David Belanger
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
15
Active years
2010–2022
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ICML | Constrained Discrete Black-Box Optimization using Mixed-Integer Programming. | Theodore P. Papalexopoulos, Christian Tjandraatmadja, Ross Anderson, Juan Pablo Vielma, David Belanger |
| 2021 | KDD | Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights. | David Dohan, Andreea Gane, Maxwell L. Bileschi, David Belanger, Lucy J. Colwell |
| 2020 | ICLR | Model-based reinforcement learning for biological sequence design. | Christof Angermller, David Dohan, David Belanger, Ramya Deshpande, Kevin Murphy, Lucy J. Colwell |
| 2020 | ICML | Population-Based Black-Box Optimization for Biological Sequence Design. | Christof Angermller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley |
| 2019 | ICCV | Boundless: Generative Adversarial Networks for Image Extension. | Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman |
| 2018 | ICLR | Learning Latent Permutations with Gumbel-Sinkhorn Networks. | Gonzalo E. Mena, David Belanger, Scott W. Linderman, Jasper Snoek |
| 2017 | CVPR | Synthesizing Normalized Faces from Facial Identity Features. | Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, William T. Freeman |
| 2017 | EACL | Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. | Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum |
| 2017 | EMNLP | Fast and Accurate Entity Recognition with Iterated Dilated Convolutions. | Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum |
| 2017 | ICML | End-to-End Learning for Structured Prediction Energy Networks. | David Belanger, Bishan Yang, Andrew McCallum |
| 2016 | AISTATS | Bethe Learning of Graphical Models via MAP Decoding. | Kui Tang, Nicholas Ruozzi, David Belanger, Tony Jebara |
| 2016 | ICML | Structured Prediction Energy Networks. | David Belanger, Andrew McCallum |
| 2016 | NAACL | Multilingual Relation Extraction using Compositional Universal Schema. | Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum |
| 2016 | RecSys | Untitled record | Trapit Bansal, David Belanger, Andrew McCallum |
| 2015 | ICML | A Linear Dynamical System Model for Text. | David Belanger, Sham M. Kakade |
| 2015 | UAI | Bethe Projections for Non-Local Inference. | Luke Vilnis, David Belanger, Daniel Sheldon, Andrew McCallum |
| 2014 | ACL | Learning Soft Linear Constraints with Application to Citation Field Extraction. | Sam Anzaroot, Alexandre Passos, David Belanger, Andrew McCallum |
| 2014 | ICFHR | Progress in the Raytheon BBN Arabic Offline Handwriting Recognition System. | Huaigu Cao, Prem Natarajan, Xujun Peng, Krishna Subramanian, David Belanger, Nan Li |
| 2014 | UAI | Message Passing for Soft Constraint Dual Decomposition. | David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum |
| 2011 | ICDAR | Baseline Dependent Percentile Features for Offline Arabic Handwriting Recognition. | Pradeep Natarajan, David Belanger, Rohit Prasad, Matin Kamali, Krishna Subramanian, Prem Natarajan |
| 2010 | ICPR | Consensus Network Based Hypotheses Combination for Arabic Offline Handwriting Recognition. | Rohit Prasad, Matin Kamali, David Belanger, Antti-Veikko I. Rosti, Spyros Matsoukas, Prem Natarajan |