Nonparametric Online Learning Using Lipschitz Regularized Deep Neural Networks

26 May 2019

Papers citing "Nonparametric Online Learning Using Lipschitz Regularized Deep Neural Networks"

20 / 20 papers shown

Title
Generalisation in fully-connected neural networks for time series forecasting Anastasia Borovykh C. Oosterlee S. Bohté OOD AI4TS 46 3 0 14 Feb 2019
Improved robustness to adversarial examples using Lipschitz regularization of the loss Chris Finlay Adam M. Oberman B. Abbasi 46 34 0 01 Oct 2018
Lipschitz Networks and Distributional Robustness Zac Cranko Simon Kornblith Zhan Shi Richard Nock OOD 38 11 0 04 Sep 2018
A Surprising Linear Relationship Predicts Test Performance in Deep Networks Q. Liao Brando Miranda Andrzej Banburski Jack Hidary T. Poggio 47 32 0 25 Jul 2018
Short-term Load Forecasting with Deep Residual Networks Kunjin Chen Kunlong Chen Qin Wang Ziyu He Jun Hu Jinliang He 54 467 0 30 May 2018
Regularisation of Neural Networks by Enforcing Lipschitz Continuity Henry Gouk E. Frank Bernhard Pfahringer M. Cree 160 475 0 12 Apr 2018
Spectral Normalization for Generative Adversarial Networks Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida ODL 155 4,433 0 16 Feb 2018
Online Deep Learning: Learning Deep Neural Networks on the Fly Doyen Sahoo Quang Pham Jing Lu Guosheng Lin OnRL AI4CE 63 317 0 10 Nov 2017
Deep and Confident Prediction for Time Series at Uber Lingxue Zhu N. Laptev BDL AI4TS 139 345 0 06 Sep 2017
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem Zhengyao Jiang Dixing Xu Jinjun Liang OOD 62 344 0 30 Jun 2017
Spectrally-normalized margin bounds for neural networks Peter L. Bartlett Dylan J. Foster Matus Telgarsky ODL 189 1,216 0 26 Jun 2017
Growth-Optimal Portfolio Selection under CVaR Constraints Guy Uziel Ran El-Yaniv 32 10 0 27 May 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 301 1,860 0 03 Feb 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 322 4,624 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 406 2,935 0 15 Sep 2016
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 296 6,660 0 08 Jun 2015
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 247 14,893 1 21 Dec 2013
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks Matthew D. Zeiler Rob Fergus 174 989 0 16 Jan 2013
Robustness and Generalization Huan Xu Shie Mannor OOD 180 460 0 13 May 2010
Sequential Quantile Prediction of Time Series Gérard Biau B. Patra AI4TS 79 35 0 18 Aug 2009