Maithra Raghu
13 papers · 2016–2022 · 3 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Cross-Pollinator (11) π Conference Polyglot (3) π Academic Marathon (6) π Renaissance Researcher (7)
πΊοΈ
Taxonomy Completionist
(24)
π
Conference Polyglot
(3)
π
Academic Marathon
(6)
π§¬
Topic Evolution
π
Century Club
(13)
β
The Questioner
(4)
π₯
Unstoppable
(7)
Conferences
NIPS (6)
ICLR (4)
ICML (3)
Top co-authors
Keywords
neural network
(4)
representation learning
(3)
canonical correlation analysis
(2)
convolutional neural network
(2)
deep learning
(2)
medical imaging
(2)
transfer learning
(2)
gradient descent
(1)
generalization error
(1)
riemannian geometry
(1)
phase transition
(1)
recurrent neural network
(1)
deep neural network
(1)
trajectory length
(1)
network depth
(1)
combinatorial game
(1)
representational similarity
(1)
optimal behavior
(1)
feature reuse
(1)
logical function
(1)
Papers
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures
NIPS 2022
Teaching with Commentaries
ICLR 2021
Do Wide and Deep Networks Learn the Same Things? Uncovering How Neural Network Representations Vary with Width and Depth
ICLR 2021
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
ICLR 2021
Do Vision Transformers See Like Convolutional Neural Networks?
NIPS 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
NIPS 2019
Insights on representational similarity in neural networks with canonical correlation
NIPS 2018
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
ICML 2018
SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability
NIPS 2017
On the Expressive Power of Deep Neural Networks
ICML 2017
Exponential expressivity in deep neural networks through transient chaos
NIPS 2016