Beyond Transmitting Bits: Context, Semantics, and Task-Oriented
Communications

Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications

19 July 2022

Deniz Gunduz

Iñaki Estella Aguerri

Harpreet S. Dhillon

Papers citing "Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications"

18 / 118 papers shown

Title
Learning to Communicate with Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Yannis Assael Nando de Freitas Shimon Whiteson 149 1,605 0 21 May 2016
Collaborative Information Bottleneck Matías Vera L. Rey Vega Pablo Piantanida 31 8 0 05 Apr 2016
Probabilistic Reasoning via Deep Learning: Neural Association Models Quan Liu Hui Jiang Andrew Evdokimov Zhenhua Ling Xiaodan Zhu Si Wei Yu Hu BDL 58 97 0 24 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 139 7,465 0 24 Feb 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 380 17,437 0 17 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.0K 193,426 0 10 Dec 2015
Variable Rate Image Compression with Recurrent Neural Networks G. Toderici Sean M. O'Malley S. Hwang Damien Vincent David C. Minnen S. Baluja Michele Covell Rahul Sukthankar 69 671 0 19 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during propagations Matthieu Courbariaux Yoshua Bengio J. David MQ 194 2,984 0 02 Nov 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 239 8,821 0 01 Oct 2015
Fast ConvNets Using Group-wise Brain Damage V. Lebedev Victor Lempitsky AAML 161 449 0 08 Jun 2015
Compressing Neural Networks with the Hashing Trick Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 147 1,191 0 19 Apr 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 316 19,609 0 09 Mar 2015
Deep Learning with Limited Numerical Precision Suyog Gupta A. Agrawal K. Gopalakrishnan P. Narayanan HAI 178 2,046 0 09 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.5K 149,842 0 22 Dec 2014
Compressing Deep Convolutional Networks using Vector Quantization Yunchao Gong Liu Liu Ming Yang Lubomir D. Bourdev MQ 132 1,170 0 18 Dec 2014
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 246 10,394 0 06 Nov 2014
Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation Emily L. Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus FAtt 165 1,688 0 02 Apr 2014
A Semantic Matching Energy Function for Learning with Multi-relational Data Xavier Glorot Antoine Bordes Jason Weston Yoshua Bengio 101 689 0 15 Jan 2013