Learning Transferable Architectures for Scalable Image Recognition

21 July 2017

Papers citing "Learning Transferable Architectures for Scalable Image Recognition"

24 / 874 papers shown

Title
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search Masanori Suganuma Mete Ozay Takayuki Okatani 22 87 0 01 Mar 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis Tal Ben-Nun Torsten Hoefler GNN 33 703 0 26 Feb 2018
3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning Hyeontaek Lim D. Andersen M. Kaminsky 18 70 0 21 Feb 2018
A Neural Multi-sequence Alignment TeCHnique (NeuMATCH) Pelin Dogan Boyang Albert Li Leonid Sigal Markus Gross AI4TS 30 19 0 19 Feb 2018
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet S. H. HasanPour Mohammad Rouhani Mohsen Fayyaz Mohammad Sabokrou Ehsan Adeli 50 45 0 17 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li-Jia Li Song Han 35 1,342 0 10 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 34 12,927 0 07 Feb 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures L. Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymyr Mnih ... Vlad Firoiu Tim Harley Iain Dunning Shane Legg Koray Kavukcuoglu 27 1,577 0 05 Feb 2018
Effective Building Block Design for Deep Convolutional Neural Networks using Search Jayanta K. Dutta Jiayi Liu Unmesh Kurup Mohak Shah 3DV 32 11 0 25 Jan 2018
High performance ultra-low-precision convolutions on mobile devices Andrew Tulloch Yangqing Jia HAI MQ 18 27 0 06 Dec 2017
Convolutional Networks with Adaptive Inference Graphs Andreas Veit Serge J. Belongie OOD GNN 44 382 0 30 Nov 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory Ameya Prabhu G. Varma A. Namboodiri GNN 30 71 0 23 Nov 2017
AOGNets: Compositional Grammatical Architectures for Deep Learning Xilai Li Xi Song Tianfu Wu 37 25 0 15 Nov 2017
Decoupled Weight Decay Regularization I. Loshchilov Frank Hutter OffRL 65 2,087 0 14 Nov 2017
Simple And Efficient Architecture Search for Convolutional Neural Networks T. Elsken J. H. Metzen Frank Hutter 36 230 0 13 Nov 2017
Intriguing Properties of Adversarial Examples E. D. Cubuk Barret Zoph S. Schoenholz Quoc V. Le AAML 31 84 0 08 Nov 2017
Moonshine: Distilling with Cheap Convolutions Elliot J. Crowley Gavia Gray Amos Storkey 27 120 0 07 Nov 2017
Neural Optimizer Search with Reinforcement Learning Irwan Bello Barret Zoph Vijay Vasudevan Quoc V. Le ODL 29 383 0 21 Sep 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 84 26,062 0 05 Sep 2017
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures Masanori Suganuma Shinichi Shirakawa T. Nagao 22 587 0 03 Apr 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 454 11,715 0 09 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,503 0 25 Jan 2017
Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA Manuel Martin Salvador M. Budka Bogdan Gabrys TPM 24 25 0 28 Dec 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,330 0 05 Nov 2016