Self-Normalizing Neural Networks

8 June 2017

Papers citing "Self-Normalizing Neural Networks"

50 / 867 papers shown

Title
Convolutional Dictionary Pair Learning Network for Image Representation Learning Zhao Zhang Yulin Sun Yang Wang Zhengjun Zha Shuicheng Yan Meng Wang 25 6 0 17 Dec 2019
Sparsely Grouped Input Variables for Neural Networks Beibin Li Nicholas Nuechterlein E. Barney C. Hudac P. Ventola Linda G. Shapiro Frederick Shic 14 1 0 29 Nov 2019
CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning Daojian Zeng Haoran Zhang Qianying Liu 11 189 0 24 Nov 2019
Cross-modal representation alignment of molecular structure and perturbation-induced transcriptional profiles S. G. Finlayson Matthew B. A. McDermott Alex V. Pickering S. Lipnick I. Kohane 11 1 0 22 Nov 2019
Approximated Orthonormal Normalisation in Training Neural Networks Guoqiang Zhang Kenta Niwa W. Kleijn 11 3 0 21 Nov 2019
Survival and Neural Models for Private Equity Exit Prediction G. Calafiore M. H. Morales Vittorio Tiozzo Giulia Fracastoro Serge Marquié 7 2 0 19 Nov 2019
Understanding and Improving Layer Normalization Jingjing Xu Xu Sun Zhiyuan Zhang Guangxiang Zhao Junyang Lin FAtt 18 340 0 16 Nov 2019
Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images S. Kimeswenger Elisabeth Rumetshofer M. Hofmarcher P. Tschandl Harald Kittler Sepp Hochreiter W. Hötzenecker G. Klambauer MedIm 28 5 0 14 Nov 2019
Privacy and Utility Preserving Sensor-Data Transformations Mohammad Malekzadeh R. Clegg Andrea Cavallaro Hamed Haddadi 20 32 0 14 Nov 2019
SynSig2Vec: Learning Representations from Synthetic Dynamic Signatures for Real-world Verification Songxuan Lai Lianwen Jin Luojun Lin Yecheng Zhu Huiyun Mao 14 30 0 13 Nov 2019
MERIT: Tensor Transform for Memory-Efficient Vision Processing on Parallel Architectures Yu-Sheng Lin Wei-Chao Chen Shao-Yi Chien 22 4 0 07 Nov 2019
Fundamental Limits of Deep Graph Convolutional Networks Abram Magner Mayank Baranwal Alfred Hero GNN 25 7 0 28 Oct 2019
CXPlain: Causal Explanations for Model Interpretation under Uncertainty Patrick Schwab W. Karlen FAtt CML 40 205 0 27 Oct 2019
Inherent Weight Normalization in Stochastic Neural Networks Georgios Detorakis S. Dutta A. Khanna M. Jerry S. Datta Emre Neftci OOD 17 6 0 27 Oct 2019
L*ReLU: Piece-wise Linear Activation Functions for Deep Fine-grained Visual Categorization Mina Basirat P. Roth 16 8 0 27 Oct 2019
Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait Imanne El Maâchi Guillaume-Alexandre Bilodeau W. Bouachir 6 196 0 25 Oct 2019
Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement Zhiwu Huang D. Paudel Guanju Li Jiqing Wu Radu Timofte Luc Van Gool 19 4 0 23 Oct 2019
Privacy-preserving Federated Bayesian Learning of a Generative Model for Imbalanced Classification of Clinical Data S. Hahn Junghye Lee FedML 9 5 0 18 Oct 2019
Semi-Supervised Variational Autoencoder for Survival Prediction Sveinn Pálsson Stefano Cerri Andrea Dittadi Koen van Leemput DRL 27 5 0 10 Oct 2019
SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units for speech recognition Atanas G. Atanasov Tim Ng Leo Liu Henry Mason Xiaodan Zhuang Daben Liu 13 40 0 04 Oct 2019
Farkas layers: don't shift the data, fix the geometry Aram-Alexandre Pooladian Chris Finlay Adam M. Oberman AI4CE 11 1 0 04 Oct 2019
Stacked Autoencoder Based Deep Random Vector Functional Link Neural Network for Classification Rakesh Katuwal Ponnuthurai Nagaratnam Suganthan 14 95 0 04 Oct 2019
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN Maik Ender Pawel Swierczynski Paul Almasan Paul Martin Knopp A. Cabellos-Aparicio GNN 25 241 0 03 Oct 2019
