David Belanger

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Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Pat VergaResearch Scientist GoogleVerified email at google.com
Emma StrubellAssistant Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Jasper SnoekGoogle BrainVerified email at google.com
Eric M. DunhamAssociate Professor of Geophysics, Stanford UniversityVerified email at stanford.edu
William T. FreemanProfessor of Computer Science, MITVerified email at mit.edu
Jeremy E KozdonAssociate Professor, Department of Applied Mathematics, Naval Postgraduate SchoolVerified email at nps.edu
Lin William CongRudd Family Professor of Management & Associate Professor of Finance, Cornell UniversityVerified email at cornell.edu
Dilip KrishnanSenior Research Scientist, GoogleVerified email at google.com
Trapit BansalUniversity of Massachusetts AmherstVerified email at cs.umass.edu
Aaron SarnaSenior Software Engineer, GoogleVerified email at google.com
Rajarshi DasPh.D. Student UMass, AmherstVerified email at cs.umass.edu
Arvind NeelakantanOpenAIVerified email at openai.com
Gonzalo MenaUniversity of OxfordVerified email at columbia.edu
Forrester ColeGoogleVerified email at google.com
Scott LindermanStanford UniversityVerified email at stanford.edu
Inbar MosseriGoogle ResearchVerified email at google.com
Alexandre PassosGoogle researchVerified email at cs.umass.edu
Benjamin RothUniversity of ViennaVerified email at univie.ac.at
Yakir ReshefVerified email at mit.edu

David Belanger

Research Scientist, Google Brain

Verified email at google.com - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by 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	231	2016
Fast and accurate entity recognition with iterated dilated convolutions E Strubell, P Verga, D Belanger, A McCallum arXiv preprint arXiv:1702.02098, 2017	217	2017
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	179	2011
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	172	2016
Structured prediction energy networks D Belanger, A McCallum International Conference on Machine Learning, 983-992, 2016	154	2016
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	130	2018
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	127	2011
End-to-end learning for structured prediction energy networks D Belanger, B Yang, A McCallum International Conference on Machine Learning, 429-439, 2017	93	2017
Learning latent permutations with gumbel-sinkhorn networks G Mena, D Belanger, S Linderman, J Snoek arXiv preprint arXiv:1802.08665, 2018	87	2018
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	86	2017
Multilingual relation extraction using compositional universal schema P Verga, D Belanger, E Strubell, B Roth, A McCallum arXiv preprint arXiv:1511.06396, 2015	86	2015
Rethinking attention with performers K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ... arXiv preprint arXiv:2009.14794, 2020	49	2020
Fast and Accurate Sequence Labeling with Iterated Dilated Convolutions. E Strubell, P Verga, D Belanger, A McCallum	34	2017
A linear dynamical system model for text D Belanger, S Kakade International Conference on Machine Learning, 833-842, 2015	33	2015
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	32	2019
Implicit causal models for genome-wide association studies D Tran, DM Blei arXiv preprint arXiv:1710.10742, 2017	30	2017
Marginal inference in mrfs using frank-wolfe D Belanger, D Sheldon, A McCallum NIPS Workshop on Greedy Optimization, Frank-Wolfe and Friends, 2013	24	2013
Model-based reinforcement learning for biological sequence design C Angermueller, D Dohan, D Belanger, R Deshpande, K Murphy, ... International Conference on Learning Representations, 2019	22	2019
Using deep learning to annotate the protein universe ML Bileschi, D Belanger, D Bryant, T Sanderson, B Carter, D Sculley, ... bioRxiv, 626507, 2019	21	2019
Bethe projections for non-local inference L Vilnis, D Belanger, D Sheldon, A McCallum arXiv preprint arXiv:1503.01397, 2015	21	2015

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