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David Belanger
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- affiliation: Google
- affiliation (former): University of Massachusetts, Amherst, Department of Computer Science
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2020 – today
- 2022
- [c26]Theodore P. Papalexopoulos, Christian Tjandraatmadja, Ross Anderson, Juan Pablo Vielma, David Belanger:
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming. ICML 2022: 17295-17322 - 2021
- [c25]Sherry Chao, David Belanger:
Generalizing Few-Shot Classification of Whole-Genome Doubling Across Cancer Types. ICCVW 2021: 3375-3385 - [c24]Krzysztof Marcin Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamás Sarlós, Peter Hawkins, Jared Quincy Davis, Afroz Mohiuddin, Lukasz Kaiser, David Benjamin Belanger, Lucy J. Colwell, Adrian Weller:
Rethinking Attention with Performers. ICLR 2021 - [c23]David Dohan, Andreea Gane, Maxwell L. Bileschi, David Belanger, Lucy J. Colwell:
Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights. KDD 2021: 2782-2791 - [i22]Ye Ouyang, Lilei Wang, Aidong Yang, Le Su, David Belanger, Tongqing Gao, Leping Wei, Yaqin Zhang:
The Next Decade of Telecommunications Artificial Intelligence. CoRR abs/2101.09163 (2021) - 2020
- [j3]Brandon Carter, Maxwell L. Bileschi, Jamie Smith, Theo Sanderson, Drew Bryant, David Belanger, Lucy J. Colwell:
Critiquing Protein Family Classification Models Using Sufficient Input Subsets. J. Comput. Biol. 27(8): 1219-1231 (2020) - [j2]Chen Liu
, William Bill Rouse
Understanding Risks and Opportunities of Autonomous Vehicle Technology Adoption Through Systems Dynamic Scenario Modeling - The American Insurance Industry. IEEE Syst. J. 14(1): 1365-1374 (2020) - [c22]Christof Angermüller, David Dohan, David Belanger, Ramya Deshpande, Kevin Murphy, Lucy J. Colwell:
Model-based reinforcement learning for biological sequence design. ICLR 2020 - [c21]Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley:
Population-Based Black-Box Optimization for Biological Sequence Design. ICML 2020: 324-334 - [i21]Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley:
Population-Based Black-Box Optimization for Biological Sequence Design. CoRR abs/2006.03227 (2020) - [i20]Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Jared Davis, Tamás Sarlós, David Belanger, Lucy J. Colwell, Adrian Weller:
Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers. CoRR abs/2006.03555 (2020) - [i19]Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamás Sarlós, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy J. Colwell, Adrian Weller:
Rethinking Attention with Performers. CoRR abs/2009.14794 (2020) - [i18]Amir Shanehsazzadeh, David Belanger, David Dohan:
Fixed-Length Protein Embeddings using Contextual Lenses. CoRR abs/2010.15065 (2020) - [i17]Amir Shanehsazzadeh, David Belanger, David Dohan:
Is Transfer Learning Necessary for Protein Landscape Prediction? CoRR abs/2011.03443 (2020)
2010 – 2019
- 2019
- [c20]Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman:
Boundless: Generative Adversarial Networks for Image Extension. ICCV 2019: 10520-10529 - [i16]Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman:
Boundless: Generative Adversarial Networks for Image Extension. CoRR abs/1908.07007 (2019) - 2018
- [c19]Gonzalo E. Mena, David Belanger, Scott W. Linderman, Jasper Snoek:
Learning Latent Permutations with Gumbel-Sinkhorn Networks. ICLR (Poster) 2018 - [i15]Gonzalo E. Mena, David Belanger, Scott W. Linderman, Jasper Snoek:
Learning Latent Permutations with Gumbel-Sinkhorn Networks. CoRR abs/1802.08665 (2018) - 2017
- [j1]Harvey Freeman, David Belanger:
Communications, ComSoc, and Big Data: What and What Next? IEEE Commun. Mag. 55(2): 4-5 (2017) - [c18]Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, William T. Freeman:
Synthesizing Normalized Faces from Facial Identity Features. CVPR 2017: 3386-3395 - [c17]Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum:
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. EACL (1) 2017: 132-141 - [c16]Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum:
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions. EMNLP 2017: 2670-2680 - [c15]David Belanger, Bishan Yang, Andrew McCallum:
End-to-End Learning for Structured Prediction Energy Networks. ICML 2017: 429-439 - [i14]Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna
