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Understanding Deep Neural Networks with Rectified Linear Units

4 November 2016

Papers citing "Understanding Deep Neural Networks with Rectified Linear Units"

50 / 199 papers shown

Title
Neural Star Domain as Primitive Representation Yuki Kawana Yusuke Mukuta Tatsuya Harada 3DV 64 25 0 21 Oct 2020
Learning to Embed Categorical Features without Embedding Tables for Recommendation Wang-Cheng Kang D. Cheng Tiansheng Yao Xinyang Yi Ting-Li Chen Lichan Hong Ed H. Chi LMTD CML DML 108 72 0 21 Oct 2020
Stationary Activations for Uncertainty Calibration in Deep Learning Lassi Meronen Christabella Irwanto Arno Solin UQCV BDL 54 19 0 19 Oct 2020
An Approximation Algorithm for Optimal Subarchitecture Extraction Adrian de Wynter 75 1 0 16 Oct 2020
Depth-Width Trade-offs for Neural Networks via Topological Entropy Kaifeng Bu Yaobo Zhang Qingxian Luo 52 8 0 15 Oct 2020
Effects of the Nonlinearity in Activation Functions on the Performance of Deep Learning Models N. Kulathunga N. R. Ranasinghe D. Vrinceanu Zackary Kinsman Lei Huang Yunjiao Wang 18 5 0 14 Oct 2020
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence Agustinus Kristiadi Matthias Hein Philipp Hennig BDL 63 9 0 06 Oct 2020
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks Keyulu Xu Mozhi Zhang Jingling Li S. Du Ken-ichi Kawarabayashi Stefanie Jegelka MLT 184 313 0 24 Sep 2020
Learning to associate detections for real-time multiple object tracking Michel C. Meneses L. Matos Bruno O. Prado André C. P. L. F. de Carvalho Hendrik T. Macedo VOT 115 5 0 12 Jul 2020
Expressivity of Deep Neural Networks Ingo Gühring Mones Raslan Gitta Kutyniok 97 51 0 09 Jul 2020
ConFoc: Content-Focus Protection Against Trojan Attacks on Neural Networks Miguel Villarreal-Vasquez B. Bhargava AAML 98 39 0 01 Jul 2020
Interpreting and Disentangling Feature Components of Various Complexity from DNNs Jie Ren Mingjie Li Zexu Liu Quanshi Zhang CoGe 77 18 0 29 Jun 2020
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks Francesco Croce Maksym Andriushchenko Naman D. Singh Nicolas Flammarion Matthias Hein 105 101 0 23 Jun 2020
Analytical Probability Distributions and EM-Learning for Deep Generative Networks Randall Balestriero Sébastien Paris Richard G. Baraniuk UQCV DRL 55 1 0 17 Jun 2020
Approximating Lipschitz continuous functions with GroupSort neural networks Ugo Tanielian Maxime Sangnier Gérard Biau 82 39 0 09 Jun 2020
On the Number of Linear Regions of Convolutional Neural Networks Huan Xiong Lei Huang Mengyang Yu Li Liu Fan Zhu Ling Shao MLT 83 68 0 01 Jun 2020
Provably Good Solutions to the Knapsack Problem via Neural Networks of Bounded Size Christoph Hertrich M. Skutella 99 22 0 28 May 2020
Hierarchical Decomposition of Nonlinear Dynamics and Control for System Identification and Policy Distillation Hany Abdulsamad Jan Peters 8 9 0 04 May 2020
Rethink the Connections among Generalization, Memorization and the Spectral Bias of DNNs Xiao Zhang Haoyi Xiong Dongrui Wu 98 12 0 29 Apr 2020
Universal Function Approximation on Graphs Rickard Brüel-Gabrielsson 59 6 0 14 Mar 2020
Better Depth-Width Trade-offs for Neural Networks through the lens of Dynamical Systems Vaggos Chatziafratis Sai Ganesh Nagarajan Ioannis Panageas 59 15 0 02 Mar 2020
Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks Mert Pilanci Tolga Ergen 101 118 0 24 Feb 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 90 290 0 24 Feb 2020
