v1v2v3v4v5 (latest)

Why and When Can Deep -- but Not Shallow -- Networks Avoid the Curse of Dimensionality: a Review

2 November 2016

Papers citing "Why and When Can Deep -- but Not Shallow -- Networks Avoid the Curse of Dimensionality: a Review"

38 / 238 papers shown

Title
Image as Data: Automated Visual Content Analysis for Political Science Jungseock Joo Zachary C. Steinert-Threlkeld 48 42 0 03 Oct 2018
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning Charles H. Martin Michael W. Mahoney AI4CE 137 201 0 02 Oct 2018
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 376 2,720 0 12 Sep 2018
Overcoming the Curse of Dimensionality in Neural Networks Karen Yeressian 75 1 0 02 Sep 2018
Deep Learning for Energy Markets Michael Polson Vadim Sokolov AI4TS 58 27 0 16 Aug 2018
Collapse of Deep and Narrow Neural Nets Lu Lu Yanhui Su George Karniadakis ODL 96 156 0 15 Aug 2018
Generalization Error in Deep Learning Daniel Jakubovitz Raja Giryes M. Rodrigues AI4CE 237 111 0 03 Aug 2018
Geometry of energy landscapes and the optimizability of deep neural networks Simon Becker Yao Zhang A. Lee 46 30 0 01 Aug 2018
Deep Learning Nicholas G. Polson Vadim Sokolov AI4CE BDL 64 1 0 20 Jul 2018
Are Efficient Deep Representations Learnable? Maxwell Nye Andrew M. Saxe 53 24 0 17 Jul 2018
Exponential Convergence of the Deep Neural Network Approximation for Analytic Functions Weinan E Qingcan Wang 74 102 0 01 Jul 2018
Representational Power of ReLU Networks and Polynomial Kernels: Beyond Worst-Case Analysis Frederic Koehler Andrej Risteski 47 12 0 29 May 2018
Mean Field Theory of Activation Functions in Deep Neural Networks M. Milletarí Thiparat Chotibut P. E. Trevisanutto 30 4 0 22 May 2018
Deep learning generalizes because the parameter-function map is biased towards simple functions Guillermo Valle Pérez Chico Q. Camargo A. Louis MLT AI4CE 122 232 0 22 May 2018
Reducing Parameter Space for Neural Network Training Tong Qin Ling Zhou D. Xiu 35 6 0 22 May 2018
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 133 214 0 26 Apr 2018
Deep Learning for Predicting Asset Returns Guanhao Feng Jingyu He Nicholas G. Polson 56 58 0 25 Apr 2018
A comparison of deep networks with ReLU activation function and linear spline-type methods Konstantin Eckle Johannes Schmidt-Hieber 71 332 0 06 Apr 2018
Posterior Concentration for Sparse Deep Learning Nicholas G. Polson Veronika Rockova UQCV BDL 183 90 0 24 Mar 2018
The emergent algebraic structure of RNNs and embeddings in NLP Sean A. Cantrell 43 2 0 07 Mar 2018
Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions Quynh N. Nguyen Mahesh Chandra Mukkamala Matthias Hein MLT 109 56 0 28 Feb 2018
Theory of Deep Learning IIb: Optimization Properties of SGD Chiyuan Zhang Q. Liao Alexander Rakhlin Brando Miranda Noah Golowich T. Poggio ODL 75 71 0 07 Jan 2018
Lower bounds over Boolean inputs for deep neural networks with ReLU gates Anirbit Mukherjee A. Basu 89 21 0 08 Nov 2017
Optimization Landscape and Expressivity of Deep CNNs Quynh N. Nguyen Matthias Hein 101 29 0 30 Oct 2017
Generalization in Deep Learning Kenji Kawaguchi L. Kaelbling Yoshua Bengio ODL 181 460 0 16 Oct 2017
Optimal approximation of piecewise smooth functions using deep ReLU neural networks P. Petersen Felix Voigtländer 230 476 0 15 Sep 2017
$Machine learning \& artificial intelligence in the quantum domain$ Machine learning \& artificial intelligence in the quantum domain Vedran Dunjko Hans J. Briegel 79 347 0 08 Sep 2017
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives A. Cichocki Anh-Huy Phan Qibin Zhao Namgil Lee Ivan Oseledets Masashi Sugiyama Danilo P. Mandic 74 300 0 30 Aug 2017
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 244 817 0 22 Aug 2017
Expert and Non-Expert Opinion about Technological Unemployment T. Walsh 58 102 0 21 Jun 2017
Neural networks and rational functions Matus Telgarsky 82 82 0 11 Jun 2017
The power of deeper networks for expressing natural functions David Rolnick Max Tegmark 170 174 0 16 May 2017
Theory II: Landscape of the Empirical Risk in Deep Learning Q. Liao Tomaso Poggio 12 0 0 28 Mar 2017
Depth Creates No Bad Local Minima Haihao Lu Kenji Kawaguchi ODL FAtt 102 121 0 27 Feb 2017
McKernel: A Library for Approximate Kernel Expansions in Log-linear Time J. Curtò I. Zarza Feng Yang Alex Smola Fernando de la Torre Chong Wah Ngo Luc van Gool 69 3 0 27 Feb 2017
Equivalence of restricted Boltzmann machines and tensor network states Martín Arjovsky Song Cheng Haidong Xie Léon Bottou Tao Xiang 109 225 0 17 Jan 2017
Models, networks and algorithmic complexity G. Ruffini 8 6 0 13 Dec 2016
Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks Itay Safran Ohad Shamir 90 175 0 31 Oct 2016