Search Results for author: Josh Kalin

Found 12 papers, 1 papers with code

Color Teams for Machine Learning Development

no code implementations20 Oct 2021 Josh Kalin, David Noever, Matthew Ciolino

Machine learning and software development share processes and methodologies for reliably delivering products to customers.

BIG-bench Machine Learning

Local Translation Services for Neglected Languages

no code implementations5 Jan 2021 David Noever, Josh Kalin, Matt Ciolino, Dom Hambrick, Gerry Dozier

Taking advantage of computationally lightweight, but high-quality translators prompt consideration of new applications that address neglected languages.

Sentence Translation

Black Box to White Box: Discover Model Characteristics Based on Strategic Probing

no code implementations7 Sep 2020 Josh Kalin, Matthew Ciolino, David Noever, Gerry Dozier

With the process in this paper, a structured set of input probes and the output of the model become the training data for a deep classifier.

BIG-bench Machine Learning Image Classification +1

The Chess Transformer: Mastering Play using Generative Language Models

2 code implementations2 Aug 2020 David Noever, Matt Ciolino, Josh Kalin

This work demonstrates that natural language transformers can support more generic strategic modeling, particularly for text-archived games.

The Go Transformer: Natural Language Modeling for Game Play

no code implementations7 Jul 2020 Matthew Ciolino, David Noever, Josh Kalin

This work applies natural language modeling to generate plausible strategic moves in the ancient game of Go.

Game of Go Language Modelling +2

Systematic Attack Surface Reduction For Deployed Sentiment Analysis Models

no code implementations19 Jun 2020 Josh Kalin, David Noever, Gerry Dozier

This work proposes a structured approach to baselining a model, identifying attack vectors, and securing the machine learning models after deployment.

BIG-bench Machine Learning Sentiment Analysis

Discoverability in Satellite Imagery: A Good Sentence is Worth a Thousand Pictures

no code implementations3 Jan 2020 David Noever, Wes Regian, Matt Ciolino, Josh Kalin, Dom Hambrick, Kaye Blankenship

Small satellite constellations provide daily global coverage of the earth's landmass, but image enrichment relies on automating key tasks like change detection or feature searches.

Change Detection Descriptive +4

Training Set Effect on Super Resolution for Automated Target Recognition

no code implementations29 Oct 2019 Matthew Ciolino, David Noever, Josh Kalin

This suggests a possible improvement to automated target recognition in image classification and object detection.

Binary Classification General Classification +6

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