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Reducing Label Effort: Self-Supervised meets Active Learning

Reducing Label Effort: Self-Supervised meets Active Learning

25 August 2021
Javad Zolfaghari Bengar
Joost van de Weijer
Bartlomiej Twardowski
Bogdan Raducanu
    VLM
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Papers citing "Reducing Label Effort: Self-Supervised meets Active Learning"

36 / 36 papers shown
Title
Mixtraining: A Better Trade-Off Between Compute and Performance
Mixtraining: A Better Trade-Off Between Compute and Performance
Zexin Li
Jiancheng Zhang
Yufei Li
Yinglun Zhu
Cong Liu
51
0
0
26 Feb 2025
Exploring learning environments for label\-efficient cancer diagnosis
Exploring learning environments for label\-efficient cancer diagnosis
Samta Rani
T. Ahmad
Sarfaraz Masood
Chandni Saxena
20
0
0
15 Aug 2024
Making Better Use of Unlabelled Data in Bayesian Active Learning
Making Better Use of Unlabelled Data in Bayesian Active Learning
Freddie Bickford-Smith
Adam Foster
Tom Rainforth
36
3
0
26 Apr 2024
Modular Deep Active Learning Framework for Image Annotation: A Technical
  Report for the Ophthalmo-AI Project
Modular Deep Active Learning Framework for Image Annotation: A Technical Report for the Ophthalmo-AI Project
Md Abdul Kadir
Hasan Md Tusfiqur Alam
Pascale Maul
H. Profitlich
Moritz Wolf
Daniel Sonntag
VLM
MedIm
29
0
0
22 Mar 2024
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the
  Context of Pre-trained Models
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained Models
Ziting Wen
Oscar Pizarro
Stefan B. Williams
23
0
0
02 Mar 2024
VeCAF: Vision-language Collaborative Active Finetuning with Training
  Objective Awareness
VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness
Rongyu Zhang
Zefan Cai
Huanrui Yang
Zidong Liu
Denis A. Gudovskiy
...
Kurt Keutzer
Baobao Chang
Yuan Du
Li Du
Shanghang Zhang
VLM
27
1
0
15 Jan 2024
Self-supervised learning of multi-omics embeddings in the low-label,
  high-data regime
Self-supervised learning of multi-omics embeddings in the low-label, high-data regime
Christian John Hurry
Emma Slade
30
0
0
16 Nov 2023
ActiveDC: Distribution Calibration for Active Finetuning
ActiveDC: Distribution Calibration for Active Finetuning
Wenshuai Xu
Zhenhui Hu
Yu Lu
Jinzhou Meng
Qingjie Liu
Yunhong Wang
23
1
0
13 Nov 2023
Improving Online Source-free Domain Adaptation for Object Detection by
  Unsupervised Data Acquisition
Improving Online Source-free Domain Adaptation for Object Detection by Unsupervised Data Acquisition
Xiangyu Shi
Yanyuan Qiao
Qi Wu
Lingqiao Liu
Feras Dayoub
43
0
0
30 Oct 2023
A comprehensive survey on deep active learning in medical image analysis
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
46
22
0
22 Oct 2023
How To Overcome Confirmation Bias in Semi-Supervised Image
  Classification By Active Learning
How To Overcome Confirmation Bias in Semi-Supervised Image Classification By Active Learning
Sandra Gilhuber
Rasmus Hvingelby
Mang Ling Ada Fok
Thomas Seidl
29
1
0
16 Aug 2023
AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning
  and Spatial Post-processing
AutoLTS: Automating Cycling Stress Assessment via Contrastive Learning and Spatial Post-processing
Bo Lin
Shoshanna Saxe
Timothy C. Y. Chan
HAI
41
0
0
15 Aug 2023
PatchSorter: A High Throughput Deep Learning Digital Pathology Tool for
