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researcher

Adam Byerly

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.LG2

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedClass Density and Dataset Quality in High-Dimensional, Unstructured Data

3 citations · 4 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2022★ 3 cited

Class Density and Dataset Quality in High-Dimensional, Unstructured Data

Adam Byerly, Tatiana Kalganova

We provide a definition for class density that can be used to measure the aggregate similarity of the samples within each of the classes in a high-dimensional, unstructured dataset…

cs.LG2022

Towards an Analytical Definition of Sufficient Data

Adam Byerly, Tatiana Kalganova

We show that, for each of five datasets of increasing complexity, certain training samples are more informative of class membership than others. These samples can be identified a p…

cs.CV2021★ 1 cited

On the Importance of Capturing a Sufficient Diversity of Perspective for the Classification of micro-PCBs

Adam Byerly, Tatiana Kalganova, Anthony J. Grichnik

We present a dataset consisting of high-resolution images of 13 micro-PCBs captured in various rotations and perspectives relative to the camera, with each sample labeled for PCB t…

cs.CV2019

Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks

Adam Byerly, Tatiana Kalganova

Capsules are the name given by Geoffrey Hinton to vector-valued neurons. Neural networks traditionally produce a scalar value for an activated neuron. Capsules, on the other hand,…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.