Sledovat
Jeremy Howard
Jeremy Howard
Honorary Professor, University of Queensland
E-mailová adresa ověřena na: zz.lc - Domovská stránka
Název
Citace
Citace
Rok
Universal language model fine-tuning for text classification
J Howard, S Ruder
ACM: Proceedings of the 56th Annual Meeting of the Association for …, 2018
55452018
An evidence review of face masks against COVID-19
J Howard, A Huang, Z Li, Z Tufekci, V Zdimal, HM van der Westhuizen, ...
Proceedings of the National Academy of Sciences 118 (4), e2014564118, 2021
1821*2021
Fastai: A layered API for deep learning
J Howard, S Gugger
Information 11 (2), 108, 2020
11652020
Deep Learning for Coders with fastai and PyTorch
J Howard, S Gugger
O'Reilly Media, 2020
2852020
Deep learning-based point-scanning super-resolution imaging
L Fang, F Monroe, SW Novak, L Kirk, CR Schiavon, BY Seungyoon, ...
Nature Methods 18 (4), 406-416, 2021
1662021
MultiFiT: Efficient multi-lingual language model fine-tuning
JM Eisenschlos, S Ruder, P Czapla, M Kardas, S Gugger, J Howard
EMNLP-IJCNLP: Proceedings of the 2019 Conference on Empirical Methods in …, 2019
1152019
Beware default random forest importances
T Parr, K Turgutlu, C Csiszar, J Howard
March 26, 2018, 2018
95*2018
De-identification methods for open health data: the case of the Heritage Health Prize claims dataset
K El Emam, L Arbuckle, G Koru, B Eze, L Gaudette, E Neri, S Rose, ...
Journal of medical Internet research 14 (1), e2001, 2012
952012
Federated benchmarking of medical artificial intelligence with MedPerf
A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ...
Nature Machine Intelligence 5 (7), 799-810, 2023
932023
Imagenette
J Howard
URL https://github. com/fastai/imagenette 2, 2020
912020
The matrix calculus you need for deep learning
T Parr, J Howard
arXiv preprint arXiv:1802.01528, 2018
352018
The business impact of deep learning
J Howard
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
302013
Designing great data products
J Howard, M Zwemer, M Loukides
" O'Reilly Media, Inc.", 2012
192012
How to explain gradient boosting
T Parr, J Howard
Explained. ai, 2018
182018
Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction
BFP Czapla, J Howard
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019). CEUR …, 2019
13*2019
Decrappification, deoldification, and super resolution
J Antic, J Howard, U Manor
Facebook f8 conference, 2019
102019
Winning methods for forecasting tourism time series
LC Baker, J Howard
International Journal of Forecasting 27 (3), 850-852, 2011
92011
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
B Warner, A Chaffin, B Clavié, O Weller, O Hallström, S Taghadouini, ...
arXiv preprint arXiv:2412.13663, 2024
72024
Universal language model fine-tuning for polish hate speech detection
P Czapla, S Gugger, J Howard, M Kardas
Proceedings ofthePolEval2019Workshop, 149, 2019
72019
Universal language model fine-tuning with subword tokenization for polish
P Czapla, J Howard, M Kardas
arXiv preprint arXiv:1810.10222, 2018
62018
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Články 1–20