Deep Learning at the Edge

Deep Learning at the Edge

22 October 2019

Jason G. Wallace

Papers citing "Deep Learning at the Edge"

14 / 14 papers shown

Title
Convex Distillation: Efficient Compression of Deep Networks via Convex Optimization Prateek Varshney Mert Pilanci 43 0 0 09 Oct 2024
Decoding the Alphabet Soup of Degrees in the United States Postsecondary Education System Through Hybrid Method: Database and Text Mining Sahar Voghoei James E. Byars John A. Miller Khaled Rasheed Hamid Arabnia 16 2 0 06 Sep 2023
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems Yeshwanth Venkatesha Youngeun Kim Hyoungseob Park Priyadarshini Panda FedML 21 4 0 11 May 2023
Continual Learning for Affective Robotics: A Proof of Concept for Wellbeing Nikhil Churamani Minja Axelsson Atahan Caldir Hatice Gunes 24 23 0 22 Jun 2022
A Review of Deep Transfer Learning and Recent Advancements Mohammadreza Iman Khaled Rasheed H. Arabnia 20 354 0 19 Jan 2022
Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs Wamiq Raza Anas Osman F. Ferrini F. D. De Natale 27 29 0 30 Nov 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 30 87 0 04 May 2021
A Brief Review of Domain Adaptation Abolfazl Farahani Sahar Voghoei Khaled Rasheed H. Arabnia OOD 36 527 0 07 Oct 2020
DeepMSRF: A novel Deep Multimodal Speaker Recognition framework with Feature selection Ehsan Asali Farzan Shenavarmasouleh F. Mohammadi P. Suresh H. Arabnia 20 19 0 14 Jul 2020
On Parameter Tuning in Meta-learning for Computer Vision F. Mohammadi M. Amini H. Arabnia 16 13 0 11 Feb 2020
Machine Learning at the Network Edge: A Survey M. G. Sarwar Murshed Chris Murphy Daqing Hou Nazar Khan Ganesh Ananthanarayanan Faraz Hussain 38 378 0 31 Jul 2019
ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network Chaoyun Zhang Xi Ouyang P. Patras 43 68 0 07 Nov 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015