Daniel L Yamins
9 papers · 2013–2020 · 1 conference · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Academic Marathon (7) π Cross-Pollinator (10) π Renaissance Researcher (5)
πΊοΈ
Taxonomy Completionist
(21)
π
Interdisciplinary Bridge
π±
Topic Pioneer
ποΈ
Keyword Collector
(50)
π
Trend Setter
Conferences
NIPS (9)
Top co-authors
Keywords
convolutional neural network
(3)
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)
intrinsic motivation
(1)
graph representation
(1)
ventral stream
(1)
hierarchical modular optimization
(1)
representation dissimilarity matrix
(1)
object classification
(1)
Papers
Learning Physical Graph Representations from Visual Scenes
NIPS 2020
Identifying Learning Rules From Neural Network Observables
NIPS 2020
Pruning neural networks without any data by iteratively conserving synaptic flow
NIPS 2020
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
NIPS 2019
Flexible neural representation for physics prediction
NIPS 2018
Task-Driven Convolutional Recurrent Models of the Visual System
NIPS 2018
Learning to Play With Intrinsically-Motivated, Self-Aware Agents
NIPS 2018
Toward Goal-Driven Neural Network Models for the Rodent Whisker-Trigeminal System
NIPS 2017
Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream
NIPS 2013