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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 / 112 papers shown
Title
Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams
Combining Abstract Argumentation and Machine Learning for Efficiently Analyzing Low-Level Process Event Streams
Bettina Fazzinga
Sergio Flesca
F. Furfaro
Luigi Pontieri
Francesco Scala
19
0
0
09 May 2025
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
Enhancing Treatment Effect Estimation via Active Learning: A Counterfactual Covering Perspective
Hechuan Wen
Tong Chen
Mingming Gong
Li Kheng Chai
S. Sadiq
Hongzhi Yin
CML
58
0
0
08 May 2025
Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise
Balancing Accuracy, Calibration, and Efficiency in Active Learning with Vision Transformers Under Label Noise
Moseli Motsóehli
Hope Mogale
Kyungim Baek
38
0
0
07 May 2025
TActiLE: Tiny Active LEarning for wearable devices
TActiLE: Tiny Active LEarning for wearable devices
Massimo Pavan
Claudio Galimberti
Manuel Roveri
19
0
0
02 May 2025
JailbreaksOverTime: Detecting Jailbreak Attacks Under Distribution Shift
JailbreaksOverTime: Detecting Jailbreak Attacks Under Distribution Shift
Julien Piet
Xiao Huang
Dennis Jacob
Annabella Chow
Maha Alrashed
Geng Zhao
Zhanhao Hu
Chawin Sitawarin
Basel Alomair
David A. Wagner
AAML
70
0
0
28 Apr 2025
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments
Yun Qu
W. Wang
Yixiu Mao
Yiqin Lv
Xiangyang Ji
TTA
90
0
0
27 Apr 2025
Co-Training with Active Contrastive Learning and Meta-Pseudo-Labeling on 2D Projections for Deep Semi-Supervised Learning
Co-Training with Active Contrastive Learning and Meta-Pseudo-Labeling on 2D Projections for Deep Semi-Supervised Learning
David Aparco-Cardenas
Jancarlo F. Gomes
Alexandre X. Falcão
Pedro J. de Rezende
46
0
0
25 Apr 2025
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization
Enhancing Multimodal In-Context Learning for Image Classification through Coreset Optimization
Huiyi Chen
Jiawei Peng
Kaihua Tang
Xin Geng
Xu Yang
22
0
0
19 Apr 2025
Learning Nash Equilibrial Hamiltonian for Two-Player Collision-Avoiding Interactions
Learning Nash Equilibrial Hamiltonian for Two-Player Collision-Avoiding Interactions
Lei Zhang
Siddharth Das
Tanner Merry
Wenlong Zhang
Yi Ren
52
0
0
10 Mar 2025
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
Rethinking Epistemic and Aleatoric Uncertainty for Active Open-Set Annotation: An Energy-Based Approach
Chen-Chen Zong
Sheng-Jun Huang
EDL
90
0
0
27 Feb 2025
Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model
Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model
Shiryu Ueno
Yoshikazu Hayashi
Shunsuke Nakatsuka
Yusei Yamada
Hiroaki Aizawa
K. Kato
MLLM
VLM
99
0
0
13 Feb 2025
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation
M. Valiuddin
R. V. Sloun
C.G.A. Viviers
Peter H. N. de With
Fons van der Sommen
UQCV
89
1
0
25 Nov 2024
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning
Peter Eckmann
D. Wu
G. Heinzelmann
Michael K. Gilson
Rose Yu
AI4CE
40
0
0
15 Oct 2024
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation
Ye-Wen Wang
Chen-Chen Zong
Ming-Kun Xie
Sheng-Jun Huang
23
0
0
26 Sep 2024
Robust Offline Active Learning on Graphs
Robust Offline Active Learning on Graphs
Yuanchen Wu
Yubai Yuan
OffRL
21
0
0
15 Aug 2024
CALICO: Confident Active Learning with Integrated Calibration
CALICO: Confident Active Learning with Integrated Calibration
L. S. Querol
Hajime Nagahara
Hideaki Hayashi
21
0
0
02 Jul 2024
Assistive Image Annotation Systems with Deep Learning and Natural
  Language Capabilities: A Review
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review
Moseli Motsóehli
VLM
3DV
30
0
0
28 Jun 2024
DLP: towards active defense against backdoor attacks with decoupled
  learning process
DLP: towards active defense against backdoor attacks with decoupled learning process
Zonghao Ying
Bin Wu
AAML
44
6
0
18 Jun 2024
Online Bandit Learning with Offline Preference Data for Improved RLHF
Online Bandit Learning with Offline Preference Data for Improved RLHF
Akhil Agnihotri
Rahul Jain
Deepak Ramachandran
Zheng Wen
OffRL
37
1
0
13 Jun 2024
Enabling Visual Recognition at Radio Frequency
Enabling Visual Recognition at Radio Frequency
Haowen Lai
Gaoxiang Luo
Yifei Liu
Mingmin Zhao
24
1
0
29 May 2024
Edge-guided and Class-balanced Active Learning for Semantic Segmentation
  of Aerial Images
Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images
Lianlei Shan
Weiqiang Wang
Ke Lv
Bin Luo
VLM
25
0
0
28 May 2024
Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition
Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition
O. Kundacina
V. Vincan
D. Mišković
BDL
98
0
0
03 May 2024
Uncertainty for Active Learning on Graphs
Uncertainty for Active Learning on Graphs
Dominik Fuchsgruber
Tom Wollschlager
Bertrand Charpentier
Antonio Oroz
Stephan Günnemann
38
10
0
02 May 2024
Progressive Knowledge Graph Completion
Progressive Knowledge Graph Completion
Jiayi Li
Ruilin Luo
Jiaqi Sun
Jing Xiao
Yujiu Yang
22
1
0
15 Apr 2024
Uncertainty in Graph Neural Networks: A Survey
