Publications related to Overfitting

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Overfitting

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What can linearized neural networks actually say about generalization?

DBnorm as an R package for the comparison and selection of appropriate statistical methods for batch effect correction in metabolomic studies

AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

Weight Erosion: An Update Aggregation Scheme for Personalized Collaborative Machine Learning

Self-supervised learning for time series classification

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

Multitask Learning Over Graphs: An Approach for Distributed, Streaming Machine Learning

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

IMPROVING CROSS-DATASET PERFORMANCE OF FACE PRESENTATION ATTACK DETECTION SYSTEMS USING FACE RECOGNITION DATASETS

Automatic Pathological Speech Intelligibility Assessment Exploiting Subspace-Based Analyses