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Benchmarking of Query Strategies: Towards Future Deep Active Learning

Benchmarking of Query Strategies: Towards Future Deep Active Learning

10 December 2023
Shiryu Ueno
Yusei Yamada
Shunsuke Nakatsuka
Kunihito Kato
    FedML
ArXivPDFHTML

Papers citing "Benchmarking of Query Strategies: Towards Future Deep Active Learning"

3 / 3 papers shown
Title
Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model
Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model
Shiryu Ueno
Yoshikazu Hayashi
Shunsuke Nakatsuka
Yusei Yamada
Hiroaki Aizawa
K. Kato
MLLM
VLM
105
0
0
13 Feb 2025
Consistency-based Semi-supervised Active Learning: Towards Minimizing
  Labeling Cost
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost
M. Gao
Zizhao Zhang
Guo-Ding Yu
Sercan Ö. Arik
L. Davis
Tomas Pfister
168
196
0
16 Oct 2019
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
285
9,145
0
06 Jun 2015
1