Self-Normalizing Neural Networks

8 June 2017

Papers citing "Self-Normalizing Neural Networks"

50 / 867 papers shown

Title
Pixel-wise Anomaly Detection in Complex Driving Scenes Giancarlo Di Biase Hermann Blum Roland Siegwart Cesar Cadena UQCV 13 153 0 09 Mar 2021
Disentangling Geometric Deformation Spaces in Generative Latent Shape Models Tristan Aumentado-Armstrong Stavros Tsogkas Sven J. Dickinson Allan D. Jepson OCL DRL 28 6 0 27 Feb 2021
Layer-Wise Interpretation of Deep Neural Networks Using Identity Initialization Shohei Kubota Hideaki Hayashi Tomohiro Hayase S. Uchida MILM AI4CE 22 1 0 26 Feb 2021
Do Transformer Modifications Transfer Across Implementations and Applications? Sharan Narang Hyung Won Chung Yi Tay W. Fedus Thibault Févry ... Wei Li Nan Ding Jake Marcus Adam Roberts Colin Raffel 33 126 0 23 Feb 2021
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu Guoqiang Zhang Kenta Niwa 22 8 0 20 Feb 2021
Muddling Labels for Regularization, a novel approach to generalization Karim Lounici Katia Méziani Benjamin Riu OOD 8 1 0 17 Feb 2021
MAIN: Multihead-Attention Imputation Networks Spyridon Mouselinos Kyriakos Polymenakos A. Nikitakis K. Kyriakopoulos 20 3 0 10 Feb 2021
Hyperparameter Optimization with Differentiable Metafeatures H. Jomaa Lars Schmidt-Thieme Josif Grabocka AI4CE 27 3 0 07 Feb 2021
Copula-based conformal prediction for Multi-Target Regression S. Messoudi Sebastien Destercke Sylvain Rousseau 16 44 0 28 Jan 2021
Equilibrium Learning in Combinatorial Auctions: Computing Approximate Bayesian Nash Equilibria via Pseudogradient Dynamics Stefan Heidekrüger P. Sutterer Nils Kohring Maximilian Fichtl M. Bichler 19 5 0 28 Jan 2021
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory R. Abbasi M. Ackermann J. Adams J. Aguilar M. Ahlers ... Zifei Shan J. Yáñez S. Yoshida T. Yuan Zhe Zhang 49 47 0 27 Jan 2021
Activation Functions in Artificial Neural Networks: A Systematic Overview Johannes Lederer FAtt AI4CE 32 46 0 25 Jan 2021
Characterizing signal propagation to close the performance gap in unnormalized ResNets Andrew Brock Soham De Samuel L. Smith 34 120 0 21 Jan 2021
The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions Xingyi Li Wenxuan Wu Xiaoli Z. Fern Li Fuxin 3DPC 30 4 0 19 Jan 2021
MC-LSTM: Mass-Conserving LSTM Pieter-Jan Hoedt Frederik Kratzert D. Klotz Christina Halmich Markus Holzleitner G. Nearing Sepp Hochreiter Günter Klambauer 15 59 0 13 Jan 2021
DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning Olakunle Ibitoye M. O. Shafiq Ashraf Matrawy FedML 28 18 0 08 Jan 2021
Reconstructing Patchy Reionization with Deep Learning E. Guzman Joel Meyers 30 5 0 04 Jan 2021
Detecting Road Obstacles by Erasing Them Krzysztof Lis S. Honari Pascal Fua Mathieu Salzmann UQCV 21 44 0 25 Dec 2020
Early Indicators of Scientific Impact: Predicting Citations with Altmetrics A. Akella Hamed Alhoori Pavan Ravikanth Kondamudi Cole Freeman Haiming Zhou 9 62 0 25 Dec 2020
Sensitivity - Local Index to Control Chaoticity or Gradient Globally - K. Shibata Takuya Ejima Yuki Tokumaru Toshitaka Matsuki 27 4 0 24 Dec 2020
Image Translation via Fine-grained Knowledge Transfer Xuanhong Chen Ziang Liu Ting Qiu Bingbing Ni Naiyuan Liu Xiwei Hu Yuhan Li 24 0 0 21 Dec 2020
NeuralQAAD: An Efficient Differentiable Framework for High Resolution Point Cloud Compression Nicolas Wagner Ulrich Schwanecke 3DPC 14 0 0 15 Dec 2020
TabTransformer: Tabular Data Modeling Using Contextual Embeddings Xin Huang A. Khetan Milan Cvitkovic Zohar Karnin ViT LMTD 157 420 0 11 Dec 2020
