Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The problem of generalisation

25 October 2022

Papers citing "Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The problem of generalisation"

21 / 21 papers shown

Title
Deep learning: a statistical viewpoint Peter L. Bartlett Andrea Montanari Alexander Rakhlin 55 276 0 16 Mar 2021
Understanding Generalization in Deep Learning via Tensor Methods Jingling Li Yanchao Sun Jiahao Su Taiji Suzuki Furong Huang 68 28 0 14 Jan 2020
Efficient Learning for Deep Quantum Neural Networks Kerstin Beer Dmytro Bondarenko Terry Farrelly T. Osborne Robert Salzmann Ramona Wolf 61 560 0 27 Feb 2019
Reconciling modern machine learning practice and the bias-variance trade-off M. Belkin Daniel J. Hsu Siyuan Ma Soumik Mandal 227 1,647 0 28 Dec 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 225 3,463 0 09 Mar 2018
To understand deep learning we need to understand kernel learning M. Belkin Siyuan Ma Soumik Mandal 60 418 0 05 Feb 2018
Theory of Deep Learning III: explaining the non-overfitting puzzle T. Poggio Kenji Kawaguchi Q. Liao Brando Miranda Lorenzo Rosasco Xavier Boix Jack Hidary H. Mhaskar ODL 55 128 0 30 Dec 2017
Deep Neural Network Capacity Aosen Wang Huan Zhou Wenyao Xu Xin Chen 20 4 0 16 Aug 2017
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks Behnam Neyshabur Srinadh Bhojanapalli Nathan Srebro 80 606 0 29 Jul 2017
Towards Understanding Generalization of Deep Learning: Perspective of Loss Landscapes Lei Wu Zhanxing Zhu E. Weinan ODL 62 221 0 30 Jun 2017
Exploring Generalization in Deep Learning Behnam Neyshabur Srinadh Bhojanapalli David A. McAllester Nathan Srebro FAtt 146 1,255 0 27 Jun 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 120 1,816 0 16 Jun 2017
Train longer, generalize better: closing the generalization gap in large batch training of neural networks Elad Hoffer Itay Hubara Daniel Soudry ODL 169 799 0 24 May 2017
Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data Gintare Karolina Dziugaite Daniel M. Roy 106 813 0 31 Mar 2017
Sharp Minima Can Generalize For Deep Nets Laurent Dinh Razvan Pascanu Samy Bengio Yoshua Bengio ODL 112 772 0 15 Mar 2017
Opening the Black Box of Deep Neural Networks via Information Ravid Shwartz-Ziv Naftali Tishby AI4CE 98 1,408 0 02 Mar 2017
Generalization and Equilibrium in Generative Adversarial Nets (GANs) Sanjeev Arora Rong Ge Yingyu Liang Tengyu Ma Yi Zhang GAN 54 688 0 02 Mar 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 336 4,625 0 10 Nov 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 421 2,936 0 15 Sep 2016
Why does deep and cheap learning work so well? Henry W. Lin Max Tegmark David Rolnick 72 607 0 29 Aug 2016
In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning Behnam Neyshabur Ryota Tomioka Nathan Srebro AI4CE 90 657 0 20 Dec 2014