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. 1905.07424
  4. Cited By
Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active
  Learning

Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning

17 May 2019
Mike Walmsley
Lewis Smith
Chris J. Lintott
Y. Gal
S. Bamford
H. Dickinson
Lucy Fortson
Sandor Kruk
K. Masters
C. Scarlata
B. Simmons
R. Smethurst
D. Wright
ArXivPDFHTML

Papers citing "Galaxy Zoo: Probabilistic Morphology through Bayesian CNNs and Active Learning"

14 / 14 papers shown
Title
Automatic Machine Learning Framework to Study Morphological Parameters of AGN Host Galaxies within z<1.4z < 1.4z<1.4 in the Hyper Supreme-Cam Wide Survey
Chuan Tian
C. Urry
Aritra Ghosh
Daisuke Nagai
T. Ananna
...
Connor Auge
Aayush Mishra
D. Sanders
N. Cappelluti
Kevin Schawinski
69
0
0
28 Jan 2025
A survey of active learning algorithms for supervised remote sensing
  image classification
A survey of active learning algorithms for supervised remote sensing image classification
D. Tuia
Michele Volpi
Loris Copa
M. Kanevski
Jordi Munoz-Marí
31
525
0
15 Apr 2021
Deep Learning at Scale for the Construction of Galaxy Catalogs in the
  Dark Energy Survey
Deep Learning at Scale for the Construction of Galaxy Catalogs in the Dark Energy Survey
Asad Khan
Eliu A. Huerta
Si-Yang Wang
R. Gruendl
Elise Jennings
Huihuo Zheng
45
30
0
05 Dec 2018
Using transfer learning to detect galaxy mergers
Using transfer learning to detect galaxy mergers
Sandro Ackermann
Kevin Schawinski
Ce Zhang
Anna K. Weigel
M. D. Turp
3DPC
50
111
0
25 May 2018
Loss-Calibrated Approximate Inference in Bayesian Neural Networks
Loss-Calibrated Approximate Inference in Bayesian Neural Networks
Adam D. Cobb
Stephen J. Roberts
Y. Gal
BDL
UQCV
56
43
0
10 May 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
642
5,798
0
05 Dec 2016
Active Deep Learning for Classification of Hyperspectral Images
Active Deep Learning for Classification of Hyperspectral Images
Peng Liu
Hui Zhang
K. Eom
40
229
0
30 Nov 2016
Star-galaxy Classification Using Deep Convolutional Neural Networks
Star-galaxy Classification Using Deep Convolutional Neural Networks
Edward J. Kim
R. Brunner
43
160
0
15 Aug 2016
Rotation-invariant convolutional neural networks for galaxy morphology
  prediction
Rotation-invariant convolutional neural networks for galaxy morphology prediction
Sander Dieleman
K. Willett
J. Dambre
87
652
0
24 Mar 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
397
43,589
0
17 Sep 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
1.3K
100,213
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
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
1.4K
39,472
0
01 Sep 2014
scikit-image: Image processing in Python
scikit-image: Image processing in Python
Stéfan van der Walt
Johannes L. Schonberger
Juan Nunez-Iglesias
François Boulogne
Joshua D. Warner
Neil Yager
Emmanuelle Gouillart
Tony Yu
the scikit-image contributors
SSeg
GP
VLM
154
4,351
0
23 Jul 2014
Bayesian Active Learning for Classification and Preference Learning
Bayesian Active Learning for Classification and Preference Learning
N. Houlsby
Ferenc Huszár
Zoubin Ghahramani
M. Lengyel
110
911
0
24 Dec 2011
1