Tyler R. Scott

14 papers A* 3A 1B 1Journal 7Unranked 2
YearRankTypeTitle / Venue / Authors
2024 — conf
Human-like Learning in Temporally Structured Environments.
AAAI Spring Symposia
Matt Jones, Tyler R. Scott, Michael C. Mozer
2023 A* conf
Learning in temporally structured environments.
ICLR
Matt Jones, Tyler R. Scott, Mengye Ren, Gamaleldin Fathy Elsayed, Katherine L. Hermann, David Mayo, Michael Curtis Mozer
2023 B conf
Multitask Learning Via Interleaving: A Neural Network Investigation.
CogSci
David Mayo, Tyler R. Scott, Mengye Ren, Gamaledin Elsayed, Katherine L. Hermann, Matt Jones, Michael Mozer
2022 J jnl
An Empirical Study on Clustering Pretrained Embeddings: Is Deep Strictly Better?
CoRR
Tyler R. Scott, Ting Liu, Michael C. Mozer, Andrew C. Gallagher
2021 J jnl
Online Unsupervised Learning of Visual Representations and Categories.
CoRR
Mengye Ren, Tyler R. Scott, Michael L. Iuzzolino, Michael C. Mozer, Richard S. Zemel
2021 — conf
Using Semantics of Textbook Highlights to Predict Student Comprehension and Knowledge Retention.
iTextbooks@AIED
David Y. J. Kim, Tyler R. Scott, Debshila Basu Mallick, Michael C. Mozer
2021 A* conf
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning.
ICCV
Tyler R. Scott, Andrew C. Gallagher, Michael C. Mozer
2021 J jnl
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning.
CoRR
Tyler R. Scott, Andrew C. Gallagher, Michael C. Mozer
2020 A conf
Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning.
IROS
Zhiang Chen, Tyler R. Scott, Sarah Bearman, Harish Anand, Devin Keating, Chelsea Scott, J. Ramon Arrowsmith, Jnaneshwar Das
2020 J jnl
Unifying Few- and Zero-Shot Egocentric Action Recognition.
CoRR
Tyler R. Scott, Michael Shvartsman, Karl Ridgeway
2019 J jnl
Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning.
CoRR
Zhiang Chen, Tyler R. Scott, Sarah Bearman, Harish Anand, Chelsea Scott, J. Ramon Arrowsmith, Jnaneshwar Das
2019 J jnl
Stochastic Prototype Embeddings.
CoRR
Tyler R. Scott, Karl Ridgeway, Michael C. Mozer
2018 A* conf
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning.
NeurIPS
Tyler R. Scott, Karl Ridgeway, Michael C. Mozer
2018 J jnl
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning.
CoRR
Tyler R. Scott, Karl Ridgeway, Michael C. Mozer