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Latent Programmer: Discrete Latent Codes for Program Synthesis


Dec 01, 2020
Joey Hong, David Dohan, Rishabh Singh, Charles Sutton, Manzil Zaheer

* 15 pages, 9 figures 

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Is Transfer Learning Necessary for Protein Landscape Prediction?


Oct 31, 2020
Amir Shanehsazzadeh, David Belanger, David Dohan


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Fixed-Length Protein Embeddings using Contextual Lenses


Oct 15, 2020
Amir Shanehsazzadeh, David Belanger, David Dohan


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Rethinking Attention with Performers


Sep 30, 2020
Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy Colwell, Adrian Weller

* 36 pages. This is an updated version of a previous submission which can be found at arXiv:2006.03555. See https://github.com/google-research/google-research/tree/master/protein_lm for protein language model code, and https://github.com/google-research/google-research/tree/master/performer for Performer code 

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Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers


Jun 05, 2020
Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Jared Davis, Tamas Sarlos, David Belanger, Lucy Colwell, Adrian Weller

* 14 pages, 11 figures 

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Population-Based Black-Box Optimization for Biological Sequence Design


Jun 05, 2020
Christof Angermueller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy Colwell, D Sculley


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QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension


Apr 23, 2018
Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, Quoc V. Le

* Published as full paper in ICLR 2018 

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Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks


Aug 23, 2017
Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan

* Final CVPR 2017 paper and supplementary material 

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