Scott Howland

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 8

Top Topics

Machine Learning

Language Understanding

Contextual Constraints

Structured Representations

Top Venues

Publications

Scott Howland, Lara Kassab, Keerti Kappagantula, Henry Kvinge, Tegan Emerson
Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing. CoRR (2023)
Lara Kassab, Scott Howland, Henry Kvinge, Keerti Sahithi Kappagantula, Tegan Emerson
TopTemp: Parsing Precipitate Structure from Temper Topology. CoRR (2022)
Matthew Setzler, Scott Howland, Lauren A. Phillips
Recursive Decoding: A Situated Cognition Approach to Compositional Generation in Grounded Language Understanding. CoRR (2022)
Lara Kassab, Scott Howland, Henry Kvinge, Keerti Sahithi Kappagantula, Tegan Emerson
TopTemp: Parsing Precipitate Structure from Temper Topology. TAG-ML (2022)
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
Adaptive Transfer Learning: a simple but effective transfer learning. CoRR (2021)
Henry Kvinge, Colby Wight, Sarah Akers, Scott Howland, Woongjo Choi, Xiaolong Ma, Luke Gosink, Elizabeth Jurrus, Keerti Kappagantula, Tegan H. Emerson
A Topological-Framework to Improve Analysis of Machine Learning Model Performance. CoRR (2021)
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
One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations. CoRR (2021)
Nathan Hilliard, Lawrence Phillips, Scott Howland, Artëm Yankov, Courtney D. Corley, Nathan O. Hodas
Few-Shot Learning with Metric-Agnostic Conditional Embeddings. CoRR (2018)