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2020 – today
- 2024
[i8]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 abs/2404.02127 (2024)- [i7]John Kirchenbauer, Garrett Honke, Gowthami Somepalli, Jonas Geiping, Daphne Ippolito, Katherine Lee, Tom Goldstein, David Andre:
LMD3: Language Model Data Density Dependence. CoRR abs/2405.06331 (2024) - 2022
- [c5]Carl Edwards, Tuan Manh Lai, Kevin Ros, Garrett Honke, Kyunghyun Cho, Heng Ji:
Translation between Molecules and Natural Language. EMNLP 2022: 375-413 - [i6]Carl Edwards, Tuan Manh Lai, Kevin Ros, Garrett Honke, Heng Ji:
Translation between Molecules and Natural Language. CoRR abs/2204.11817 (2022) - 2021
- [c4]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 - 2020
- [i5]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 abs/2010.15274 (2020) - [i4]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 abs/2011.07406 (2020)
2010 – 2019
- 2019
- [i3]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 abs/1901.08456 (2019) - [i2]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 abs/1905.10412 (2019) - 2018
- [c3]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 - [i1]Paul Azunre, Craig Corcoran, David Sullivan, Garrett Honke, Rebecca Ruppel, Sandeep Verma, Jonathon Morgan:
Abstractive Tabular Dataset Summarization via Knowledge Base Semantic Embeddings. CoRR abs/1804.01503 (2018) - 2016
- [j1]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): 224-240 (2016) - [c2]Garrett Honke, Nolan Conaway, Kenneth J. Kurtz:
Switch it up: Learning Categories via Feature Switching. CogSci 2016 - 2014
- [c1]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
Coauthor Index
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