Deep Learning in Neural Networks: An Overview

30 April 2014

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

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Title
Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion Yuanyuan Yuan Qi Pang Shuai Wang 43 22 0 03 Dec 2021
NEORL: NeuroEvolution Optimization with Reinforcement Learning M. Radaideh Katelin Du Paul Seurin Devin Seyler Xubo Gu Haijiang Wang K. Shirvan OffRL 34 6 0 01 Dec 2021
Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis Ali Bou Nassif A. Darya A. Elnagar 39 23 0 01 Dec 2021
A Graph Deep Learning Framework for High-Level Synthesis Design Space Exploration Lorenzo Ferretti Andrea Cini Georgios Zacharopoulos Cesare Alippi L. Pozzi 32 4 0 29 Nov 2021
Going Grayscale: The Road to Understanding and Improving Unlearnable Examples Zhuoran Liu Zhengyu Zhao A. Kolmus Tijn Berns Twan van Laarhoven Tom Heskes Martha Larson AAML 41 6 0 25 Nov 2021
BioLeaF: A Bio-plausible Learning Framework for Training of Spiking Neural Networks Yukun Yang Peng Li 29 3 0 14 Nov 2021
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities Indranil Pan L. Mason Omar K. Matar AI4CE 44 45 0 07 Nov 2021
Dynamic Data Augmentation with Gating Networks for Time Series Recognition Daisuke Oba Shinnosuke Matsuo Brian Kenji Iwana AI4TS 26 1 0 05 Nov 2021
Binary classification of proteins by a Machine Learning approach Damiano Perri Marco Simonetti A. Lombardi N. F. Lago O. Gervasi 25 14 0 03 Nov 2021
On Similarity L. D. F. Costa 17 80 0 02 Nov 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 24 306 0 01 Nov 2021
Minimum Description Length Recurrent Neural Networks Nur Lan Michal Geyer Emmanuel Chemla Roni Katzir 21 13 0 31 Oct 2021
Convolutional Deep Exponential Families Chengkuan Hong C. Shelton 18 0 0 27 Oct 2021
Explainable, automated urban interventions to improve pedestrian and vehicle safety Cristina Bustos Daniel Rhoads Albert Solé-Ribalta David Masip Alexandre Arenas Àgata Lapedriza Javier Borge-Holthoefer 26 27 0 22 Oct 2021
Classification of PS and ABS Black Plastics for WEEE Recycling Applications A. Persson Xiaoning Du Mingze Ni 13 1 0 20 Oct 2021
A Deep Generative Approach to Conditional Sampling Xingyu Zhou Yuling Jiao Jin Liu Jian Huang 12 41 0 19 Oct 2021
Further Generalizations of the Jaccard Index L. D. F. Costa 11 103 0 18 Oct 2021
Analysis of the first Genetic Engineering Attribution Challenge O. Crook K. L. Warmbrod G. Lipstein Christine Chung Christopher W. Bakerlee ... Shelly R. Holland Jacob Swett K. Esvelt E. C. Alley W. Bradshaw 21 9 0 14 Oct 2021
Data-driven approaches for predicting spread of infectious diseases through DINNs: Disease Informed Neural Networks Sagi Shaier M. Raissi P. Seshaiyer PINN AI4CE 21 25 0 11 Oct 2021
Ship Performance Monitoring using Machine-learning Prateek Gupta Adil Rasheed S. Steen 11 39 0 07 Oct 2021
Geometric and Physical Quantities Improve E(3) Equivariant Message Passing Johannes Brandstetter Rob D. Hesselink Elise van der Pol Erik J. Bekkers Max Welling 44 231 0 06 Oct 2021
Two-level monotonic multistage recommender systems Ben Dai Xiaotong Shen Wei Pan 16 1 0 06 Oct 2021
Turing approximations, toric isometric embeddings & manifold convolutions P. Suárez-Serrato 26 1 0 05 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 47 650 0 05 Oct 2021
The Artificial Intelligence behind the winning entry to the 2019 AI Robotic Racing Competition Christophe De Wagter Federico Paredes-Valles N. Sheth Guido de Croon 28 18 0 30 Sep 2021
