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Meta-Learning Transferable Active Learning Policies by Deep
  Reinforcement Learning

Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning

12 June 2018
Kunkun Pang
Mingzhi Dong
Yang Wu
Timothy M. Hospedales
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning"

43 / 43 papers shown
Image augmentation with invertible networks in interactive satellite image change detection
Image augmentation with invertible networks in interactive satellite image change detection
Hichem Sahbi
223
0
0
21 Oct 2025
Label-frugal satellite image change detection with generative virtual exemplar learning
Label-frugal satellite image change detection with generative virtual exemplar learning
Hichem Sahbi
246
0
0
08 Oct 2025
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Combining Bayesian Inference and Reinforcement Learning for Agent Decision Making: A Review
Chengmin Zhou
Ville Kyrki
Pasi Fränti
Laura Ruotsalainen
BDLAI4CE
530
1
0
12 May 2025
Bayesian Active Learning for Semantic Segmentation
Bayesian Active Learning for Semantic Segmentation
Sima Didari
Wenjun Hu
Jae Oh Woo
Heng Hao
Hankyu Moon
Seungjai Min
495
5
0
03 Aug 2024
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization
F. V. Massoli
Tim Bakker
Thomas M. Hehn
Tribhuvanesh Orekondy
Arash Behboodi
312
1
0
06 Jun 2024
Reinforcement-based Display-size Selection for Frugal Satellite Image
  Change Detection
Reinforcement-based Display-size Selection for Frugal Satellite Image Change Detection
H. Sahbi
198
0
0
28 Dec 2023
DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment
  Design
DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design
Clare Lyle
Arash Mehrjou
Pascal Notin
Andrew Jesson
Stefan Bauer
Y. Gal
Patrick Schwab
266
16
0
07 Dec 2023
Frugal Satellite Image Change Detection with Deep-Net Inversion
Frugal Satellite Image Change Detection with Deep-Net Inversion
H. Sahbi
Sebastien Deschamps
337
0
0
26 Sep 2023
Learning Objective-Specific Active Learning Strategies with Attentive
  Neural Processes
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes
Tim Bakker
H. V. Hoof
Max Welling
278
2
0
11 Sep 2023
Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image
  Change Detection
Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection
H. Sahbi
Sebastien Deschamps
167
0
0
28 Dec 2022
Frugal Reinforcement-based Active Learning
Frugal Reinforcement-based Active Learning
Sebastien Deschamps
H. Sahbi
378
0
0
09 Dec 2022
Unsupervised Representation Learning in Deep Reinforcement Learning: A
  Review
Unsupervised Representation Learning in Deep Reinforcement Learning: A Review
N. Botteghi
M. Poel
C. Brune
SSLOffRL
484
25
0
27 Aug 2022
ImitAL: Learned Active Learning Strategy on Synthetic Data
ImitAL: Learned Active Learning Strategy on Synthetic DataIFIP Working Conference on Database Semantics (IWDS), 2022
Julius Gonsior
Maik Thiele
Wolfgang Lehner
191
1
0
24 Aug 2022
Deep reinforced active learning for multi-class image classification
Deep reinforced active learning for multi-class image classification
E. Slade
K. Branson
VLM
185
9
0
20 Jun 2022
On Provably Robust Meta-Bayesian Optimization
On Provably Robust Meta-Bayesian OptimizationConference on Uncertainty in Artificial Intelligence (UAI), 2022
Zhongxiang Dai
Yizhou Chen
Haibin Yu
K. H. Low
Patrick Jaillet
AAML
244
11
0
14 Jun 2022
Reinforcement-based frugal learning for satellite image change detection
Reinforcement-based frugal learning for satellite image change detection
Sebastien Deschamps
H. Sahbi
210
1
0
22 Mar 2022
Frugal Learning of Virtual Exemplars for Label-Efficient Satellite Image
  Change Detection
Frugal Learning of Virtual Exemplars for Label-Efficient Satellite Image Change Detection
H. Sahbi
Sebastien Deschamps
183
0
0
22 Mar 2022
Challenges and Opportunities for Machine Learning Classification of
  Behavior and Mental State from Images
Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images
Peter Washington
O. Mutlu
A. Kline
K. Paskov
N. Stockham
B. Chrisman
Nick Deveaux
Mourya Surhabi
Nick Haber
Dennis Paul Wall
307
12
0
26 Jan 2022
Active Learning of Quantum System Hamiltonians yields Query Advantage
Active Learning of Quantum System Hamiltonians yields Query AdvantagePhysical Review Research (Phys. Rev. Res.), 2021
Arko Dutt
E. Pednault
C. Wu
S. Sheldon
J. Smolin
L. Bishop
I. Chuang
187
17
0
29 Dec 2021
Fair Active Learning: Solving the Labeling Problem in Insurance
Fair Active Learning: Solving the Labeling Problem in Insurance
Romuald Elie
Caroline Hillairet
Franccois Hu
Marc Juillard
FaML
257
0
0
17 Dec 2021
