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1911.09162
Cited By
Deep Active Learning: Unified and Principled Method for Query and Training
20 November 2019
Changjian Shui
Fan Zhou
Christian Gagné
Boyu Wang
FedML
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Papers citing
"Deep Active Learning: Unified and Principled Method for Query and Training"
27 / 27 papers shown
Title
Towards Comparable Active Learning
Thorben Werner
Johannes Burchert
Lars Schmidt-Thieme
81
0
0
24 Feb 2025
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
Linxin Song
Jieyu Zhang
Xiaotian Lu
Dinesh Manocha
AI4CE
20
0
0
19 Jun 2023
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
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
Zohreh Aghababaeyan
Manel Abdellatif
Mahboubeh Dadkhah
Lionel C. Briand
AAML
34
16
0
08 Mar 2023
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
Siting Liang
Mareike Hartmann
Daniel Sonntag
23
3
0
24 Jan 2023
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
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
Puzuo Wang
W. Yao
Jiejing Shao
33
17
0
23 Nov 2022
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
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
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
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
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
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
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
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
Shirong Shen
Zhen Li
Guilin Qi
24
1
0
26 Nov 2021
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
R. Krishnan
Nilesh A. Ahuja
Alok Sinha
Mahesh Subedar
Omesh Tickoo
Ravi Iyer
26
1
0
13 Sep 2021
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
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
Rafid Mahmood
Sanja Fidler
M. Law
24
37
0
05 Jun 2021
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
Martin Mundt
Yongjun Hong
Iuliia Pliushch
Visvanathan Ramesh
CLL
30
146
0
03 Sep 2020
1