David Mayo
5 papers · 2019–2024 · 2 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (2) π Academic Marathon (5)
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Cross-Pollinator
(6)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(13)
β
The Questioner
(2)
Conferences
NIPS (4)
ICLR (1)
Top co-authors
Keywords
object recognition
(2)
distribution shift
(2)
domain generalization
(1)
transfer learning
(1)
visual perception
(1)
visual cortex
(1)
object detection
(1)
neural signal processing
(1)
brain-computer interface
(1)
prior knowledge
(1)
brain decoding
(1)
performance evaluation
(1)
neural reconstruction
(1)
generative model
(1)
neural signal
(1)
deep neural network
(1)
benchmark dataset
(1)
generative prior
(1)
fidelity reconstruction
(1)
bottleneck analysis
(1)
Papers
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?
NIPS 2024
How hard are computer vision datasets? Calibrating dataset difficulty to viewing time
NIPS 2023
Learning in temporally structured environments
ICLR 2023
Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex
NIPS 2021
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
NIPS 2019