Physics and Equality Constrained Artificial Neural Networks: Application to Forward and Inverse Problems with Multi-fidelity Data Fusion S. Basir Inanc Senocak PINN AI4CE 34 68 0 30 Sep 2021
Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook M. G. Olsen K. Halvorsen Lei Jiao Kristian Muri Knausgård A. H. Martin M. Moyano Rebekah A. Oomen J. H. Rasmussen T. K. Sørdalen Susanna Huneide Thorbjørnsen 22 27 0 29 Sep 2021
Frequency Disentangled Residual Network S. Singh Roshan Reddy Yedla S. Dubey R. Sanodiya Wei Chu 27 4 0 26 Sep 2021
Enhancing Clinical Information Extraction with Transferred Contextual Embeddings Zimin Wan Chenchen Xu H. Suominen 26 0 0 15 Sep 2021
Cross-lingual Transfer for Text Classification with Dictionary-based Heterogeneous Graph Nuttapong Chairatanakul Noppayut Sriwatanasakdi Nontawat Charoenphakdee Xin Liu T. Murata 26 4 0 09 Sep 2021
Capturing the objects of vision with neural networks B. Peters N. Kriegeskorte OCL 33 56 0 07 Sep 2021
Dash: Semi-Supervised Learning with Dynamic Thresholding Yi Tian Xu Lei Shang Jinxing Ye Qi Qian Yu-Feng Li Baigui Sun Hao Li Rong Jin 47 218 0 01 Sep 2021
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods Tobias Alt Karl Schrader Joachim Weickert Pascal Peter M. Augustin 30 4 0 31 Aug 2021
Energy time series forecasting-Analytical and empirical assessment of conventional and machine learning models Hala Hamdoun A. Sagheer Hassan A. Youness AI4TS 23 9 0 24 Aug 2021
FRUGAL: Unlocking SSL for Software Analytics Huy Tu Tim Menzies 16 14 0 22 Aug 2021
Using Large Pre-Trained Models with Cross-Modal Attention for Multi-Modal Emotion Recognition Krishna D N Freshworks 29 11 0 22 Aug 2021
FoodLogoDet-1500: A Dataset for Large-Scale Food Logo Detection via Multi-Scale Feature Decoupling Network Qiang Hou Weiqing Min Jing Wang Sujuan Hou Yuanjie Zheng Shuqiang Jiang 28 23 0 10 Aug 2021
Deep Convolutional Neural Network for Low Projection SPECT Imaging Reconstruction C. Chrysostomou L. Koutsantonis Christos Lemesios C. Papanicolas 3DV 19 2 0 09 Aug 2021
How to avoid machine learning pitfalls: a guide for academic researchers M. Lones VLM FaML OnRL 62 77 0 05 Aug 2021
Nonperturbative renormalization for the neural network-QFT correspondence Harold Erbin Vincent Lahoche D. O. Samary 43 30 0 03 Aug 2021
A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation Peizhi Wu Gao Cong OOD 21 64 0 26 Jul 2021
Geometric Deep Learning on Molecular Representations Kenneth Atz F. Grisoni G. Schneider AI4CE 48 289 0 26 Jul 2021
An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem Bingjie Li Guohua Wu Yongming He Mingfeng Fan Witold Pedrycz 64 68 0 15 Jul 2021
Pairing Conceptual Modeling with Machine Learning W. Maass V. Storey HAI 27 33 0 27 Jun 2021
Mitigating severe over-parameterization in deep convolutional neural networks through forced feature abstraction and compression with an entropy-based heuristic Nidhi Gowdra R. Sinha Stephen G. MacDonell W. Yan 21 9 0 27 Jun 2021
Multi-Modal 3D Object Detection in Autonomous Driving: a Survey Yingjie Wang Qi Mao Hanqi Zhu Jiajun Deng Yu Zhang Jianmin Ji Houqiang Li Yanyong Zhang 3DPC 48 139 0 24 Jun 2021
Recent Deep Semi-supervised Learning Approaches and Related Works Gyeongho Kim SSL 15 10 0 22 Jun 2021
Approximation capabilities of measure-preserving neural networks Aiqing Zhu Pengzhan Jin Yifa Tang 34 8 0 21 Jun 2021
Estimating the Robustness of Public Transport Systems Using Machine Learning M. Müller-Hannemann Ralf Rückert Alexander Schiewe A. Schöbel OOD 11 3 0 10 Jun 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs Mohammad Malekzadeh Anastasia Borovykh Deniz Gündüz MIACV 26 42 0 25 May 2021