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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
Mohit Prabhushankar
Ghassan Al-Regib
Armin Pacharmi
E. Corona
    AAML
ArXivPDFHTML

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

11 / 11 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
Targeting Negative Flips in Active Learning using Validation Sets
Ryan Benkert
Mohit Prabhushankar
Ghassan AlRegib
AAML
37
0
0
16 Nov 2024
Intelligent Multi-View Test Time Augmentation
Intelligent Multi-View Test Time Augmentation
Efe Ozturk
Mohit Prabhushankar
Ghassan AlRegib
29
3
0
12 Jun 2024
VOICE: Variance of Induced Contrastive Explanations to quantify
  Uncertainty in Neural Network Interpretability
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability
Mohit Prabhushankar
Ghassan AlRegib
FAtt
UQCV
31
2
0
01 Jun 2024
Effective Data Selection for Seismic Interpretation through Disagreement
Effective Data Selection for Seismic Interpretation through Disagreement
Ryan Benkert
Mohit Prabhushankar
Ghassan AlRegib
37
2
0
01 Jun 2024
Counterfactual Gradients-based Quantification of Prediction Trust in
  Neural Networks
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks
Mohit Prabhushankar
Ghassan AlRegib
UQCV
29
0
0
22 May 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
Mohit Prabhushankar
Ghassan AlRegib
Enrique Corona
Kunjan Singh
Mostafa Parchami
16
4
0
17 Nov 2023
Clinical Trial Active Learning
Clinical Trial Active Learning
Zoe Fowler
Kiran Kokilepersaud
Mohit Prabhushankar
Ghassan AlRegib
17
6
0
20 Jul 2023
Introspective Learning : A Two-Stage Approach for Inference in Neural
  Networks
Introspective Learning : A Two-Stage Approach for Inference in Neural Networks
Mohit Prabhushankar
Ghassan AlRegib
46
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
288
36,371
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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