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. 2202.10584
  4. Cited By
DeepSketch: A New Machine Learning-Based Reference Search Technique for
  Post-Deduplication Delta Compression

DeepSketch: A New Machine Learning-Based Reference Search Technique for Post-Deduplication Delta Compression

17 February 2022
Jisung Park
Jeoggyun Kim
Yeseong Kim
Sungjin Lee
O. Mutlu
ArXiv (abs)PDFHTML

Papers citing "DeepSketch: A New Machine Learning-Based Reference Search Technique for Post-Deduplication Delta Compression"

12 / 12 papers shown
Title
Google Neural Network Models for Edge Devices: Analyzing and Mitigating
  Machine Learning Inference Bottlenecks
Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks
Amirali Boroumand
Saugata Ghose
Berkin Akin
Ravi Narayanaswami
Geraldo F. Oliveira
Xiaoyu Ma
Eric Shiu
O. Mutlu
68
86
0
29 Sep 2021
Pythia: A Customizable Hardware Prefetching Framework Using Online
  Reinforcement Learning
Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning
Rahul Bera
Konstantinos Kanellopoulos
Anant V. Nori
Taha Shahroodi
S. Subramoney
O. Mutlu
67
81
0
24 Sep 2021
High-Fidelity Generative Image Compression
High-Fidelity Generative Image Compression
Fabian Mentzer
G. Toderici
Michael Tschannen
E. Agustsson
94
473
0
17 Jun 2020
Binary Neural Networks: A Survey
Binary Neural Networks: A Survey
Haotong Qin
Ruihao Gong
Xianglong Liu
Xiao Bai
Jingkuan Song
N. Sebe
MQ
129
470
0
31 Mar 2020
Bio-Inspired Hashing for Unsupervised Similarity Search
Bio-Inspired Hashing for Unsupervised Similarity Search
Chaitanya K. Ryali
J. Hopfield
Leopold Grinberg
Dmitry Krotov
56
25
0
14 Jan 2020
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
65
560
0
09 Apr 2018
The Design, Implementation, and Deployment of a System to Transparently
  Compress Hundreds of Petabytes of Image Files for a File-Storage Service
The Design, Implementation, and Deployment of a System to Transparently Compress Hundreds of Petabytes of Image Files for a File-Storage Service
D. Horn
Ken Elkabany
Chris Lesniewski-Laas
Keith Winstein
39
22
0
26 Mar 2017
Achieving Human Parity in Conversational Speech Recognition
Achieving Human Parity in Conversational Speech Recognition
Wayne Xiong
J. Droppo
Xuedong Huang
Frank Seide
M. Seltzer
A. Stolcke
Dong Yu
Geoffrey Zweig
89
581
0
17 Oct 2016
A Survey on Learning to Hash
A Survey on Learning to Hash
Jingdong Wang
Ting Zhang
Jingkuan Song
N. Sebe
Heng Tao Shen
108
970
0
01 Jun 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised
  Learning
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
110
936
0
25 May 2016
Unsupervised Learning of Video Representations using LSTMs
Unsupervised Learning of Video Representations using LSTMs
Nitish Srivastava
Elman Mansimov
Ruslan Salakhutdinov
SSL
140
2,593
0
16 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
1