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Gaussian Switch Sampling: A Second Order Approach to Active Learning

Gaussian Switch Sampling: A Second Order Approach to Active Learning

16 February 2023
Ryan Benkert
M. Prabhushankar
Ghassan Al-Regib
Armin Pacharmi
E. Corona
    AAML
ArXivPDFHTML

Papers citing "Gaussian Switch Sampling: A Second Order Approach to Active Learning"

6 / 6 papers shown
Title
Physics- and data-driven Active Learning of neural network representations for free energy functions of materials from statistical mechanics
Jamie Holber
Krishna Garikipati
AI4CE
43
0
0
25 Feb 2025
Effective Data Selection for Seismic Interpretation through Disagreement
Effective Data Selection for Seismic Interpretation through Disagreement
Ryan Benkert
M. Prabhushankar
Ghassan AlRegib
32
2
0
01 Jun 2024
FOCAL: A Cost-Aware Video Dataset for Active Learning
FOCAL: A Cost-Aware Video Dataset for Active Learning
Kiran Kokilepersaud
Yash-yee Logan
Ryan Benkert
Chen Zhou
M. Prabhushankar
Ghassan AlRegib
Enrique Corona
Kunjan Singh
Mostafa Parchami
16
4
0
17 Nov 2023
Introspective Learning : A Two-Stage Approach for Inference in Neural
  Networks
Introspective Learning : A Two-Stage Approach for Inference in Neural Networks
M. Prabhushankar
Ghassan AlRegib
41
19
0
17 Sep 2022
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
255
36,362
0
25 Aug 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
197
745
0
06 Jun 2015
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