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Scalable Batch Acquisition for Deep Bayesian Active Learning
v1v2v3 (latest)

Scalable Batch Acquisition for Deep Bayesian Active Learning

13 January 2023
Aleksandr Rubashevskii
Daria A. Kotova
Maxim Panov
    BDL
ArXiv (abs)PDFHTML

Papers citing "Scalable Batch Acquisition for Deep Bayesian Active Learning"

3 / 3 papers shown
Title
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
Roman Vashurin
Ekaterina Fadeeva
Artem Vazhentsev
Akim Tsvigun
Daniil Vasilev
...
Timothy Baldwin
Timothy Baldwin
Preslav Nakov
Maxim Panov
Artem Shelmanov
HILM
184
28
0
21 Jun 2024
Speeding Up BatchBALD: A k-BALD Family of Approximations for Active
  Learning
Speeding Up BatchBALD: A k-BALD Family of Approximations for Active Learning
Andreas Kirsch
BDL
63
2
0
23 Jan 2023
Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning
Stochastic Batch Acquisition: A Simple Baseline for Deep Active Learning
Andreas Kirsch
Sebastian Farquhar
Parmida Atighehchian
Andrew Jesson
Frederic Branchaud-Charron
Y. Gal
106
20
0
22 Jun 2021
1