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 Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs Elaheh Jafarigol Theodore Trafalis 21 7 0 19 Oct 2023
From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport Quentin Bouniot I. Redko Anton Mallasto Charlotte Laclau Karol Arndt Oliver Struckmeier Markus Heinonen Ville Kyrki Samuel Kaski 64 2 0 17 Oct 2023
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation Xiang Liu Liangxi Liu Feiyang Ye Yunheng Shen Xia Li Linshan Jiang Jialin Li 36 4 0 30 Sep 2023
Breaking On-Chip Communication Anonymity using Flow Correlation Attacks Hansika Weerasena Prabhat Mishra 25 3 0 27 Sep 2023
Understanding Vector-Valued Neural Networks and Their Relationship with Real and Hypercomplex-Valued Neural Networks Marcos Eduardo Valle 24 3 0 14 Sep 2023
Experience and Prediction: A Metric of Hardness for a Novel Litmus Test Nicos Isaak Loizos Michael 41 3 0 05 Sep 2023
Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI Dustin Wright Christian Igel Gabrielle Samuel Raghavendra Selvan 35 15 0 05 Sep 2023
Multitask Deep Learning for Accurate Risk Stratification and Prediction of Next Steps for Coronary CT Angiography Patients Juan Lu Bennamoun J. Stewart J. Eshraghian Yanbin Liu B. Chow Frank M. Sanfilippo Girish Dwivedi OOD 30 1 0 01 Sep 2023
Deep neural network improves the estimation of polygenic risk scores for breast cancer Adrien Badré Li Zhang W. Muchero Justin C Reynolds Chongle Pan 22 47 0 24 Jul 2023
A Survey From Distributed Machine Learning to Distributed Deep Learning Mohammad Dehghani Zahra Yazdanparast 26 0 0 11 Jul 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions Peng Yan Ahmed Abdulkadir Paul-Philipp Luley Matthias Rosenthal Gerrit A. Schatte Benjamin Grewe Thilo Stadelmann AI4TS 36 59 0 11 Jul 2023
Addressing Discontinuous Root-Finding for Subsequent Differentiability in Machine Learning, Inverse Problems, and Control Dan Johnson Ronald Fedkiw AI4CE 31 2 0 21 Jun 2023
Exploring the Effectiveness of Dataset Synthesis: An application of Apple Detection in Orchards A. V. Meekeren Maya Aghaei K. Dijkstra DiffM 26 1 0 20 Jun 2023
Deep Huber quantile regression networks Hristos Tyralis Georgia Papacharalampous N. Dogulu Kwok-Pan Chun UQCV 47 1 0 17 Jun 2023
AI-Supported Assessment of Load Safety Julius Schöning Niklas Kruse 22 0 0 06 Jun 2023
A Transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics Hong-Yu Zhou Yizhou Yu Chengdi Wang Shu Zhen Zhang Yuanxu Gao Jia-Yu Pan Jun Shao Guangming Lu Kang Zhang Weimin Li MedIm 27 150 0 01 Jun 2023
Nonparametric Identifiability of Causal Representations from Unknown Interventions Julius von Kügelgen M. Besserve Wendong Liang Luigi Gresele Armin Kekić Elias Bareinboim David M. Blei Bernhard Schölkopf CML 23 57 0 01 Jun 2023
Intelligent gradient amplification for deep neural networks S. Basodi K. Pusuluri Xueli Xiao Yi Pan ODL 21 1 0 29 May 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? Felix Wichmann Robert Geirhos 32 25 0 26 May 2023
Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods Junchi Yang Xiang Li Ilyas Fatkhullin Niao He 42 15 0 21 May 2023
SPP-CNN: An Efficient Framework for Network Robustness Prediction Chengpei Wu Yang Lou Lin Wang Junli Li Xiang Li Guanrong Chen AAML 15 9 0 13 May 2023
Compressing Neural Networks Using Tensor Networks with Exponentially Fewer Variational Parameters Yong Qing Ke Li P. Zhou Shi-Ju Ran 29 6 0 10 May 2023
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 94 33 0 29 Apr 2023
Smart Learning to Find Dumb Contracts (Extended Version) Tamer Abdelaziz Aquinas Hobor 28 5 0 21 Apr 2023
A Survey on Deep Neural Network Partition over Cloud, Edge and End Devices Di Xu Xiang He Tonghua Su Zhongjie Wang 23 6 0 20 Apr 2023
