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Papers matching “training data selection” 62

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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
FLAG-X: Hybrid machine learning workflows for automated gating of clinical flow cytometry data
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access

Paul Martini, Marziyeh Mohammadi, Michael Christoph Thrun, David B. Blumenthal, Stefan W. Krause

0

citations
Citizen Science Data Reveals Environmental Influence on Sightings of Great White Sharks in Mossel Bay, South Africa
2022 Research Square preprint Environmental Science Ichthyology and Marine Biology Open access

Sophie A. Maycock, Frans J. Rodenburg, Mike Ladley, Abbott Peter Klimley, Christian Tudorache

1

citations
MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers
2022 arXiv (Cornell University) preprint Mathematics Advanced Optimization Algorithms Research Open access

Elias B. Khalil, Andrea Lodi

5

citations
Development of a regional feature selection-based machine learning system (RFSML v1.0) for air pollution forecasting over China
2022 preprint Environmental Science Air Quality Monitoring and Forecasting Open access

Fang Li, Jianbing Jin, Arjo J. Segers, Hai Xiang Lin, Mijie Pang, Deng Tuo, +1 more

0

citations
The Hitchhiker’s Guide to Longitudinal Models: A Primer on Model Selection for Repeated-Measures Methods
2021 preprint Mathematics Statistical Methods and Bayesian Inference Open access

Ethan Michael McCormick, Michelle L. Byrne, John Coleman Flournoy, Kathryn L. Mills, Jennifer H. Pfeifer

10

citations
Searchlight Optimization Using Representational Similarity Analysis for Subject-Level Voxel Selection in Emotional State Decoding
2026 bioRxiv (Cold Spring Harbor Laboratory) preprint Neuroscience Functional Brain Connectivity Studies Open access

Xuelei Wang, Jana Zweerings, Michael Lührs, Fengyu Cong, Klaus Mathiak, David E.J. Linden, +3 more

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
Predicting individualized treatment effects of corticosteroids in community-acquired-pneumonia: a data-driven analysis of randomized controlled trials
2023 medRxiv preprint Medicine Pneumonia and Respiratory Infections Open access

Jim M Smit, Philip A. van der Zee, Sara C. M. Stoof, Michel Egide van Genderen, Dominic Snijders, Wim G. Boersma, +28 more

6

citations
Benchmarking Variational AutoEncoders on cancer transcriptomics data
2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Gene expression and cancer classification Open access

Mostafa Eltager, Tamim Abdelaal, Mohammed Charrout, Ahmed Essam Mahfouz, Marcel J. T. Reinders, Stavros Makrodimitris

4

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
Integrative multi-omics analysis of genomic, epigenomic, and metabolomics data leads to new insights for Attention-Deficit/Hyperactivity Disorder
2022 medRxiv preprint Medicine Attention Deficit Hyperactivity Disorder Open access

Nikki Hubers, Fiona A. Hagenbeek, René Pool, Sébastien Dejean, Amy C. Harms, Peter J. Roetman, +8 more

6

citations
Benchmarking Sensor-Fault Robustness in Forecasting
2026 arXiv (Cornell University) preprint Engineering Fault Detection and Control Systems Open access

Alexander Windmann, Philipp Wittenberg, Gianluca Manca, Marcel Dix, Jens U. Brandt, Oliver Niggemann

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
Highly Variable Quasar Candidates Selected from 4XMM-DR13 with Machine Learning
2025 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

Heng Wang, Y. L. Ai, Yanxia Zhang, Yuming Fu, Wenfeng Wen, Liming Dou, +3 more

0

citations
Predicting and elucidating the etiology of fatty liver disease using a machine learning-based approach: an IMI DIRECT study
2020 medRxiv preprint Medicine Liver Disease Diagnosis and Treatment Open access

Naeimeh Atabaki‐Pasdar, Mattias Ohlsson, Ana Viñuela, Francesca Frau, Hugo Pomares‐Millan, Mark Haid, +57 more

0

citations
QHSC: The Quasar Candidate Catalog for the Hyper Suprime-Cam Subaru Strategic Program
2025 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access

0

citations