v1v2v3 (latest)

Dropout Drops Double Descent

25 May 2023

Papers citing "Dropout Drops Double Descent"

34 / 34 papers shown

Title
Multiple Descent: Design Your Own Generalization Curve Lin Chen Yifei Min M. Belkin Amin Karbasi DRL 81 61 0 03 Aug 2020
Early Stopping in Deep Networks: Double Descent and How to Eliminate it Reinhard Heckel Fatih Yilmaz 65 45 0 20 Jul 2020
$On the Optimal Weighted $\ell_2$ Regularization in Overparameterized Linear Regression$ On the Optimal Weighted $\ell_2$ Regularization in Overparameterized Linear Regression Denny Wu Ji Xu 70 122 0 10 Jun 2020
Dropout: Explicit Forms and Capacity Control R. Arora Peter L. Bartlett Poorya Mianjy Nathan Srebro 96 38 0 06 Mar 2020
Optimal Regularization Can Mitigate Double Descent Preetum Nakkiran Prayaag Venkat Sham Kakade Tengyu Ma 81 133 0 04 Mar 2020
The Implicit and Explicit Regularization Effects of Dropout Colin Wei Sham Kakade Tengyu Ma 85 117 0 28 Feb 2020
Deep Double Descent: Where Bigger Models and More Data Hurt Preetum Nakkiran Gal Kaplun Yamini Bansal Tristan Yang Boaz Barak Ilya Sutskever 121 942 0 04 Dec 2019
The Implicit Regularization of Ordinary Least Squares Ensembles Daniel LeJeune Hamid Javadi Richard G. Baraniuk 97 43 0 10 Oct 2019
Learning Sparse Networks Using Targeted Dropout Aidan Gomez Ivan Zhang Siddhartha Rao Kamalakara Divyam Madaan Kevin Swersky Y. Gal Geoffrey E. Hinton 74 98 0 31 May 2019
Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks Guangyong Chen Pengfei Chen Yujun Shi Chang-Yu Hsieh B. Liao Shengyu Zhang OOD 36 80 0 15 May 2019
Surprises in High-Dimensional Ridgeless Least Squares Interpolation Trevor Hastie Andrea Montanari Saharon Rosset Robert Tibshirani 188 743 0 19 Mar 2019
Two models of double descent for weak features M. Belkin Daniel J. Hsu Ji Xu 99 374 0 18 Mar 2019
Ising-Dropout: A Regularization Method for Training and Compression of Deep Neural Networks Hojjat Salehinejad S. Valaee 40 30 0 07 Feb 2019
Reconciling modern machine learning practice and the bias-variance trade-off M. Belkin Daniel J. Hsu Siyuan Ma Soumik Mandal 232 1,650 0 28 Dec 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 267 3,203 0 20 Jun 2018
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift Xiang Li Shuo Chen Xiaolin Hu Jian Yang 72 309 0 16 Jan 2018
Regularization of Deep Neural Networks with Spectral Dropout Salman Khan Munawar Hayat Fatih Porikli 66 103 0 23 Nov 2017
Adversarial Dropout Regularization Kuniaki Saito Yoshitaka Ushiku Tatsuya Harada Kate Saenko GAN 72 285 0 05 Nov 2017
High-dimensional dynamics of generalization error in neural networks Madhu S. Advani Andrew M. Saxe AI4CE 139 469 0 10 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,883 0 25 Aug 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 125 1,818 0 16 Jun 2017
Concrete Dropout Y. Gal Jiri Hron Alex Kendall BDL UQCV 179 592 0 22 May 2017
Information Dropout: Learning Optimal Representations Through Noisy Computation Alessandro Achille Stefano Soatto OOD DRL SSL 60 400 0 04 Nov 2016
Generalized ridge estimator and model selection criterion in multivariate linear regression Y. Mori Taiji Suzuki 37 8 0 31 Mar 2016
Improved Dropout for Shallow and Deep Learning Zhe Li Boqing Gong Tianbao Yang BDL SyDa 85 78 0 06 Feb 2016
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 226 1,514 0 08 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 821 9,318 0 06 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015
On the Inductive Bias of Dropout D. Helmbold Philip M. Long 127 71 0 15 Dec 2014
Dropout Rademacher Complexity of Deep Neural Networks Wei Gao Zhi Zhou 94 69 0 16 Feb 2014
DeepPose: Human Pose Estimation via Deep Neural Networks Alexander Toshev Christian Szegedy 3DH 183 2,774 0 17 Dec 2013
Dropout Training as Adaptive Regularization Stefan Wager Sida I. Wang Percy Liang 129 599 0 04 Jul 2013
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 161 282 0 09 Aug 2012
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 453 7,663 0 03 Jul 2012