Self-Normalizing Neural Networks

8 June 2017

Papers citing "Self-Normalizing Neural Networks"

50 / 866 papers shown

Title
Improved DeepFake Detection Using Whisper Features Piotr Kawa Marcin Plata Michał Czuba Piotr Szymañski P. Syga 18 36 0 02 Jun 2023
Prediction of Post-Operative Renal and Pulmonary Complications Using Transformers Reza Shirkavand Fei Zhang Heng-Chiao Huang MedIm AI4CE 17 0 0 01 Jun 2023
Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi FedML 36 0 0 29 May 2023
ASU-CNN: An Efficient Deep Architecture for Image Classification and Feature Visualizations J. Rahman Faiza Makhdoom D. Lu 19 3 0 28 May 2023
On the impact of activation and normalization in obtaining isometric embeddings at initialization Amir Joudaki Hadi Daneshmand Francis R. Bach 13 9 0 28 May 2023
Incomplete Multimodal Learning for Complex Brain Disorders Prediction Reza Shirkavand Liang Zhan Heng-Chiao Huang Li Shen Paul M. Thompson 11 3 0 25 May 2023
Dive into the Power of Neuronal Heterogeneity Guobin Shen Dongcheng Zhao Yiting Dong Yang Li Yi Zeng 26 2 0 19 May 2023
Learning Likelihood Ratios with Neural Network Classifiers Shahzar Rizvi M. Pettee Benjamin Nachman 11 14 0 17 May 2023
Lp- and Risk Consistency of Localized SVMs Hannes Köhler 13 0 0 16 May 2023
Vocal Style Factorization for Effective Speaker Recognition in Affective Scenarios Morgan Sandler Arun Ross CVBM 18 0 0 13 May 2023
A stable deep adversarial learning approach for geological facies generation F. Bhavsar N. Desassis F. Ors T. Romary GAN AI4CE 14 2 0 12 May 2023
TaLU: A Hybrid Activation Function Combining Tanh and Rectified Linear Unit to Enhance Neural Networks M. Hasan Md. Ali Hossain Azmain Yakin Srizon Abu Sayeed 12 0 0 08 May 2023
Expand-and-Cluster: Parameter Recovery of Neural Networks Flavio Martinelli Berfin Simsek W. Gerstner Johanni Brea 26 4 0 25 Apr 2023
Context-enriched molecule representations improve few-shot drug discovery Johannes Schimunek Philipp Seidl Lukas Friedrich Daniel Kuhn F. Rippmann Sepp Hochreiter G. Klambauer 47 26 0 24 Apr 2023
The Disharmony between BN and ReLU Causes Gradient Explosion, but is Offset by the Correlation between Activations Inyoung Paik Jaesik Choi 13 0 0 23 Apr 2023
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey J. Zhong Zheng Liu Xiangshan Chen ViT 44 17 0 21 Apr 2023
Learn to Cluster Faces with Better Subgraphs Yuan Cao Di Jiang Guanqun Hou Fan Deng Xinjiao Chen Qiang Yang CVBM 11 0 0 21 Apr 2023
Amplifying Sine Unit: An Oscillatory Activation Function for Deep Neural Networks to Recover Nonlinear Oscillations Efficiently J. Rahman Faiza Makhdoom D. Lu 19 7 0 18 Apr 2023
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees Sina Sajadmanesh D. Gática-Pérez 27 15 0 18 Apr 2023
Magnitude Invariant Parametrizations Improve Hypernetwork Learning Jose Javier Gonzalez Ortiz John Guttag Adrian V. Dalca 31 7 0 15 Apr 2023
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction Guillaume Jaume Anurag J. Vaidya Richard J. Chen Drew F. K. Williamson Paul Pu Liang Faisal Mahmood 39 41 0 13 Apr 2023
Neural Network Algorithm for Intercepting Targets Moving Along Known Trajectories by a Dubins' Car Ivan Nasonov A. Galyaev Andrey V. Medvedev 17 0 0 12 Apr 2023
Bayesian optimization for sparse neural networks with trainable activation functions M. Fakhfakh Lotfi Chaari 10 2 0 10 Apr 2023
ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable Transformation Xiaoming Zhao Xingming Wu Weihai Chen Peter C. Y. Chen Qingsong Xu Zhengguo Li 30 73 0 07 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 30 40 0 07 Apr 2023
Beyond Multilayer Perceptrons: Investigating Complex Topologies in Neural Networks T. Boccato Matteo Ferrante A. Duggento N. Toschi 28 2 0 31 Mar 2023
