Mansheej Paul

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Reference Models

Support Vector Regression

Top Venues

Publications

Cody Blakeney, Mansheej Paul, Brett W. Larsen, Sean Owen, Jonathan Frankle
Does your data spark joy? Performance gains from domain upsampling at the end of training. CoRR (2024)
Zachary Ankner, Cody Blakeney, Kartik Sreenivasan, Max Marion, Matthew L. Leavitt, Mansheej Paul
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models. CoRR (2024)
Dan Biderman, Jose Javier Gonzalez Ortiz, Jacob Portes, Mansheej Paul, Philip Greengard, Connor Jennings, Daniel King, Sam Havens, Vitaliy Chiley, Jonathan Frankle, Cody Blakeney, John P. Cunningham
LoRA Learns Less and Forgets Less. CoRR (2024)
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)