19 citations · 19 across the 9 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2023
Analysis of Interpolating Regression Models and the Double Descent Phenomenon
Tomas McKelvey
A regression model with more parameters than data points in the training data is overparametrized and has the capability to interpolate the training data. Based on the classical bi…
cs.LG2019
Learning Hierarchical Feature Space Using CLAss-specific Subspace Multiple Kernel -- Metric Learning for Classification
Yinan Yu, Tomas McKelvey
Metric learning for classification has been intensively studied over the last decade. The idea is to learn a metric space induced from a normed vector space on which data from diff…
cs.LG2019
Building Efficient CNNs Using Depthwise Convolutional Eigen-Filters (DeCEF)
Yinan Yu, Samuel Scheidegger, Tomas McKelvey
Deep Convolutional Neural Networks (CNNs) have been widely used in various domains due to their impressive capabilities. These models are typically composed of a large number of 2D…