Concepedia

Tyler R. Scott

TR

5

Publications

162

Citations

5

H-Index

2018

Active since

Affiliations

University of Colorado Boulder(Current)

Google (United States)

University of Colorado System

Tyler R. Scott is an author at University of Colorado Boulder specializing in engineering, supervised learning, and data science.

Top concepts

EngineeringData ScienceComputer ScienceMachine LearningFew-shot LearningSupervised LearningSemi-supervised LearningProbabilityDeep LearningImage Analysis

Publications per year

2018–2021

5

Publications

5

Adapted Deep Embeddings: A Synthesis of Methods for $k$-Shot Inductive Transfer Learning

Tyler R. Scott, Karl Ridgeway, Michael C. Mozer · arXiv (Cornell University) · 2018 · 48 citations · Full text

High-resolution surface faulting from the 1983 Idaho Lost River Fault Mw 6.9 earthquake and previous events

Simone Bello, Chelsea Scott, Federica Ferrarini et al. · Scientific Data · 2021 · 46 citations · Full text

Adapted Deep Embeddings: A Synthesis of Methods for $k$-Shot Inductive\n Transfer Learning

Tyler R. Scott, Karl Ridgeway, Michael C. Mozer · arXiv (Cornell University) · 2018 · 32 citations · Full text

von Mises–Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning

Tyler R. Scott, Andrew Gallagher, Michael C. Mozer · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) · 2021 · 26 citations

Few-shot Learning, Geometric Learning, Engineering +18

Stochastic Prototype Embeddings

Tyler R. Scott, Karl Ridgeway, Michael C. Mozer · arXiv (Cornell University) · 2019 · 10 citations · Full text

Natural Language Processing, Few-shot Learning, Efficient Sampler +15

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