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A Survey of Deep Active Learning

A Survey of Deep Active Learning

30 August 2020
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Brij B. Gupta
Xiaojiang Chen
Xin Wang
ArXivPDFHTML

Papers citing "A Survey of Deep Active Learning"

50 / 120 papers shown
Title
Progressive Volume Distillation with Active Learning for Efficient NeRF
  Architecture Conversion
Progressive Volume Distillation with Active Learning for Efficient NeRF Architecture Conversion
Shuangkang Fang
Yufeng Wang
Yezhou Yang
Weixin Xu
He-Xuan Wang
Wenrui Ding
Shuchang Zhou
21
7
0
08 Apr 2023
Optimizing the Procedure of CT Segmentation Labeling
Optimizing the Procedure of CT Segmentation Labeling
Yaroslav Zharov
T. Baumbach
Vincent Heuveline
27
0
0
24 Mar 2023
EdgeTran: Co-designing Transformers for Efficient Inference on Mobile
  Edge Platforms
EdgeTran: Co-designing Transformers for Efficient Inference on Mobile Edge Platforms
Shikhar Tuli
N. Jha
36
3
0
24 Mar 2023
Streaming Active Learning with Deep Neural Networks
Streaming Active Learning with Deep Neural Networks
Akanksha Saran
Safoora Yousefi
A. Krishnamurthy
John Langford
Jordan T. Ash
32
15
0
05 Mar 2023
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
Dirichlet-based Uncertainty Calibration for Active Domain Adaptation
Mixue Xie
Shuang Li
Rui Zhang
Chi Harold Liu
UQCV
38
29
0
27 Feb 2023
Correlation Clustering with Active Learning of Pairwise Similarities
Correlation Clustering with Active Learning of Pairwise Similarities
Linus Aronsson
M. Chehreghani
18
4
0
20 Feb 2023
Active learning for data streams: a survey
Active learning for data streams: a survey
Davide Cacciarelli
M. Kulahci
28
40
0
17 Feb 2023
Identifying Adversarially Attackable and Robust Samples
Identifying Adversarially Attackable and Robust Samples
Vyas Raina
Mark J. F. Gales
AAML
25
3
0
30 Jan 2023
Cross-lingual German Biomedical Information Extraction: from Zero-shot
  to Human-in-the-Loop
Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop
Siting Liang
Mareike Hartmann
Daniel Sonntag
16
3
0
24 Jan 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
31
26
0
23 Jan 2023
Self-Supervised Learning for Data Scarcity in a Fatigue Damage
  Prognostic Problem
Self-Supervised Learning for Data Scarcity in a Fatigue Damage Prognostic Problem
A. Akrim
C. Gogu
R. Vingerhoeds
M. Salaün
AI4CE
27
23
0
20 Jan 2023
Scalable Batch Acquisition for Deep Bayesian Active Learning
Scalable Batch Acquisition for Deep Bayesian Active Learning
Aleksandr Rubashevskii
Daria A. Kotova
Maxim Panov
BDL
19
3
0
13 Jan 2023
Data-centric AI: Perspectives and Challenges
Data-centric AI: Perspectives and Challenges
Daochen Zha
Zaid Pervaiz Bhat
Kwei-Herng Lai
Fan Yang
Xia Hu
17
67
0
12 Jan 2023
Bayesian posterior approximation with stochastic ensembles
Bayesian posterior approximation with stochastic ensembles
Oleksandr Balabanov
Bernhard Mehlig
H. Linander
BDL
UQCV
27
5
0
15 Dec 2022
Enhanced prediction accuracy with uncertainty quantification in
  monitoring CO2 sequestration using convolutional neural networks
Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks
Yanhua Liu
Xitong Zhang
I. Tsvankin
Youzuo Lin
17
1
0
08 Dec 2022
