David Mayo

According to our database, David Mayo authored at least 8 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

How hard are computer vision datasets? Calibrating dataset difficulty to viewing time.

David Mayo, Jesse Cummings, Xinyu Lin, Dan Gutfreund, Boris Katz, Andrei Barbu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning in temporally structured environments.

Matt Jones, Tyler R. Scott, Mengye Ren, Gamaleldin Fathy Elsayed, Katherine L. Hermann, David Mayo, Michael Curtis Mozer

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Developing a Series of AI Challenges for the United States Department of the Air Force.

Vijay Gadepally, Gregory Angelides, Andrei Barbu, Andrew Bowne, Laura J. Brattain, Tamara Broderick, Armando Cabrera, Glenn Carl, Ronisha Carter, Miriam Cha, Emilie Cowen, Jesse Cummings, Bill Freeman, James R. Glass, Sam Goldberg, Mark Hamilton, Thomas Heldt, Kuan Wei Huang, Phillip Isola, Boris Katz, Jamie Koerner, Yen-Chen Lin, David Mayo, Kyle McAlpin, Taylor Perron, Jean E. Piou, Hrishikesh M. Rao, Hayley Reynolds, Kaira Samuel, Siddharth Samsi, Morgan Schmidt, Leslie Shing, Olga Simek, Brandon Swenson, Vivienne Sze, Jonathan Taylor, Paul Tylkin, Mark Veillette, Matthew L. Weiss, Allan B. Wollaber, Sophia Yuditskaya, Jeremy Kepner

CoRR, 2022

Predicting Cryptocurrency Price Change Direction from Supply-Side Factors via Machine Learning Methods.

David Mayo, Heba Elgazzar

Proceedings of the 2022 IEEE World AI IoT Congress (AIIoT), 2022

2021

On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation.

Binxu Wang, David Mayo, Arturo Deza, Andrei Barbu, Colin Conwell

CoRR, 2021

Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex.

Colin Conwell, David Mayo, Andrei Barbu, Michael A. Buice, George Alvarez, Boris Katz

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2019

ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models.

Andrei Barbu, David Mayo, Julian Alverio, William Luo, Christopher Wang, Dan Gutfreund, Josh Tenenbaum, Boris Katz

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2016

EVA: Exploratory Learning with Virtual Companions Sharing Attention and Context.

Scott W. Greenwald, Markus Funk, Luke Loreti, David Mayo, Pattie Maes

Proceedings of the 16th IEEE International Conference on Advanced Learning Technologies, 2016