David Belanger
15 papers · 2012–2022 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Keyword Trendsetter Combo
(4)
π
Keyword Champion
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
π
Renaissance Researcher
(7)
π
Conference Pioneer
ποΈ
Keyword Collector
(77)
π
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(11)
Core Methods
(7)
Optimization & Theory
(7)
Deep Learning
(5)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Optimization
(4)
Learning Types
(3)
Computer Science
(2)
Computer Vision
(2)
Natural Language Processing
(2)
Applications
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Models
(2)
Keywords
structured prediction
(4)
biological sequence design
(2)
energy network
(2)
latent variable model
(2)
graphical model
(2)
named entity recognition
(2)
recurrent neural network
(2)
belief propagation
(1)
sequence labeling
(1)
non-convex optimization
(1)
relation extraction
(1)
logical reasoning
(1)
multi-label classification
(1)
image editing
(1)
kalman filtering
(1)
gradient-based optimization
(1)
image denoising
(1)
knowledge base
(1)
hyperparameter optimization
(1)
part-of-speech tagging
(1)
Papers
Constrained Discrete Black-Box Optimization using Mixed-Integer Programming
ICML 2022
Model-based reinforcement learning for biological sequence design
ICLR 2020
Population-Based Black-Box Optimization for Biological Sequence Design
ICML 2020
Boundless: Generative Adversarial Networks for Image Extension
ICCV 2019
Learning Latent Permutations with Gumbel-Sinkhorn Networks
ICLR 2018
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks
EACL 2017
End-to-End Learning for Structured Prediction Energy Networks
ICML 2017
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
EMNLP 2017
Synthesizing Normalized Faces From Facial Identity Features
CVPR 2017
Bethe Learning of Graphical Models via MAP Decoding
AISTATS 2016
Multilingual Relation Extraction using Compositional Universal Schema
NAACL 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
NeurIPS 2012