Andrew Dai
TitleCited byYear
Generating sentences from a continuous space
SR Bowman, L Vilnis, O Vinyals, AM Dai, R Jozefowicz, S Bengio
Proceedings of the 20th SIGNLL Conference on Computational Natural Language …, 2016
8432016
Semi-supervised sequence learning
AM Dai, QV Le
Advances in neural information processing systems, 3079-3087, 2015
5482015
Scalable and accurate deep learning with electronic health records
A Rajkomar, E Oren, K Chen, AM Dai, N Hajaj, M Hardt, PJ Liu, X Liu, ...
NPJ Digital Medicine 1 (1), 18, 2018
3922018
HyperNetworks
D Ha, A Dai, QV Le
Proceedings of the International Conference on Learning Representations, 2017
3172017
Document embedding with paragraph vectors
AM Dai, C Olah, QV Le
NIPS 2014 Deep learning workshop, 2015
2712015
Adversarial Training Methods for Semi-Supervised Text Classification
T Miyato, AM Dai, I Goodfellow
Proceedings of the International Conference on Learning Representations, 2017
2152017
MaskGAN: better text generation via filling in the_
W Fedus, I Goodfellow, AM Dai
arXiv preprint arXiv:1801.07736, 2018
1372018
Many paths to equilibrium: GANs do not need to decrease a divergence at every step
W Fedus, M Rosca, B Lakshminarayanan, AM Dai, S Mohamed, ...
arXiv preprint arXiv:1710.08446, 2017
822017
Natural questions: a benchmark for question answering research
T Kwiatkowski, J Palomaki, O Redfield, M Collins, A Parikh, C Alberti, ...
Transactions of the Association for Computational Linguistics 7, 453-466, 2019
552019
Who said what: Modeling individual labelers improves classification
MY Guan, V Gulshan, AM Dai, GE Hinton
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
502018
Learning longer-term dependencies in rnns with auxiliary losses
TH Trinh, AM Dai, MT Luong, QV Le
arXiv preprint arXiv:1803.00144, 2018
492018
Language-independent compound splitting with morphological operations
K Macherey, AM Dai, D Talbot, AC Popat, F Och
Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011
472011
Embedding text in hyperbolic spaces
B Dhingra, CJ Shallue, M Norouzi, AM Dai, GE Dahl
arXiv preprint arXiv:1806.04313, 2018
372018
The supervised hierarchical Dirichlet process
AM Dai, AJ Storkey
IEEE transactions on pattern analysis and machine intelligence 37 (2), 243-255, 2014
282014
Compound splitting
AM Dai, K Macherey, FJ Och, AC Popat, DR Talbot
US Patent 9,075,792, 2015
272015
The grouped author-topic model for unsupervised entity resolution
AM Dai, AJ Storkey
International Conference on Artificial Neural Networks, 241-249, 2011
252011
Music transformer: Generating music with long-term structure
CZA Huang, A Vaswani, J Uszkoreit, I Simon, C Hawthorne, N Shazeer, ...
232018
Music transformer
CZA Huang, A Vaswani, J Uszkoreit, N Shazeer, I Simon, C Hawthorne, ...
arXiv preprint arXiv:1809.04281, 2018
192018
Wearable sensors for Parkinson’s disease: which data are worth collecting for training symptom detection models
L Lonini, A Dai, N Shawen, T Simuni, C Poon, L Shimanovich, ...
NPJ digital medicine 1 (1), 1-8, 2018
182018
An improved relative self-attention mechanism for transformer with application to music generation
CZA Huang, A Vaswani, J Uszkoreit, N Shazeer, C Hawthorne, AM Dai, ...
arXiv preprint arXiv:1809.04281, 2018
182018
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