Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks

26 May 2025

Papers citing "Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks"

8 / 8 papers shown

Title
Quantum Large Language Models via Tensor Network Disentanglers Borja Aizpurua S. Jahromi Sukhbinder Singh Roman Orus 55 4 0 22 Oct 2024
Tensor Networks for Explainable Machine Learning in Cybersecurity Borja Aizpurua Samuel Palmer Roman Orus 61 8 0 29 Dec 2023
ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models Zhihang Yuan Yuzhang Shang Yue Song Qiang Wu Yan Yan Guangyu Sun MQ 69 56 0 10 Dec 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Yu Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 92 20 0 22 Jan 2023
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? Yi Tay Mostafa Dehghani Samira Abnar Hyung Won Chung W. Fedus J. Rao Sharan Narang Vinh Q. Tran Dani Yogatama Donald Metzler AI4CE 87 102 0 21 Jul 2022
Neuron Shapley: Discovering the Responsible Neurons Amirata Ghorbani James Zou FAtt TDI 47 110 0 23 Feb 2020
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 169 7,437 0 02 Oct 2019
Tensorizing Neural Networks Alexander Novikov D. Podoprikhin A. Osokin Dmitry Vetrov 86 879 0 22 Sep 2015