Scott Howland

According to our database1, Scott Howland authored at least 8 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2018
2019
2020
2021
2022
2023
2024
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1
2
3
4
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3
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Exploring the Benefits of Domain-Pretraining of Generative Large Language Models for Chemistry.
CoRR, 2024

2023
Parameters, Properties, and Process: Conditional Neural Generation of Realistic SEM Imagery Towards ML-assisted Advanced Manufacturing.
CoRR, 2023

2022
Recursive Decoding: A Situated Cognition Approach to Compositional Generation in Grounded Language Understanding.
CoRR, 2022

TopTemp: Parsing Precipitate Structure from Temper Topology.
Proceedings of the Topological, 2022

2021
Adaptive Transfer Learning: a simple but effective transfer learning.
CoRR, 2021

A Topological-Framework to Improve Analysis of Machine Learning Model Performance.
CoRR, 2021

One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations.
CoRR, 2021

2018
Few-Shot Learning with Metric-Agnostic Conditional Embeddings.
CoRR, 2018


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