Stephen H. Bach
4 papers · 2017–2022 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
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Taxonomy Completionist
(10)
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Hot Topic Early Bird
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Mega-Team · Squad
Venues
Top co-authors
Research topics
Keywords
zero-shot learning
(1)
few-shot learning
(1)
structured prediction
(1)
structure learning
(1)
weakly supervised learning
(1)
prompt engineering
(1)
weak supervision
(1)
map inference
(1)
label aggregation
(1)
first-order logic
(1)
generative model
(1)
markov random field
(1)
probabilistic model
(1)
probabilistic graphical model
(1)
unlabeled data
(1)
partial label
(1)
probabilistic soft logic
(1)
hinge-loss markov random field
(1)
convex inference
(1)
dependency structure
(1)
Papers
Learning from Multiple Noisy Partial Labelers
AISTATS 2022
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
ACL 2022
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic
JMLR 2017
Learning the Structure of Generative Models without Labeled Data
ICML 2017