Towards a universal mechanism for successful deep learning

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Towards a universal mechanism for successful deep learning

14 September 2023

Shiri Hodassman

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Papers citing "Towards a universal mechanism for successful deep learning"

11 / 11 papers shown

Title
Unified CNNs and transformers underlying learning mechanism reveals multi-head attention modus vivendi Ella Koresh Ronit D. Gross Yuval Meir Yarden Tzach Tal Halevi Ido Kanter ViT 105 0 0 22 Jan 2025
Filter Pruning for Efficient CNNs via Knowledge-driven Differential Filter Sampler Shaohui Lin Wenxuan Huang Jiao Xie Baochang Zhang Yunhang Shen Zhou Yu Jungong Han David Doermann 55 2 0 01 Jul 2023
The mechanism underlying successful deep learning Yarden Tzach Yuval Meir Ofek Tevet Ronit D. Gross Shiri Hodassman R. Vardi Ido Kanter 32 4 0 29 May 2023
Enhancing the accuracies by performing pooling decisions adjacent to the output layer Yuval Meir Yarden Tzach Ronit D. Gross Ofek Tevet R. Vardi Ido Kanter 67 5 0 10 Mar 2023
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 164 18,193 0 28 May 2019
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks Wenjie Luo Yujia Li R. Urtasun R. Zemel HAI 102 1,803 0 15 Jan 2017
Pruning Filters for Efficient ConvNets Hao Li Asim Kadav Igor Durdanovic H. Samet H. Graf 3DPC 195 3,707 0 31 Aug 2016
Nesterov's Accelerated Gradient and Momentum as approximations to Regularised Update Descent Aleksandar Botev Guy Lever David Barber ODL 52 159 0 07 Jul 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 353 8,002 0 23 May 2016
How transferable are features in deep neural networks? J. Yosinski Jeff Clune Yoshua Bengio Hod Lipson OOD 236 8,353 0 06 Nov 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 248 16,378 0 30 Apr 2014