Daniel L Yamins
9 papers · 2013–2020 · 1 venue · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (22) π± Topic Pioneer
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(51)
Venues
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Research topics
Deep Learning
(6)
Computer Vision
(5)
Analysis
(5)
Architectures
(5)
Machine Learning
(4)
Artificial Intelligence
(3)
Interdisciplinary
(3)
Core AI Β· Artificial Intelligence
(3)
Core Methods
(3)
Cognitive Science
(2)
Core AI Β· Computer Vision
(2)
Science
(2)
Application Areas
(1)
Learning Paradigms
(1)
Optimization & Theory
(1)
Keywords
convolutional neural network
(4)
graph neural network
(2)
self-supervised learning
(2)
object recognition
(2)
recurrent neural network
(2)
neural network model
(1)
scene understanding
(1)
lottery ticket hypothesis
(1)
sensory processing
(1)
hierarchical representation
(1)
shape recognition
(1)
scene segmentation
(1)
computational neuroscience
(1)
neural population
(1)
ventral stream
(1)
graph representation
(1)
functional magnetic resonance imaging
(1)
intrinsic motivation
(1)
hierarchical modular optimization
(1)
object classification
(1)
Papers
Identifying Learning Rules From Neural Network Observables
NeurIPS 2020
Learning Physical Graph Representations from Visual Scenes
NeurIPS 2020
Pruning neural networks without any data by iteratively conserving synaptic flow
NeurIPS 2020
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
NeurIPS 2019
Flexible neural representation for physics prediction
NeurIPS 2018
Learning to Play With Intrinsically-Motivated, Self-Aware Agents
NeurIPS 2018
Task-Driven Convolutional Recurrent Models of the Visual System
NeurIPS 2018
Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System
NeurIPS 2017
Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream
NeurIPS 2013