David Belanger

Affiliations:
  • Google
  • University of Massachusetts, Amherst, Department of Computer Science (former)


According to our database1, David Belanger authored at least 40 papers between 1999 and 2022.

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Bibliography

2022
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming.
Proceedings of the International Conference on Machine Learning, 2022

2021
The Next Decade of Telecommunications Artificial Intelligence.
CoRR, 2021

Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Rethinking Attention with Performers.
Proceedings of the 9th International Conference on Learning Representations, 2021

Generalizing Few-Shot Classification of Whole-Genome Doubling Across Cancer Types.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Understanding Risks and Opportunities of Autonomous Vehicle Technology Adoption Through Systems Dynamic Scenario Modeling - The American Insurance Industry.
IEEE Syst. J., 2020

Critiquing Protein Family Classification Models Using Sufficient Input Subsets.
J. Comput. Biol., 2020

Is Transfer Learning Necessary for Protein Landscape Prediction?
CoRR, 2020

Fixed-Length Protein Embeddings using Contextual Lenses.
CoRR, 2020

Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers.
CoRR, 2020

Population-Based Black-Box Optimization for Biological Sequence Design.
Proceedings of the 37th International Conference on Machine Learning, 2020

Model-based reinforcement learning for biological sequence design.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Boundless: Generative Adversarial Networks for Image Extension.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling.
CoRR, 2017

Fast and Accurate Sequence Labeling with Iterated Dilated Convolutions.
CoRR, 2017

Face Synthesis from Facial Identity Features.
CoRR, 2017

Communications, ComSoc, and Big Data: What and What Next?
IEEE Commun. Mag., 2017

End-to-End Learning for Structured Prediction Energy Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Fast and Accurate Entity Recognition with Iterated Dilated Convolutions.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Synthesizing Normalized Faces from Facial Identity Features.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Ask the GRU: Multi-Task Learning for Deep Text Recommendations.
CoRR, 2016

<i>Ask the GRU</i>: Multi-task Learning for Deep Text Recommendations.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Multilingual Relation Extraction using Compositional Universal Schema.
Proceedings of the NAACL HLT 2016, 2016

Structured Prediction Energy Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Incorporating Selectional Preferences in Multi-hop Relation Extraction.
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

Bethe Learning of Graphical Models via MAP Decoding.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Bethe Learning of Conditional Random Fields via MAP Decoding.
CoRR, 2015

Bethe Projections for Non-Local Inference.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches.
Proceedings of the 2015 Text Analysis Conference, 2015

A Linear Dynamical System Model for Text.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Message Passing for Soft Constraint Dual Decomposition.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Progress in the Raytheon BBN Arabic Offline Handwriting Recognition System.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014

Learning Soft Linear Constraints with Application to Citation Field Extraction.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Universal Schema for Slot Filling and Cold Start: UMass IESL at TACKBP 2013.
Proceedings of the Sixth Text Analysis Conference, 2013

2012
MAP Inference in Chains using Column Generation.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Baseline Dependent Percentile Features for Offline Arabic Handwriting Recognition.
Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

2010
Consensus Network Based Hypotheses Combination for Arabic Offline Handwriting Recognition.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

1999
Virtual Data Warehousing, Data Publishing, and Call Detail.
Proceedings of the Databases in Telecommunications, 1999


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