David Dohan
David Dohan
Google Brain
Verifierad e-postadress på google.com
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Unsupervised pixel-level domain adaptation with generative adversarial networks
K Bousmalis, N Silberman, D Dohan, D Erhan, D Krishnan
Proceedings of the IEEE conference on computer vision and pattern …, 2017
15732017
Qanet: Combining local convolution with global self-attention for reading comprehension
AW Yu, D Dohan, MT Luong, R Zhao, K Chen, M Norouzi, QV Le
arXiv preprint arXiv:1804.09541, 2018
729*2018
Rethinking attention with performers
K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ...
arXiv preprint arXiv:2009.14794, 2020
1832020
Learning hierarchical semantic segmentations of LIDAR data
D Dohan, B Matejek, T Funkhouser
2015 International Conference on 3D Vision, 273-281, 2015
412015
Model-based reinforcement learning for biological sequence design
C Angermueller, D Dohan, D Belanger, R Deshpande, K Murphy, ...
International conference on learning representations, 2019
312019
Masked language modeling for proteins via linearly scalable long-context transformers
K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ...
arXiv preprint arXiv:2006.03555, 2020
242020
Population-based black-box optimization for biological sequence design
C Angermueller, D Belanger, A Gane, Z Mariet, D Dohan, K Murphy, ...
International Conference on Machine Learning, 324-334, 2020
172020
Program synthesis with large language models
J Austin, A Odena, M Nye, M Bosma, H Michalewski, D Dohan, E Jiang, ...
arXiv preprint arXiv:2108.07732, 2021
102021
K-median algorithms: theory in practice
D Dohan, S Karp, B Matejek
Working paper, Princeton, Computer Science, 2015
92015
Is transfer learning necessary for protein landscape prediction?
A Shanehsazzadeh, D Belanger, D Dohan
arXiv preprint arXiv:2011.03443, 2020
82020
Amortized bayesian optimization over discrete spaces
K Swersky, Y Rubanova, D Dohan, K Murphy
Conference on Uncertainty in Artificial Intelligence, 769-778, 2020
52020
Exploring neural architecture search for language tasks
MT Luong, D Dohan, AW Yu, QV Le, B Zoph, V Vasudevan
42018
Transforming source domain images into target domain images
K Bousmalis, N Silberman, DM Dohan, D Erhan, D Krishnan
US Patent 10,991,074, 2021
32021
Biological Sequences Design using Batched Bayesian Optimization
D Belanger, S Vora, Z Mariet, R Deshpande, D Dohan, C Angermueller, ...
32019
Unsupervised pixel-level domain adaptation with generative adversarial networks. CoRR
K Bousmalis, N Silberman, D Dohan, D Erhan, D Krishnan
arXiv preprint arXiv:1612.05424, 2016
32016
Latent Programmer: Discrete Latent Codes for Program Synthesis
J Hong, D Dohan, R Singh, C Sutton, M Zaheer
International Conference on Machine Learning, 4308-4318, 2021
22021
Improving protein function annotation via unsupervised pre-training: Robustness, efficiency, and insights
D Dohan, A Gane, ML Bileschi, D Belanger, L Colwell
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021
12021
Computationally efficient neural network architecture search
DM Dohan, DR So, C Liang, QV Le
US Patent 10,997,503, 2021
12021
A Comparison of Generative Models for Sequence Design
A Gane, D Belanger, D Dohan, C Angermueller, R Deshpande, S Vora, ...
12019
Evolving modular neural sequence architectures with genetic programming
D Dohan, D So, Q Le
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
12018
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Artiklar 1–20