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Active Learning in Bayesian Neural Networks with Balanced Entropy
  Learning Principle

Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle

30 May 2021
J. Woo
ArXivPDFHTML

Papers citing "Active Learning in Bayesian Neural Networks with Balanced Entropy Learning Principle"

5 / 5 papers shown
Title
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
JoonHo Lee
Jae Oh Woo
Juree Seok
Parisa Hassanzadeh
Wooseok Jang
...
Hankyu Moon
Wenjun Hu
Yeong-Dae Kwon
Taehee Lee
Seungjai Min
40
2
0
10 May 2024
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
295
5,761
0
29 Apr 2021
Exponential Savings in Agnostic Active Learning through Abstention
Exponential Savings in Agnostic Active Learning through Abstention
Nikita Puchkin
Nikita Zhivotovskiy
13
20
0
31 Jan 2021
Fast Predictive Uncertainty for Classification with Bayesian Deep
  Networks
Fast Predictive Uncertainty for Classification with Bayesian Deep Networks
Marius Hobbhahn
Agustinus Kristiadi
Philipp Hennig
BDL
UQCV
69
31
0
02 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,109
0
06 Jun 2015
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