Not All Language Model Features Are Linear.
Joshua Engels, Eric J. Michaud, Isaac Liao, Wes Gurnee, and Max Tegmark.
Preprint |
Code |
Twitter
Approximate Nearest Neighbor Search with Window Filters.
Joshua Engels, Benjamin Landrum, Shangdi Yu, Laxman Dhulipala, and Julian Shun.
To appear at ICML 2024.
Preprint |
Code
PECANN: Parallel Efficient Clustering with Graph-Based Approximate Nearest Neighbor Search.
Shangdi Yu, Joshua Engels, Yihao Huang, and Julian Shun.
Preprint |
Code
DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries.
Joshua Engels, Benjamin Coleman, Vihan Lakshman, and Anshumali Shrivastava
NeurIPS 2023.
Paper |
Code |
Blog Post
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Search and Recommendation Models on Commodity CPU Hardware.
Nicholas Meisburger, Vihan Lakshman, Benito Geordie, Joshua Engels, David Torres Ramos, Pratik Pranav, Benjamin Coleman, et al.
CIKM 2023.
Paper
From Research to Production: Towards Scalable and Sustainable Neural Recommendation Models on Commodity CPU Hardware.
Anshumali Shrivastava, Vihan Lakshman, Tharun Medini, Nicholas Meisburger, Joshua Engels, David Torres Ramos, Benito Geordie, et al.
RecSys 2023.
Paper
Practical Near Neighbor Search via Group Testing.
Joshua Engels*, Benjamin Coleman*, and Anshumali Shrivastava
NeurIPS 2021: Spotlight talk - top 3%
Paper |
Talk |
Code
Missed one! How ballot layout and visual task strategy can interact to produce voting errors.
Joshua Engels, Xianni Wang, Michael D. Byrne
International Conference on Cognitive Modeling 2020.
Paper |
Talk |
Code |
Blog Post