ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2207.09353
  4. Cited By
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented
  Communications

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

19 July 2022
Deniz Gunduz
Zhijin Qin
Iñaki Estella Aguerri
Harpreet S. Dhillon
Zhaohui Yang
Aylin Yener
Kai‐Kit Wong
C. Chae
ArXivPDFHTML

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

50 / 118 papers shown
Title
A Joint Learning and Communications Framework for Federated Learning
  over Wireless Networks
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks
Mingzhe Chen
Zhaohui Yang
Walid Saad
Changchuan Yin
H. Vincent Poor
Shuguang Cui
FedML
64
1,190
0
17 Sep 2019
Video Compression With Rate-Distortion Autoencoders
Video Compression With Rate-Distortion Autoencoders
A. Habibian
T. V. Rozendaal
Jakub M. Tomczak
Taco S. Cohen
VGen
62
200
0
14 Aug 2019
Human Perceptual Evaluations for Image Compression
Human Perceptual Evaluations for Image Compression
Yash J. Patel
Srikar Appalaraju
R. Manmatha
30
17
0
09 Aug 2019
Deep Task-Based Quantization
Deep Task-Based Quantization
Nir Shlezinger
Yonina C. Eldar
MQ
41
61
0
01 Aug 2019
Federated Learning over Wireless Fading Channels
Federated Learning over Wireless Fading Channels
M. Amiri
Deniz Gunduz
100
510
0
23 Jul 2019
On The Classification-Distortion-Perception Tradeoff
On The Classification-Distortion-Perception Tradeoff
Dong Liu
Haochen Zhang
Zhiwei Xiong
34
40
0
18 Apr 2019
Successive Refinement of Images with Deep Joint Source-Channel Coding
Successive Refinement of Images with Deep Joint Source-Channel Coding
David Burth Kurka
Deniz Gunduz
43
50
0
15 Mar 2019
BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud
  Computing Services
BottleNet: A Deep Learning Architecture for Intelligent Mobile Cloud Computing Services
Amir Erfan Eshratifar
Amirhossein Esmaili
Massoud Pedram
47
173
0
04 Feb 2019
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff
Rethinking Lossy Compression: The Rate-Distortion-Perception Tradeoff
Yochai Blau
T. Michaeli
69
304
0
23 Jan 2019
Learning based Facial Image Compression with Semantic Fidelity Metric
Learning based Facial Image Compression with Semantic Fidelity Metric
Zhibo Chen
Tianyu He
CVBM
30
33
0
25 Dec 2018
JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for
  Edge-Cloud Execution
JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution
Hongshan Li
Chenghao Hu
Jingyan Jiang
Zhi Wang
Yonggang Wen
Wenwu Zhu
77
133
0
25 Dec 2018
Auto-tuning Neural Network Quantization Framework for Collaborative
  Inference Between the Cloud and Edge
Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge
Guangli Li
Lei Liu
Xueying Wang
Xiao-jun Dong
Peng Zhao
Xiaobing Feng
MQ
59
64
0
16 Dec 2018
DVC: An End-to-end Deep Video Compression Framework
DVC: An End-to-end Deep Video Compression Framework
Guo Lu
Wanli Ouyang
Dong Xu
Xiaoyun Zhang
Chunlei Cai
Zhiyong Gao
VGen
73
654
0
30 Nov 2018
Learned Video Compression
Learned Video Compression
Oren Rippel
Sanjay Nair
Carissa Lew
Steve Branson
Alexander G. Anderson
Lubomir D. Bourdev
55
230
0
16 Nov 2018
TarMAC: Targeted Multi-Agent Communication
TarMAC: Targeted Multi-Agent Communication
Abhishek Das
Théophile Gervet
Joshua Romoff
Dhruv Batra
Devi Parikh
Michael G. Rabbat
Joelle Pineau
101
383
0
26 Oct 2018
Deep Generative Video Compression
Deep Generative Video Compression
Jun Han
Salvator Lombardo
Christopher Schroers
Stephan Mandt
VGen
55
58
0
05 Oct 2018
Dual Attention Network for Scene Segmentation
Dual Attention Network for Scene Segmentation
J. Fu
Qingbin Liu
Haijie Tian
Yong Li
Yongjun Bao
Zhiwei Fang
Hanqing Lu
SSeg
302
5,095
0
09 Sep 2018
Joint Autoregressive and Hierarchical Priors for Learned Image
  Compression
Joint Autoregressive and Hierarchical Priors for Learned Image Compression
David C. Minnen
Johannes Ballé
G. Toderici
67
1,269
0
08 Sep 2018
Distributed Variational Representation Learning
Distributed Variational Representation Learning
Iñaki Estella Aguerri
Milad Sefidgaran
47
72
0
11 Jul 2018
DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
DSSLIC: Deep Semantic Segmentation-based Layered Image Compression
Mohammad Akbari
Jie Liang
Jingning Han
35
90
0
08 Jun 2018
Deep Generative Models for Distribution-Preserving Lossy Compression
Deep Generative Models for Distribution-Preserving Lossy Compression
Michael Tschannen
E. Agustsson
Mario Lucic
30
131
0
28 May 2018
Sparse Binary Compression: Towards Distributed Deep Learning with
