Tyler R. Scott

According to our database1, Tyler R. Scott authored at least 12 papers between 2018 and 2024.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Human-like Learning in Temporally Structured Environments.
Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023
Learning in temporally structured environments.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multitask Learning Via Interleaving: A Neural Network Investigation.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022
An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?
CoRR, 2022

2021
Online Unsupervised Learning of Visual Representations and Categories.
CoRR, 2021

von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Using Semantics of Textbook Highlights to Predict Student Comprehension and Knowledge Retention.
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.
CoRR, 2020

Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning.
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.
CoRR, 2019

Stochastic Prototype Embeddings.
CoRR, 2019

2018
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


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