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
1972016
Fast and accurate entity recognition with iterated dilated convolutions
E Strubell, P Verga, D Belanger, A McCallum
arXiv preprint arXiv:1702.02098, 2017
1802017
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
1732011
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
1492016
Structured prediction energy networks
D Belanger, A McCallum
International Conference on Machine Learning, 983-992, 2016
1462016
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
1172011
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
952018
End-to-end learning for structured prediction energy networks
D Belanger, B Yang, A McCallum
arXiv preprint arXiv:1703.05667, 2017
872017
Multilingual relation extraction using compositional universal schema
P Verga, D Belanger, E Strubell, B Roth, A McCallum
arXiv preprint arXiv:1511.06396, 2015
832015
Learning latent permutations with gumbel-sinkhorn networks
G Mena, D Belanger, S Linderman, J Snoek
arXiv preprint arXiv:1802.08665, 2018
702018
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
622017
A linear dynamical system model for text
D Belanger, S Kakade
International Conference on Machine Learning, 833-842, 2015
312015
Fast and Accurate Sequence Labeling with Iterated Dilated Convolutions.
E Strubell, P Verga, D Belanger, A McCallum
302017
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
262019
Implicit causal models for genome-wide association studies
D Tran, DM Blei
arXiv preprint arXiv:1710.10742, 2017
252017
Marginal inference in mrfs using frank-wolfe
D Belanger, D Sheldon, A McCallum
NIPS Workshop on Greedy Optimization, Frank-Wolfe and Friends, 2013
222013
Bethe projections for non-local inference
L Vilnis, D Belanger, D Sheldon, A McCallum
arXiv preprint arXiv:1503.01397, 2015
182015
Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches.
B Roth, N Monath, D Belanger, E Strubell, P Verga, A McCallum
TAC, 2015
182015
Learning soft linear constraints with application to citation field extraction
S Anzaroot, A Passos, D Belanger, A McCallum
arXiv preprint arXiv:1403.1349, 2014
162014
Face synthesis from facial identity features
F Cole, D Belanger, D Krishnan, A Sarna, I Mosseri, WT Freeman
arXiv preprint arXiv:1701.04851, 2017
142017
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