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1808.04245
Cited By
Active Learning for Regression Using Greedy Sampling
8 August 2018
Dongrui Wu
Chin-Teng Lin
Jian Huang
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Papers citing
"Active Learning for Regression Using Greedy Sampling"
36 / 36 papers shown
Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces
Science China Information Sciences (Sci China Inf Sci), 2023
X. Jiang
L. Meng
S. Li
D. Wu
AAML
351
9
0
13 Dec 2024
Cross-Task Inconsistency Based Active Learning (CTIAL) for Emotion Recognition
IEEE Transactions on Affective Computing (IEEE Trans. Affective Comput.), 2024
Yifan Xu
Xue Jiang
Dongrui Wu
303
7
0
02 Dec 2024
Active learning for regression in engineering populations: A risk-informed approach
Data-Centric Engineering (DCE), 2024
Daniel R. Clarkson
L. Bull
C. Wickramarachchi
Elizabeth J. Cross
T. Rogers
Keith Worden
Nikolaos Dervilis
A. Hughes
239
2
0
06 Sep 2024
Stream-based Active Learning for Anomalous Sound Detection in Machine Condition Monitoring
Interspeech (Interspeech), 2024
Tuan Vu Ho
Kota Dohi
Yohei Kawaguchi
405
4
0
10 Aug 2024
Classification Tree-based Active Learning: A Wrapper Approach
Ashna Jose
Emilie Devijver
Massih-Reza Amini
Noël Jakse
R. Poloni
171
1
0
15 Apr 2024
Active Learning for Regression based on Wasserstein distance and GroupSort Neural Networks
Benjamin Bobbia
Matthias Picard
OOD
190
1
0
22 Mar 2024
Model Uncertainty based Active Learning on Tabular Data using Boosted Trees
International Conference on AI-ML-Systems (ICA), 2023
Sharath M Shankaranarayana
359
2
0
30 Oct 2023
Streaming Active Learning for Regression Problems Using Regression via Classification
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Shota Horiguchi
Kota Dohi
Yohei Kawaguchi
236
2
0
02 Sep 2023
On minimizing the training set fill distance in machine learning regression
Paolo Climaco
Jochen Garcke
275
3
0
20 Jul 2023
Crowd-Powered Photo Enhancement Featuring an Active Learning Based Local Filter
Satoshi Kosugi
T. Yamasaki
325
5
0
15 Jun 2023
An Expanded Benchmark that Rediscovers and Affirms the Edge of Uncertainty Sampling for Active Learning in Tabular Datasets
Po-Yi Lu
Yi-Jie Cheng
Chun-Liang Li
Hsuan-Tien Lin
519
8
0
15 Jun 2023
Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling
IISE Transactions (IISE Trans.), 2023
Upala J. Islam
K. Paynabar
G. Runger
A. Iquebal
183
10
0
16 Apr 2023
Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Reimi Sato
Kazuto Fukuchi
Jun Sakuma
Youhei Akimoto
OffRL
231
0
0
31 Jan 2023
Bayesian Active Learning with Fully Bayesian Gaussian Processes
Neural Information Processing Systems (NeurIPS), 2022
Christoffer Riis
Francisco Antunes
F. B. Hüttel
C. L. Azevedo
Francisco Câmara Pereira
GP
424
39
0
20 May 2022
Active Learning for Regression by Inverse Distance Weighting
Information Sciences (Inf. Sci.), 2022
Alberto Bemporad
223
39
0
14 Apr 2022
An Interactive Visualization Tool for Understanding Active Learning
Zihan Wang
Jialin Lu
Oliver Snow
Martin Ester
150
2
0
09 Nov 2021
Spectroscopy Approaches for Food Safety Applications: Improving Data Efficiency Using Active Learning and Semi-Supervised Learning
Huan Zhang
Nicharee Wisuthiphaet
Hemiao Cui
N. Nitin
Xin Liu
Qing Zhao
191
6
0
