Adaptive Neural Networks for Efficient Inference

25 February 2017

Papers citing "Adaptive Neural Networks for Efficient Inference"

22 / 22 papers shown

Title
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML M. Deutel G. Kontes Christopher Mutschler Jürgen Teich 124 0 0 23 May 2023
Changing Model Behavior at Test-Time Using Reinforcement Learning Augustus Odena Dieterich Lawson C. Olah TTA 34 50 0 24 Feb 2017
Spatially Adaptive Computation Time for Residual Networks Michael Figurnov Maxwell D. Collins Yukun Zhu Li Zhang Jonathan Huang Dmitry Vetrov Ruslan Salakhutdinov 39 346 0 07 Dec 2016
LCNN: Lookup-based Convolutional Neural Network Hessam Bagherinezhad Mohammad Rastegari Ali Farhadi 31 90 0 20 Nov 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 87 1,852 0 22 Sep 2016
Learning Structured Sparsity in Deep Neural Networks W. Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 102 2,331 0 12 Aug 2016
Pruning Random Forests for Prediction on a Budget Feng Nan Joseph Wang Venkatesh Saligrama 44 70 0 16 Jun 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 129 4,342 0 16 Mar 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size F. Iandola Song Han Matthew W. Moskewicz Khalid Ashraf W. Dally Kurt Keutzer 110 7,448 0 24 Feb 2016
Quantized Convolutional Neural Networks for Mobile Devices Jiaxiang Wu Cong Leng Yuhang Wang Qinghao Hu Jian Cheng MQ 58 1,162 0 21 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.2K 192,638 0 10 Dec 2015
Conditional Computation in Neural Networks for faster models Emmanuel Bengio Pierre-Luc Bacon Joelle Pineau Doina Precup AI4CE 81 320 0 19 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 127 2,976 0 02 Nov 2015
Efficient Learning by Directed Acyclic Graph For Resource Constrained Prediction Joseph Wang K. Trapeznikov Venkatesh Saligrama 28 49 0 26 Oct 2015
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions Mikhail Figurnov Aizhan Ibraimova Dmitry Vetrov Pushmeet Kohli 41 137 0 30 Apr 2015
Compressing Neural Networks with the Hashing Trick Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 96 1,190 0 19 Apr 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 186 19,448 0 09 Mar 2015
Compressing Deep Convolutional Networks using Vector Quantization Yunchao Gong Liu Liu Ming Yang Lubomir D. Bourdev MQ 81 1,168 0 18 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 277 43,511 0 17 Sep 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 262 20,467 0 10 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 978 39,383 0 01 Sep 2014
Cost-Sensitive Tree of Classifiers Z. Xu Matt J. Kusner Kilian Q. Weinberger Minmin Chen 61 116 0 09 Oct 2012