Self-Normalizing Neural Networks

8 June 2017

Papers citing "Self-Normalizing Neural Networks"

50 / 867 papers shown

Title
The effect of Target Normalization and Momentum on Dying ReLU Isac Arnekvist J. Carvalho Danica Kragic J. A. Stork 6 16 0 13 May 2020
Normalized Convolutional Neural Network Dongsuk Kim Geonhee Lee Myungjae Lee S. Kang Dongmin Kim 23 1 0 11 May 2020
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics Da Yin Tao Meng Kai-Wei Chang 13 138 0 08 May 2020
Model Reduction and Neural Networks for Parametric PDEs K. Bhattacharya Bamdad Hosseini Nikola B. Kovachki Andrew M. Stuart 16 318 0 07 May 2020
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible Transformations Tomás Pevný Václav Smídl Martin Trapp Ondrej Polácek T. Oberhuber TPM 14 8 0 04 May 2020
A Position Aware Decay Weighted Network for Aspect based Sentiment Analysis Avinash Madasu Anvesh Rao Vijjini 9 2 0 03 May 2020
BlackBox: Generalizable Reconstruction of Extremal Values from Incomplete Spatio-Temporal Data T. Ivek Domagoj Vlah 48 4 0 30 Apr 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection Alexey Bochkovskiy Chien-Yao Wang H. Liao VLM ObjD 63 12,055 0 23 Apr 2020
Spectrally Consistent UNet for High Fidelity Image Transformations Demetris Marnerides Thomas Bashford-Rogers Kurt Debattista 6 4 0 22 Apr 2020
Recommendation system using a deep learning and graph analysis approach Mahdi Kherad Amir Jalaly Bidgoly GNN 8 15 0 17 Apr 2020
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation Linda Wang M. Famouri A. Wong MDE 6 7 0 17 Apr 2020
Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings? Lukasz Augustyniak Piotr Szymañski Mikolaj Morzy Piotr Żelasko Adrian Szymczak Jan Mizgajski Yishay Carmiel Najim Dehak KELM 6 7 0 13 Apr 2020
Attribute-based Regularization of Latent Spaces for Variational Auto-Encoders Ashis Pati Alexander Lerch DRL 21 3 0 11 Apr 2020
Evolving Normalization-Activation Layers Hanxiao Liu Andrew Brock Karen Simonyan Quoc V. Le 17 79 0 06 Apr 2020
Rational neural networks Nicolas Boullé Y. Nakatsukasa Alex Townsend 12 79 0 04 Apr 2020
Learning medical triage from clinicians using Deep Q-Learning A. Buchard Baptiste Bouvier G. Prando R. Beard Michail Livieratos ... Yuanzhao Zhang Adam Baker Yura N. Perov Kostis Gourgoulias Saurabh Johri OffRL 24 3 0 28 Mar 2020
Improved Techniques for Training Single-Image GANs Tobias Hinz Matthew Fisher Oliver Wang S. Wermter GAN VLM 12 144 0 25 Mar 2020
Dynamic ReLU Yinpeng Chen Xiyang Dai Mengchen Liu Dongdong Chen Lu Yuan Zicheng Liu 177 162 0 22 Mar 2020
TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks Xinyu Liu Xiaoguang Di 27 59 0 22 Mar 2020
Inverse design of multilayer nanoparticles using artificial neural networks and genetic algorithm Cankun Qiu Zhi Luo Xia Wu Huidong Yang Bo Huang 6 3 0 16 Mar 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data Nick Erickson Jonas W. Mueller Alexander Shirkov Hang Zhang Pedro Larroy Mu Li Alex Smola LMTD 97 607 0 13 Mar 2020
Mass Estimation of Galaxy Clusters with Deep Learning I: Sunyaev-Zel'dovich Effect N. Gupta C. Reichardt 12 14 0 13 Mar 2020
Extended Batch Normalization Chunjie Luo Jianfeng Zhan Lei Wang Wanling Gao 4 14 0 12 Mar 2020
Improving the Backpropagation Algorithm with Consequentialism Weight Updates over Mini-Batches Naeem Paeedeh Kamaledin Ghiasi-Shirazi ODL 9 8 0 11 Mar 2020
ReZero is All You Need: Fast Convergence at Large Depth Thomas C. Bachlechner Bodhisattwa Prasad Majumder H. H. Mao G. Cottrell Julian McAuley AI4CE 19 276 0 10 Mar 2020
