Ryan Benkert

According to our database, Ryan Benkert authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Gaussian Switch Sampling: A Second-Order Approach to Active Learning.

Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib, Armin Pacharmi, Enrique Corona

IEEE Trans. Artif. Intell., January, 2024

2023

FOCAL: A Cost-Aware Video Dataset for Active Learning.

Kiran Kokilepersaud, Yash-Yee Logan, Ryan Benkert, Chen Zhou, Mohit Prabhushankar, Ghassan AlRegib, Enrique Corona, Kunjan Singh, Mostafa Parchami

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Example Forgetting: A Novel Approach to Explain and Interpret Deep Neural Networks in Seismic Interpretation.

Ryan Benkert, Oluwaseun Joseph Aribido, Ghassan AlRegib

IEEE Trans. Geosci. Remote. Sens., 2022

Patient Aware Active Learning for Fine-Grained OCT Classification.

Yash-Yee Logan, Ryan Benkert, Ahmad Mustafa, Gukyeong Kwon, Ghassan AlRegib

CoRR, 2022

Patient Aware Active Learning for Fine-Grained OCT Classification.

Yash-Yee Logan, Ryan Benkert, Ahmad Mustafa, Ghassan AlRegib

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data.

Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

Explaining Deep Models Through Forgettable Learning Dynamics.

Ryan Benkert, Oluwaseun Joseph Aribido, Ghassan AlRegib

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021