Machine learning for intelligent mobile user interfaces using TensorFlow (original) (raw)

Machine learning with tensorflow for mobile and ubiquitous interaction

Huy Le

Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, 2017

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Deep learning on mobile devices: a review

Yunbin Deng

Mobile Multimedia/Image Processing, Security, and Applications 2019, 2019

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Deep Learning Pipeline for Image Classification on Mobile Phones

Computer Science & Information Technology (CS & IT) Computer Science Conference Proceedings (CSCP)

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Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices

Ajay Balasubramaniam

2021

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Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices

Jianfeng Zhan

arXiv (Cornell University), 2020

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Guidelines and Benchmarks for Deployment of Deep Learning Models on Smartphones as Real-Time Apps

Nasser Kehtarnavaz

Machine Learning and Knowledge Extraction, 2019

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On-Device Neural Net Inference with Mobile GPUs

Ekaterina Ignasheva

ArXiv, 2019

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TapNet: The Design, Training, Implementation, and Applications of a Multi-Task Learning CNN for Off-Screen Mobile Input

Shumin Zhai

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 2021

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Mobile Mind: A Fully Mobile Platform Based Machine Learning Application

Selman Bozkır

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NumPyCNNAndroid: A Library for Straightforward Implementation of Convolutional Neural Networks for Android Devices

Ahmed Fawzy Gad

2019 International Conference on Innovative Trends in Computer Engineering (ITCE), 2019

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Complexity of Deep Convolutional Neural Networks in Mobile Computing

Saad NAeem

Complexity, 2020

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IRJET- A Review on MobileNet, ResNet and SqueezeNet for iOS & iPadOS for on Device Training and Prediction using CoreML

IRJET Journal

IRJET, 2021

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Efficient mobilenet architecture as image recognition on mobile and embedded devices

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Indonesian Journal of Electrical Engineering and Computer Science, 2019

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MLPerf Mobile Inference Benchmark: Why Mobile AI Benchmarking Is Hard and What to Do About It

Koan-Sin Tan

2020

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A framework for developing Neural Networks based mobile appliances

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The 2010 International Joint Conference on Neural Networks (IJCNN), 2010

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DeepRebirth: Accelerating Deep Neural Network Execution on Mobile Devices

Deguang Kong

ArXiv, 2018

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MLPerf Mobile Inference Benchmark

Mostafa El-khamy

arXiv (Cornell University), 2020

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JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services

Amir Erfan Eshratifar

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ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

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On-Device Machine Learning: An Algorithms and Learning Theory Perspective

Sauptik Dhar

2019

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TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Fernanda Viégas

2016

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Deep Machine Learning of MobileNet, Efficient, and Inception Models

Monika Rybczak

Algorithms, 2024

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A DNN-Based Application in Joint Mobile and Cloud Services Platform

Kazi Shahiduzzaman

IJARCCE, 2020

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A Lightweight Collaborative Deep Neural Network for the Mobile Web in Edge Cloud

Schahram Dustdar

IEEE Transactions on Mobile Computing

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Production of Mobile English Language Teaching Application Based on Text Interface Using Deep Learning

Jinmo Kim

Electronics

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Deep Learning Frameworks Evaluation for Image Classification on Resource Constrained Device

Computer Science & Information Technology (CS & IT) Computer Science Conference Proceedings (CSCP)

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MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices

Ibsa Jalata

2018

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