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Deep Active Learning: Unified and Principled Method for Query and
  Training

Deep Active Learning: Unified and Principled Method for Query and Training

20 November 2019
Changjian Shui
Fan Zhou
Christian Gagné
Boyu Wang
    FedML
ArXivPDFHTML

Papers citing "Deep Active Learning: Unified and Principled Method for Query and Training"

27 / 27 papers shown
Title
Towards Comparable Active Learning
Towards Comparable Active Learning
Thorben Werner
Johannes Burchert
Lars Schmidt-Thieme
81
0
0
24 Feb 2025
Uncertainty for Active Learning on Graphs
Uncertainty for Active Learning on Graphs
Dominik Fuchsgruber
Tom Wollschlager
Bertrand Charpentier
Antonio Oroz
Stephan Günnemann
46
10
0
02 May 2024
Taming Small-sample Bias in Low-budget Active Learning
Taming Small-sample Bias in Low-budget Active Learning
Linxin Song
Jieyu Zhang
Xiaotian Lu
Dinesh Manocha
AI4CE
20
0
0
19 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
36
6
0
07 Jun 2023
StyleDiff: Attribute Comparison Between Unlabeled Datasets in Latent
  Disentangled Space
StyleDiff: Attribute Comparison Between Unlabeled Datasets in Latent Disentangled Space
Keisuke Kawano
Takuro Kutsuna
Ryoko Tokuhisa
Akihiro Nakamura
Yasushi Esaki
31
0
0
09 Mar 2023
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep
  Neural Networks
DeepGD: A Multi-Objective Black-Box Test Selection Approach for Deep Neural Networks
Zohreh Aghababaeyan
Manel Abdellatif
Mahboubeh Dadkhah
Lionel C. Briand
AAML
34
16
0
08 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
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
23
3
0
24 Jan 2023
Deep Active Learning Using Barlow Twins
Deep Active Learning Using Barlow Twins
J. Mandivarapu
Blake Camp
Rolando Estrada
SSL
27
0
0
30 Dec 2022
An Empirical Study on the Efficacy of Deep Active Learning for Image
  Classification
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification
Yu Li
Mu-Hwa Chen
Yannan Liu
Daojing He
Qiang Xu
34
9
0
30 Nov 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
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
32
1
0
28 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
34
13
0
13 Oct 2022
Information Gain Sampling for Active Learning in Medical Image
  Classification
Information Gain Sampling for Active Learning in Medical Image Classification
Raghav Mehta
Changjian Shui
Brennan Nichyporuk
Tal Arbel
19
5
0
01 Aug 2022
Pareto Optimization for Active Learning under Out-of-Distribution Data
  Scenarios
Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios
Xueying Zhan
Zeyu Dai
Qingzhong Wang
Qing Li
Haoyi Xiong
Dejing Dou
Antoni B. Chan
OODD
11
3
0
04 Jul 2022
Neural Program Synthesis with Query
Neural Program Synthesis with Query
Di Huang
Rui Zhang
Xing Hu
Xishan Zhang
Pengwei Jin
Nan Li
Zidong Du
Qi Guo
Yunji Chen
19
2
0
08 May 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
WOOD: Wasserstein-based Out-of-Distribution Detection
WOOD: Wasserstein-based Out-of-Distribution Detection
Yinan Wang
Wenbo Sun
Jionghua Jin
Zhen Kong
Xiaowei Yue
OODD
20
8
0
13 Dec 2021
Active Learning for Domain Adaptation: An Energy-Based Approach
Active Learning for Domain Adaptation: An Energy-Based Approach
Binhui Xie
Longhui Yuan
Shuang Li
Chi Harold Liu
Xinjing Cheng
Guoren Wang
24
107
0
02 Dec 2021
Active Learning for Event Extraction with Memory-based Loss Prediction
  Model
Active Learning for Event Extraction with Memory-based Loss Prediction Model
Shirong Shen
Zhen Li
Guilin Qi
24
1
0
26 Nov 2021
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules
Wei Tan
Lan Du
Wray L. Buntine
16
30
0
27 Oct 2021
Robust Contrastive Active Learning with Feature-guided Query Strategies
Robust Contrastive Active Learning with Feature-guided Query Strategies
R. Krishnan
Nilesh A. Ahuja
Alok Sinha
Mahesh Subedar
Omesh Tickoo
Ravi Iyer
26
1
0
13 Sep 2021
Batch Active Learning at Scale
Batch Active Learning at Scale
Gui Citovsky
Giulia DeSalvo
Claudio Gentile
Lazaros Karydas
Anand Rajagopalan
Afshin Rostamizadeh
Sanjiv Kumar
25
150
0
29 Jul 2021
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
Low Budget Active Learning via Wasserstein Distance: An Integer
  Programming Approach
Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach
Rafid Mahmood
Sanja Fidler
M. Law
24
37
0
05 Jun 2021
Partial Wasserstein Covering
Partial Wasserstein Covering
Keisuke Kawano
Satoshi Koide
Keisuke Otaki
21
3
0
02 Jun 2021
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
30
146
0
03 Sep 2020
1