An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms

15 September 2019

Yang Liu

Papers citing "An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms"

21 / 21 papers shown

Title
A First Look at Deep Learning Apps on Smartphones Mengwei Xu Jiawei Liu Yuanqiang Liu F. Lin Yunxin Liu Xuanzhe Liu HAI 62 181 0 08 Nov 2018
Deep Learning Towards Mobile Applications Ji Wang Bokai Cao Philip S. Yu Lichao Sun Weidong Bao Xiaomin Zhu HAI 54 99 0 10 Sep 2018
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing Augustus Odena Ian Goodfellow AAML 57 321 0 28 Jul 2018
DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems Lei Ma Felix Juefei Xu Fuyuan Zhang Jiyuan Sun Minhui Xue ... Ting Su Li Li Yang Liu Jianjun Zhao Yadong Wang ELM 65 620 0 20 Mar 2018
Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models Wieland Brendel Jonas Rauber Matthias Bethge AAML 65 1,342 0 12 Dec 2017
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars Yuchi Tian Kexin Pei Suman Jana Baishakhi Ray AAML 59 1,356 0 28 Aug 2017
Foolbox: A Python toolbox to benchmark the robustness of machine learning models Jonas Rauber Wieland Brendel Matthias Bethge AAML 63 283 0 13 Jul 2017
Comparative Analysis of Open Source Frameworks for Machine Learning with Use Case in Single-Threaded and Multi-Threaded Modes Yuriy Kochura S. Stirenko A. Rojbi Oleg Alienin Michail Novotarskiy Yuri G. Gordienko VLM 47 28 0 07 Jun 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems Kexin Pei Yinzhi Cao Junfeng Yang Suman Jana AAML 82 1,361 0 18 May 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 299 1,860 0 03 Feb 2017
Benchmarking State-of-the-Art Deep Learning Software Tools Shaoshuai Shi Qiang-qiang Wang Pengfei Xu Xiaowen Chu BDL 54 329 0 25 Aug 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 224 8,533 0 16 Aug 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 402 18,334 0 27 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang 176 2,244 0 03 Dec 2015
Comparative Study of Deep Learning Software Frameworks S. Bahrampour Naveen Ramakrishnan Lukas Schott Mohak Shah 57 161 0 19 Nov 2015
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving Chenyi Chen Ari Seff A. Kornhauser Jianxiong Xiao 99 1,762 0 01 May 2015
LSTM: A Search Space Odyssey Klaus Greff R. Srivastava Jan Koutník Bas R. Steunebrink Jürgen Schmidhuber AI4TS VLM 112 5,288 0 13 Mar 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 231 19,017 0 20 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 465 12,680 0 11 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.3K 100,213 0 04 Sep 2014