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Frugal Reinforcement-based Active Learning

Frugal Reinforcement-based Active Learning

9 December 2022
Sebastien Deschamps
H. Sahbi
ArXivPDFHTML

Papers citing "Frugal Reinforcement-based Active Learning"

41 / 41 papers shown
Title
Learning Connectivity with Graph Convolutional Networks for
  Skeleton-based Action Recognition
Learning Connectivity with Graph Convolutional Networks for Skeleton-based Action Recognition
H. Sahbi
GNN
51
27
0
06 Dec 2021
Deep Visual Domain Adaptation
Deep Visual Domain Adaptation
G. Csurka
OOD
178
185
0
28 Dec 2020
Contextual Diversity for Active Learning
Contextual Diversity for Active Learning
Sharat Agarwal
H. Arora
Saket Anand
Chetan Arora
81
167
0
13 Aug 2020
DEAL: Deep Evidential Active Learning for Image Classification
DEAL: Deep Evidential Active Learning for Image Classification
Patrick Hemmer
Niklas Kühl
Jakob Schöffer
43
38
0
22 Jul 2020
Bayesian Batch Active Learning as Sparse Subset Approximation
Bayesian Batch Active Learning as Sparse Subset Approximation
Robert Pinsler
Jonathan Gordon
Eric T. Nalisnick
José Miguel Hernández-Lobato
UQCV
36
132
0
06 Aug 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian
  Active Learning
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning
Andreas Kirsch
Joost R. van Amersfoort
Y. Gal
FedML
51
624
0
19 Jun 2019
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds
Jordan T. Ash
Chicheng Zhang
A. Krishnamurthy
John Langford
Alekh Agarwal
BDL
UQCV
65
762
0
09 Jun 2019
Learning Loss for Active Learning
Learning Loss for Active Learning
Donggeun Yoo
In So Kweon
UQCV
63
658
0
09 May 2019
Self-supervised Visual Feature Learning with Deep Neural Networks: A
  Survey
Self-supervised Visual Feature Learning with Deep Neural Networks: A Survey
Longlong Jing
Yingli Tian
SSL
96
1,692
0
16 Feb 2019
A Comprehensive Survey on Graph Neural Networks
A Comprehensive Survey on Graph Neural Networks
Zonghan Wu
Shirui Pan
Fengwen Chen
Guodong Long
Chengqi Zhang
Philip S. Yu
FaML
GNN
AI4TS
AI4CE
312
8,441
0
03 Jan 2019
Active Learning for Deep Object Detection
Active Learning for Deep Object Detection
C. Brust
Christoph Käding
Joachim Denzler
VLM
ObjD
38
115
0
26 Sep 2018
Adaptive Sampling Towards Fast Graph Representation Learning
Adaptive Sampling Towards Fast Graph Representation Learning
Wen-bing Huang
Tong Zhang
Yu Rong
Junzhou Huang
GNN
63
490
0
14 Sep 2018
Constrained Generation of Semantically Valid Graphs via Regularizing
  Variational Autoencoders
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders
Tengfei Ma
Jie Chen
Cao Xiao
106
208
0
07 Sep 2018
Adversarial Sampling for Active Learning
Adversarial Sampling for Active Learning
Christoph Mayer
Radu Timofte
GAN
109
116
0
20 Aug 2018
Large-Scale Learnable Graph Convolutional Networks
Large-Scale Learnable Graph Convolutional Networks
Hongyang Gao
Zhengyang Wang
Shuiwang Ji
GNN
66
589
0
12 Aug 2018
Is Q-learning Provably Efficient?
Is Q-learning Provably Efficient?
Chi Jin
Zeyuan Allen-Zhu
Sébastien Bubeck
Michael I. Jordan
OffRL
52
801
0
10 Jul 2018
Cost-effective Object Detection: Active Sample Mining with Switchable
  Selection Criteria
Cost-effective Object Detection: Active Sample Mining with Switchable Selection Criteria
Keze Wang
Liang Lin
Xiaopeng Yan
Ziliang Chen
Dongyu Zhang
Lei Zhang
ObjD
73
32
0
30 Jun 2018
Efficient Active Learning for Image Classification and Segmentation
  using a Sample Selection and Conditional Generative Adversarial Network
Efficient Active Learning for Image Classification and Segmentation using a Sample Selection and Conditional Generative Adversarial Network
Dwarikanath Mahapatra
Behzad Bozorgtabar
Jean-Philippe Thiran
M. Reyes
GAN
MedIm
67
176
0
14 Jun 2018
Meta-Learning Transferable Active Learning Policies by Deep
  Reinforcement Learning
Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning
Kunkun Pang
Mingzhi Dong
Yang Wu
Timothy M. Hospedales
OffRL
30
92
0
12 Jun 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal
  Graphs
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs
Jiani Zhang
Xingjian Shi
Junyuan Xie
Hao Ma
Irwin King
Dit-Yan Yeung
GNN
88
573
0
20 Mar 2018
Deep Visual Domain Adaptation: A Survey
Deep Visual Domain Adaptation: A Survey
Mei Wang
Weihong Deng
OOD
47
2,002
0
10 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
118
1,514
0
30 Jan 2018
Adaptive Graph Convolutional Neural Networks
Adaptive Graph Convolutional Neural Networks
Ruoyu Li
Sheng Wang
Feiyun Zhu
Junzhou Huang
GNN
99
750
0
10 Jan 2018
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Gui-Song Xia
X. Bai
Jian Ding
Zhen Zhu
Serge J. Belongie
Jiebo Luo
Mihai Datcu
Marcello Pelillo
Liangpei Zhang
ObjD
105
2,154
0
28 Nov 2017
Automated Scalable Bayesian Inference via Hilbert Coresets
Automated Scalable Bayesian Inference via Hilbert Coresets
Trevor Campbell
Tamara Broderick
56
127
0
13 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
443
129,831
0
12 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
394
15,066
0
07 Jun 2017
CayleyNets: Graph Convolutional Neural Networks with Complex Rational
  Spectral Filters
CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters
Ron Levie
Federico Monti
Xavier Bresson
M. Bronstein
GNN
122
658
0
22 May 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
213
8,072
0
15 Mar 2017
Learning Active Learning from Data
Learning Active Learning from Data
Ksenia Konyushkova
Raphael Sznitman
Pascal Fua
30
301
0
09 Mar 2017
Generative Adversarial Active Learning
Generative Adversarial Active Learning
Jia Jie Zhu
José Bento
GAN
37
183
0
25 Feb 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNN
SSL
439
28,901
0
09 Sep 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
249
7,622
0
30 Jun 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
294
14,196
0
23 Feb 2016
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
478
27,231
0
02 Dec 2015
Gated Graph Sequence Neural Networks
Gated Graph Sequence Neural Networks
Yujia Li
Daniel Tarlow
Marc Brockschmidt
R. Zemel
GNN
262
3,271
0
17 Nov 2015
Diffusion-Convolutional Neural Networks
Diffusion-Convolutional Neural Networks
James Atwood
Don Towsley
GNN
DiffM
140
1,248
0
06 Nov 2015
Deep Convolutional Networks on Graph-Structured Data
Deep Convolutional Networks on Graph-Structured Data
Mikael Henaff
Joan Bruna
Yann LeCun
GNN
129
1,585
0
16 Jun 2015
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
470
9,233
0
06 Jun 2015
Unsupervised Visual Representation Learning by Context Prediction
Unsupervised Visual Representation Learning by Context Prediction
Carl Doersch
Abhinav Gupta
Alexei A. Efros
DRL
SSL
150
2,777
0
19 May 2015
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
128
4,856
0
21 Dec 2013
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