Články se zplnomocněním k veřejnému přístupu - Kyunghyun ChoDalší informace
Nedostupné nikde: 2
Attention-based cnn for kl grade classification: Data from the osteoarthritis initiative
B Zhang, J Tan, K Cho, G Chang, CM Deniz
2020 IEEE 17th international symposium on biomedical imaging (ISBI), 731-735, 2020
Zplnomocnění: US National Institutes of Health
Semi-supervised learning for predicting total knee replacement with unsupervised data augmentation
J Tan, B Zhang, K Cho, G Chang, CM Deniz
Medical Imaging 2020: Computer-Aided Diagnosis 11314, 153-161, 2020
Zplnomocnění: US National Institutes of Health
Dostupné někde: 66
Attention-based models for speech recognition
J Chorowski, D Bahdanau, D Serdyuk, K Cho, Y Bengio
The Twenty-ninth Annual Conference on Neural Information Processing Systems …, 2015
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Y Dauphin, R Pascanu, C Gulcehre, K Cho, S Ganguli, Y Bengio
Advances in Neural Information Processing Systems (NIPS) 27, 2014
Zplnomocnění: Wellcome Trust
Gated Feedback Recurrent Neural Networks
J Chung, C Gulcehre, K Cho, Y Bengio
International Conference on Machine Learning, 2015
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
O Firat, K Cho, Y Bengio
NAACL, 2016
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
Structure-based protein function prediction using graph convolutional networks
V Gligorijević, PD Renfrew, T Kosciolek, JK Leman, D Berenberg, ...
Nature communications 12 (1), 3168, 2021
Zplnomocnění: US National Science Foundation, US National Institutes of Health, Juvenile …
On integrating a language model into neural machine translation
C Gulcehre, O Firat, K Xu, K Cho, Y Bengio
Computer Speech & Language 45, 137-148, 2017
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
Convolutional recurrent neural networks for music classification
K Choi, G Fazekas, M Sandler, K Cho
2017 IEEE International conference on acoustics, speech and signal …, 2017
Zplnomocnění: UK Engineering and Physical Sciences Research Council, European Commission
Deep neural networks improve radiologists’ performance in breast cancer screening
N Wu, J Phang, J Park, Y Shen, Z Huang, M Zorin, S Jastrzębski, T Févry, ...
IEEE transactions on medical imaging 39 (4), 1184-1194, 2019
Zplnomocnění: US National Institutes of Health
Describing multimedia content using attention-based encoder-decoder networks
K Cho, A Courville, Y Bengio
IEEE Transactions on Multimedia 17 (11), 1875-1886, 2015
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
True few-shot learning with language models
E Perez, D Kiela, K Cho
Advances in neural information processing systems 34, 11054-11070, 2021
Zplnomocnění: US National Science Foundation
Reseg: A recurrent neural network-based model for semantic segmentation
F Visin, M Ciccone, A Romero, K Kastner, K Cho, Y Bengio, M Matteucci, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms
T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ...
JAMA network open 3 (3), e200265-e200265, 2020
Zplnomocnění: US National Institutes of Health, UK Engineering and Physical Sciences …
Health system-scale language models are all-purpose prediction engines
LY Jiang, XC Liu, NP Nejatian, M Nasir-Moin, D Wang, A Abidin, K Eaton, ...
Nature 619 (7969), 357-362, 2023
Zplnomocnění: US National Institutes of Health
QCD-aware recursive neural networks for jet physics
G Louppe, K Cho, C Becot, K Cranmer
Journal of High Energy Physics, 2019
Zplnomocnění: US National Science Foundation
Learning to understand phrases by embedding the dictionary
F Hill, K Cho, A Korhonen, Y Bengio
TACL, 2016
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
Fine-grained attention mechanism for neural machine translation
H Choi, K Cho, Y Bengio
Neurocomputing 284, 171-176, 2018
Zplnomocnění: Natural Sciences and Engineering Research Council of Canada
Segmentation of the proximal femur from MR images using deep convolutional neural networks
CM Deniz, S Xiang, RS Hallyburton, A Welbeck, JS Babb, S Honig, K Cho, ...
Scientific reports 8 (1), 16485, 2018
Zplnomocnění: US National Institutes of Health
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
Y Shen, N Wu, J Phang, J Park, K Liu, S Tyagi, L Heacock, SG Kim, L Moy, ...
Medical image analysis 68, 101908, 2021
Zplnomocnění: US National Science Foundation, US National Institutes of Health
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