Arguably, the problem of learning represents a gateway to understanding intelligence in brains and machines, to discovering how the human brain works and to making intelligent machines that learn from ...

Department of Physical Therapy, Faculty of Health Sciences, Hokkaido University of Science, Sapporo, Hokkaido, Japan Although previous studies have suggested that motor adaptation through motor ...

This repository contains the code for an undergraduate research project I conducted in the summer of 2023. The project looks into the theory regarding the generalization of deep neural networks.

This paper revisits the robust overfitting phenomenon of adversarial training. Observing that models with better robust generalization performance are less certain in predicting adversarially ...

The ability to detect and classify rare occurrences in images has important applications – for example, counting rare and endangered species when studying biodiversity, or detecting infrequent traffic ...

To consider the relationship between generalization, explanation, and understanding, let us consider an example. Suppose we have two intelligent agents, AG1 and AG2, and suppose we ask both to ...

Abstract: Feedforward networks together with their training algorithms are a class of regression techniques that can be used to learn to perform some task from a set of examples. The question of ...

1 Atlanta Veterans Affairs Medical Center, Mental Health Service Line, Decatur, GA, USA 2 Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA ...