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Bayesian Generative Active Deep Learning

Bayesian Generative Active Deep Learning

26 April 2019
Toan M. Tran
Thanh-Toan Do
Ian Reid
G. Carneiro
ArXivPDFHTML

Papers citing "Bayesian Generative Active Deep Learning"

27 / 27 papers shown
Title
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection
HeAL3D: Heuristical-enhanced Active Learning for 3D Object Detection
Esteban Rivera
Surya Prabhakaran
Markus Lienkamp
VLM
162
0
0
01 May 2025
SiameseDuo++: Active Learning from Data Streams with Dual Augmented Siamese Networks
SiameseDuo++: Active Learning from Data Streams with Dual Augmented Siamese Networks
Kleanthis Malialis
S. Filippou
C. Panayiotou
Marios M. Polycarpou
AI4TS
29
0
0
06 Apr 2025
CALICO: Confident Active Learning with Integrated Calibration
CALICO: Confident Active Learning with Integrated Calibration
L. S. Querol
Hajime Nagahara
Hideaki Hayashi
25
0
0
02 Jul 2024
A Comprehensive Survey on Data Augmentation
A Comprehensive Survey on Data Augmentation
Zaitian Wang
Pengfei Wang
Kunpeng Liu
Pengyang Wang
Yanjie Fu
Chang-Tien Lu
Charu Aggarwal
Jian Pei
Yuanchun Zhou
ViT
97
21
0
15 May 2024
ADs: Active Data-sharing for Data Quality Assurance in Advanced
  Manufacturing Systems
ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems
Yue Zhao
Yuxuan Li
Chenang Liu
Yinan Wang
22
0
0
31 Mar 2024
Inconsistency-Based Data-Centric Active Open-Set Annotation
Inconsistency-Based Data-Centric Active Open-Set Annotation
Ruiyu Mao
Ouyang Xu
Yunhui Guo
35
3
0
10 Jan 2024
Exploiting Counter-Examples for Active Learning with Partial labels
Exploiting Counter-Examples for Active Learning with Partial labels
Fei Zhang
Yunjie Ye
Lei Feng
Zhongwen Rao
Jieming Zhu
Marcus Kalander
Chen Gong
Jianye Hao
Bo Han
27
0
0
14 Jul 2023
OpenAL: An Efficient Deep Active Learning Framework for Open-Set
  Pathology Image Classification
OpenAL: An Efficient Deep Active Learning Framework for Open-Set Pathology Image Classification
Linhao Qu
Yingfan Ma
Zhiwei Yang
Manning Wang
Zhijian Song
VLM
LM&MA
33
8
0
11 Jul 2023
Prediction-Oriented Bayesian Active Learning
Prediction-Oriented Bayesian Active Learning
Freddie Bickford-Smith
Andreas Kirsch
Sebastian Farquhar
Y. Gal
Adam Foster
Tom Rainforth
29
29
0
17 Apr 2023
Active learning for data streams: a survey
Active learning for data streams: a survey
Davide Cacciarelli
M. Kulahci
19
40
0
17 Feb 2023
Exploring Active 3D Object Detection from a Generalization Perspective
Exploring Active 3D Object Detection from a Generalization Perspective
Yadan Luo
Zhuoxiao Chen
Zijian Wang
Xin Yu
Zi Huang
Mahsa Baktash
3DPC
29
26
0
23 Jan 2023
TiDAL: Learning Training Dynamics for Active Learning
TiDAL: Learning Training Dynamics for Active Learning
Seong Min Kye
Kwanghee Choi
Hyeongmin Byun
Buru Chang
28
13
0
13 Oct 2022
Making Look-Ahead Active Learning Strategies Feasible with Neural
  Tangent Kernels
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels
Mohamad Amin Mohamadi
Wonho Bae
Danica J. Sutherland
28
20
0
25 Jun 2022
A Comparative Survey of Deep Active Learning
A Comparative Survey of Deep Active Learning
Xueying Zhan
Qingzhong Wang
Kuan-Hao Huang
Haoyi Xiong
Dejing Dou
Antoni B. Chan
FedML
HAI
22
105
0
25 Mar 2022
Multi-Domain Active Learning: Literature Review and Comparative Study
Multi-Domain Active Learning: Literature Review and Comparative Study
Ruidan He
Shengcai Liu
Shan He
Ke Tang
OOD
19
14
0
25 Jun 2021
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training
  Object Detection
Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection
Ismail Elezi
Zhiding Yu
Anima Anandkumar
Laura Leal-Taixe
J. Álvarez
ObjD
18
39
0
22 Jun 2021
Graceful Degradation and Related Fields
Graceful Degradation and Related Fields
J. Dymond
31
4
0
21 Jun 2021
Active Deep Learning on Entity Resolution by Risk Sampling
Active Deep Learning on Entity Resolution by Risk Sampling
Youcef Nafa
Qun Chen
Zhaoqiang Chen
Xingyu Lu
Haiyang He
Tianyi Duan
Zhanhuai Li
10
16
0
23 Dec 2020
A Wholistic View of Continual Learning with Deep Neural Networks:
  Forgotten Lessons and the Bridge to Active and Open World Learning
A Wholistic View of Continual Learning with Deep Neural Networks: Forgotten Lessons and the Bridge to Active and Open World Learning
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
24
146
0
03 Sep 2020
Informative Neural Ensemble Kalman Learning
Informative Neural Ensemble Kalman Learning
Margaret Trautner
G. Margolis
S. Ravela
BDL
11
11
0
22 Aug 2020
High-contrast "gaudy" images improve the training of deep neural network
  models of visual cortex
High-contrast "gaudy" images improve the training of deep neural network models of visual cortex
Benjamin R. Cowley
Jonathan W. Pillow
8
10
0
13 Jun 2020
Adversarial Representation Active Learning
Adversarial Representation Active Learning
A. Mottaghi
Serena Yeung
VLM
GAN
17
29
0
20 Dec 2019
Disentanglement based Active Learning
Disentanglement based Active Learning
S. SilpaV
K. Adarsh
S. Sumitra
DRL
13
0
0
15 Dec 2019
Bayesian Cycle-Consistent Generative Adversarial Networks via
  Marginalizing Latent Sampling
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling
Haoran You
Yu Cheng
Tianheng Cheng
Chunliang Li
Pan Zhou
GAN
17
3
0
19 Nov 2018
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
283
10,613
0
19 Feb 2017
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
238
3,190
0
30 Oct 2016
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
9,136
0
06 Jun 2015
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