Garrett Honke

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 13

Top Topics

Promote Learning

Natural Language

Classification Accuracy

Convolutional Neural Networks

Top Venues

Publications

John Kirchenbauer, Garrett Honke, Gowthami Somepalli, Jonas Geiping, Daphne Ippolito, Katherine Lee, Tom Goldstein, David Andre
LMD3: Language Model Data Density Dependence. CoRR (2024)
Joel Niklaus, Lucia Zheng, Arya D. McCarthy, Christopher Hahn, Brian M. Rosen, Peter Henderson, Daniel E. Ho, Garrett Honke, Percy Liang, Christopher D. Manning
FLawN-T5: An Empirical Examination of Effective Instruction-Tuning Data Mixtures for Legal Reasoning. CoRR (2024)
Carl Edwards, Tuan Lai, Kevin Ros, Garrett Honke, Kyunghyun Cho, Heng Ji
Translation between Molecules and Natural Language. EMNLP (2022)
Carl Edwards, Tuan Lai, Kevin Ros, Garrett Honke, Heng Ji
Translation between Molecules and Natural Language. CoRR (2022)
Garrett Honke, Irina Higgins, Nina Thigpen, Vladimir Miskovic, Katie Link, Sunny Duan, Pramod Gupta, Julia Klawohn, Greg Hajcak
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG. ICLR (2021)
Garrett Honke, Irina Higgins, Nina Thigpen, Vladimir Miskovic, Katie Link, Pramod Gupta, Julia Klawohn, Greg Hajcak
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG. CoRR (2020)
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
Using Convolutional Variational Autoencoders to Predict Post-Trauma Health Outcomes from Actigraphy Data. CoRR (2020)
Numa Dhamani, Paul Azunre, Jeffrey L. Gleason, Craig Corcoran, Garrett Honke, Steve Kramer, Jonathon Morgan
Using Deep Networks and Transfer Learning to Address Disinformation. CoRR (2019)
Paul Azunre, Craig Corcoran, Numa Dhamani, Jeffrey L. Gleason, Garrett Honke, David Sullivan, Rebecca Ruppel, Sandeep Verma, Jonathon Morgan
Semantic Classification of Tabular Datasets via Character-Level Convolutional Neural Networks. CoRR (2019)
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
Relational Categories: Why they're Important and How they are Learned. CogSci (2018)
Paul Azunre, Craig Corcoran, David Sullivan, Garrett Honke, Rebecca Ruppel, Sandeep Verma, Jonathon Morgan
Abstractive Tabular Dataset Summarization via Knowledge Base Semantic Embeddings. CoRR (2018)
Garrett Honke, Nolan Conaway, Kenneth J. Kurtz
Switch it up: Learning Categories via Feature Switching. CogSci (2016)
Dedre Gentner, Susan C. Levine, Raedy M. Ping, Ashley Isaia, Sonica Dhillon, Claire Bradley, Garrett Honke
Rapid Learning in a Children's Museum via Analogical Comparison. Cogn. Sci. 40 (1) (2016)
Kenneth J. Kurtz, Andy Cavagnetto, Garrett Honke, Nolan Conaway, John D. Patterson, James C. Marr, Yan Tao
Optimizing the category construction task to promote learning and transfer of knowledge in classroom instruction. CogSci (2014)