Garrett Honke

According to our database, Garrett Honke authored at least 14 papers between 2014 and 2024.

Collaborative distances:

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

2024

LMD3: Language Model Data Density Dependence.

John Kirchenbauer, Garrett Honke, Gowthami Somepalli, Jonas Geiping, Daphne Ippolito, Katherine Lee, Tom Goldstein, David Andre

CoRR, 2024

FLawN-T5: An Empirical Examination of Effective Instruction-Tuning Data Mixtures for Legal Reasoning.

Joel Niklaus, Lucia Zheng, Arya D. McCarthy, Christopher Hahn, Brian M. Rosen, Peter Henderson, Daniel E. Ho, Garrett Honke, Percy Liang, Christopher D. Manning

CoRR, 2024

2022

Translation between Molecules and Natural Language.

Carl Edwards, Tuan Manh Lai, Kevin Ros, Garrett Honke, Heng Ji

CoRR, 2022

Translation between Molecules and Natural Language.

Carl Edwards, Tuan Manh Lai, Kevin Ros, Garrett Honke, Kyunghyun Cho, Heng Ji

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Representation learning for improved interpretability and classification accuracy of clinical factors from EEG.

Garrett Honke, Irina Higgins, Nina Thigpen, Vladimir Miskovic, Katie Link, Sunny Duan, Pramod Gupta, Julia Klawohn, Greg Hajcak

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data.

Ayse S. Cakmak, Nina Thigpen, Garrett Honke, Erick Andres Perez-Alday, Ali Bahrami Rad, Rebecca Adaimi, Chia-Jung Chang, Qiao Li, Pramod Gupta, Thomas Neylan, Samuel A. McLean, Gari D. Clifford

CoRR, 2020

Representation learning for improved interpretability and classification accuracy of clinical factors from EEG.

Garrett Honke, Irina Higgins, Nina Thigpen, Vladimir Miskovic, Katie Link, Pramod Gupta, Julia Klawohn, Greg Hajcak

CoRR, 2020

2019

Using Deep Networks and Transfer Learning to Address Disinformation.

Numa Dhamani, Paul Azunre, Jeffrey L. Gleason, Craig Corcoran, Garrett Honke, Steve Kramer, Jonathon Morgan

CoRR, 2019

Semantic Classification of Tabular Datasets via Character-Level Convolutional Neural Networks.

Paul Azunre, Craig Corcoran, Numa Dhamani, Jeffrey L. Gleason, Garrett Honke, David Sullivan, Rebecca Ruppel, Sandeep Verma, Jonathon Morgan

CoRR, 2019

2018

Abstractive Tabular Dataset Summarization via Knowledge Base Semantic Embeddings.

Paul Azunre, Craig Corcoran, David Sullivan, Garrett Honke, Rebecca Ruppel, Sandeep Verma, Jonathon Morgan

CoRR, 2018

Relational Categories: Why they're Important and How they are Learned.

Dedre Gentner, Nina Simms, Kenneth J. Kurtz, Garrett Honke, Sean Snoddy, Kenneth D. Forbus, Lindsey E. Richland, Bryan J. Matlen, Emily McLaughlin Lyons, Ellen C. Klostermann

Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

2016

Rapid Learning in a Children's Museum via Analogical Comparison.

Dedre Gentner, Susan C. Levine, Raedy M. Ping, Ashley Isaia, Sonica Dhillon, Claire Bradley, Garrett Honke

Cogn. Sci., 2016

Switch it up: Learning Categories via Feature Switching.

Garrett Honke, Nolan Conaway, Kenneth J. Kurtz

Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2014

Optimizing the category construction task to promote learning and transfer of knowledge in classroom instruction.

Kenneth J. Kurtz, Andy Cavagnetto, Garrett Honke, Nolan Conaway, John D. Patterson, James C. Marr, Yan Tao

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014