Parallel vectorized algebraic AES in Matlab for rapid prototyping of encrypted sensor processing algorithms and database analytics. - Jeremy Kepner; Vijay Gadepally; Braden Hancock; Peter Michaleas; Elizabeth Michel; Mayank Varia (HPEC, 2015)

Computing on Masked Data to improve the Security of Big Data. - Vijay Gadepally; Braden Hancock; Benjamin Kaiser; Jeremy Kepner; Peter Michaleas; Mayank Varia; Arkady Yerukhimovich (CoRR, 2015)

Collective Supervision of Topic Models for Predicting Surveys with Social Media. - Adrian Benton; Michael J. Paul; Braden Hancock; Mark Dredze (AAAI, 2016)

After Sandy Hook Elementary: A Year in the Gun Control Debate on Twitter. - Adrian Benton; Braden Hancock; Glen Coppersmith; John W. Ayers; Mark Dredze (CoRR, 2016)

Training Classifiers with Natural Language Explanations. - Braden Hancock; Paroma Varma; Stephanie Wang; Martin Bringmann; Percy Liang; Christopher Ré (ACL (1), 2018)

Fonduer: Knowledge Base Construction from Richly Formatted Data. - Sen Wu 002; Luke Hsiao; Xiao Cheng; Braden Hancock; Theodoros Rekatsinas; Philip Alexander Levis; Christopher Ré (SIGMOD Conference, 2018)

Snorkel MeTaL: Weak Supervision for Multi-Task Learning. - Alexander Ratner; Braden Hancock; Jared Dunnmon; Roger E. Goldman; Christopher Ré (DEEM@SIGMOD, 2018)

Title Generation for Web Tables. - Braden Hancock; Hongrae Lee; Cong Yu 001 (CoRR, 2018)

Training Complex Models with Multi-Task Weak Supervision. - Alexander Ratner; Braden Hancock; Jared Dunnmon; Frederic Sala; Shreyash Pandey; Christopher Ré (AAAI, 2019)

Learning from Dialogue after Deployment: Feed Yourself, Chatbot! - Braden Hancock; Antoine Bordes; Pierre-Emmanuel Mazaré; Jason Weston (ACL (1), 2019)

The Role of Massively Multi-Task and Weak Supervision in Software 2.0. - Alexander J. Ratner; Braden Hancock; Christopher Ré (CIDR, 2019)

Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale. - Stephen H. Bach; Daniel Rodriguez; Yintao Liu; Chong Luo; Haidong Shao; Cassandra Xia; Souvik Sen; Alexander Ratner; Braden Hancock; Houman Alborzi; Rahul Kuchhal; Christopher Ré; et al. (SIGMOD Conference, 2019)

Generating Titles for Web Tables. - Braden Hancock; Hongrae Lee; Cong Yu 001 (WWW, 2019)

Weak supervision from high-level abstractions. - Braden Hancock (2019)

Language Models in the Loop: Incorporating Prompting into Weak Supervision. - Ryan Smith; Jason A. Fries; Braden Hancock; Stephen H. Bach (CoRR, 2022)

DMLR: Data-centric Machine Learning Research - Past, Present and Future. - Luis Oala; Manil Maskey; Lilith Bat-Leah; Alicia Parrish; Nezihe Merve Gürel; Tzu-Sheng Kuo; Yang Liu 018; Rotem Dror; Danilo Brajovic; Xiaozhe Yao; Max Bartolo; William Gaviria Rojas; et al. (CoRR, 2023)