy Disease Severity: Cross-sectional Study (Preprint)
2022 preprint Computer Science Context-Aware Activity Recognition Systems Open access

Ahnjili Zhuparris, Ghobad Maleki, Ingrid W. Koopmans, Robert Jan Doll, Nicoline B. M. Voet, Wessel Kraaij, +4 more

0

citations
Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them
2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman

0

citations
Prompt replay: speeding up grpo with on-policy reuse of high-signal prompts
2026 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Andrei Baroian, Rutger Berger

0

citations