07 Oct 2021
Backdoor Attack and Defense for Deep Regression
Xi Li
G. Kesidis
David J. Miller
V. Lucic
AAML
205
6
0
06 Sep 2021
Robust and Active Learning for Deep Neural Network Regression
Xi Li
G. Kesidis
David J. Miller
Maxime Bergeron
Ryan Ferguson
V. Lucic
147
1
0
28 Jul 2021
Troubleshooting Blind Image Quality Models in the Wild
Computer Vision and Pattern Recognition (CVPR), 2021
Zhihua Wang
Haotao Wang
Tianlong Chen
Zinan Lin
Kede Ma
165
29
0
14 May 2021
Unsupervised Instance Selection with Low-Label, Supervised Learning for Outlier Detection
Trent J. Bradberry
Christopher H. Hase
LeAnna Kent
Joel A. Góngora
166
1
0
26 Apr 2021
Chernoff Sampling for Active Testing and Extension to Active Regression
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Subhojyoti Mukherjee
Ardhendu Shekhar Tripathy
Robert D. Nowak
485
14
0
15 Dec 2020
Learning control for transmission and navigation with a mobile robot under unknown communication rates
Control Engineering Practice (CEP), 2020
L. Buşoniu
V. Varma
Jérôme Lohéac
A. Codrean
O. Stefan
I. Morarescu
S. Lasaulce
105
11
0
18 Nov 2020
A Survey on Negative Transfer
IEEE/CAA Journal of Automatica Sinica (JCAS), 2020
Wen Zhang
Lingfei Deng
Lei Zhang
Dongrui Wu
AAML
523
340
0
02 Sep 2020
Index Selection for NoSQL Database with Deep Reinforcement Learning
Shun Yao
Hongzhi Wang
Yu Yan
197
21
0
16 Jun 2020
Integrating Informativeness, Representativeness and Diversity in Pool-Based Sequential Active Learning for Regression
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Ziang Liu
Dongrui Wu
142
9
0
26 Mar 2020
Pool-Based Unsupervised Active Learning for Regression Using Iterative Representativeness-Diversity Maximization (iRDM)
Pattern Recognition Letters (Pattern Recognit. Lett.), 2020
Ziang Liu
Xue Jiang
Hanbin Luo
Weili Fang
Jiajing Liu
Dongrui Wu
217
43
0
17 Mar 2020
Data-driven surrogate modelling and benchmarking for process equipment
Data-Centric Engineering (DCE), 2020
G. Gonçalves
A. Batchvarov
Yuyi Liu
Yuxin Liu
L. Mason
Indranil Pan
Omar K. Matar
134
7
0
13 Mar 2020
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
International Conference on Learning Representations (ICLR), 2020
Byung Hoon Ahn
Prannoy Pilligundla
Amir Yazdanbakhsh
H. Esmaeilzadeh
ODL
297
90
0
23 Jan 2020
Unsupervised Pool-Based Active Learning for Linear Regression
Ziang Liu
Dongrui Wu
163
5
0
14 Jan 2020
Active emulation of computer codes with Gaussian processes -- Application to remote sensing
Pattern Recognition (Pattern Recognit.), 2019
D. Svendsen
Luca Martino
Gustau Camps-Valls
274
57
0
13 Dec 2019
Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces
IEEE Symposium Series on Computational Intelligence (SSCI), 2019
Xue Jiang
Xiao Zhang
Dongrui Wu
AAML
213
16
0
07 Nov 2019
Patch Learning
IEEE transactions on fuzzy systems (IEEE TFS), 2019
Dongrui Wu
J. Mendel
195
30
0
01 Jun 2019
Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation
Byung Hoon Ahn
Prannoy Pilligundla
H. Esmaeilzadeh
242
22
0
30 May 2019
Active Stacking for Heart Rate Estimation
Dongrui Wu
Feifei Liu
Chengyu Liu
152
1
0
26 Mar 2019
Affect Estimation in 3D Space Using Multi-Task Active Learning for Regression
Dongrui Wu
Jian Huang
211
22
0
08 Aug 2018
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