Deep Learning in Neural Networks: An Overview

30 April 2014

Papers citing "Deep Learning in Neural Networks: An Overview"

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Title
Categorical Perception: A Groundwork for Deep Learning L. Bonnasse-Gahot Jean-Pierre Nadal 30 7 0 10 Dec 2020
Detection of Covid-19 Patients with Convolutional Neural Network Based Features on Multi-class X-ray Chest Images A. Narin 17 19 0 10 Dec 2020
A deep network approach to multitemporal cloud detection D. Tuia B. Kellenberger Adrián Pérez-Suay Gustau Camps-Valls 34 11 0 09 Dec 2020
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times Omer Dahary M. Jacoby A. Bronstein 19 5 0 08 Dec 2020
Sequence Generation using Deep Recurrent Networks and Embeddings: A study case in music Sebastian Garcia-Valencia Alejandro Betancourt Juan Guillermo Lalinde Pulido MGen 31 6 0 02 Dec 2020
A Study of Checkpointing in Large Scale Training of Deep Neural Networks Elvis Rojas A. Kahira Esteban Meneses L. Bautista-Gomez Rosa M. Badia 29 22 0 01 Dec 2020
Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images J. E. Arco A. Ortiz J. Ramírez Francisco J. Martínez-Murcia Yudong Zhang Juan M Gorriz UQCV 32 3 0 27 Nov 2020
Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning Hangyu Zhu Rui Wang Yaochu Jin K. Liang Jianting Ning FedML 35 46 0 25 Nov 2020
On Random Matrices Arising in Deep Neural Networks: General I.I.D. Case L. Pastur V. Slavin CML 24 12 0 20 Nov 2020
Deep Neural Networks using a Single Neuron: Folded-in-Time Architecture using Feedback-Modulated Delay Loops Florian Stelzer André Röhm Raul Vicente Ingo Fischer University of Tartu AI4CE 19 46 0 19 Nov 2020
Game Plan: What AI can do for Football, and What Football can do for AI K. Tuyls Shayegan Omidshafiei Paul Muller Zhe Wang Jerome T. Connor ... Simon Bouton Nathalie Beauguerlange Jackson Broshear T. Graepel Demis Hassabis 46 78 0 18 Nov 2020
Machine Learning Interpretability Meets TLS Fingerprinting Mahdi Jafari Siavoshani A. Khajehpour Amirmohammad Ziaei Bideh Amirali Gatmiri A. Taheri 34 2 0 12 Nov 2020
Decoupled Appearance and Motion Learning for Efficient Anomaly Detection in Surveillance Video Bo Li Sam Leroux Pieter Simoens 19 33 0 10 Nov 2020
Predicting Hydroxyl Mediated Nucleophilic Degradation and Molecular Stability of RNA Sequences through the Application of Deep Learning Methods Ankita Singhal 14 4 0 09 Nov 2020
Machine learning applications to DNA subsequence and restriction site analysis E. Moyer Anup Das 6 10 0 07 Nov 2020
Mixing Consistent Deep Clustering D. Lutscher Ali el Hassouni M. Stol Mark Hoogendoorn SSL 19 2 0 03 Nov 2020
Unsupervised Intrusion Detection System for Unmanned Aerial Vehicle with Less Labeling Effort Kyung Ho Park Eunji Park H. Kim 18 13 0 01 Nov 2020
C-Net: A Reliable Convolutional Neural Network for Biomedical Image Classification H. Barzekar Zeyun Yu 22 40 0 30 Oct 2020
BayCANN: Streamlining Bayesian Calibration with Artificial Neural Network Metamodeling Hawre Jalal F. Alarid-Escudero 6 14 0 26 Oct 2020
A Perspective on Machine Learning Methods in Turbulence Modelling Andrea Beck Marius Kurz AI4CE 49 101 0 23 Oct 2020
A ReLU Dense Layer to Improve the Performance of Neural Networks Alireza M. Javid Sandipan Das Mikael Skoglund S. Chatterjee 26 32 0 22 Oct 2020
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges Christoph Molnar Giuseppe Casalicchio B. Bischl AI4TS AI4CE 28 396 0 19 Oct 2020
A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models Ferhat Ozgur Catak Samed Sivaslioglu Kevser Sahinbas AAML 28 7 0 17 Oct 2020
Geometry matters: Exploring language examples at the decision boundary Debajyoti Datta Shashwat Kumar Laura E. Barnes Tom Fletcher AAML 20 3 0 14 Oct 2020