Face Synthesis from Facial Identity Features. CoRR abs/1701.04851 (2017) - [i13]Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum:
Fast and Accurate Sequence Labeling with Iterated Dilated Convolutions. CoRR abs/1702.02098 (2017) - [i12]David Belanger, Bishan Yang, Andrew McCallum:
End-to-End Learning for Structured Prediction Energy Networks. CoRR abs/1703.05667 (2017) - [i11]Dung Thai, Shikhar Murty, Trapit Bansal, Luke Vilnis, David Belanger, Andrew McCallum:
Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling. CoRR abs/1708.00553 (2017) - 2016
- [c14]Kui Tang, Nicholas Ruozzi
Bethe Learning of Graphical Models via MAP Decoding. AISTATS 2016: 1096-1104 - [c13]Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum:
Incorporating Selectional Preferences in Multi-hop Relation Extraction. AKBC@NAACL-HLT 2016: 18-23 - [c12]David Belanger, Andrew McCallum:
Structured Prediction Energy Networks. ICML 2016: 983-992 - [c11]Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum:
Multilingual Relation Extraction using Compositional Universal Schema. HLT-NAACL 2016: 886-896 - [c10]Trapit Bansal, David Belanger, Andrew McCallum:
Ask the GRU: Multi-task Learning for Deep Text Recommendations. RecSys 2016: 107-114 - [i10]Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum:
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. CoRR abs/1607.01426 (2016) - [i9]Trapit Bansal, David Belanger, Andrew McCallum:
Ask the GRU: Multi-Task Learning for Deep Text Recommendations. CoRR abs/1609.02116 (2016) - 2015
- [c9]David Belanger, Sham M. Kakade:
A Linear Dynamical System Model for Text. ICML 2015: 833-842 - [c8]Luke Vilnis, David Belanger, Daniel Sheldon, Andrew McCallum:
Bethe Projections for Non-Local Inference. UAI 2015: 892-901 - [i8]Benjamin Roth, Nicholas Monath, David Belanger, Emma Strubell, Patrick Verga, Andrew McCallum:
Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches. TAC 2015 - [i7]David Belanger, Sham M. Kakade:
A Linear Dynamical System Model for Text. CoRR abs/1502.04081 (2015) - [i6]Kui Tang, Nicholas Ruozzi, David Belanger, Tony Jebara:
Bethe Learning of Conditional Random Fields via MAP Decoding. CoRR abs/1503.01228 (2015) - [i5]Luke Vilnis, David Belanger, Daniel Sheldon, Andrew McCallum:
Bethe Projections for Non-Local Inference. CoRR abs/1503.01397 (2015) - [i4]David Belanger, Andrew McCallum:
Structured Prediction Energy Networks. CoRR abs/1511.06350 (2015) - [i3]Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum:
Multilingual Relation Extraction using Compositional Universal Schema. CoRR abs/1511.06396 (2015) - 2014
- [c7]Sam Anzaroot, Alexandre Passos, David Belanger, Andrew McCallum:
Learning Soft Linear Constraints with Application to Citation Field Extraction. ACL (1) 2014: 593-602 - [c6]Huaigu Cao, Prem Natarajan
Progress in the Raytheon BBN Arabic Offline Handwriting Recognition System. ICFHR 2014: 555-560 - [c5]David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum:
Message Passing for Soft Constraint Dual Decomposition. UAI 2014: 62-71 - [i2]Sam Anzaroot, Alexandre Passos, David Belanger, Andrew McCallum:
Learning Soft Linear Constraints with Application to Citation Field Extraction. CoRR abs/1403.1349 (2014) - 2013
- [i1]Sameer Singh, Limin Yao, David Belanger, Ari Kobren, Sam Anzaroot, Mike Wick, Alexandre Passos, Harshal Pandya, Jinho D. Choi, Brian Martin, Andrew McCallum:
Universal Schema for Slot Filling and Cold Start: UMass IESL at TACKBP 2013. TAC 2013 - 2012
- [c4]David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum:
MAP Inference in Chains using Column Generation. NIPS 2012: 1853-1861 - 2011
- [c3]Pradeep Natarajan, David Belanger, Rohit Prasad, Matin Kamali, Krishna Subramanian, Prem Natarajan
Baseline Dependent Percentile Features for Offline Arabic Handwriting Recognition. ICDAR 2011: 329-333 - 2010
- [c2]Rohit Prasad, Matin Kamali, David Belanger, Antti-Veikko I. Rosti, Spyros Matsoukas, Prem Natarajan
Consensus Network Based Hypotheses Combination for Arabic Offline Handwriting Recognition. ICPR 2010: 2861-2864
1990 – 1999
- 1999
- [c1]David Belanger, Kenneth Ward Church, Andrew Hume:
Virtual Data Warehousing, Data Publishing, and Call Detail. Databases in Telecommunications 1999: 106-117
Coauthor Index
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