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David Belanger

AT&T Inc, Stevens Institute of Technology

The Next Decade of Telecommunications Artificial Intelligence


Feb 22, 2021
Ye Ouyang, Lilei Wang, Aidong Yang, Le Su, David Belanger, Tongqing Gao, Leping Wei, Yaqin Zhang

* 20 pages, in Chinese, 31 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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Boundless: Generative Adversarial Networks for Image Extension


Aug 19, 2019
Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman


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Predicting Electron-Ionization Mass Spectrometry using Neural Networks


Nov 21, 2018
Jennifer N. Wei, David Belanger, Ryan P. Adams, D. Sculley

* 12 pages, 5 figures, accepted to Machine Learning for Molecules and Materials Workshop at NeurIPS 2018 

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Learning Latent Permutations with Gumbel-Sinkhorn Networks


Feb 23, 2018
Gonzalo Mena, David Belanger, Scott Linderman, Jasper Snoek

* ICLR 2018 

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Synthesizing Normalized Faces from Facial Identity Features


Oct 17, 2017
Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, William T. Freeman


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Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling


Aug 02, 2017
Dung Thai, Shikhar Murty, Trapit Bansal, Luke Vilnis, David Belanger, Andrew McCallum

* 4 pages, ICML 2017 DeepStruct Workshop 

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Fast and Accurate Entity Recognition with Iterated Dilated Convolutions


Jul 22, 2017
Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum

* In Conference on Empirical Methods in Natural Language Processing (EMNLP). Copenhagen, Denmark. September 2017 

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End-to-End Learning for Structured Prediction Energy Networks


Jul 15, 2017
David Belanger, Bishan Yang, Andrew McCallum

* ICML 2017 

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Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks


May 01, 2017
Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum

* accepted to EACL 2017 (fixed latex formatting in previous version) 

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Bethe Projections for Non-Local Inference


Nov 28, 2016
Luke Vilnis, David Belanger, Daniel Sheldon, Andrew McCallum

* minor bug fix to appendix. appeared in UAI 2015 

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Ask the GRU: Multi-Task Learning for Deep Text Recommendations


Sep 09, 2016
Trapit Bansal, David Belanger, Andrew McCallum

* 8 pages 

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Structured Prediction Energy Networks


Jun 23, 2016
David Belanger, Andrew McCallum

* ICML 2016 

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Multilingual Relation Extraction using Compositional Universal Schema


Mar 03, 2016
Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum

* Accepted to NAACL 2016 

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A Linear Dynamical System Model for Text


May 31, 2015
David Belanger, Sham Kakade

* Accepted at International Conference of Machine Learning 2015 

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Bethe Learning of Conditional Random Fields via MAP Decoding


Mar 04, 2015
Kui Tang, Nicholas Ruozzi, David Belanger, Tony Jebara

* 19 pages (9 supplementary), 10 figures (3 supplementary) 

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Learning Soft Linear Constraints with Application to Citation Field Extraction


Oct 17, 2014
Sam Anzaroot, Alexandre Passos, David Belanger, Andrew McCallum

* appears in Proc. the 52nd Annual Meeting of the Association for Computational Linguistics (ACL2014) 

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