Deep Learning in Neural Networks: An Overview

30 April 2014

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

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Title
A Survey of Natural Language Generation Techniques with a Focus on Dialogue Systems - Past, Present and Future Directions Sashank Santhanam Samira Shaikh 3DV 31 52 0 02 Jun 2019
Modeling Theory of Mind in Multi-Agent Games Using Adaptive Feedback Control Ismael T. Freire X. Arsiwalla J. Puigbò P. Verschure AI4CE 24 14 0 29 May 2019
Vehicle Detection in Deep Learning Yao Xiao 15 3 0 29 May 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune 17 116 0 27 May 2019
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma Yucheng Zhang Edrise M. Lobo-Mueller P. Karanicolas S. Gallinger M. Haider Farzad Khalvati MedIm 21 10 0 23 May 2019
Constrained Design of Deep Iris Networks Kien Nguyen Clinton Fookes Sridha Sridharan CVBM 3DV 13 19 0 23 May 2019
Evolving neural networks to follow trajectories of arbitrary complexity Benjamin Inden Jürgen Jost 10 0 0 21 May 2019
Approximating the Ideal Observer and Hotelling Observer for binary signal detection tasks by use of supervised learning methods Weimin Zhou Hua Li M. Anastasio 27 65 0 15 May 2019
Similarity Grouping-Guided Neural Network Modeling for Maritime Time Series Prediction Yan Li R. W. Liu Zhao Liu Jingxian Liu AI4TS 21 24 0 13 May 2019
A Personalized Affective Memory Neural Model for Improving Emotion Recognition Pablo V. A. Barros G. I. Parisi S. Wermter 34 15 0 23 Apr 2019
EmbraceNet: A robust deep learning architecture for multimodal classification Jun-Ho Choi Jong-Seok Lee 29 123 0 19 Apr 2019
Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control Chen Liang Weihong Wang Zhenghua Liu Chao Lai Benchun Zhou 19 28 0 15 Apr 2019
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data A. Tiulpin S. Klein S. Bierma-Zeinstra J. Thevenot Esa Rahtu J. Meurs E. H. Oei S. Saarakkala AI4CE 33 198 0 12 Apr 2019
A review on Neural Turing Machine Soroor Malekmohamadi Faradonbe Faramarz Safi Esfahani AI4CE 29 6 0 10 Apr 2019
PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images Anirban Santara Jayeeta Datta S. Sarkar Ankur Garg K. Padia Pabitra Mitra 24 1 0 09 Apr 2019
Eigenvalue distribution of nonlinear models of random matrices L. Benigni Sandrine Péché 25 27 0 05 Apr 2019
Progressive Stochastic Binarization of Deep Networks David Hartmann Michael Wand MQ 17 1 0 03 Apr 2019
Richness of Deep Echo State Network Dynamics Claudio Gallicchio Alessio Micheli 13 18 0 12 Mar 2019
Deep Learning in Medical Image Registration: A Survey Grant Haskins Uwe Krüger Pingkun Yan MedIm 26 585 0 05 Mar 2019
Deep Learning Based Motion Planning For Autonomous Vehicle Using Spatiotemporal LSTM Network Zhengwei Bai B. Cai Shangguan Wei Linguo Chai 14 26 0 05 Mar 2019
Classification via local manifold approximation Didong Li David B. Dunson 9 6 0 03 Mar 2019
Weakly Labelled AudioSet Tagging with Attention Neural Networks Qiuqiang Kong Changsong Yu Turab Iqbal Yong-mei Xu Wenwu Wang Mark D. Plumbley NoLa 24 78 0 02 Mar 2019
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification Renlong Hang Qingshan Liu Danfeng Hong Pedram Ghamisi 16 630 0 28 Feb 2019
Biologically plausible deep learning -- but how far can we go with shallow networks? Bernd Illing W. Gerstner Johanni Brea 30 94 0 27 Feb 2019
A framework for information extraction from tables in biomedical literature Nikola Milosevic C. Gregson Robert Hernandez Goran Nenadic LMTD 11 50 0 26 Feb 2019
Convolutional Neural Networks for Automatic Meter Reading Rayson Laroca Victor A. N. Barroso M. A. Diniz G. Gonçalves William Robson Schwartz David Menotti 13 69 0 25 Feb 2019
