Yacine Jernite
Yacine Jernite
Research Scientist, HuggingFace
Zweryfikowany adres z cs.nyu.edu - Strona główna
Cytowane przez
Cytowane przez
Character-aware neural language models
Y Kim, Y Jernite, D Sontag, AM Rush
Thirtieth AAAI conference on artificial intelligence, 2016
Huggingface's transformers: State-of-the-art natural language processing
T Wolf, L Debut, V Sanh, J Chaumond, C Delangue, A Moi, P Cistac, ...
arXiv preprint arXiv:1910.03771, 2019
Transformers: State-of-the-art natural language processing
T Wolf, J Chaumond, L Debut, V Sanh, C Delangue, A Moi, P Cistac, ...
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning
S Horng, DA Sontag, Y Halpern, Y Jernite, NI Shapiro, LA Nathanson
PloS one 12 (4), e0174708, 2017
ELI5: Long form question answering
A Fan, Y Jernite, E Perez, D Grangier, J Weston, M Auli
arXiv preprint arXiv:1907.09190, 2019
Discourse-based objectives for fast unsupervised sentence representation learning
Y Jernite, SR Bowman, D Sontag
arXiv preprint arXiv:1705.00557, 2017
Kilt: a benchmark for knowledge intensive language tasks
F Petroni, A Piktus, A Fan, P Lewis, M Yazdani, N De Cao, J Thorne, ...
arXiv preprint arXiv:2009.02252, 2020
Variable computation in recurrent neural networks
Y Jernite, E Grave, A Joulin, T Mikolov
arXiv preprint arXiv:1611.06188, 2016
The random subgraph model for the analysis of an ecclesiastical network in Merovingian Gaul
Y Jernite, P Latouche, C Bouveyron, P Rivera, L Jegou, S Lamassé
The Annals of Applied Statistics 8 (1), 377-405, 2014
Discovering hidden variables in noisy-or networks using quartet tests
Y Jernite, Y Halpern, D Sontag
Advances in Neural Information Processing Systems 26, 2355-2363, 2013
Simultaneous learning of trees and representations for extreme classification and density estimation
Y Jernite, A Choromanska, D Sontag
International Conference on Machine Learning, 1665-1674, 2017
The gem benchmark: Natural language generation, its evaluation and metrics
S Gehrmann, T Adewumi, K Aggarwal, PS Ammanamanchi, ...
arXiv preprint arXiv:2102.01672, 2021
A fast variational approach for learning Markov random field language models
Y Jernite, A Rush, D Sontag
International Conference on Machine Learning, 2209-2217, 2015
Predicting chief complaints at triage time in the emergency department
Y Jernite, Y Halpern, S Horng, D Sontag
NIPS 2013 Workshop on Machine Learning for Clinical Data Analysis and Healthcare, 2013
Grounded recurrent neural networks
A Vani, Y Jernite, D Sontag
arXiv preprint arXiv:1705.08557, 2017
Quality at a glance: An audit of web-crawled multilingual datasets
I Caswell, J Kreutzer, L Wang, A Wahab, D van Esch, N Ulzii-Orshikh, ...
arXiv preprint arXiv:2103.12028, 2021
Craftassist: A framework for dialogue-enabled interactive agents
J Gray, K Srinet, Y Jernite, H Yu, Z Chen, D Guo, S Goyal, CL Zitnick, ...
arXiv preprint arXiv:1907.08584, 2019
Contextual autocomplete: a novel user interface using machine learning to improve ontology usage and structured data capture for presenting problems in the emergency department
NR Greenbaum, Y Jernite, Y Halpern, S Calder, LA Nathanson, D Sontag, ...
BioRxiv, 127092, 2017
Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces
NR Greenbaum, Y Jernite, Y Halpern, S Calder, LA Nathanson, ...
International journal of medical informatics 132, 103981, 2019
Improving conditioning in context-aware sequence to sequence models
X Wang, J Weston, M Auli, Y Jernite
arXiv preprint arXiv:1911.09728, 2019
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