Dissimilar Nodes Improve Graph Active Learning
Dissimilar Nodes Improve Graph Active Learning
Zhicheng Ren
Yifu Yuan
Yuxin Wu
Xiaxuan Gao
Yewen Wang
Yizhou Sun
21
3
0
05 Dec 2022
Deep Active Learning for Multi-Label Classification of Remote Sensing
  Images
Deep Active Learning for Multi-Label Classification of Remote Sensing Images
Lars Möllenbrok
Gencer Sumbul
Begum Demir
13
8
0
02 Dec 2022
AL-iGAN: An Active Learning Framework for Tunnel Geological
  Reconstruction Based on TBM Operational Data
AL-iGAN: An Active Learning Framework for Tunnel Geological Reconstruction Based on TBM Operational Data
Hao Wang
Lixue Liu
Xueguan Song
Chao Zhang
Dacheng Tao
GAN
AI4CE
19
0
0
02 Dec 2022
One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud
  Semantic Segmentation with Active Learning
One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning
Puzuo Wang
W. Yao
Jiejing Shao
33
17
0
23 Nov 2022
Promises and Pitfalls of Threshold-based Auto-labeling
Promises and Pitfalls of Threshold-based Auto-labeling
Harit Vishwakarma
Heguang Lin
Frederic Sala
Ramya Korlakai Vinayak
26
9
0
22 Nov 2022
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive
  Survey
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey
Yuecong Xu
Haozhi Cao
Zhenghua Chen
Xiaoli Li
Lihua Xie
Jianfei Yang
24
14
0
17 Nov 2022
Seeded iterative clustering for histology region identification
Seeded iterative clustering for histology region identification
Eduard Chelebian
F. Ciompi
C. Wählby
20
2
0
14 Nov 2022
Oracle-guided Contrastive Clustering
Oracle-guided Contrastive Clustering
Mengdie Wang
Liyuan Shang
Suyun Zhao
Yiming Wang
Hong Chen
Cuiping Li
Xizhao Wang
14
0
0
01 Nov 2022
Radically Lower Data-Labeling Costs for Visually Rich Document
  Extraction Models
Radically Lower Data-Labeling Costs for Visually Rich Document Extraction Models
Yichao Zhou
James Bradley Wendt
Navneet Potti
Jing Xie
Sandeep Tata
VLM
29
1
0
28 Oct 2022
An Adversarial Active Sampling-based Data Augmentation Framework for
  Manufacturable Chip Design
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design
Mingjie Liu
Haoyu Yang
Zong-Yi Li
K. Sastry
S. Mukhopadhyay
Selim Dogru
Anima Anandkumar
D. Pan
Brucek Khailany
Haoxing Ren
35
3
0
27 Oct 2022
A Survey of Active Learning for Natural Language Processing
A Survey of Active Learning for Natural Language Processing
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
LM&MA
30
65
0
18 Oct 2022
TiDAL: Learning Training Dynamics for Active Learning
TiDAL: Learning Training Dynamics for Active Learning
Seong Min Kye
Kwanghee Choi
Hyeongmin Byun
Buru Chang
31
13
0
13 Oct 2022
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
Denis Huseljic
M. Herde
Lukas Rauch
Paul Hahn
Zhixin Huang
D. Kottke
S. Vogt
Bernhard Sick
BDL
16
0
0
12 Oct 2022
Learning functional sections in medical conversations: iterative
  pseudo-labeling and human-in-the-loop approach
Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach
Mengqian Wang
Ilya Valmianski
X. Amatriain
Anitha Kannan
26
2
0
06 Oct 2022
Efficient Methods for Natural Language Processing: A Survey
Efficient Methods for Natural Language Processing: A Survey
Marcos Vinícius Treviso
Ji-Ung Lee
Tianchu Ji
Betty van Aken
Qingqing Cao
...