Adaptive Estimators Show Information Compression in Deep Neural Networks Ivan Chelombiev Conor J. Houghton Cian O’Donnell 30 34 0 24 Feb 2019
Shallow Neural Networks for Fluid Flow Reconstruction with Limited Sensors N. Benjamin Erichson L. Mathelin Z. Yao Steven L. Brunton Michael W. Mahoney J. Nathan Kutz AI4CE 30 34 0 20 Feb 2019
Prediction of Porosity and Permeability Alteration based on Machine Learning Algorithms A. Erofeev D. Orlov Alexey Ryzhov D. Koroteev 18 93 0 18 Feb 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module Tiago Ramalho M. Garnelo BDL 33 77 0 07 Feb 2019
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification Blaž Škrlj Matej Martinc Jan Kralj Nada Lavrac Senja Pollak 27 44 0 01 Feb 2019
Combining Physically-Based Modeling and Deep Learning for Fusing GRACE Satellite Data: Can We Learn from Mismatch? A. Sun B. Scanlon Zizhan Zhang David Walling S. Bhanja A. Mukherjee Zhi Zhong AI4Cl 14 141 0 31 Jan 2019
On Intra-Class Variance for Deep Learning of Classifiers Rafal Pilarczyk W. Skarbek 21 11 0 31 Jan 2019
Error Feedback Fixes SignSGD and other Gradient Compression Schemes Sai Praneeth Karimireddy Quentin Rebjock Sebastian U. Stich Martin Jaggi 27 493 0 28 Jan 2019
Efficient Toxicity Prediction via Simple Features Using Shallow Neural Networks and Decision Trees Abdul Karim Avinash Mishra M. A. Hakim Newton A. Sattar 21 55 0 26 Jan 2019
Flexible Operator Embeddings via Deep Learning Ryan Marcus Olga Papaemmanouil 6 4 0 25 Jan 2019
Meta-Learning Mean Functions for Gaussian Processes Vincent Fortuin Heiko Strathmann Gunnar Rätsch BDL FedML MLT 24 29 0 23 Jan 2019
Evolving the pulmonary nodules diagnosis from classical approaches to deep learning aided decision support: three decades development course and future prospect Bo Liu Wenhao Chi Xinran Li Peng Li W. Liang Haiping Liu Wei Wang Jianxing He 24 69 0 23 Jan 2019
The Oracle of DLphi Dominik Alfke W. Baines J. Blechschmidt Mauricio J. del Razo Sarmina Amnon Drory ... L. Thesing Philipp Trunschke Johannes von Lindheim David Weber Melanie Weber 39 0 0 17 Jan 2019
Assessment of central serous chorioretinopathy (CSC) depicted on color fundus photographs using deep Learning Yi Zhen Hang Chen Xu Zhang Meng Liu Xin Meng Jian Zhang J. Pu 22 15 0 14 Jan 2019
Improving Coordination in Small-Scale Multi-Agent Deep Reinforcement Learning through Memory-driven Communication E. Pesce Giovanni Montana 17 72 0 12 Jan 2019
Creative AI Through Evolutionary Computation Risto Miikkulainen 30 18 0 12 Jan 2019
Deep Learning for Anomaly Detection: A Survey Raghavendra Chalapathy Sanjay Chawla AI4TS 41 1,479 0 10 Jan 2019
Deep Learning for Human Affect Recognition: Insights and New Developments Philipp V. Rouast M. Adam R. Chiong 35 167 0 09 Jan 2019
Using stigmergy as a computational memory in the design of recurrent neural networks Federico A. Galatolo M. G. Cimino G. Vaglini 13 3 0 09 Jan 2019
Visualising Basins of Attraction for the Cross-Entropy and the Squared Error Neural Network Loss Functions Anna Sergeevna Bosman A. Engelbrecht Mardé Helbig 27 76 0 08 Jan 2019
Comments on "Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?" Talha Cihad Gulcu Alper Gungor 25 2 0 08 Jan 2019
The capacity of feedforward neural networks Pierre Baldi Roman Vershynin 25 67 0 02 Jan 2019
FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review Ahmad Shawahna S. M. Sait A. El-Maleh 28 372 0 01 Jan 2019
Privacy-Preserving Collaborative Deep Learning with Unreliable Participants Lingchen Zhao Qian Wang Qin Zou Yan Zhang Yanjiao Chen FedML 18 9 0 25 Dec 2018