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Mansheej Paul
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 10
Top Topics
Run Length
Deep Learning
Support Vector Regression
Weakly Supervised
Top Venues
CoRR
NeurIPS
ICLR
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Publications
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Allan Raventós
,
Mansheej Paul
,
Feng Chen
,
Surya Ganguli
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression.
CoRR
(2023)
Mansheej Paul
,
Feng Chen
,
Brett W. Larsen
,
Jonathan Frankle
,
Surya Ganguli
,
Gintare Karolina Dziugaite
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
ICLR
(2023)
Allan Raventós
,
Mansheej Paul
,
Feng Chen
,
Surya Ganguli
Pretraining task diversity and the emergence of non-Bayesian in-context learning for regression.
NeurIPS
(2023)
Mansheej Paul
,
Feng Chen
,
Brett W. Larsen
,
Jonathan Frankle
,
Surya Ganguli
,
Gintare Karolina Dziugaite
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
CoRR
(2022)
Mansheej Paul
,
Brett W. Larsen
,
Surya Ganguli
,
Jonathan Frankle
,
Gintare Karolina Dziugaite
Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks.
CoRR
(2022)
Mansheej Paul
,
Brett W. Larsen
,
Surya Ganguli
,
Jonathan Frankle
,
Gintare Karolina Dziugaite
Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks.
NeurIPS
(2022)
Mansheej Paul
,
Surya Ganguli
,
Gintare Karolina Dziugaite
Deep Learning on a Data Diet: Finding Important Examples Early in Training.
NeurIPS
(2021)
Mansheej Paul
,
Surya Ganguli
,
Gintare Karolina Dziugaite
Deep Learning on a Data Diet: Finding Important Examples Early in Training.
CoRR
(2021)
Stanislav Fort
,
Gintare Karolina Dziugaite
,
Mansheej Paul
,
Sepideh Kharaghani
,
Daniel M. Roy
,
Surya Ganguli
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel.
NeurIPS
(2020)
Stanislav Fort
,
Gintare Karolina Dziugaite
,
Mansheej Paul
,
Sepideh Kharaghani
,
Daniel M. Roy
,
Surya Ganguli
Deep learning versus kernel learning: an empirical study of loss landscape geometry and the time evolution of the Neural Tangent Kernel.
CoRR
(2020)