Joshua T. Abbott
4 papers · 2011–2017 · 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· Sprint π Interdisciplinary Bridge Β· Diamond πΊοΈ Taxonomy Completionist (26) π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Renaissance Researcher
(6)
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(4)
Core Methods
(4)
Artificial Intelligence
(3)
Computer Vision
(2)
Interdisciplinary
(2)
Analysis
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Cognitive Science
(2)
Core AI
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Application Areas
(1)
Applications
(1)
Keywords
representation learning
(1)
image classification
(1)
few-shot learning
(1)
probabilistic modeling
(1)
domain adaptation
(1)
bayesian inference
(1)
cognitive modeling
(1)
image retrieval
(1)
information retrieval
(1)
random walk
(1)
probabilistic prediction
(1)
visual classifier
(1)
human judgment
(1)
bayesian sets
(1)
representativeness measure
(1)
sparse binary features
(1)
unsupervised evaluation
(1)
image database
(1)
semantic network
(1)
human memory search
(1)
Papers
Adapting Deep Network Features to Capture Psychological Representations: An Abridged Report
IJCAI 2017
Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies
NeurIPS 2013
Human memory search as a random walk in a semantic network
NeurIPS 2012
Testing a Bayesian Measure of Representativeness Using a Large Image Database
NeurIPS 2011