Joshua W. Robinson
6 papers · 2008–2023 · 2 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Full π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Champion
(2)
β
The Questioner
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(5)
Core Methods
(5)
Deep Learning
(3)
Learning Types Β· Machine Learning
(3)
Artificial Intelligence
(2)
Architectures
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Learning Types Β· Deep Learning
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Core AI
(1)
Methods
(1)
Optimization
(1)
Keywords
representation learning
(2)
non-stationary process
(2)
structure learning
(2)
contrastive learning
(2)
dynamic bayesian network
(2)
markov chain monte carlo
(2)
time series
(1)
discrete optimization
(1)
non-stationary processes
(1)
semantic similarity
(1)
bayesian network
(1)
graphical model
(1)
spectral geometry
(1)
instance discrimination
(1)
negative sampling
(1)
polynomial network
(1)
set function
(1)
graph neural network
(1)
neural network
(1)
sign equivariant network
(1)
Papers
Expressive Sign Equivariant Networks for Spectral Geometric Learning
NeurIPS 2023
Neural Set Function Extensions: Learning with Discrete Functions in High Dimensions
NeurIPS 2022
Can contrastive learning avoid shortcut solutions?
NeurIPS 2021
Debiased Contrastive Learning
NeurIPS 2020
Learning Non-Stationary Dynamic Bayesian Networks
JMLR 2010
Non-stationary dynamic Bayesian networks
NeurIPS 2008