David Belanger
David Belanger
Research Scientist, Google Brain
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
Ask the GRU Multi-task Learning for Deep Text Recommendations
T Bansal, D Belanger, A McCallum
proceedings of the 10th ACM Conference on Recommender Systems, 107-114, 2016
2592016
Fast and accurate entity recognition with iterated dilated convolutions
E Strubell, P Verga, D Belanger, A McCallum
arXiv preprint arXiv:1702.02098, 2017
2532017
Chains of reasoning over entities, relations, and text using recurrent neural networks
R Das, A Neelakantan, D Belanger, A McCallum
arXiv preprint arXiv:1607.01426, 2016
1922016
Earthquake ruptures with strongly rate-weakening friction and off-fault plasticity, Part 2: Nonplanar faults
EM Dunham, D Belanger, L Cong, JE Kozdon
Bulletin of the Seismological Society of America 101 (5), 2308-2322, 2011
1872011
Structured prediction energy networks
D Belanger, A McCallum
International Conference on Machine Learning, 983-992, 2016
1722016
Sequential regulatory activity prediction across chromosomes with convolutional neural networks
DR Kelley, YA Reshef, M Bileschi, D Belanger, CY McLean, J Snoek
Genome research 28 (5), 739-750, 2018
1562018
Rethinking attention with performers
K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ...
arXiv preprint arXiv:2009.14794, 2020
1552020
Earthquake ruptures with strongly rate-weakening friction and off-fault plasticity, Part 1: Planar faults
EM Dunham, D Belanger, L Cong, JE Kozdon
Bulletin of the Seismological Society of America 101 (5), 2296-2307, 2011
1332011
Learning latent permutations with gumbel-sinkhorn networks
G Mena, D Belanger, S Linderman, J Snoek
arXiv preprint arXiv:1802.08665, 2018
1052018
End-to-end learning for structured prediction energy networks
D Belanger, B Yang, A McCallum
International Conference on Machine Learning, 429-439, 2017
1032017
Synthesizing normalized faces from facial identity features
F Cole, D Belanger, D Krishnan, A Sarna, I Mosseri, WT Freeman
Proceedings of the IEEE conference on computer vision and pattern …, 2017
972017
Multilingual relation extraction using compositional universal schema
P Verga, D Belanger, E Strubell, B Roth, A McCallum
arXiv preprint arXiv:1511.06396, 2015
952015
Rapid prediction of electron–ionization mass spectrometry using neural networks
JN Wei, D Belanger, RP Adams, D Sculley
ACS central science 5 (4), 700-708, 2019
442019
Fast and Accurate Sequence Labeling with Iterated Dilated Convolutions.
E Strubell, P Verga, D Belanger, A McCallum
372017
Implicit causal models for genome-wide association studies
D Tran, DM Blei
arXiv preprint arXiv:1710.10742, 2017
342017
A linear dynamical system model for text
D Belanger, S Kakade
International Conference on Machine Learning, 833-842, 2015
342015
Using deep learning to annotate the protein universe
ML Bileschi, D Belanger, D Bryant, T Sanderson, B Carter, D Sculley, ...
BioRxiv, 626507, 2019
322019
Model-based reinforcement learning for biological sequence design
C Angermueller, D Dohan, D Belanger, R Deshpande, K Murphy, ...
International conference on learning representations, 2019
292019
Boundless: Generative adversarial networks for image extension
P Teterwak, A Sarna, D Krishnan, A Maschinot, D Belanger, C Liu, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
282019
Marginal inference in mrfs using frank-wolfe
D Belanger, D Sheldon, A McCallum
NIPS Workshop on Greedy Optimization, Frank-Wolfe and Friends, 2013
242013
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