Cover Image

Integration of nested cross-validation, automated hyperparameter optimization, high-performance computing to reduce and quantify the variance of test performance estimation of deep learning models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Calle, Paul, Bates, Averi, Reynolds, Justin C., Liu, Yunlong, Cui, Haoyang, Ly, Sinaro, Wang, Chen, Zhang, Qinghao, de Armendi, Alberto J., Shettar, Shashank S., Fung, Kar Ming, Tang, Qinggong, Pan, Chongle
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unified Modeling Language Code Generation from Diagram Images Using Multimodal Large Language Models
by: Bates, Averi, et al.
Published: (2025)

Input layer regularization and automated regularization hyperparameter tuning for myelin water estimation using deep learning
by: Modi, Mirage, et al.
Published: (2025)

Tree-based models and hyperparameter optimization for assessing employee performance
by: Rendra Gustriansyah, Shinta Puspasari, Ahmad Sanmorino, Nazori Suhandi, Dewi Sartika
Published: (2025)

Assessing how hyperparameters impact Large Language Models' sarcasm detection performance
by: Gole, Montgomery, et al.
Published: (2025)

Calibrating dimension reduction hyperparameters in the presence of noise
by: Lin, Justin, et al.
Published: (2023)

Letter to the Editor: Does induction or augmentation of labor increase the risk of postpartum hemorrhage in pregnant women with anemia? A multicenter prospective cohort study in India
by: Brad Luo, et al.
Published: (2025)

Post-selection inference for quantifying uncertainty in changes in variance
by: Carrington, Rachel, et al.
Published: (2024)

The relative entropy of coherence quantifies performance in Bayesian metrology
by: Lecamwasam, Ruvi, et al.
Published: (2024)

Optimized machine learning with hyperparameter tuning and response surface methodology for predicting tribological performance in bio‐composite materials
by: Saravanakumar Sengottaiyan, et al.
Published: (2024)

Experimental study on flexural performance of composite slabs with bent bars and postcast ultrahigh‐performance concrete joints
by: Yong Zhao, et al.
Published: (2024)

Public and private blockchain for decentralized digital building twins and building automation system
by: Ly, Reachsak, et al.
Published: (2026)

A minimum variance benchmark to measure the performance of pension funds in Mexico
by: Oscar V. De la Torre Torres
Published: (2015)

Beyond algorithm hyperparameters: on preprocessing hyperparameters and associated pitfalls in machine learning applications
by: Sauer, Christina, et al.
Published: (2024)

Simulation of self-tuned fuzzy PID controlled DC motor in simulink and performance analysis from speed time characteristics
by: Kar, Suman
Published: (2025)

Comparison of four performance models in quantifying the inequality of leaf and fruit size distribution
by: Lin Wang, et al.
Published: (2024)

Sharp variance estimator and causal bootstrap in stratified randomized experiments
by: Yu, Haoyang, et al.
Published: (2024)

Be aware of overfitting by hyperparameter optimization!
by: Tetko, Igor, et al.
Published: (2024)

Neural Velocity for hyperparameter tuning
by: Dalmasso, Gianluca, et al.
Published: (2025)

Be aware of overfitting by hyperparameter optimization!
by: Tetko, Igor V., et al.
Published: (2024)

Leveraging large language models for automated performance appraisals: Opportunities and challenges
by: Kuchibhotla, Sri
Published: (2025)

High-performance automated abstract screening with large language model ensembles
by: Sanghera, Rohan, et al.
Published: (2024)

The university versus region effect: A variance decomposition of academic spin‐off performance
by: Julia Mokhtar, et al.
Published: (2026)

Changes in site occupancy and nesting performance of Peregrine falcons in Colorado, 1963-2004
by: Enderson, James
Published: (2005)

Overlapped groupings for quantum energy estimation: Maximal variance reduction and deterministic algorithms for reducing variance
by: Rowland, Jeremiah, et al.
Published: (2026)

Diet‐focused behavioral interventions to reduce the risk of non‐communicable diseases in low‐ and middle‐income countries: A scoping review of existing evidence
by: Averi Chakrabarti, et al.
Published: (2025)

An automated method for quantifying syntactic complexity of spontaneous speech in Primary Progressive Aphasia
by: Galit Agmon, et al.
Published: (2024)

Projectable reduced $f$-rings admitting elimination of quantifiers
by: Guier, Jorge I.
Published: (2026)

Control variates for variance-reduced ratio of means estimators
by: Bocquet-Nouaille, Louison, et al.
Published: (2025)

Clinical performance of scalable automated p‐tau 217 multi‐analyte algorithmic blood test with reduced intermediate zone using multiplexed digital immunoassay
by: David H. Wilson, et al.
Published: (2025)

Convolutional neural networks applied to differential dynamic microscopy reduces noise when quantifying heterogeneous dynamics
by: Martinez, Gildardo, et al.
Published: (2024)

Modeling speech emotion with label variance and analyzing performance across speakers and unseen acoustic conditions
by: Mitra, Vikramjit, et al.
Published: (2025)

Unpacking firm effects: modeling political alliances in variance decomposition of firm performance in turbulent environments
by: Rodrigo Bandeira-de-Mello
Published: (2005)

Two-step hyperparameter optimization method: Accelerating hyperparameter search by using a fraction of a training dataset
by: Yu, Sungduk, et al.
Published: (2023)

Tackling heavy-tailed noise in distributed estimation: Asymptotic performance and tradeoffs
by: Bajovic, Dragana, et al.
Published: (2026)

Experimental validation of photonic lantern imaging and wavefront sensing performance
by: Sengupta, Aditya R., et al.
Published: (2025)

Professional competency instrument validity of assessment on teacher work performance
by: SUKADARI
Published: (2019)

On the convergence of stochastic variance reduced gradient for linear inverse problems
by: Jin, Bangti, et al.
Published: (2025)

Novel high‐throughput oxygen saturation measurements for quantifying the physiological performance of macroalgal early life stages
by: R. J. Veenhof, et al.
Published: (2024)

On the use of adversarial validation for quantifying dissimilarity in geospatial machine learning prediction
by: Wang, Yanwen, et al.
Published: (2024)

On the impact of geometric variance on the performance of formed parts: A probabilistic approach on the example of airbag pressure bins
by: Schnelle, Lukas, et al.
Published: (2025)