Understanding the effect of sparsity on neural networks robustness

Lukas Timpl, Rahim Entezari, Hanie Sedghi, Behnam Neyshabur, Olga Saukh

Institute of Technical Informatics (4480)

Research output: Working paper › Preprint

Original language	English
Publication status	Published - 24 Jul 2021

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https://drive.google.com/file/d/1Vf_n076lNU7LFJ22J-aMaflUoZqV8CyS/view?usp=sharing

1 Poster
1 Preprint

Studying the impact of magnitude pruning on contrastive learning methods
Corti, F., Entezari, R., Bacciu, D., Hooker, S. & Saukh, O., 1 Jul 2022, arXiv, p. 1-10, 10 p.
Research output: Working paper › Preprint
Understanding the effect of sparsity on neural networks' robustness
Timpl, L., Entezari, R., Sedghi, H., Neyshabur, B. & Saukh, O., 8 Jul 2021.
Research output: Contribution to conference › Poster › peer-review

Open Access

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