Uncertainty in Graph Neural Networks: A Survey
Fangxin Wang
Yuqing Liu
Kay Liu
Yibo Wang
Sourav Medya
Philip S. Yu
AI4CE
48
8
0
11 Mar 2024
Active Statistical Inference
Active Statistical Inference
Tijana Zrnic
Emmanuel J. Candès
24
10
0
05 Mar 2024
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems
Value Preferences Estimation and Disambiguation in Hybrid Participatory Systems
Enrico Liscio
Luciano Cavalcante Siebert
Catholijn M. Jonker
P. Murukannaiah
35
4
0
26 Feb 2024
Direct Acquisition Optimization for Low-Budget Active Learning
Direct Acquisition Optimization for Low-Budget Active Learning
Zhuokai Zhao
Yibo Jiang
Yuxin Chen
31
1
0
08 Feb 2024
Uncertainty quantification for probabilistic machine learning in earth
  observation using conformal prediction
Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction
Geethen Singh
Glenn Moncrieff
Zander Venter
Kerry Cawse-Nicholson
Jasper Slingsby
Tamara B. Robinson
26
13
0
12 Jan 2024
I-CEE: Tailoring Explanations of Image Classification Models to User
  Expertise
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise
Yao Rong
Peizhu Qian
Vaibhav Unhelkar
Enkelejda Kasneci
32
0
0
19 Dec 2023
Semi-supervised Active Learning for Video Action Detection
Semi-supervised Active Learning for Video Action Detection
Aayush Singh
A. J. Rana
Akash Kumar
Shruti Vyas
Y. S. Rawat
28
7
0
12 Dec 2023
FisherRF: Active View Selection and Uncertainty Quantification for
  Radiance Fields using Fisher Information
FisherRF: Active View Selection and Uncertainty Quantification for Radiance Fields using Fisher Information
Wen Jiang
Boshu Lei
Kostas Daniilidis
3DGS
21
31
0
29 Nov 2023
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandit
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandit
Tian Huang
Ke Li
Ke Li
26
1
0
23 Nov 2023
More Samples or More Prompts? Exploring Effective In-Context Sampling
  for LLM Few-Shot Prompt Engineering
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering
Bingsheng Yao
Guiming Hardy Chen
Ruishi Zou
Yuxuan Lu
Jiachen Li
Shao Zhang
Yisi Sang
Sijia Liu
James A. Hendler
Dakuo Wang
35
13
0
16 Nov 2023
Anchor Points: Benchmarking Models with Much Fewer Examples
Anchor Points: Benchmarking Models with Much Fewer Examples
Rajan Vivek
Kawin Ethayarajh
Diyi Yang
Douwe Kiela
ALM
27
21
0
14 Sep 2023
Optimal Sample Selection Through Uncertainty Estimation and Its
  Application in Deep Learning
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning
Yong Lin
Chen Liu
Chen Ye
Qing Lian
Yuan Yao
Tong Zhang
21
3
0
05 Sep 2023
Deep Dive into the Language of International Relations: NLP-based
  Analysis of UNESCO's Summary Records
Deep Dive into the Language of International Relations: NLP-based Analysis of UNESCO's Summary Records
Joanna Wojciechowska
Mateusz Sypniewski
Maria Śmigielska
Igor Kamiñski
Emilia Wisnios
Hanna Schreiber
Bartosz Pieliñski
27
2
0
31 Jul 2023
TableGPT: Towards Unifying Tables, Nature Language and Commands into One
  GPT
TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT
Liangyu Zha
Junlin Zhou
Liyao Li
Rui Wang
Qingyi Huang
...
Xing-yan Deng
J. Xu
Haobo Wang
Gang Chen
J. Zhao
RALM
LMTD
32
42
0
17 Jul 2023
Bayesian inference for data-efficient, explainable, and safe robotic
  motion planning: A review
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review
Chengmin Zhou
Chao Wang
Haseeb Hassan
H. Shah
Bingding Huang
P. Fränti
3DV
30
3
0
16 Jul 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active
  Learning
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning
Vladan Stojnić
Zakaria Laskar
Giorgos Tolias
29
0
0
07 Jul 2023
IAdet: Simplest human-in-the-loop object detection
IAdet: Simplest human-in-the-loop object detection
Franco Marchesoni-Acland
Gabriele Facciolo
VLM
44
1
0
04 Jul 2023
Topology-Aware Uncertainty for Image Segmentation
Topology-Aware Uncertainty for Image Segmentation
Saumya Gupta
Yikai Zhang
Xiaoling Hu
Prateek Prasanna
Chao Chen
28
27
0
09 Jun 2023
Training-Free Neural Active Learning with Initialization-Robustness
  Guarantees
Training-Free Neural Active Learning with Initialization-Robustness Guarantees
Apivich Hemachandra
Zhongxiang Dai
Jasraj Singh
See-Kiong Ng
K. H. Low
AAML
30
6
0
07 Jun 2023
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Patrik Okanovic
R. Waleffe
Vasilis Mageirakos
Konstantinos E. Nikolakakis
Amin Karbasi
Dionysis Kalogerias
Nezihe Merve Gürel
Theodoros Rekatsinas
DD
39
12
0
28 May 2023
Radar-Camera Fusion for Object Detection and Semantic Segmentation in
  Autonomous Driving: A Comprehensive Review
Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review
Shanliang Yao
Runwei Guan
Xiaoyu Huang
Zhuoxiao Li
Xiangyu Sha
...
Eng Gee Lim
H. Seo
Ka Lok Man
Xiaohui Zhu
Yutao Yue
38
91
0
20 Apr 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks
Lorenz Linhardt
Klaus-Robert Muller
G. Montavon
AAML
23
7
0
12 Apr 2023
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
21
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
34
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
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