Emma Strubell
Niranjan Balasubramanian
Leon Derczynski
Iryna Gurevych
Roy Schwartz
28
109
0
31 Aug 2022
Active Learning with Effective Scoring Functions for Semi-Supervised Temporal Action Localization
Ding Li
Xuebing Yang
Yongqiang Tang
Chenyang Zhang
Wensheng Zhang
29
4
0
31 Aug 2022
Good Time to Ask: A Learning Framework for Asking for Help in Embodied
  Visual Navigation
Good Time to Ask: A Learning Framework for Asking for Help in Embodied Visual Navigation
Jenny Zhang
Samson Yu
Jiafei Duan
Cheston Tan
31
4
0
20 Jun 2022
Tyger: Task-Type-Generic Active Learning for Molecular Property
  Prediction
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction
Kuangqi Zhou
Kaixin Wang
Jiashi Feng
Jian Tang
Tingyang Xu
Xinchao Wang
26
1
0
23 May 2022
Self-supervised Assisted Active Learning for Skin Lesion Segmentation
Self-supervised Assisted Active Learning for Skin Lesion Segmentation
Ziyuan Zhao
Wenjing Lu
Zeng Zeng
Kaixin Xu
B. Veeravalli
Cuntai Guan
21
8
0
14 May 2022
A Chit-Chats Enhanced Task-Oriented Dialogue Corpora for Fuse-Motive
  Conversation Systems
A Chit-Chats Enhanced Task-Oriented Dialogue Corpora for Fuse-Motive Conversation Systems
Changhong Yu
Chunhong Zhang
Qibo Sun
29
1
0
12 May 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and
  Vibroacoustic
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic
Barbara Z Cunha
C. Droz
A. Zine
Stéphane Foulard
M. Ichchou
AI4CE
29
84
0
13 Apr 2022
Discovering and forecasting extreme events via active learning in neural
  operators
Discovering and forecasting extreme events via active learning in neural operators
Ethan Pickering
Stephen Guth
George Karniadakis
T. Sapsis
AI4CE
11
57
0
05 Apr 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
24
105
0
25 Mar 2022
Was that so hard? Estimating human classification difficulty
Was that so hard? Estimating human classification difficulty
Morten Rieger Hannemose
Josefine Vilsbøll Sundgaard
N. K. Ternov
Rasmus Paulsen
Anders Christensen
12
4
0
22 Mar 2022
AI Autonomy : Self-Initiated Open-World Continual Learning and
  Adaptation
AI Autonomy : Self-Initiated Open-World Continual Learning and Adaptation
Bing-Quan Liu
Sahisnu Mazumder
Eric Robertson
Scott Grigsby
CLL
AI4CE
30
21
0
17 Mar 2022
Bamboo: Building Mega-Scale Vision Dataset Continually with
  Human-Machine Synergy
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
Yuanhan Zhang
Qi Sun
Yichun Zhou
Zexin He
Zhen-fei Yin
Kunze Wang
Lu Sheng
Yu Qiao
Jing Shao
Ziwei Liu
ObjD
VLM
21
19
0
15 Mar 2022
Informative Path Planning for Active Learning in Aerial Semantic Mapping
Informative Path Planning for Active Learning in Aerial Semantic Mapping
Julius Ruckin
Liren Jin
Federico Magistri
C. Stachniss
Marija Popović
27
11
0
03 Mar 2022
An Active and Contrastive Learning Framework for Fine-Grained Off-Road
  Semantic Segmentation
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation
Biao Gao
Xijun Zhao
Huijing Zhao
39
12
0
18 Feb 2022
A Survey on Programmatic Weak Supervision
A Survey on Programmatic Weak Supervision
Jieyu Zhang
Cheng-Yu Hsieh
Yue Yu
Chao Zhang
Alexander Ratner
24
91
0
11 Feb 2022
Federated Active Learning (F-AL): an Efficient Annotation Strategy for
  Federated Learning
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning
J. Ahn
Yeeun Ma
Seoyun Park
Cheolwoo You
FedML
37
22
0
01 Feb 2022
Partition-Based Active Learning for Graph Neural Networks
Partition-Based Active Learning for Graph Neural Networks
Jiaqi Ma
Ziqiao Ma
Joyce Chai
Qiaozhu Mei
24
15
0
23 Jan 2022
Towards General and Efficient Active Learning
Towards General and Efficient Active Learning
Yichen Xie
M. Tomizuka
Wei Zhan
VLM
35
10
0
15 Dec 2021
CoNeRF: Controllable Neural Radiance Fields
CoNeRF: Controllable Neural Radiance Fields
Kacper Kania
K. M. Yi
Marek Kowalski
Tomasz Trzciñski
Andrea Tagliasacchi
AI4CE
22
77
0
03 Dec 2021
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D
  Consistency
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency
Devendra Singh Chaplot
Murtaza Dalal
Saurabh Gupta
Jitendra Malik
Ruslan Salakhutdinov
27
74
0
02 Dec 2021
ILabel: Interactive Neural Scene Labelling
ILabel: Interactive Neural Scene Labelling
Shuaifeng Zhi
Edgar Sucar
A. Mouton
I. Haughton
Tristan Laidlow
Andrew J. Davison
3DV
13
34
0
29 Nov 2021
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