Braden Hancock

According to our database, Braden Hancock authored at least 16 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt D. Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson

CoRR, 2023

2022

Language Models in the Loop: Incorporating Prompting into Weak Supervision.

Ryan Smith, Jason A. Fries, Braden Hancock, Stephen H. Bach

CoRR, 2022

2019

Weak supervision from high-level abstractions.

Braden Hancock

PhD thesis, 2019

Generating Titles for Web Tables.

Braden Hancock, Hongrae Lee, Cong Yu

Proceedings of the World Wide Web Conference, 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, Rob Malkin

Proceedings of the 2019 International Conference on Management of Data, 2019

The Role of Massively Multi-Task and Weak Supervision in Software 2.0.

Alexander J. Ratner, Braden Hancock, Christopher Ré

Proceedings of the 9th Biennial Conference on Innovative Data Systems Research, 2019

Learning from Dialogue after Deployment: Feed Yourself, Chatbot!

Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazaré, Jason Weston

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Training Complex Models with Multi-Task Weak Supervision.

Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Title Generation for Web Tables.

Braden Hancock, Hongrae Lee, Cong Yu

CoRR, 2018

Snorkel MeTaL: Weak Supervision for Multi-Task Learning.

Alexander Ratner, Braden Hancock, Jared Dunnmon, Roger E. Goldman, Christopher Ré

Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning, 2018

Fonduer: Knowledge Base Construction from Richly Formatted Data.

Sen Wu, Luke Hsiao, Xiao Cheng, Braden Hancock, Theodoros Rekatsinas, Philip Alexander Levis, Christopher Ré

Proceedings of the 2018 International Conference on Management of Data, 2018

Training Classifiers with Natural Language Explanations.

Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher Ré

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

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

Collective Supervision of Topic Models for Predicting Surveys with Social Media.

Adrian Benton, Michael J. Paul, Braden Hancock, Mark Dredze

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

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

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

Proceedings of the 2015 IEEE High Performance Extreme Computing Conference, 2015