Tyler R. Scott

According to our database, Tyler R. Scott authored at least 11 papers between 2018 and 2023.

Collaborative distances:

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

2023

Learning in temporally structured environments.

Matt Jones, Tyler R. Scott, Mengye Ren, Gamaleldin Fathy Elsayed, Katherine L. Hermann, David Mayo, Michael Curtis Mozer

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multitask Learning Via Interleaving: A Neural Network Investigation.

David Mayo, Tyler R. Scott, Mengye Ren, Gamaledin Elsayed, Katherine L. Hermann, Matt Jones, Michael Mozer

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?

Tyler R. Scott, Ting Liu, Michael C. Mozer, Andrew C. Gallagher

CoRR, 2022

2021

Online Unsupervised Learning of Visual Representations and Categories.

Mengye Ren, Tyler R. Scott, Michael L. Iuzzolino, Michael C. Mozer, Richard S. Zemel

CoRR, 2021

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

Tyler R. Scott, Andrew C. Gallagher, Michael C. Mozer

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Using Semantics of Textbook Highlights to Predict Student Comprehension and Knowledge Retention.

David Y. J. Kim, Tyler R. Scott, Debshila Basu Mallick, Michael C. Mozer

Proceedings of the Third International Workshop on Inteligent Textbooks 2021 Co-located with 22nd International Conference on Artificial Intelligence in Education (AIED 2021), 2021

2020

Unifying Few- and Zero-Shot Egocentric Action Recognition.

Tyler R. Scott, Michael Shvartsman, Karl Ridgeway

CoRR, 2020

Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning.

Zhiang Chen, Tyler R. Scott, Sarah Bearman, Harish Anand, Devin Keating, Chelsea Scott, J. Ramon Arrowsmith, Jnaneshwar Das

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning.

Zhiang Chen, Tyler R. Scott, Sarah Bearman, Harish Anand, Chelsea Scott, J. Ramon Arrowsmith, Jnaneshwar Das

CoRR, 2019

Stochastic Prototype Embeddings.

Tyler R. Scott, Karl Ridgeway, Michael C. Mozer

CoRR, 2019

2018

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

Tyler R. Scott, Karl Ridgeway, Michael C. Mozer

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018