Neural Enhanced Belief Propagation on Factor Graphs Victor Garcia Satorras Max Welling 30 95 0 04 Mar 2020
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning? Keita Ota Tomoaki Oiki Devesh K. Jha T. Mariyama D. Nikovski OffRL 21 40 0 03 Mar 2020
Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees Aleksei Triastcyn Boi Faltings 12 5 0 02 Mar 2020
Soft-Root-Sign Activation Function Yuan Zhou Dandan Li Shuwei Huo S. Kung ODL 25 25 0 01 Mar 2020
Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization Karim Huesmann Soeren Klemm Lars Linsen Benjamin Risse 6 2 0 21 Feb 2020
The Benefits of Pairwise Discriminators for Adversarial Training Shangyuan Tong T. Garipov Tommi Jaakkola 21 0 0 20 Feb 2020
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite Networks Russell Tsuchida Tim Pearce Christopher van der Heide Fred Roosta M. Gallagher 6 8 0 20 Feb 2020
MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images M. Steininger Konstantin Kobs Albin Zehe Florian Lautenschlager Martin Becker Andreas Hotho 18 11 0 18 Feb 2020
The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version Abram Magner Mayank Baranwal Alfred Hero GNN 17 13 0 13 Feb 2020
Sentiment Analysis Using Averaged Weighted Word Vector Features Ali Erkan Tunga Güngör 6 3 0 13 Feb 2020
Feature Importance Estimation with Self-Attention Networks Blaž Škrlj S. Džeroski Nada Lavrac Matej Petković FAtt MILM 34 51 0 11 Feb 2020
Goldilocks Neural Networks Jan Rosenzweig Zoran Cvetkovic I. Rosenzweig 9 1 0 11 Feb 2020
A Deep Conditioning Treatment of Neural Networks Naman Agarwal Pranjal Awasthi Satyen Kale AI4CE 25 15 0 04 Feb 2020
Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling Yunjae Jung Dahun Kim Sanghyun Woo Kyungsu Kim Sungjin Kim In So Kweon DiffM 8 31 0 03 Feb 2020
Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks Chi Nok Enoch Kan Najibakram Maheenaboobacker Dong Hye Ye GAN MedIm 4 8 0 31 Jan 2020
Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classified Takuma Shibahara Chisa Wada Yasuho Yamashita Kazuhiro A. Fujita Masamichi Sato Junichi Kuwata Atsushi Okamoto Yoshimasa Ono 26 7 0 20 Jan 2020
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning Wilhelm Kirchgässner Oliver Wallscheid J. Böcker 20 68 0 17 Jan 2020
Restricting the Flow: Information Bottlenecks for Attribution Karl Schulz Leon Sixt Federico Tombari Tim Landgraf FAtt 14 182 0 02 Jan 2020
A Comprehensive and Modularized Statistical Framework for Gradient Norm Equality in Deep Neural Networks Zhaodong Chen Lei Deng Bangyan Wang Guoqi Li Yuan Xie 35 28 0 01 Jan 2020
Scalable NAS with Factorizable Architectural Parameters Lanfei Wang Lingxi Xie Tianyi Zhang Jun Guo Qi Tian 30 3 0 31 Dec 2019
Seek and You Will Find: A New Optimized Framework for Efficient Detection of Pedestrian Sudip Das P. Mukherjee Ujjwal Bhattacharya 14 1 0 21 Dec 2019
Dynamic Prediction of ICU Mortality Risk Using Domain Adaptation Tiago Alves Alberto H. F. Laender Adriano Veloso N. Ziviani OOD 8 40 0 20 Dec 2019
Group-Connected Multilayer Perceptron Networks Mohammad Kachuee Sajad Darabi Shayan Fazeli Majid Sarrafzadeh AI4CE 17 1 0 20 Dec 2019
Discriminative Sentence Modeling for Story Ending Prediction Yiming Cui Wanxiang Che Weinan Zhang Ting Liu Shijin Wang Guoping Hu 17 14 0 19 Dec 2019
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis Richard J. Chen Ming Y. Lu Jingwen Wang Drew F. K. Williamson S. Rodig N. Lindeman Faisal Mahmood 19 399 0 18 Dec 2019