Frame-level SpecAugment for Deep Convolutional Neural Networks in Hybrid ASR Systems Xinwei Li Yuanyuan Zhang Xiaodan Zhuang Daben Liu 6 6 0 07 Dec 2020
Generative Adversarial User Privacy in Lossy Single-Server Information Retrieval Chung-Wei Weng Yauhen Yakimenka Hsuan-Yin Lin E. Rosnes Joerg Kliewer 38 3 0 07 Dec 2020
Handling Object Symmetries in CNN-based Pose Estimation Jesse Richter-Klug Udo Frese 30 11 0 26 Nov 2020
DeepTriage: Automated Transfer Assistance for Incidents in Cloud Services P. Pham Vivek Jain Lukas Dauterman Justin Ormont Navendu Jain 18 10 0 25 Nov 2020
Comparisons among different stochastic selection of activation layers for convolutional neural networks for healthcare L. Nanni A. Lumini Stefano Ghidoni Gianluca Maguolo 9 2 0 24 Nov 2020
Low PAPR waveform design for OFDM SYSTEM based on Convolutional Auto-Encoder Yara Huleihel Eilam Ben-Dror Haim Permuter 8 7 0 12 Nov 2020
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study Veysel Kocaman O. M. Shir Thomas Bäck 26 4 0 12 Nov 2020
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing Zhenzhi Wu Hehui Zhang Yihan Lin Guoqi Li Meng Wang Ye Tang AI4TS 16 102 0 12 Nov 2020
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems Pooja Gupta Angshul Majumdar Emilie Chouzenoux Giovanni Chierchia AI4TS 22 7 0 09 Nov 2020
DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion Framework Pooja Gupta Jyoti Maggu A. Majumdar Émilie Chouzenoux Giovanni Chierchia 22 12 0 09 Nov 2020
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis Pooja Gupta Jyoti Maggu A. Majumdar Émilie Chouzenoux Giovanni Chierchia AI4TS 25 2 0 09 Nov 2020
Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services Yuan Wang Chenwei Wang Yinan Ling Keita Yokoyama Hsin-Tai Wu Yi Fang 14 2 0 06 Nov 2020
Parametric Flatten-T Swish: An Adaptive Non-linear Activation Function For Deep Learning Hock Hung Chieng Noorhaniza Wahid P. Ong 21 6 0 06 Nov 2020
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning Simon Ging Mohammadreza Zolfaghari Hamed Pirsiavash Thomas Brox ViT CLIP 31 169 0 01 Nov 2020
Estimating Multiplicative Relations in Neural Networks Bhaavan Goel 11 0 0 28 Oct 2020
Multi-Class Zero-Shot Learning for Artistic Material Recognition Alexander W. Olson Andreea Cucu Tom Bock 26 1 0 26 Oct 2020
Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modeling James Lu B. Bender Jin Y. Jin Y. Guan 31 46 0 22 Oct 2020
Complex data labeling with deep learning methods: Lessons from fisheries acoustics J. M. Sarr T. Brochier P. Brehmer Y. Perrot A. Bah Abdoulaye Sarré M. A. Jeyid M. Sidibeh S. E. Ayoubi 26 13 0 21 Oct 2020
Smooth activations and reproducibility in deep networks G. Shamir Dong Lin Lorenzo Coviello 22 22 0 20 Oct 2020
QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics Luca Parisi D. Neagu R. Ma F. Campean MedIm 8 48 0 15 Oct 2020
Multi-Agent Trust Region Policy Optimization Hepeng Li Haibo He 21 40 0 15 Oct 2020
EnCoD: Distinguishing Compressed and Encrypted File Fragments Fabio De Gaspari Dorjan Hitaj Giulio Pagnotta Lorenzo De Carli L. Mancini 30 18 0 15 Oct 2020
Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting Adam D. Cobb Brian Jalaian BDL 22 73 0 14 Oct 2020
Error-guided likelihood-free MCMC Volodimir Begy Erich Schikuta 25 3 0 13 Oct 2020
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings Elliot Meyerson Risto Miikkulainen 25 12 0 05 Oct 2020
On the Universality of the Double Descent Peak in Ridgeless Regression David Holzmüller 14 12 0 05 Oct 2020
Normalization Techniques in Training DNNs: Methodology, Analysis and Application Lei Huang Jie Qin Yi Zhou Fan Zhu Li Liu Ling Shao AI4CE 12 255 0 27 Sep 2020