Larsen, Brett W

8 publications

ICMLW 2024 Does Your Data Spark Joy? Performance Gains from Domain Upsampling at the End of Training Cody Blakeney, Mansheej Paul, Brett W. Larsen, Sean Owen, Jonathan Frankle

ICLR 2024 Estimating Shape Distances on Neural Representations with Limited Samples Dean A Pospisil, Brett W. Larsen, Sarah E Harvey, Alex H Williams

NeurIPSW 2023 Duality of Bures and Shape Distances with Implications for Comparing Neural Representations Sarah E Harvey, Brett W. Larsen, Alex H Williams

NeurIPSW 2023 Estimating Shape Distances on Neural Representations with Limited Samples Dean A Pospisil, Brett W. Larsen, Sarah E Harvey, Alex H Williams

ICLR 2023 Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? Mansheej Paul, Feng Chen, Brett W. Larsen, Jonathan Frankle, Surya Ganguli, Gintare Karolina Dziugaite

ICLR 2022 How Many Degrees of Freedom Do We Need to Train Deep Networks: A Loss Landscape Perspective Brett W Larsen, Stanislav Fort, Nic Becker, Surya Ganguli

ICMLW 2022 Pre-Training on a Data Diet: Identifying Sufficient Examples for Early Training Mansheej Paul, Brett W Larsen, Surya Ganguli, Jonathan Frankle, Gintare Karolina Dziugaite

NeurIPSW 2022 Unmasking the Lottery Ticket Hypothesis: Efficient Adaptive Pruning for Finding Winning Tickets Mansheej Paul, Feng Chen, Brett W. Larsen, Jonathan Frankle, Surya Ganguli, Gintare Karolina Dziugaite