A Bibliometric Review of Neuromorphic Computing and Spiking Neural Networks Nicholas J. Pritchard A. Wicenec Bennamoun Richard Dodson 26 0 0 14 Apr 2023
Global Prompt Cell: A Portable Control Module for Effective Prompt Tuning Chi-Liang Liu Hao Wang Nuwa Xi Sendong Zhao Bing Qin VLM 21 1 0 12 Apr 2023
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations Qiqi Duan Chang Shao Guochen Zhou Hao Yang Qi Zhao Yuhui Shi 25 4 0 11 Apr 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 46 6 0 06 Apr 2023
Evolving Artificial Neural Networks To Imitate Human Behaviour In Shinobi III : Return of the Ninja Master Maximilien Le Clei 21 0 0 03 Apr 2023
Online Distillation with Continual Learning for Cyclic Domain Shifts Joachim Houyon A. Cioppa Yasir Ghunaim Motasem Alfarra Anaïs Halin Maxim Henry Guohao Li Marc Van Droogenbroeck CLL 29 8 0 03 Apr 2023
Ensemble Learning of Myocardial Displacements for Myocardial Infarction Detection in Echocardiography N. Tuan Phi D. Nguyen D. Tran H. Pham Quang-Minh Nguyen ... P. Tran Vinh-Tuyen T Le T. Nguyen Long Tran Hieu H. Pham 49 4 0 12 Mar 2023
Causal Deep Learning Jeroen Berrevoets Krzysztof Kacprzyk Zhaozhi Qian M. Schaar CML AI4CE 21 25 0 03 Mar 2023
Auxiliary Task-based Deep Reinforcement Learning for Quantum Control Shumin Zhou Hailan Ma S. Kuang Daoyi Dong 29 5 0 28 Feb 2023
EvoTorch: Scalable Evolutionary Computation in Python N. E. Toklu Timothy James Atkinson Vojtvech Micka Paweł Liskowski R. Srivastava 22 12 0 24 Feb 2023
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review Arman Asgharpoor Golroudbari M. Sabour 20 20 0 22 Feb 2023
NU-AIR -- A Neuromorphic Urban Aerial Dataset for Detection and Localization of Pedestrians and Vehicles Craig Iaboni Thomas Kelly Pramod Abichandani 26 2 0 18 Feb 2023
On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters Wonyeol Lee Sejun Park A. Aiken PINN 21 6 0 31 Jan 2023
Lateralized Learning for Multi-Class Visual Classification Tasks Abubakar Siddique Will N. Browne Gina M. Grimshaw 31 2 0 30 Jan 2023
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices Yuji Chai Devashree Tripathy Chu Zhou Dibakar Gope Igor Fedorov Ramon Matas David Brooks Gu-Yeon Wei P. Whatmough GNN 37 4 0 26 Jan 2023
A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems Isabella Carla Gonnella M. Hess G. Stabile G. Rozza AI4CE 32 2 0 24 Jan 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Yu Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 58 19 0 22 Jan 2023
Safety Verification of Neural Network Control Systems Using Guaranteed Neural Network Model Reduction Weiming Xiang Zhongzhu Shao 23 3 0 17 Jan 2023
Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions Shradha Verma Tripti Goel Md. Iftekhar Tanveer Weiping Ding Rahul Sharma R. Murugan 19 20 0 16 Jan 2023
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning Huan Wang Can Qin Yue Bai Yun Fu 37 20 0 12 Jan 2023
Conformal Loss-Controlling Prediction Di Wang Pingping Wang Zhong Ji Xiaojun Yang Hongyue Li 34 1 0 06 Jan 2023
$Machine Learning technique for isotopic determination of radioisotopes using HPGe $\mathrmγ$-ray spectra$ Machine Learning technique for isotopic determination of radioisotopes using HPGe $\mathrmγ$ -ray spectra A. Khatiwada M. Klasky M. Lombardi J. Matheny A. Mohan 27 10 0 04 Jan 2023
Comparison of tree-based ensemble algorithms for merging satellite and earth-observed precipitation data at the daily time scale Georgia Papacharalampous Hristos Tyralis Anastasios Doulamis N. Doulamis 62 11 0 31 Dec 2022
Learning One Abstract Bit at a Time Through Self-Invented Experiments Encoded as Neural Networks Vincent Herrmann Louis Kirsch Jürgen Schmidhuber AI4CE 48 5 0 29 Dec 2022
GAE-ISumm: Unsupervised Graph-Based Summarization of Indian Languages Lakshmi Sireesha Vakada Anudeep Ch Mounika Marreddy S. Oota R. Mamidi 22 1 0 25 Dec 2022