Scott Howland

According to our database, Scott Howland authored at least 7 papers between 2018 and 2023.

Collaborative distances:

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

2023

Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing.

Scott Howland, Lara Kassab, Keerti Kappagantula, Henry Kvinge, Tegan Emerson

CoRR, 2023

2022

Recursive Decoding: A Situated Cognition Approach to Compositional Generation in Grounded Language Understanding.

Matthew Setzler, Scott Howland, Lauren A. Phillips

CoRR, 2022

TopTemp: Parsing Precipitate Structure from Temper Topology.

Lara Kassab, Scott Howland, Henry Kvinge, Keerti Sahithi Kappagantula, Tegan Emerson

Proceedings of the Topological, 2022

2021

Adaptive Transfer Learning: a simple but effective transfer learning.

Jung H. Lee, Henry J. Kvinge, Scott Howland, Zachary New, John Buckheit, Lauren A. Phillips, Elliott Skomski, Jessica Hibler, Courtney D. Corley, Nathan O. Hodas

CoRR, 2021

A Topological-Framework to Improve Analysis of Machine Learning Model Performance.

Henry Kvinge, Colby Wight, Sarah Akers, Scott Howland, Woongjo Choi, Xiaolong Ma, Luke J. Gosink, Elizabeth Jurrus, Keerti Kappagantula, Tegan H. Emerson

CoRR, 2021

One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations.

Henry Kvinge, Scott Howland, Nico Courts, Lauren A. Phillips, John Buckheit, Zachary New, Elliott Skomski, Jung H. Lee, Sandeep Tiwari, Jessica Hibler, Courtney D. Corley, Nathan O. Hodas

CoRR, 2021

2018

Few-Shot Learning with Metric-Agnostic Conditional Embeddings.

Nathan Hilliard, Lawrence Phillips, Scott Howland, Artëm Yankov, Courtney D. Corley, Nathan O. Hodas

CoRR, 2018