Exploring Weight Symmetry in Deep Neural Networks

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Exploring Weight Symmetry in Deep Neural Networks

28 December 2018

Sergey Zagoruyko

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Papers citing "Exploring Weight Symmetry in Deep Neural Networks"

12 / 12 papers shown

Title
Binding threshold units with artificial oscillatory neurons V. Fanaskov Ivan Oseledets 110 0 0 06 May 2025
Towards Symmetric Low-Rank Adapters Tales Panoutsos Rodrygo L. T. Santos Flavio Figueiredo 177 0 0 29 Mar 2025
Hierarchical Associative Memory, Parallelized MLP-Mixer, and Symmetry Breaking Ryo Karakida Toshihiro Ota Masato Taki 96 2 0 18 Jun 2024
Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers Johann Schmidt Sebastian Stober 98 1 0 06 May 2024
Benefits of mirror weight symmetry for 3D mesh segmentation in biomedical applications Asif Abdullah Rokoni Maksim Dzhigil Martin Kasparick 3DH 58 0 0 29 Sep 2023
Switchable Lightweight Anti-symmetric Processing (SLAP) with CNN Outspeeds Data Augmentation by Smaller Sample -- Application in Gomoku Reinforcement Learning Chi-Hang Suen Eduardo Alonso 56 0 0 11 Jan 2023
Generalized energy and gradient flow via graph framelets Andi Han Dai Shi Zhiqi Shao Junbin Gao 181 13 0 08 Oct 2022
Understanding convolution on graphs via energies Francesco Di Giovanni J. Rowbottom B. Chamberlain Thomas Markovich Michael M. Bronstein GNN 85 51 0 22 Jun 2022
Learning Continuous Rotation Canonicalization with Radial Beam Sampling J. Schmidt Sebastian Stober 79 1 0 21 Jun 2022
Transformers from an Optimization Perspective Yongyi Yang Zengfeng Huang David Wipf 83 27 0 27 May 2022
Challenges in Markov chain Monte Carlo for Bayesian neural networks Theodore Papamarkou Jacob D. Hinkle M. T. Young D. Womble BDL 131 51 0 15 Oct 2019
Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction Shaeke Salman S. N. Payrovnaziri Xiuwen Liu Pablo Rengifo-Moreno Zhe He 26 0 0 14 May 2019