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Jonathan Frankle

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

14

Venues

5

Active years

2016–2024

Best venue rank

A*

Where they publish

Papers

14 indexed papers, newest first.

YearVenueTitleAuthors
2024CVPRCommon Canvas: Open Diffusion Models Trained on Creative-Commons Images.Aaron Gokaslan, A. Feder Cooper, Jasmine Collins, Landan Seguin, Austin Jacobson, Mihir Patel, Jonathan Frankle, Cory Stephenson, Volodymyr Kuleshov
2024EACLDynamic Masking Rate Schedules for MLM Pretraining.Zachary Ankner, Naomi Saphra, Davis W. Blalock, Jonathan Frankle, Matthew L. Leavitt
2024ICMLBeyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws.Nikhil Sardana, Jacob P. Portes, Sasha Doubov, Jonathan Frankle
2023ICLRUnmasking 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
2022ICMLWhat Can Linear Interpolation of Neural Network Loss Landscapes Tell Us?Tiffany J. Vlaar, Jonathan Frankle
2021CVPRThe Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models.Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang
2021ICLRPruning Neural Networks at Initialization: Why Are We Missing the Mark?Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy, Michael Carbin
2021ICLRTraining BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs.Jonathan Frankle, David J. Schwab, Ari S. Morcos
2021ICMLOn the Predictability of Pruning Across Scales.Jonathan S. Rosenfeld, Jonathan Frankle, Michael Carbin, Nir Shavit
2020ICLRThe Early Phase of Neural Network Training.Jonathan Frankle, David J. Schwab, Ari S. Morcos
2020ICLRComparing Rewinding and Fine-tuning in Neural Network Pruning.Alex Renda, Jonathan Frankle, Michael Carbin
2020ICMLLinear Mode Connectivity and the Lottery Ticket Hypothesis.Jonathan Frankle, Gintare Karolina Dziugaite, Daniel M. Roy, Michael Carbin
2019ICLRThe Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.Jonathan Frankle, Michael Carbin
2016POPLExample-directed synthesis: a type-theoretic interpretation.Jonathan Frankle, Peter-Michael Osera, David Walker, Steve Zdancewic