Active learning for interactive satellite image change detection
Active learning for interactive satellite image change detection
H. Sahbi
Sebastien Deschamps
Andrei Stoian
306
6
0
08 Oct 2021
Active Learning for Argument Mining: A Practical Approach
Active Learning for Argument Mining: A Practical Approach
Nikolai Solmsdorf
Dietrich Trautmann
Hinrich Schütze
HAI
182
1
0
28 Sep 2021
ImitAL: Learning Active Learning Strategies from Synthetic Data
ImitAL: Learning Active Learning Strategies from Synthetic Data
Julius Gonsior
Maik Thiele
Wolfgang Lehner
171
4
0
17 Aug 2021
How to Train Your MAML to Excel in Few-Shot Classification
How to Train Your MAML to Excel in Few-Shot ClassificationInternational Conference on Learning Representations (ICLR), 2021
Han-Jia Ye
Wei-Lun Chao
355
61
0
30 Jun 2021
A Survey on Active Deep Learning: From Model-driven to Data-driven
Peng Liu
Lizhe Wang
Guojin He
Lei Zhao
297
21
0
25 Jan 2021
Towards Understanding the Behaviors of Optimal Deep Active Learning
  Algorithms
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms
Yilun Zhou
Adithya Renduchintala
Xian Li
Sida Wang
Yashar Mehdad
Asish Ghoshal
FedML
214
0
0
29 Dec 2020
Learning active learning at the crossroads? evaluation and discussion
Learning active learning at the crossroads? evaluation and discussion
L. Desreumaux
V. Lemaire
274
11
0
16 Dec 2020
From Weakly Supervised Learning to Biquality Learning: an Introduction
From Weakly Supervised Learning to Biquality Learning: an IntroductionIEEE International Joint Conference on Neural Network (IJCNN), 2020
Pierre Nodet
V. Lemaire
A. Bondu
Antoine Cornuéjols
A. Ouorou
407
22
0
16 Dec 2020
Learning to Sample the Most Useful Training Patches from Images
Learning to Sample the Most Useful Training Patches from Images
Shuyang Sun
Liang Chen
Greg Slabaugh
Juil Sock
226
10
0
24 Nov 2020
Meta-Active Learning for Node Response Prediction in Graphs
Meta-Active Learning for Node Response Prediction in Graphs
Tomoharu Iwata
120
0
0
12 Oct 2020
Meta-active Learning in Probabilistically-Safe Optimization
Meta-active Learning in Probabilistically-Safe OptimizationIEEE Robotics and Automation Letters (RA-L), 2020
Mariah L. Schrum
M. Connolly
Eric R. Cole
Mihir Ghetiya
R. Gross
Matthew C. Gombolay
162
14
0
07 Jul 2020
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
949
2,566
0
11 Apr 2020
Reinforced active learning for image segmentation
Reinforced active learning for image segmentationInternational Conference on Learning Representations (ICLR), 2020
Arantxa Casanova
Pedro H. O. Pinheiro
Negar Rostamzadeh
C. Pal
369
126
0
16 Feb 2020
Revisiting Meta-Learning as Supervised Learning
Revisiting Meta-Learning as Supervised Learning
Wei-Lun Chao
Han-Jia Ye
De-Chuan Zhan
M. Campbell
Kilian Q. Weinberger
OODFedML
181
24
0
03 Feb 2020
Investigating Active Learning and Meta-Learning for Iterative Peptide
  Design
Investigating Active Learning and Meta-Learning for Iterative Peptide Design
Rainier Barrett
A. White
309
2
0
20 Nov 2019
Bias-Aware Heapified Policy for Active Learning
Bias-Aware Heapified Policy for Active Learning
Wen-Yen Chang
Wen-Huan Chiang
Shao-Hao Lu
Tingfan Wu
Min Sun
OffRL
110
0
0
18 Nov 2019
Augmented Memory Networks for Streaming-Based Active One-Shot Learning
Augmented Memory Networks for Streaming-Based Active One-Shot Learning
Andreas Kvistad
M. Ruocco
Eliezer de Souza da Silva
Erlend Aune
117
4
0
04 Sep 2019
Dynamic Face Video Segmentation via Reinforcement Learning
Dynamic Face Video Segmentation via Reinforcement LearningComputer Vision and Pattern Recognition (CVPR), 2019
Yujiang Wang
Mingzhi Dong
Jie Shen
Yang Wu
Shiyang Cheng
Maja Pantic
CVBM
302
24
0
02 Jul 2019
Deep Active Learning with Adaptive Acquisition
Deep Active Learning with Adaptive AcquisitionInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Manuel Haussmann
Fred Hamprecht
M. Kandemir
269
42
0
27 Jun 2019
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles
Kashyap Chitta
J. Álvarez
Adam Lesnikowski
BDLUQCV
331
38
0
08 Nov 2018
Discovering General-Purpose Active Learning Strategies
Discovering General-Purpose Active Learning Strategies
Ksenia Konyushkova
Raphael Sznitman
Pascal Fua
192
38
0
09 Oct 2018
Meta-Learning: A Survey
Meta-Learning: A Survey
Joaquin Vanschoren
FedMLOOD
530
830
0
08 Oct 2018
Learning to Teach in Cooperative Multiagent Reinforcement Learning
Learning to Teach in Cooperative Multiagent Reinforcement Learning
Shayegan Omidshafiei
Dong-Ki Kim
Miao Liu
Gerald Tesauro
Matthew D Riemer
Chris Amato
Murray Campbell
Jonathan P. How
346
142
0
20 May 2018
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