Machine Learning Force Fields Oliver T. Unke Stefan Chmiela H. E. Sauceda M. Gastegger I. Poltavsky Kristof T. Schütt A. Tkatchenko K. Müller AI4CE 36 891 0 14 Oct 2020
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp Günter Klambauer Sepp Hochreiter OOD 30 45 0 13 Oct 2020
Block-term Tensor Neural Networks Jinmian Ye Guangxi Li Di Chen Haiqin Yang Shandian Zhe Zenglin Xu 24 30 0 10 Oct 2020
Prediction intervals for Deep Neural Networks Tullio Mancini Hector F. Calvo-Pardo Jose Olmo UQCV OOD 28 4 0 08 Oct 2020
Global Optimization of Objective Functions Represented by ReLU Networks Christopher A. Strong Haoze Wu Aleksandar Zeljić Kyle D. Julian Guy Katz Clark W. Barrett Mykel J. Kochenderfer AAML 17 33 0 07 Oct 2020
How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text Chihiro Shibata Kei Uchiumi D. Mochihashi 22 7 0 01 Oct 2020
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases Gerhard Weikum Luna Dong Simon Razniewski Fabian M. Suchanek 40 125 0 24 Sep 2020
Early detection of the advanced persistent threat attack using performance analysis of deep learning Javad Hassannataj Joloudari Mojtaba Haderbadi Amir Mashmool Mohammad Ghasemigol Shahab S. Band Amir H. Mosavi 15 57 0 19 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 44 79 0 17 Sep 2020
Learning Hidden Patterns from Patient Multivariate Time Series Data Using Convolutional Neural Networks: A Case Study of Healthcare Cost Prediction M. Morid O. R. Sheng Kensaku Kawamoto S. Abdelrahman AI4TS 24 34 0 14 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 157 0 08 Sep 2020
Silent Speech Interfaces for Speech Restoration: A Review Jose Andres Gonzalez Lopez Alejandro Gomez-Alanis Juan M. Martín-Donas J. L. Pérez-Córdoba A. Gómez 37 85 0 04 Sep 2020
PlotThread: Creating Expressive Storyline Visualizations using Reinforcement Learning Tan Tang Renzhong Li Xinke Wu Shuhan Liu Johannes Knittel Steffen Koch Thomas Ertl Lingyun Yu Peiran Ren Yingcai Wu 41 52 0 01 Sep 2020
Towards Structured Prediction in Bioinformatics with Deep Learning Yu Li AI4CE 16 1 0 25 Aug 2020
Word meaning in minds and machines Brenden M. Lake G. Murphy NAI 15 117 0 04 Aug 2020
Hopfield Networks is All You Need Hubert Ramsauer Bernhard Schafl Johannes Lehner Philipp Seidl Michael Widrich ... David P. Kreil Michael K Kopp Günter Klambauer Johannes Brandstetter Sepp Hochreiter 24 416 0 16 Jul 2020
Deep Learning in Protein Structural Modeling and Design Wenhao Gao S. Mahajan Jeremias Sulam Jeffrey J. Gray 36 159 0 16 Jul 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks Gustav Sourek F. Železný Ondrej Kuzelka NAI 43 17 0 13 Jul 2020
Bayesian Neural Networks for Fast SUSY Predictions B. Kronheim M. Kuchera Harrison B. Prosper A. Karbo 19 17 0 09 Jul 2020
Distributed Training of Deep Learning Models: A Taxonomic Perspective M. Langer Zhen He W. Rahayu Yanbo Xue 30 76 0 08 Jul 2020
Drug discovery with explainable artificial intelligence José Jiménez-Luna F. Grisoni G. Schneider 30 627 0 01 Jul 2020
Digit Image Recognition Using an Ensemble of One-Versus-All Deep Network Classifiers A. M. Hafiz G. M. Bhat 18 4 0 28 Jun 2020
Layer Sparsity in Neural Networks Mohamed Hebiri Johannes Lederer 36 10 0 28 Jun 2020
Investor Emotions and Earnings Announcements Domonkos F. Vamossy AIFin 30 24 0 24 Jun 2020
Hermes Attack: Steal DNN Models with Lossless Inference Accuracy Yuankun Zhu Yueqiang Cheng Husheng Zhou Yantao Lu MIACV AAML 39 99 0 23 Jun 2020
Deep Polynomial Neural Networks Grigorios G. Chrysos Stylianos Moschoglou Giorgos Bouritsas Jiankang Deng Yannis Panagakis S. Zafeiriou 29 92 0 20 Jun 2020