Braden Hancock

23 papers A* 3A 1Journal 12Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
DMLR: Data-centric Machine Learning Research - Past, Present and Future.
J. Data-centric Mach. Learn. Res.
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 Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2023 J jnl
DMLR: Data-centric Machine Learning Research - Past, Present and Future.
CoRR
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 Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2022 J jnl
Language Models in the Loop: Incorporating Prompting into Weak Supervision.
CoRR
Ryan Smith, Jason A. Fries, Braden Hancock, Stephen H. Bach
2019 A* conf
Generating Titles for Web Tables.
WWW
Braden Hancock, Hongrae Lee, Cong Yu
2019 — conf
Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
ACL (1)
Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazaré, Jason Weston
2019 J jnl
Learning from Dialogue after Deployment: Feed Yourself, Chatbot!
CoRR
Braden Hancock, Antoine Bordes, Pierre-Emmanuel Mazaré, Jason Weston
2019 — conf
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale.
SIGMOD Conference
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
2019 A conf
The Role of Massively Multi-Task and Weak Supervision in Software 2.0.
CIDR
Alexander J. Ratner, Braden Hancock, Christopher Ré
2019 A* conf
Training Complex Models with Multi-Task Weak Supervision.
AAAI
Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré
2019 — —
Weak supervision from high-level abstractions.
Braden Hancock
2018 — conf
Fonduer: Knowledge Base Construction from Richly Formatted Data.
SIGMOD Conference
Sen Wu, Luke Hsiao, Xiao Cheng, Braden Hancock, Theodoros Rekatsinas, Philip Alexander Levis, Christopher Ré
2018 J jnl
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale.
CoRR
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
2018 — conf
Snorkel MeTaL: Weak Supervision for Multi-Task Learning.
DEEM@SIGMOD
Alexander Ratner, Braden Hancock, Jared Dunnmon, Roger E. Goldman, Christopher Ré
2018 J jnl
Title Generation for Web Tables.
CoRR
Braden Hancock, Hongrae Lee, Cong Yu
2018 — conf
Training Classifiers with Natural Language Explanations.
ACL (1)
Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher Ré
2018 J jnl
Training Classifiers with Natural Language Explanations.
CoRR
Braden Hancock, Paroma Varma, Stephanie Wang, Martin Bringmann, Percy Liang, Christopher Ré
2018 J jnl
Training Complex Models with Multi-Task Weak Supervision.
CoRR
Alexander Ratner, Braden Hancock, Jared Dunnmon, Frederic Sala, Shreyash Pandey, Christopher Ré
2017 J jnl
Fonduer: Knowledge Base Construction from Richly Formatted Data.
CoRR
Sen Wu, Luke Hsiao, Xiao Cheng, Braden Hancock, Theodoros Rekatsinas, Philip Alexander Levis, Christopher Ré
2016 J jnl
After Sandy Hook Elementary: A Year in the Gun Control Debate on Twitter.
CoRR
Adrian Benton, Braden Hancock, Glen Coppersmith, John W. Ayers, Mark Dredze
2016 A* conf
Collective Supervision of Topic Models for Predicting Surveys with Social Media.
AAAI
Adrian Benton, Michael J. Paul, Braden Hancock, Mark Dredze
2015 J jnl
Computing on Masked Data to improve the Security of Big Data.
CoRR
Vijay Gadepally, Braden Hancock, Benjamin Kaiser, Jeremy Kepner, Peter Michaleas, Mayank Varia, Arkady Yerukhimovich
2015 J jnl
Parallel Vectorized Algebraic AES in MATLAB for Rapid Prototyping of Encrypted Sensor Processing Algorithms and Database Analytics.
CoRR
Jeremy Kepner, Vijay Gadepally, Braden Hancock, Peter Michaleas, Elizabeth Michel, Mayank Varia
2015 — conf
Parallel vectorized algebraic AES in Matlab for rapid prototyping of encrypted sensor processing algorithms and database analytics.
HPEC
Jeremy Kepner, Vijay Gadepally, Braden Hancock, Peter Michaleas, Elizabeth Michel, Mayank Varia