재정 지원 요구사항을 통해 공개된 자료 - Stephen H. Bach자세히 알아보기
제공된 곳이 있음: 20
Bloom: A 176b-parameter open-access multilingual language model
T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
재정 지원 요구사항 정책: National Institute of Health and Medical Research, France, Netherlands …
Snorkel: Rapid training data creation with weak supervision
A Ratner, SH Bach, H Ehrenberg, J Fries, S Wu, C Ré
The VLDB Journal 29 (2), 709-730, 2020
재정 지원 요구사항 정책: US Department of Energy, US Department of Defense, US National Institutes of …
Interpretable decision sets: A joint framework for description and prediction
H Lakkaraju, SH Bach, J Leskovec
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2016
재정 지원 요구사항 정책: US National Science Foundation, US National Institutes of Health
Hinge-loss Markov random fields and probabilistic soft logic
SH Bach, M Broecheler, B Huang, L Getoor
Journal of Machine Learning Research 18 (109), 1-67, 2017
재정 지원 요구사항 정책: US National Science Foundation, US Office of the Director of National …
Learning the structure of generative models without labeled data
SH Bach, B He, A Ratner, C Ré
International Conference on Machine Learning (ICML), 2017
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense, US National …
Snorkel DryBell: A case study in deploying weak supervision at industrial scale
SH Bach, D Rodriguez, Y Liu, C Luo, H Shao, C Xia, S Sen, A Ratner, ...
International Conference on Management of Data (SIGMOD), 2019
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense, US National …
Weakly Supervised Sequence Tagging from Noisy Rules
E Safranchik, S Luo, SH Bach
AAAI Conference on Artificial Intelligence (AAAI), 2020
재정 지원 요구사항 정책: US Department of Defense
Fairness via explanation quality: Evaluating disparities in the quality of post hoc explanations
J Dai, S Upadhyay, U Aivodji, SH Bach, H Lakkaraju
Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 203-214, 2022
재정 지원 요구사항 정책: US National Science Foundation
Bigbio: A framework for data-centric biomedical natural language processing
J Fries, L Weber, N Seelam, G Altay, D Datta, S Garda, S Kang, R Su, ...
Advances in Neural Information Processing Systems 35, 25792-25806, 2022
재정 지원 요구사항 정책: German Research Foundation, Helmholtz Association, European Commission
Adversarial Multiclass Learning under Weak Supervision with Performance Guarantees
A Mazzetto, C Cousins, D Sam, SH Bach, E Upfal
International Conference on Machine Learning (ICML), 2021
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense
Soft quantification in statistical relational learning
G Farnadi, SH Bach, MF Moens, L Getoor, M De Cock
Machine Learning 106, 1971-1991, 2017
재정 지원 요구사항 정책: US National Science Foundation, Research Foundation (Flanders)
Semi-supervised aggregation of dependent weak supervision sources with performance guarantees
A Mazzetto, D Sam, A Park, E Upfal, SH Bach
Artificial Intelligence and Statistics (AISTATS), 2021
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense
Learning from multiple noisy partial labelers
P Yu, T Ding, SH Bach
International conference on artificial intelligence and statistics, 11072-11095, 2022
재정 지원 요구사항 정책: US Department of Defense
Enhancing clip with clip: Exploring pseudolabeling for limited-label prompt tuning
C Menghini, A Delworth, S Bach
Advances in Neural Information Processing Systems 36, 60984-61007, 2023
재정 지원 요구사항 정책: US Department of Defense
Statistical relational learning with soft quantifiers
G Farnadi, SH Bach, M Blondeel, MF Moens, L Getoor, M De Cock
International Conference on Inductive Logic Programming, 60-75, 2015
재정 지원 요구사항 정책: Research Foundation (Flanders)
Extending PSL with fuzzy quantifiers
G Farnadi, SH Bach, MF Moens, L Getoor, M De Cock
Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
재정 지원 요구사항 정책: Research Foundation (Flanders)
Tight lower bounds on worst-case guarantees for zero-shot learning with attributes
A Mazzetto, C Menghini, A Yuan, E Upfal, S Bach
Advances in Neural Information Processing Systems 35, 19732-19745, 2022
재정 지원 요구사항 정책: US National Science Foundation, US Department of Defense
Leveraging large language models for structure learning in prompted weak supervision
J Su, P Yu, J Zhang, SH Bach
2023 IEEE International Conference on Big Data (BigData), 875-884, 2023
재정 지원 요구사항 정책: US Department of Defense
TAGLETS: A system for automatic semi-supervised learning with auxiliary data
W Piriyakulkij, C Menghini, R Briden, NV Nayak, J Zhu, E Raisi, S Bach
Proceedings of Machine Learning and Systems 4, 580-600, 2022
재정 지원 요구사항 정책: US Department of Defense
Selecting Auxiliary Data Using Knowledge Graphs for Image Classification with Limited Labels
E Raisi, SH Bach
재정 지원 요구사항 정책: US Department of Defense
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