Overparameterized Neural Networks Implement Associative Memory Adityanarayanan Radhakrishnan M. Belkin Caroline Uhler BDL 35 71 0 26 Sep 2019
Genetic Neural Architecture Search for automatic assessment of human sperm images Erfan Miahi Seyed Abolghasem Mirroshandel Alexis Nasr 19 29 0 20 Sep 2019
Argumentative Relation Classification as Plausibility Ranking Juri Opitz 11 15 0 19 Sep 2019
Scalable Gaussian Process Classification with Additive Noise for Various Likelihoods Haitao Liu Yew-Soon Ong Ziwei Yu Jianfei Cai Xiaobo Shen 16 3 0 14 Sep 2019
Shapley Interpretation and Activation in Neural Networks Yadong Li Xin Cui TDI FAtt LLMSV 17 3 0 13 Sep 2019
Unsupervised Learning and Exploration of Reachable Outcome Space Giuseppe Paolo Alban Laflaquière Alexandre Coninx Stéphane Doncieux 24 36 0 12 Sep 2019
diffGrad: An Optimization Method for Convolutional Neural Networks S. Dubey Soumendu Chakraborty Swalpa Kumar Roy Snehasis Mukherjee S. Singh B. B. Chaudhuri ODL 97 184 0 12 Sep 2019
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model D. Gagne H. Christensen A. Subramanian A. Monahan AI4CE BDL 44 139 0 10 Sep 2019
Differential Equation Units: Learning Functional Forms of Activation Functions from Data MohamadAli Torkamani Shiv Shankar Pedram Rooshenas Phillip Wallis 16 2 0 06 Sep 2019
Approaching Machine Learning Fairness through Adversarial Network Xiaoqian Wang Heng-Chiao Huang FaML 19 8 0 06 Sep 2019
Unsupervised Clustering of Quantitative Imaging Phenotypes using Autoencoder and Gaussian Mixture Model Jianan Chen L. Milot H. Cheung Anne L. Martel 9 12 0 06 Sep 2019
Bandwidth Embeddings for Mixed-bandwidth Speech Recognition G. Mantena Ozlem Kalinli Ossama Abdel-Hamid Don McAllaster 8 4 0 05 Sep 2019
A Sensitivity Analysis of Attention-Gated Convolutional Neural Networks for Sentence Classification Yang Liu Jianpeng Zhang Chao Gao Jinghua Qu Lixin Ji 27 3 0 17 Aug 2019
Effect of Activation Functions on the Training of Overparametrized Neural Nets A. Panigrahi Abhishek Shetty Navin Goyal 11 20 0 16 Aug 2019
Deep learning for Plankton and Coral Classification A. Lumini L. Nanni Gianluca Maguolo 6 66 0 15 Aug 2019
Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks Yang Liu Jianpeng Zhang Chao Gao Jinghua Qu Lixin Ji FAtt 24 23 0 10 Aug 2019
Bayesian Inference for Large Scale Image Classification Jonathan Heek Nal Kalchbrenner UQCV BDL 15 33 0 09 Aug 2019
Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations Andras Rozsa Terrance E. Boult AAML 27 18 0 07 Aug 2019
High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction Stefan Lattner M. Grachten 13 33 0 02 Aug 2019
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels Lukas Galke Florian Mai Iacopo Vagliano A. Scherp 16 26 0 22 Jul 2019
A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera H. Pham H. Salmane L. Khoudour Alain Crouzil Pablo Zegers S. Velastín 21 46 0 16 Jul 2019
Meta-Learning for Black-box Optimization T. Vishnu Pankaj Malhotra Jyoti Narwariya L. Vig Gautam M. Shroff 16 18 0 16 Jul 2019
Quant GANs: Deep Generation of Financial Time Series Magnus Wiese R. Knobloch R. Korn Peter Kretschmer GAN AI4TS AIFin 27 273 0 15 Jul 2019
Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data Simao Eduardo A. Nazábal Christopher K. I. Williams Charles Sutton DRL 16 32 0 15 Jul 2019
Order and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary Artifacts Arthur Jacot Franck Gabriel François Ged Clément Hongler 16 23 0 11 Jul 2019
Learning to Traverse Latent Spaces for Musical Score Inpainting Ashis Pati Alexander Lerch Gaëtan Hadjeres 22 54 0 02 Jul 2019
Merge and Label: A novel neural network architecture for nested NER Joseph Fisher Andreas Vlachos 14 71 0 30 Jun 2019