45 citations · 78 across the 27 of their papers we have counts for
9 papers · 1 filter
A Unifying Framework for Formal Theories of Novelty:Framework, Examples and Discussion
T. E. Boult, P. A. Grabowicz, D. S. Prijatelj +11
Managing inputs that are novel, unknown, or out-of-distribution is critical as an agent moves from the lab to the open world. Novelty-related problems include being tolerant to nov…
Pitfalls in Machine Learning Research: Reexamining the Development Cycle
Stella Biderman, Walter J. Scheirer
Machine learning has the potential to fuel further advances in data science, but it is greatly hindered by an ad hoc design process, poor data hygiene, and a lack of statistical ri…
Modeling Score Distributions and Continuous Covariates: A Bayesian Approach
Mel McCurrie, Hamish Nicholson, Walter J. Scheirer +1
Computer Vision practitioners must thoroughly understand their model's performance, but conditional evaluation is complex and error-prone. In biometric verification, model performa…
A Bayesian Evaluation Framework for Subjectively Annotated Visual Recognition Tasks
Derek S. Prijatelj, Mel McCurrie, Walter J. Scheirer
An interesting development in automatic visual recognition has been the emergence of tasks where it is not possible to assign objective labels to images, yet still feasible to coll…
The Criminality From Face Illusion
Kevin W. Bowyer, Michael King, Walter Scheirer +1
The automatic analysis of face images can generate predictions about a person's gender, age, race, facial expression, body mass index, and various other indices and conditions. A f…
Learning Transformation-Aware Embeddings for Image Forensics
Aparna Bharati, Daniel Moreira, Patrick Flynn +3
A dramatic rise in the flow of manipulated image content on the Internet has led to an aggressive response from the media forensics research community. New efforts have incorporate…