Maithra Raghu
13 papers · 2016–2022 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (30) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
β
The Questioner
(4)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Deep Learning
(10)
Machine Learning
(10)
Artificial Intelligence
(6)
Architectures
(5)
Core AI
(4)
Optimization & Theory Β· Machine Learning
(4)
Application Areas
(3)
Core Methods
(3)
Learning Paradigms
(3)
Learning Types Β· Deep Learning
(3)
Optimization & Theory Β· Deep Learning
(3)
Techniques
(3)
Learning Types Β· Machine Learning
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Keywords
neural network
(6)
representation learning
(5)
transfer learning
(2)
deep learning
(2)
feature reuse
(2)
medical imaging
(2)
convolutional neural network
(2)
canonical correlation analysis
(2)
mean field theory
(1)
domain adaptation
(1)
catastrophic forgetting
(1)
game theory
(1)
few-shot learning
(1)
data augmentation
(1)
continual learning
(1)
gradient descent
(1)
neural network training
(1)
batch normalization
(1)
gradient-based method
(1)
vision transformer
(1)
Papers
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures
NeurIPS 2022
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
ICLR 2021
Do Vision Transformers See Like Convolutional Neural Networks?
NeurIPS 2021
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth
ICLR 2021
Teaching with Commentaries
ICLR 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
ICLR 2020
Direct Uncertainty Prediction for Medical Second Opinions
ICML 2019
Transfusion: Understanding Transfer Learning for Medical Imaging
NeurIPS 2019
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
ICML 2018
Insights on representational similarity in neural networks with canonical correlation
NeurIPS 2018
On the Expressive Power of Deep Neural Networks
ICML 2017
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability
NeurIPS 2017
Exponential expressivity in deep neural networks through transient chaos
NeurIPS 2016