How Many Samples are Needed to Estimate a Convolutional or Recurrent
Neural Network?

How Many Samples are Needed to Estimate a Convolutional or Recurrent Neural Network?

21 May 2018

Sivaraman Balakrishnan

Ruslan Salakhutdinov

Aarti Singh

Papers citing "How Many Samples are Needed to Estimate a Convolutional or Recurrent Neural Network?"

14 / 14 papers shown

Title
Theoretical Analysis of Inductive Biases in Deep Convolutional Networks Zihao Wang Lei Wu 23 19 0 15 May 2023
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos Jhony H. Giraldo S. Javed Naoufel Werghi T. Bouwmans 27 26 0 13 Jul 2022
A New Measure of Model Redundancy for Compressed Convolutional Neural Networks Feiqing Huang Yuefeng Si Yao Zheng Guodong Li 39 1 0 09 Dec 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs Mingjie Li Shaobo Wang Quanshi Zhang 27 11 0 05 Nov 2021
A Sparse Coding Interpretation of Neural Networks and Theoretical Implications Joshua Bowren FAtt 32 1 0 14 Aug 2021
ResMLP: Feedforward networks for image classification with data-efficient training Hugo Touvron Piotr Bojanowski Mathilde Caron Matthieu Cord Alaaeldin El-Nouby ... Gautier Izacard Armand Joulin Gabriel Synnaeve Jakob Verbeek Hervé Jégou VLM 30 656 0 07 May 2021
Learning Graph Neural Networks with Approximate Gradient Descent Qunwei Li Shaofeng Zou Leon Wenliang Zhong GNN 32 1 0 07 Dec 2020
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets? Zhiyuan Li Yi Zhang Sanjeev Arora BDL MLT 8 39 0 16 Oct 2020
A Revision of Neural Tangent Kernel-based Approaches for Neural Networks Kyungsu Kim A. Lozano Eunho Yang AAML 27 0 0 02 Jul 2020
Generalization bounds for deep convolutional neural networks Philip M. Long Hanie Sedghi MLT 42 89 0 29 May 2019
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma Yucheng Zhang Edrise M. Lobo-Mueller P. Karanicolas S. Gallinger M. Haider Farzad Khalvati MedIm 15 10 0 23 May 2019
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruosong Wang MLT 37 962 0 24 Jan 2019
PAC-Bayesian Margin Bounds for Convolutional Neural Networks Konstantinos Pitas Mike Davies P. Vandergheynst BDL 46 12 0 30 Dec 2017
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 183 1,185 0 30 Nov 2014