On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective Motasem Alfarra Adel Bibi Hasan Hammoud M. Gaafar Guohao Li 71 26 0 20 Feb 2020
A closer look at the approximation capabilities of neural networks Kai Fong Ernest Chong 39 16 0 16 Feb 2020
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets Gauthier Gidel David Balduzzi Wojciech M. Czarnecki M. Garnelo Yoram Bachrach 89 7 0 14 Feb 2020
On Approximation Capabilities of ReLU Activation and Softmax Output Layer in Neural Networks Behnam Asadi Hui Jiang 68 20 0 10 Feb 2020
A Deep Conditioning Treatment of Neural Networks Naman Agarwal Pranjal Awasthi Satyen Kale AI4CE 115 16 0 04 Feb 2020
Sharp Rate of Convergence for Deep Neural Network Classifiers under the Teacher-Student Setting Tianyang Hu Zuofeng Shang Guang Cheng 123 19 0 19 Jan 2020
Deep Neural Networks with Trainable Activations and Controlled Lipschitz Constant Shayan Aziznejad Harshit Gupta Joaquim Campos M. Unser 75 36 0 17 Jan 2020
Unsupervised Learning of the Set of Local Maxima Lior Wolf Sagie Benaim Tomer Galanti SSL 43 7 0 14 Jan 2020
Empirical Studies on the Properties of Linear Regions in Deep Neural Networks Xiao Zhang Dongrui Wu 58 38 0 04 Jan 2020
Lossless Compression of Deep Neural Networks Thiago Serra Abhinav Kumar Srikumar Ramalingam 106 57 0 01 Jan 2020
An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants Siqi Zhou Angela P. Schoellig 44 12 0 24 Dec 2019
Chart Auto-Encoders for Manifold Structured Data Stefan C. Schonsheck Jie Chen Rongjie Lai DRL GNN 44 29 0 20 Dec 2019
Almost Uniform Sampling From Neural Networks Changlong Wu N. Santhanam 27 0 0 10 Dec 2019
Robust Training and Initialization of Deep Neural Networks: An Adaptive Basis Viewpoint E. Cyr Mamikon A. Gulian Ravi G. Patel M. Perego N. Trask 104 72 0 10 Dec 2019
Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem Vaggos Chatziafratis Sai Ganesh Nagarajan Ioannis Panageas Tianlin Li 65 21 0 09 Dec 2019
Deep Ritz revisited Johannes Müller Marius Zeinhofer 86 26 0 09 Dec 2019
Variational Physics-Informed Neural Networks For Solving Partial Differential Equations E. Kharazmi Z. Zhang George Karniadakis 98 246 0 27 Nov 2019
SAL: Sign Agnostic Learning of Shapes from Raw Data Matan Atzmon Y. Lipman 3DPC FedML 170 514 0 23 Nov 2019
Deep least-squares methods: an unsupervised learning-based numerical method for solving elliptic PDEs Z. Cai Jingshuang Chen Min Liu Xinyu Liu 97 91 0 05 Nov 2019
Deep Learning for MIMO Channel Estimation: Interpretation, Performance, and Comparison Qiang Hu Feifei Gao Hao Zhang Shi Jin Geoffrey Ye Li 36 10 0 05 Nov 2019
AReN: Assured ReLU NN Architecture for Model Predictive Control of LTI Systems James Ferlez Yasser Shoukry 49 17 0 05 Nov 2019
Large Scale Model Predictive Control with Neural Networks and Primal Active Sets Steven W. Chen Tianyu Wang Nikolay Atanasov Vijay Kumar M. Morari 90 93 0 23 Oct 2019
Universal Approximation with Certified Networks Maximilian Baader M. Mirman Martin Vechev 74 22 0 30 Sep 2019
Optimal Function Approximation with Relu Neural Networks Bo Liu Yi Liang 57 33 0 09 Sep 2019
PowerNet: Efficient Representations of Polynomials and Smooth Functions by Deep Neural Networks with Rectified Power Units Bo Li Shanshan Tang Haijun Yu 41 20 0 09 Sep 2019
Information-Theoretic Lower Bounds for Compressive Sensing with Generative Models Zhaoqiang Liu Jonathan Scarlett 107 41 0 28 Aug 2019
Efficient Detection and Quantification of Timing Leaks with Neural Networks Saeid Tizpaz-Niari Pavol Cerný S. Sankaranarayanan Ashutosh Trivedi 26 4 0 23 Jul 2019