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Ryan Soklaski

4 papers here

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

author position
  • first author2
  • middle author1
  • last author1

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

fields
  • cs.CV2
  • cs.AI1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedFourier-Based Augmentations for Improved Robustness and Uncertainty Calibration

4 citations · 4 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CV2022★ 4 cited

Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration

Ryan Soklaski, Michael Yee, Theodoros Tsiligkaridis

Diverse data augmentation strategies are a natural approach to improving robustness in computer vision models against unforeseen shifts in data distribution. However, the ability t…

cs.AI2022

Knowledge-Integrated Informed AI for National Security

Anu K. Myne, Kevin J. Leahy, Ryan J. Soklaski

The state of artificial intelligence technology has a rich history that dates back decades and includes two fall-outs before the explosive resurgence of today, which is credited la…

cs.LG2022

Tools and Practices for Responsible AI Engineering

Ryan Soklaski, Justin Goodwin, Olivia Brown +2

Responsible Artificial Intelligence (AI) - the practice of developing, evaluating, and maintaining accurate AI systems that also exhibit essential properties such as robustness and…

cs.CV2018

Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning

David Mascharka, Philip Tran, Ryan Soklaski +1

Visual question answering requires high-order reasoning about an image, which is a fundamental capability needed by machine systems to follow complex directives. Recently, modular…

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