David Barrett
8 papers · 2012–2022 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird
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Keyword Champion
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Unstoppable Β· Bronze
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory Β· Machine Learning
(5)
Deep Learning
(4)
Core Methods
(4)
Learning Types Β· Machine Learning
(3)
Optimization & Theory Β· Deep Learning
(3)
Artificial Intelligence
(2)
Core AI
(2)
Interdisciplinary
(1)
Architectures
(1)
Cognitive Science
(1)
Learning Types Β· Deep Learning
(1)
Science
(1)
Keywords
neural network
(5)
implicit regularization
(3)
gradient descent
(2)
stochastic gradient descent
(1)
relational reasoning
(1)
hebbian learning
(1)
visual reasoning
(1)
spike-timing-dependent plasticity
(1)
predictive coding
(1)
spike-based code
(1)
hebbian plasticity
(1)
population representation
(1)
spike-based representation
(1)
predictive coding scheme
(1)
integrate-and-fire neuron
(1)
learning rate
(1)
spiking neural network
(1)
spike train
(1)
gradient flow
(1)
population coding
(1)
Papers
Why neural networks find simple solutions: The many regularizers of geometric complexity
NeurIPS 2022
Discretization Drift in Two-Player Games
ICML 2021
Implicit Gradient Regularization
ICLR 2021
On the Origin of Implicit Regularization in Stochastic Gradient Descent
ICLR 2021
An Explicitly Relational Neural Network Architecture
ICML 2020
Learning to Make Analogies by Contrasting Abstract Relational Structure
ICLR 2019
Measuring abstract reasoning in neural networks
ICML 2018
Learning optimal spike-based representations
NeurIPS 2012