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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"

10 / 10 papers shown
Title
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
48
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
92
0
0
06 Aug 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
113
3
0
25 Apr 2023
Considering Layerwise Importance in the Lottery Ticket Hypothesis
Considering Layerwise Importance in the Lottery Ticket Hypothesis
Benjamin Vandersmissen
José Oramas
116
1
0
22 Feb 2023
Strong Lottery Ticket Hypothesis with $\varepsilon$--perturbation
Strong Lottery Ticket Hypothesis with ε\varepsilonε--perturbation
Zheyang Xiong
Fangshuo Liao
Anastasios Kyrillidis
84
2
0
29 Oct 2022
DiSparse: Disentangled Sparsification for Multitask Model Compression
DiSparse: Disentangled Sparsification for Multitask Model Compression
Xing Sun
Ali Hassani
Zhangyang Wang
Gao Huang
Humphrey Shi
152
21
0
09 Jun 2022
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
178
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
114
96
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
76
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), 2025
Ankit Pensia
Shashank Rajput
Alliot Nagle
Harit Vishwakarma
Dimitris Papailiopoulos
225
108
0
14 Jun 2020
1