Sotabase

Career

· Executive Dean, King's Business School, King's College, London (Current)2017–
· Head, School Of Management And Business, King's College, London2016–
· Professor Of Employment Relations, King's College London2008–

Publications (52)

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
arXiv.org · 2022
2,792
cited
Multitask Prompted Training Enables Zero-Shot Task Generalization
arXiv.org · 2021
1,920
cited
Snorkel: Rapid Training Data Creation with Weak Supervision
Proceedings of the VLDB Endowment · 2017
1,093
cited
Interpretable Decision Sets: A Joint Framework for Description and Prediction
Knowledge Discovery and Data Mining · 2016
823
cited
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic
Journal of machine learning research · 2015
415
cited
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Annual Meeting of the Association for Computational Linguistics · 2022
393
cited
A short introduction to probabilistic soft logic
Neural Information Processing Systems · 2012
242
cited
Learning the Structure of Generative Models without Labeled Data
International Conference on Machine Learning · 2017
175
cited
Paired Learners for Concept Drift
2008 Eighth IEEE International Conference on Data Mining · 2008
160
cited
Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale
SIGMOD Conference · 2018
151
cited
Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction
Conference on Uncertainty in Artificial Intelligence · 2013
114
cited
Snorkel: Fast Training Set Generation for Information Extraction
SIGMOD Conference · 2017
95
cited
Learning to Compose Soft Prompts for Compositional Zero-Shot Learning
International Conference on Learning Representations · 2022
91
cited
Weakly Supervised Sequence Tagging from Noisy Rules
AAAI Conference on Artificial Intelligence · 2020
90
cited
Language Models in the Loop: Incorporating Prompting into Weak Supervision
ACM / IMS Journal of Data Science · 2022
65
cited
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
AAAI/ACM Conference on AI, Ethics, and Society · 2022
64
cited
BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing
Neural Information Processing Systems · 2022
56
cited
Scaling MPE Inference for Constrained Continuous Markov Random Fields with Consensus Optimization
Neural Information Processing Systems · 2012
50
cited
Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees
International Conference on Machine Learning · 2021
39
cited
Zero-Shot Learning with Common Sense Knowledge Graphs
Trans. Mach. Learn. Res. · 2020
39
cited
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Stephen Bach | Researcher Profile | Sotabase | Sotabase