Function Approximation with Randomly Initialized Neural Networks for Approximate Model Reference Adaptive Control Tyler Lekang Andrew G. Lamperski 10 0 0 28 Mar 2023
Multi-Task Reinforcement Learning in Continuous Control with Successor Feature-Based Concurrent Composition Y. Liu Aamir Ahmad 29 4 0 24 Mar 2023
Unit Scaling: Out-of-the-Box Low-Precision Training Charlie Blake Douglas Orr Carlo Luschi MQ 22 7 0 20 Mar 2023
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning T. Kanazawa Chetan Gupta 24 0 0 15 Mar 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy Natalia Ponomareva Hussein Hazimeh Alexey Kurakin Zheng Xu Carson E. Denison H. B. McMahan Sergei Vassilvitskii Steve Chien Abhradeep Thakurta 94 167 0 01 Mar 2023
Toward Robust Uncertainty Estimation with Random Activation Functions Y. Stoyanova Soroush Ghandi M. Tavakol UQCV 21 2 0 28 Feb 2023
Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and width Dayal Singh Kalra M. Barkeshli 15 9 0 23 Feb 2023
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework Paul Pu Liang Yun Cheng Xiang Fan Chun Kai Ling Suzanne Nie ... Nicholas B. Allen Randy P. Auerbach Faisal Mahmood Ruslan Salakhutdinov Louis-Philippe Morency 35 29 0 23 Feb 2023
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review Arman Asgharpoor Golroudbari M. Sabour 16 19 0 22 Feb 2023
On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis Daniel Felipe Ordoñez Apraez Mario Martin Antonio Agudo Francesc Moreno-Noguer AI4CE 32 11 0 21 Feb 2023
Transformed Distribution Matching for Missing Value Imputation He Zhao Ke Sun Amir Dezfouli Edwin V. Bonilla 34 19 0 20 Feb 2023
Kernel function impact on convolutional neural networks M. Amine Mahmoudi A. Chetouani Fatma Boufera Hedi Tabia FAtt 18 4 0 20 Feb 2023
Forecasting Pressure Of Ventilator Using A Hybrid Deep Learning Model Built With Bi-LSTM and Bi-GRU To Simulate Ventilation Md. Jafril Alam Jakaria Rabbi S. Ahamed 8 4 0 19 Feb 2023
From paintbrush to pixel: A review of deep neural networks in AI-generated art Anne-Sofie Maerten Derya Soydaner 37 23 0 14 Feb 2023
Hyperspectral Image Super Resolution with Real Unaligned RGB Guidance Zeqiang Lai Ying Fu Jun Zhang 18 11 0 13 Feb 2023
Disentangling Learning Representations with Density Estimation Eric C. Yeats Frank Liu Hai Helen Li BDL DRL CML 38 2 0 08 Feb 2023
On the Ideal Number of Groups for Isometric Gradient Propagation Bum Jun Kim Hyeyeon Choi Hyeonah Jang Sang Woo Kim 13 1 0 07 Feb 2023
U-Clip: On-Average Unbiased Stochastic Gradient Clipping Bryn Elesedy Marcus Hutter 11 1 0 06 Feb 2023
Pre-screening breast cancer with machine learning and deep learning Rolando Gonzales Martinez Daan-Max van Dongen 8 3 0 05 Feb 2023
A neural operator-based surrogate solver for free-form electromagnetic inverse design Yannick Augenstein T. Repän C. Rockstuhl AI4CE 22 28 0 04 Feb 2023
Improving and generalizing flow-based generative models with minibatch optimal transport Alexander Tong Kilian Fatras Nikolay Malkin G. Huguet Yanlei Zhang Jarrid Rector-Brooks Guy Wolf Yoshua Bengio OOD DiffM OT 39 231 0 01 Feb 2023
TrojanSAINT: Gate-Level Netlist Sampling-Based Inductive Learning for Hardware Trojan Detection Hazem Lashen Lilas Alrahis J. Knechtel Ozgur Sinanoglu 17 11 0 27 Jan 2023
Modality-Agnostic Variational Compression of Implicit Neural Representations Jonathan Richard Schwarz Jihoon Tack Yee Whye Teh Jaeho Lee Jinwoo Shin 28 25 0 23 Jan 2023
Empirical study of the modulus as activation function in computer vision applications Iván Vallés-Pérez E. Soria-Olivas M. Martínez-Sober Antonio J. Serrano Joan Vila-Francés J. Gómez-Sanchís 11 15 0 15 Jan 2023