David Mayo
5 papers · 2019–2024 · 2 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird
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The Questioner
(2)
Venues
Top co-authors
Research topics
Machine Learning
(4)
Deep Learning
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Analysis
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Interdisciplinary
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic
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Core AI
(1)
Core Methods
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Learning Types · Deep Learning
(1)
Keywords
distribution shift
(2)
object recognition
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online learning
(1)
domain generalization
(1)
transfer learning
(1)
bayesian inference
(1)
visual perception
(1)
visual cortex
(1)
object detection
(1)
neural signal processing
(1)
brain-computer interface
(1)
kalman filter
(1)
prior knowledge
(1)
brain decoding
(1)
performance evaluation
(1)
neural reconstruction
(1)
variational approximation
(1)
generative model
(1)
neural signal
(1)
deep neural network
(1)
Papers
BrainBits: How Much of the Brain are Generative Reconstruction Methods Using?
NeurIPS 2024
How hard are computer vision datasets? Calibrating dataset difficulty to viewing time
NeurIPS 2023
Learning in temporally structured environments
ICLR 2023
Neural Regression, Representational Similarity, Model Zoology & Neural Taskonomy at Scale in Rodent Visual Cortex
NeurIPS 2021
ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models
NeurIPS 2019