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S. Wookey

4 papers hereh-index 3696 citations5 works total

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

author position
  • first author1
  • last author3

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
20202022
most citedThe Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling

843 citations · 845 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2022★ 1 cited

Masterful: A Training Platform for Computer Vision Models

Samuel Wookey, Yaoshiang Ho, Tom Rikert +8

Masterful is a software platform to train deep learning computer vision models. Data and model architecture are inputs to the platform, and the output is a trained model. The platf…

cs.LG2021

Leveraging Domain Adaptation for Low-Resource Geospatial Machine Learning

Jack Lynch, Sam Wookey

Machine learning in remote sensing has matured alongside a proliferation in availability and resolution of geospatial imagery, but its utility is bottlenecked by the need for label…

cs.CV2020★ 1 cited

The Human Visual System and Adversarial AI

Yaoshiang Ho, Samuel Wookey

This paper applies theories about the Human Visual System to make Adversarial AI more effective. To date, Adversarial AI has modeled perceptual distances between clean and adversar…

cs.LG2020★ 843 cited

The Real-World-Weight Cross-Entropy Loss Function: Modeling the Costs of Mislabeling

Yaoshiang Ho, Samuel Wookey

In this paper, we propose a new metric to measure goodness-of-fit for classifiers, the Real World Cost function. This metric factors in information about a real world problem, such…

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