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We study the generalization properties of pruned neural networks that are the winners of the lottery ticket hypothesis on datasets of natural images.
The pascal visual object classes (voc) challenge
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K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Collaborative analysis of multi-gigapixel imaging data using cytomine
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Pruning convolutional neural networks for resource efficient inference
P. Molchanov, S. Tyree, T. Karras, T. Aila, and J. Kautz · 2016
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Runtime neural pruning
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Omniart: multi-task deep learning for artistic data analysis
G. Strezoski and M. Worring · 2017
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Discrimination-aware channel pruning for deep neural networks
Z. Zhuang, M. Tan, B. Zhuang, J. Liu, Y. Guo, Q. Wu, J. Huang, and J. Zhu · 2018
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Stabilizing the lottery ticket hypothesis
J. Frankle, G. K. Dziugaite, D. Roy, and M. Carbin · 2019
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Linear mode connectivity and the lottery ticket hypothesis
J. Frankle, G. K. Dziugaite, D. M. Roy, and M. Carbin · 2019
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Sparse transfer learning via winning lottery tickets
R. Mehta · 2019
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One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
A. Morcos, H. Yu, M. Paganini, and Y. Tian · 2019
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Comparison of deep transfer learning strategies for digital pathology
R. Mormont, P. Geurts, and R. Marée · 2018
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Deep transfer learning for art classification problems
M. Sabatelli, M. Kestemont, W. Daelemans, and P. Geurts · 2018
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Omniart: a large-scale artistic benchmark
G. Strezoski and M. Worring · 2018
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Learning sparse sharing architectures for multiple tasks
T. Sun, Y. Shao, X. Li, P. Liu, H. Yan, X. Qiu, and X. Huang · 2019
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Using winning lottery tickets in transfer learning for convolutional neural networks
R. Van Soelen and J. W. Sheppard · 2019
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Playing the lottery with rewards and multiple languages: lottery tickets in rl and nlp
H. Yu, S. Edunov, Y. Tian, and A. S. Morcos · 2019
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One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
V. Gohil, S. D. Narayanan, and A. Jain · 2020
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