David Belanger

42 papers A* 10A 3Journal 20Unranked 9

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	Constrained Discrete Black-Box Optimization using Mixed-Integer Programming. ICML Theodore P. Papalexopoulos, Christian Tjandraatmadja, Ross Anderson, Juan Pablo Vielma, David Belanger
2021	—	`conf`	Generalizing Few-Shot Classification of Whole-Genome Doubling Across Cancer Types. ICCVW Sherry Chao, David Belanger
2021	A*	`conf`	Improving Protein Function Annotation via Unsupervised Pre-training: Robustness, Efficiency, and Insights. KDD David Dohan, Andreea Gane, Maxwell L. Bileschi, David Belanger, Lucy J. Colwell
2020	J	`jnl`	Critiquing Protein Family Classification Models Using Sufficient Input Subsets. J. Comput. Biol. Brandon Carter, Maxwell L. Bileschi, Jamie Smith, Theo Sanderson, Drew Bryant, David Belanger, Lucy J. Colwell
2020	J	`jnl`	Fixed-Length Protein Embeddings using Contextual Lenses. CoRR Amir Shanehsazzadeh, David Belanger, David Dohan
2020	J	`jnl`	Is Transfer Learning Necessary for Protein Landscape Prediction? CoRR Amir Shanehsazzadeh, David Belanger, David Dohan
2020	J	`jnl`	Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers. CoRR Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Jared Davis, Tamás Sarlós, David Belanger, Lucy J. Colwell, Adrian Weller
2020	A*	`conf`	Model-based reinforcement learning for biological sequence design. ICLR Christof Angermüller, David Dohan, David Belanger, Ramya Deshpande, Kevin Murphy, Lucy J. Colwell
2020	A*	`conf`	Population-Based Black-Box Optimization for Biological Sequence Design. ICML Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley
2020	J	`jnl`	Population-Based Black-Box Optimization for Biological Sequence Design. CoRR Christof Angermüller, David Belanger, Andreea Gane, Zelda Mariet, David Dohan, Kevin Murphy, Lucy J. Colwell, D. Sculley
2020	J	`jnl`	Rethinking Attention with Performers. CoRR 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
2019	A*	`conf`	Boundless: Generative Adversarial Networks for Image Extension. ICCV Dilip Krishnan, Piotr Teterwak, Aaron Sarna, Aaron Maschinot, Ce Liu, David Belanger, William T. Freeman
2019	J	`jnl`	Boundless: Generative Adversarial Networks for Image Extension. CoRR Piotr Teterwak, Aaron Sarna, Dilip Krishnan, Aaron Maschinot, David Belanger, Ce Liu, William T. Freeman
2018	—	`conf`	Learning Latent Permutations with Gumbel-Sinkhorn Networks. ICLR (Poster) Gonzalo E. Mena, David Belanger, Scott W. Linderman, Jasper Snoek
2018	J	`jnl`	Learning Latent Permutations with Gumbel-Sinkhorn Networks. CoRR Gonzalo E. Mena, David Belanger, Scott W. Linderman, Jasper Snoek
2017	—	`conf`	Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. EACL (1) Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum
2017	A*	`conf`	End-to-End Learning for Structured Prediction Energy Networks. ICML David Belanger, Bishan Yang, Andrew McCallum
2017	J	`jnl`	End-to-End Learning for Structured Prediction Energy Networks. CoRR David Belanger, Bishan Yang, Andrew McCallum
2017	J	`jnl`	Face Synthesis from Facial Identity Features. CoRR Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, William T. Freeman
2017	A*	`conf`	Fast and Accurate Entity Recognition with Iterated Dilated Convolutions. EMNLP Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum
2017	J	`jnl`	Fast and Accurate Sequence Labeling with Iterated Dilated Convolutions. CoRR Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum
2017	J	`jnl`	Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling. CoRR Dung Thai, Shikhar Murty, Trapit Bansal, Luke Vilnis, David Belanger, Andrew McCallum
2017	A*	`conf`	Synthesizing Normalized Faces from Facial Identity Features. CVPR Forrester Cole, David Belanger, Dilip Krishnan, Aaron Sarna, Inbar Mosseri, William T. Freeman
2016	J	`jnl`	Ask the GRU: Multi-Task Learning for Deep Text Recommendations. CoRR Trapit Bansal, David Belanger, Andrew McCallum
2016	A	`conf`	Bethe Learning of Graphical Models via MAP Decoding. AISTATS Kui Tang, Nicholas Ruozzi, David Belanger, Tony Jebara
2016	J	`jnl`	Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks. CoRR Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum
2016	—	`conf`	Incorporating Selectional Preferences in Multi-hop Relation Extraction. AKBC@NAACL-HLT Rajarshi Das, Arvind Neelakantan, David Belanger, Andrew McCallum
2016	—	`conf`	Multilingual Relation Extraction using Compositional Universal Schema. HLT-NAACL Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum
2016	A*	`conf`	Structured Prediction Energy Networks. ICML David Belanger, Andrew McCallum
2015	A*	`conf`	A Linear Dynamical System Model for Text. ICML David Belanger, Sham M. Kakade
2015	J	`jnl`	A Linear Dynamical System Model for Text. CoRR David Belanger, Sham M. Kakade
2015	J	`jnl`	Bethe Learning of Conditional Random Fields via MAP Decoding. CoRR Kui Tang, Nicholas Ruozzi, David Belanger, Tony Jebara
2015	A	`conf`	Bethe Projections for Non-Local Inference. UAI Luke Vilnis, David Belanger, Daniel Sheldon, Andrew McCallum
2015	J	`jnl`	Bethe Projections for Non-Local Inference. CoRR Luke Vilnis, David Belanger, Daniel Sheldon, Andrew McCallum
2015	—	`conf`	Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches. TAC Benjamin Roth, Nicholas Monath, David Belanger, Emma Strubell, Patrick Verga, Andrew McCallum
2015	J	`jnl`	Multilingual Relation Extraction using Compositional Universal Schema. CoRR Patrick Verga, David Belanger, Emma Strubell, Benjamin Roth, Andrew McCallum
2015	J	`jnl`	Structured Prediction Energy Networks. CoRR David Belanger, Andrew McCallum
2014	—	`conf`	Learning Soft Linear Constraints with Application to Citation Field Extraction. ACL (1) Sam Anzaroot, Alexandre Passos, David Belanger, Andrew McCallum
2014	J	`jnl`	Learning Soft Linear Constraints with Application to Citation Field Extraction. CoRR Sam Anzaroot, Alexandre Passos, David Belanger, Andrew McCallum
2014	A	`conf`	Message Passing for Soft Constraint Dual Decomposition. UAI David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum
2013	—	`conf`	Universal Schema for Slot Filling and Cold Start: UMass IESL at TACKBP 2013. TAC Sameer Singh, Limin Yao, David Belanger, Ari Kobren, Sam Anzaroot, Mike Wick, Alexandre Passos, Harshal Pandya, Jinho D. Choi, Brian Martin, Andrew McCallum
2012	—	`conf`	MAP Inference in Chains using Column Generation. NIPS David Belanger, Alexandre Passos, Sebastian Riedel, Andrew McCallum