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 (CogSci, 2014)

Switch it up: Learning Categories via Feature Switching. - Garrett Honke; Nolan Conaway; Kenneth J. Kurtz (CogSci, 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)

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 (CogSci, 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)

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)

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)

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)

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 011; 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; Sunny Duan; Pramod Gupta; Julia Klawohn; Greg Hajcak (ICLR, 2021)

Translation between Molecules and Natural Language. - Carl Edwards; Tuan Manh Lai; Kevin Ros; Garrett Honke; Kyunghyun Cho; Heng Ji 001 (EMNLP, 2022)

Translation between Molecules and Natural Language. - Carl Edwards; Tuan Manh Lai; Kevin Ros; Garrett Honke; Heng Ji (CoRR, 2022)

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 002; Daniel E. Ho; Garrett Honke; Percy Liang; Christopher D. Manning (CoRR, 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)

LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain. - Joel Niklaus; Lucia Zheng; Arya D. McCarthy; Christopher Hahn; Brian M. Rosen; Peter Henderson 002; Daniel E. Ho; Garrett Honke; Percy Liang; Christopher D. Manning (NAACL (Findings), 2025)