Andrew Dai
Cited by
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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
Semi-supervised sequence learning
AM Dai, QV Le
arXiv preprint arXiv:1511.01432, 2015
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), 1-10, 2018
D Ha, A Dai, QV Le
Proceedings of the International Conference on Learning Representations, 2017
Adversarial Training Methods for Semi-Supervised Text Classification
T Miyato, AM Dai, I Goodfellow
Proceedings of the International Conference on Learning Representations, 2017
Document embedding with paragraph vectors
AM Dai, C Olah, QV Le
NIPS 2014 Deep learning workshop, 2015
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
Maskgan: better text generation via filling in the_
W Fedus, I Goodfellow, AM Dai
arXiv preprint arXiv:1801.07736, 2018
Music transformer
CZA Huang, A Vaswani, J Uszkoreit, N Shazeer, I Simon, C Hawthorne, ...
arXiv preprint arXiv:1809.04281, 2018
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
Learning longer-term dependencies in rnns with auxiliary losses
T Trinh, A Dai, T Luong, Q Le
International Conference on Machine Learning, 4965-4974, 2018
Who said what: Modeling individual labelers improves classification
M Guan, V Gulshan, A Dai, G Hinton
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Embedding text in hyperbolic spaces
B Dhingra, CJ Shallue, M Norouzi, AM Dai, GE Dahl
arXiv preprint arXiv:1806.04313, 2018
Language-independent compound splitting with morphological operations
K Macherey, AM Dai, D Talbot, AC Popat, F Och
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
Gmail smart compose: Real-time assisted writing
MX Chen, BN Lee, G Bansal, Y Cao, S Zhang, J Lu, J Tsay, Y Wang, ...
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
The supervised hierarchical Dirichlet process
AM Dai, AJ Storkey
IEEE transactions on pattern analysis and machine intelligence 37 (2), 243-255, 2014
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 2, 2018
Compound splitting
AM Dai, K Macherey, FJ Och, AC Popat, DR Talbot
US Patent 9,075,792, 2015
Airdialogue: An environment for goal-oriented dialogue research
W Wei, Q Le, A Dai, J Li
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
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