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David Belanger

15 papers · 2012–2022 · 10 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (31) πŸƒ Academic Marathon (10) 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🌟 Keyword Trendsetter Combo (4) πŸ† Keyword Champion 🌱 Topic Pioneer πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter πŸ’Ž Century Club (15) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (71)

Conferences

ICML (5) ICLR (2) ACL (1) AISTATS (1) CVPR (1) EACL (1) EMNLP (1) ICCV (1) NAACL (1) NIPS (1)

Top co-authors

Andrew McCallum (7) Christof Angermueller (2) Patrick Verga (2) Kevin Murphy (2) Dilip Krishnan (2) David Dohan (2) Aaron Sarna (2) Lucy Colwell (2) Alexandre Passos (2) Emma Strubell (2)

Keywords

structured prediction (4) recurrent neural network (2) energy network (2) graphical model (2) sequence labeling (1) belief propagation (1) non-convex optimization (1) kalman filtering (1) gradient-based optimization (1) logical reasoning (1) relation extraction (1) named entity recognition (1) multi-label classification (1) image editing (1) knowledge base (1) hyperparameter optimization (1) part-of-speech tagging (1) image denoising (1) neural architecture search (1) probabilistic inference (1)

Papers

Constrained Discrete Black-Box Optimization using Mixed-Integer Programming ICML 2022
Population-Based Black-Box Optimization for Biological Sequence Design ICML 2020
Model-based reinforcement learning for biological sequence design ICLR 2020
Boundless: Generative Adversarial Networks for Image Extension ICCV 2019
Learning Latent Permutations with Gumbel-Sinkhorn Networks ICLR 2018
Synthesizing Normalized Faces From Facial Identity Features CVPR 2017
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks EACL 2017
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions EMNLP 2017
End-to-End Learning for Structured Prediction Energy Networks ICML 2017
Multilingual Relation Extraction using Compositional Universal Schema NAACL 2016
Bethe Learning of Graphical Models via MAP Decoding AISTATS 2016
Structured Prediction Energy Networks ICML 2016
A Linear Dynamical System Model for Text ICML 2015
Learning Soft Linear Constraints with Application to Citation Field Extraction ACL 2014
MAP Inference in Chains using Column Generation NIPS 2012