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Deep Active Learning with Adaptive Acquisition

Deep Active Learning with Adaptive Acquisition

27 June 2019
Manuel Haussmann
Fred Hamprecht
M. Kandemir
ArXivPDFHTML

Papers citing "Deep Active Learning with Adaptive Acquisition"

6 / 6 papers shown
Title
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
Abdullah Akgul
Manuel Haußmann
M. Kandemir
OffRL
71
1
0
17 Jan 2025
Image Classification with Deep Reinforcement Active Learning
Image Classification with Deep Reinforcement Active Learning
Mingyuan Jiu
Xuguang Song
H. Sahbi
Shupan Li
Yan Chen
Wei Guo
Lihua Guo
Mingliang Xu
VLM
26
0
0
31 Dec 2024
Boosting Active Learning via Improving Test Performance
Boosting Active Learning via Improving Test Performance
Tianyang Wang
Xingjian Li
Pengkun Yang
Guosheng Hu
Xiangrui Zeng
Siyu Huang
Chengzhong Xu
Min Xu
25
33
0
10 Dec 2021
OPAD: An Optimized Policy-based Active Learning Framework for Document
  Content Analysis
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis
Sumit Shekhar
Bhanu Prakash Reddy Guda
Ashutosh Chaubey
Ishan Jindal
Avanish Jain
30
0
0
01 Oct 2021
Cost-Based Budget Active Learning for Deep Learning
Cost-Based Budget Active Learning for Deep Learning
P. Gikunda
Nicolas Jouandeau
14
1
0
09 Dec 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
285
9,138
0
06 Jun 2015
1