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. 1908.05725
  4. Cited By
Trustable and Automated Machine Learning Running with Blockchain and Its
  Applications

Trustable and Automated Machine Learning Running with Blockchain and Its Applications

14 August 2019
Tao Wang
Xinmin Wu
Taiping He
ArXivPDFHTML

Papers citing "Trustable and Automated Machine Learning Running with Blockchain and Its Applications"

12 / 12 papers shown
Title
A Unified Analytical Framework for Trustable Machine Learning and
  Automation Running with Blockchain
A Unified Analytical Framework for Trustable Machine Learning and Automation Running with Blockchain
Tao Wang
36
22
0
21 Mar 2019
Trustless Machine Learning Contracts; Evaluating and Exchanging Machine
  Learning Models on the Ethereum Blockchain
Trustless Machine Learning Contracts; Evaluating and Exchanging Machine Learning Models on the Ethereum Blockchain
A. Krizhevsky
Geoffrey E. Hinton
SyDa
44
109
0
27 Feb 2018
Capsule Network Performance on Complex Data
Capsule Network Performance on Complex Data
Edgar Xi
Selina Bing
Yang Jin
54
214
0
10 Dec 2017
Dynamic Routing Between Capsules
Dynamic Routing Between Capsules
S. Sabour
Nicholas Frosst
Geoffrey E. Hinton
169
4,595
0
26 Oct 2017
Toward Geometric Deep SLAM
Toward Geometric Deep SLAM
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
3DPC
3DGS
48
141
0
24 Jul 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
244
2,963
0
20 Mar 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
766
36,794
0
25 Aug 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
787
38,932
0
09 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
Distributed Double Spending Prevention
Distributed Double Spending Prevention
J. Hoepman
135
28
0
06 Feb 2008
1