Jonathan Frankle

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Michael CarbinMassachusetts Institute of TechnologyVerified email at csail.mit.edu
Gintare Karolina DziugaiteGoogle DeepMindVerified email at google.com
Daniel M. RoyResearch Director, Vector Institute; Prof., U. Toronto (Statistics, CS)Verified email at utoronto.ca
Ari S. MorcosDatologyAIVerified email at datologyai.com
Jose Javier Gonzalez OrtizMassachusetts Institute of TechnologyVerified email at mit.edu
Alex RendaPhD Student, MITVerified email at csail.mit.edu
Mansheej PaulResearch Scientist, DatabricksVerified email at databricks.com
Zhangyang (Atlas) WangXTX Markets & University of Texas at AustinVerified email at utexas.edu
Brett W. LarsenDatabricks Mosaic Research & Flatiron InstituteVerified email at stanford.edu
Peter-Michael OseraGrinnell CollegeVerified email at cs.grinnell.edu
Daniel J. Weitzner3Com Founders Senior Research Scientist, Massachusetts Institute of TechnologyVerified email at csail.mit.edu
Sunoo ParkMITVerified email at csail.mit.edu
Steve ZdancewicProfessor of Computer and Information Science, University of PennsylvaniaVerified email at cis.upenn.edu
David WalkerPrinceton UniversityVerified email at cs.princeton.edu
Jonathan S. RosenfeldPhD, Computer Science, MITVerified email at csail.mit.edu
Saman AmarasingheMITVerified email at mit.edu
Riyadh BaghdadiAssistant Professor (NYUAD); Global Network Assistant Professor (NYU); Research Affiliate (MIT)Verified email at nyu.edu
BENHAMIDA Fatima ZohraAssistant professor at Ecole Nationale Superieure d'InformatiqueVerified email at esi.dz
Abdelkader Nadir DebbaghEtudiant, Ecole Nationale Supérieure d'InformatiqueVerified email at esi.dz
David BauAssistant Professor at Northeastern UniversityVerified email at northeastern.edu

Jonathan Frankle

Databricks

Verified email at databricks.com - Homepage

Empirical Deep Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks J Frankle, M Carbin International Conference on Learning Representations, 2019	4003	2019
What is the State of Neural Network Pruning? D Blalock, JJG Ortiz, J Frankle, J Guttag Conference on Machine Learning and Systems, 2020	1256	2020
Linear Mode Connectivity and the Lottery Ticket Hypothesis J Frankle, GK Dziugaite, DM Roy, M Carbin International Conference on Machine Learning, 2020	529	2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning A Renda, J Frankle, M Carbin International Conference on Learning Representations, 2020	422	2020
The Lottery Ticket Hypothesis for Pre-Trained BERT Networks T Chen, J Frankle, S Chang, S Liu, Y Zhang, Z Wang, M Carbin Neural Information Processing Systems, 2020	380	2020
The Perpetual Line-Up: Unregulated Police Face Recognition in America C Garvie, A Bedoya, J Frankle Georgetown Law, Center on Privacy & Technology, 2016	375	2016
Stabilizing the Lottery Ticket Hypothesis / The Lottery Ticket Hypothesis at Scale J Frankle, GK Dziugaite, DM Roy, M Carbin arXiv, 2019	363*	2019
Pruning Neural Networks at Initialization: Why are We Missing the Mark? J Frankle, GK Dziugaite, DM Roy, M Carbin International Conference on Learning Representations, 2021	234	2021
The Early Phase of Neural Network Training J Frankle, DJ Schwab, AS Morcos International Conference on Learning Representations, 2020	173	2020
Example-Directed Synthesis: A Type-Theoretic Interpretation J Frankle, PM Osera, D Walker, S Zdancewic POPL 51 (1), 802-815, 2016	150	2016
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models T Chen, J Frankle, S Chang, S Liu, Y Zhang, M Carbin, Z Wang Conference on Computer Vision and Pattern Recognition, 2021	137	2021
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs J Frankle, DJ Schwab, AS Morcos International Conference on Learning Representations, 2021	135	2021
Facial-Recognition Software Might Have a Racial Bias Problem C Garvie, J Frankle The Atlantic 7, 2016	131	2016
Practical Accountability of Secret Processes J Frankle, S Park, D Shaar, S Goldwasser, D Weitzner 27th USENIX Security Symposium (USENIX Security 18), 657-674, 2018	87	2018
Are all negatives created equal in contrastive instance discrimination? TT Cai, J Frankle, DJ Schwab, AS Morcos Science Meets Engineering of Deep Learning Workshop (ICLR), 2021	82*	2021
Desirable Inefficiency P Ohm, J Frankle Fla. L. Rev. 70, 777, 2018	66	2018
On the Predictability of Pruning Across Scales JS Rosenfeld, J Frankle, M Carbin, N Shavit International Conference on Machine Learning, 2021	37	2021
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? M Paul, F Chen, BW Larsen, J Frankle, S Ganguli, GK Dziugaite arXiv preprint arXiv:2210.03044, 2022	36	2022
Lora learns less and forgets less D Biderman, JG Ortiz, J Portes, M Paul, P Greengard, C Jennings, D King, ... arXiv preprint arXiv:2405.09673, 2024	33	2024
Biomedlm: A 2.7 b parameter language model trained on biomedical text E Bolton, A Venigalla, M Yasunaga, D Hall, B Xiong, T Lee, R Daneshjou, ... arXiv preprint arXiv:2403.18421, 2024	28	2024

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