  minimal Communication
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
MQ
52
214
0
22 May 2018
Learning Attentional Communication for Multi-Agent Cooperation
Learning Attentional Communication for Multi-Agent Cooperation
Jiechuan Jiang
Zongqing Lu
60
485
0
20 May 2018
Video Compression through Image Interpolation
Video Compression through Image Interpolation
Chao-Yuan Wu
Nayan Singhal
Philipp Krahenbuhl
VGen
80
321
0
18 Apr 2018
Generative Adversarial Networks for Extreme Learned Image Compression
Generative Adversarial Networks for Extreme Learned Image Compression
E. Agustsson
Michael Tschannen
Fabian Mentzer
Radu Timofte
Luc Van Gool
GAN
63
558
0
09 Apr 2018
Towards Image Understanding from Deep Compression without Decoding
Towards Image Understanding from Deep Compression without Decoding
Robert Torfason
Fabian Mentzer
E. Agustsson
Michael Tschannen
Radu Timofte
Luc Van Gool
AI4CE
62
153
0
16 Mar 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Jonathan Frankle
Michael Carbin
210
3,457
0
09 Mar 2018
Compressing Neural Networks using the Variational Information Bottleneck
Compressing Neural Networks using the Variational Information Bottleneck
Bin Dai
Chen Zhu
David Wipf
MLT
49
181
0
28 Feb 2018
Deep Learning for Joint Source-Channel Coding of Text
Deep Learning for Joint Source-Channel Coding of Text
Nariman Farsad
Milind Rao
Andrea J. Goldsmith
51
348
0
19 Feb 2018
The Role of Information Complexity and Randomization in Representation
  Learning
The Role of Information Complexity and Randomization in Representation Learning
Matías Vera
Pablo Piantanida
L. Rey Vega
69
14
0
14 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
327
11,734
0
11 Jan 2018
Wavenet based low rate speech coding
Wavenet based low rate speech coding
W. Kleijn
Felicia S. C. Lim
Alejandro Luebs
Jan Skoglund
Florian Stimberg
Quan Wang
Thomas C. Walters
40
142
0
01 Dec 2017
The Multi-layer Information Bottleneck Problem
The Multi-layer Information Bottleneck Problem
Qianqian Yang
Pablo Piantanida
Deniz Gündüz
21
11
0
14 Nov 2017
End-to-End Optimized Speech Coding with Deep Neural Networks
End-to-End Optimized Speech Coding with Deep Neural Networks
Srihari Kankanahalli
MQ
41
67
0
25 Oct 2017
ShuffleNet: An Extremely Efficient Convolutional Neural Network for
  Mobile Devices
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
AI4TS
132
6,850
0
04 Jul 2017
Real-Time Adaptive Image Compression
Real-Time Adaptive Image Compression
Oren Rippel
Lubomir D. Bourdev
49
561
0
16 May 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,813
0
17 Apr 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
344
27,129
0
20 Mar 2017
Towards the Limit of Network Quantization
Towards the Limit of Network Quantization
Yoojin Choi
Mostafa El-Khamy
Jungwon Lee
MQ
43
192
0
05 Dec 2016
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
583
11,984
0
04 Dec 2016
Deep Variational Information Bottleneck
Deep Variational Information Bottleneck
Alexander A. Alemi
Ian S. Fischer
Joshua V. Dillon
Kevin Patrick Murphy
98
1,714
0
01 Dec 2016
End-to-end Optimized Image Compression
End-to-end Optimized Image Compression
Johannes Ballé
Valero Laparra
Eero P. Simoncelli
DRL
77
1,705
0
05 Nov 2016
Categorical Reparameterization with Gumbel-Softmax
Categorical Reparameterization with Gumbel-Softmax
Eric Jang
S. Gu
Ben Poole
BDL
289
5,360
0
03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random
  Variables
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison
A. Mnih
Yee Whye Teh
BDL
163
2,529
0
02 Nov 2016
The Semantic Knowledge Graph: A compact, auto-generated model for
  real-time traversal and ranking of any relationship within a domain
The Semantic Knowledge Graph: A compact, auto-generated model for real-time traversal and ranking of any relationship within a domain
Trey Grainger
Khalifeh AlJadda
M. Korayem
Andries Smith
37
19
0
02 Sep 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
188
3,693
0
31 Aug 2016
KSR: A Semantic Representation of Knowledge Graph within a Novel
  Unsupervised Paradigm
KSR: A Semantic Representation of Knowledge Graph within a Novel Unsupervised Paradigm
Han Xiao
Minlie Huang
Xiaoyan Zhu
49
6
0
27 Aug 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
721
36,708
0
25 Aug 2016
Learning Structured Sparsity in Deep Neural Networks
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
162
2,337
0
12 Aug 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
131
1,654
0
02 Jun 2016
Previous
123
Next