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On the Transferability of Winning Tickets in Non-Natural Image Datasets
v1v2 (latest)

On the Transferability of Winning Tickets in Non-Natural Image Datasets

11 May 2020
M. Sabatelli
M. Kestemont
Pierre Geurts
ArXiv (abs)PDFHTML

Papers citing "On the Transferability of Winning Tickets in Non-Natural Image Datasets"

12 / 12 papers shown
Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning
Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning
Aleksandar Todorov
Juan Cardenas-Cartagena
Rafael F. Cunha
Marco Zullich
Matthia Sabatelli
CLL
224
1
0
09 Aug 2025
Iterative Magnitude Pruning as a Renormalisation Group: A Study in The
  Context of The Lottery Ticket Hypothesis
Iterative Magnitude Pruning as a Renormalisation Group: A Study in The Context of The Lottery Ticket Hypothesis
Abu-Al Hassan
170
0
0
06 Aug 2023
Pruning at Initialization -- A Sketching Perspective
Pruning at Initialization -- A Sketching PerspectiveIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Noga Bar
Raja Giryes
340
1
0
27 May 2023
Towards Compute-Optimal Transfer Learning
Towards Compute-Optimal Transfer Learning
Massimo Caccia
Alexandre Galashov
Arthur Douillard
Amal Rannen-Triki
Dushyant Rao
Michela Paganini
Laurent Charlin
MarcÁurelio Ranzato
Razvan Pascanu
191
4
0
25 Apr 2023
Considering Layerwise Importance in the Lottery Ticket Hypothesis
Considering Layerwise Importance in the Lottery Ticket Hypothesis
Benjamin Vandersmissen
José Oramas
246
1
0
22 Feb 2023
Strong Lottery Ticket Hypothesis with $\varepsilon$--perturbation
Strong Lottery Ticket Hypothesis with ε\varepsilonε--perturbationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Zheyang Xiong
Fangshuo Liao
Anastasios Kyrillidis
185
5
0
29 Oct 2022
DiSparse: Disentangled Sparsification for Multitask Model Compression
DiSparse: Disentangled Sparsification for Multitask Model CompressionComputer Vision and Pattern Recognition (CVPR), 2022
Xing Sun
Ali Hassani
Zinan Lin
Gao Huang
Humphrey Shi
236
27
0
09 Jun 2022
Universality of Winning Tickets: A Renormalization Group Perspective
Universality of Winning Tickets: A Renormalization Group Perspective
William T. Redman
Tianlong Chen
Zinan Lin
Akshunna S. Dogra
UQCV
345
8
0
07 Oct 2021
Sifting out the features by pruning: Are convolutional networks the
  winning lottery ticket of fully connected ones?
Sifting out the features by pruning: Are convolutional networks the winning lottery ticket of fully connected ones?
Franco Pellegrini
Giulio Biroli
321
6
0
27 Apr 2021
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win
Utku Evci
Yani Andrew Ioannou
Cem Keskin
Yann N. Dauphin
269
106
0
07 Oct 2020
Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask
  Similarity for Trainable Sub-Network Finding
Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network Finding
Michela Paganini
Jessica Zosa Forde
UQCV
178
6
0
06 Jul 2020
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization
  is Sufficient
Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is SufficientNeural Information Processing Systems (NeurIPS), 2020
Ankit Pensia
Shashank Rajput
Alliot Nagle
Harit Vishwakarma
Dimitris Papailiopoulos
464
115
0
14 Jun 2020
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