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Practical Galaxy Morphology Tools from Deep Supervised Representation
  Learning

Practical Galaxy Morphology Tools from Deep Supervised Representation Learning

25 October 2021
Mike Walmsley
Anna M. M. Scaife
Chris J. Lintott
Michelle Lochner
Yu Zhu
Tobias Géron
H. Dickinson
Xibo Ma
Sandor Kruk
Zhen Lei
G. Guo
B. Simmons
ArXivPDFHTML

Papers citing "Practical Galaxy Morphology Tools from Deep Supervised Representation Learning"

12 / 12 papers shown
Title
Effective Fine-Tuning of Vision-Language Models for Accurate Galaxy
  Morphology Analysis
Effective Fine-Tuning of Vision-Language Models for Accurate Galaxy Morphology Analysis
Ruoqi Wang
Haitao Wang
Qiong Luo
75
0
0
29 Nov 2024
A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to
  Astronomical Time-Series
A Classifier-Based Approach to Multi-Class Anomaly Detection Applied to Astronomical Time-Series
Rithwik Gupta
D. Muthukrishna
Michelle Lochner
18
1
0
05 Aug 2024
A review of unsupervised learning in astronomy
A review of unsupervised learning in astronomy
Sotiria Fotopoulou
43
8
0
25 Jun 2024
AstroPT: Scaling Large Observation Models for Astronomy
AstroPT: Scaling Large Observation Models for Astronomy
Michael J. Smith
Ryan J. Roberts
E. Angeloudi
M. Huertas-Company
43
1
0
23 May 2024
Rare Galaxy Classes Identified In Foundation Model Representations
Rare Galaxy Classes Identified In Foundation Model Representations
Mike Walmsley
A. Scaife
14
3
0
05 Dec 2023
TCuPGAN: A novel framework developed for optimizing human-machine
  interactions in citizen science
TCuPGAN: A novel framework developed for optimizing human-machine interactions in citizen science
Ramanakumar Sankar
K. Mantha
Lucy Fortson
Helen Spiers
T. Pengo
...
Myat Mo
Mark Sanders
Trace Christensen
Jeffrey L. Salisbury
L. Trouille
17
2
0
23 Nov 2023
Deep supervised hashing for fast retrieval of radio image cubes
Deep supervised hashing for fast retrieval of radio image cubes
Steven Ndung’u
Trienko L. Grobler
S. Wijnholds
Dimka Karastoyanova
George Azzopardi
20
0
0
02 Sep 2023
A brief review of contrastive learning applied to astrophysics
A brief review of contrastive learning applied to astrophysics
M. Huertas-Company
R. Sarmiento
J. Knapen
32
9
0
08 Jun 2023
From fat droplets to floating forests: cross-domain transfer learning
  using a PatchGAN-based segmentation model
From fat droplets to floating forests: cross-domain transfer learning using a PatchGAN-based segmentation model
K. Mantha
Ramanakumar Sankar
Yu-Bang Zheng
Lucy Fortson
T. Pengo
...
L. Trouille
Jarrett E. K. Byrnes
I. Rosenthal
H. Houskeeper
K. Cavanaugh
59
3
0
08 Nov 2022
Towards Galaxy Foundation Models with Hybrid Contrastive Learning
Towards Galaxy Foundation Models with Hybrid Contrastive Learning
Mike Walmsley
I. V. Slijepcevic
Micah Bowles
A. Scaife
VLM
40
15
0
23 Jun 2022
A two-steps approach to improve the performance of Android malware
  detectors
A two-steps approach to improve the performance of Android malware detectors
N. Daoudi
Kevin Allix
Tegawende F. Bissyande
Jacques Klein
AAML
21
3
0
17 May 2022
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
234
4,469
0
23 Jan 2020
1