  Object Labeling
PatchSorter: A High Throughput Deep Learning Digital Pathology Tool for Object Labeling
Cedric E Walker
Tasneem Talawalla
R. Toth
Akhil Ambekar
Kien Rea
...
A. Madabhushi
M. Maillard
L. Barisoni
H. Horlings
A. Janowczyk
8
3
0
13 Jul 2023
NTKCPL: Active Learning on Top of Self-Supervised Model by Estimating
  True Coverage
NTKCPL: Active Learning on Top of Self-Supervised Model by Estimating True Coverage
Ziting Wen
Oscar Pizarro
Stefan B. Williams
19
2
0
07 Jun 2023
Augmentation-aware Self-supervised Learning with Conditioned Projector
Augmentation-aware Self-supervised Learning with Conditioned Projector
Marcin Przewike'zlikowski
Mateusz Pyla
Bartosz Zieliñski
Bartlomiej Twardowski
Jacek Tabor
Marek Śmieja
SSL
37
2
0
31 May 2023
Active Finetuning: Exploiting Annotation Budget in the
  Pretraining-Finetuning Paradigm
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm
Yichen Xie
Han Lu
Junchi Yan
Xiaokang Yang
M. Tomizuka
Wei Zhan
38
30
0
25 Mar 2023
Distributed Traffic Synthesis and Classification in Edge Networks: A
  Federated Self-supervised Learning Approach
Distributed Traffic Synthesis and Classification in Edge Networks: A Federated Self-supervised Learning Approach
Yong Xiao
Rong Xia
Yingyu Li
Guangming Shi
Diep N. Nguyen
D. Hoang
Dusit Niyato
Marwan Krunz
21
12
0
01 Feb 2023
Navigating the Pitfalls of Active Learning Evaluation: A Systematic
  Framework for Meaningful Performance Assessment
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment
Carsten T. Lüth
Till J. Bungert
Lukas Klein
Paul F. Jaeger
21
10
0
25 Jan 2023
Active learning for medical image segmentation with stochastic batches
Active learning for medical image segmentation with stochastic batches
Mélanie Gaillochet
Christian Desrosiers
H. Lombaert
UQCV
27
20
0
18 Jan 2023
MoBYv2AL: Self-supervised Active Learning for Image Classification
MoBYv2AL: Self-supervised Active Learning for Image Classification
Razvan Caramalau
Binod Bhattarai
Danail Stoyanov
Tae-Kyun Kim
SSL
22
7
0
04 Jan 2023
Deep Active Learning Using Barlow Twins
Deep Active Learning Using Barlow Twins
J. Mandivarapu
Blake Camp
Rolando Estrada
SSL
19
0
0
30 Dec 2022
Deep Active Learning for Computer Vision: Past and Future
Deep Active Learning for Computer Vision: Past and Future
Rinyoichi Takezoe
Xu Liu
Shunan Mao
Marco Tianyu Chen
Zhanpeng Feng
Shiliang Zhang
Xiaoyu Wang
VLM
35
19
0
27 Nov 2022
Deep Active Ensemble Sampling For Image Classification
Deep Active Ensemble Sampling For Image Classification
S. Mohamadi
Gianfranco Doretto
Donald Adjeroh
UQCV
15
9
0
11 Oct 2022
Making Your First Choice: To Address Cold Start Problem in Vision Active
  Learning
Making Your First Choice: To Address Cold Start Problem in Vision Active Learning
Liangyu Chen
Yutong Bai
Siyu Huang
Yongyi Lu
B. Wen
Alan Yuille
Zongwei Zhou
14
23
0
05 Oct 2022
Active Transfer Prototypical Network: An Efficient Labeling Algorithm
  for Time-Series Data
Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data
Yuqi Zhu
M. Tnani
Timo Jahnz
Klaus Diepold
11
0
0
28 Sep 2022
ActiveNeRF: Learning where to See with Uncertainty Estimation
ActiveNeRF: Learning where to See with Uncertainty Estimation
Xuran Pan
Zihang Lai
Shiji Song
Gao Huang
8
105
0
18 Sep 2022
Warm Start Active Learning with Proxy Labels \& Selection via
  Semi-Supervised Fine-Tuning
Warm Start Active Learning with Proxy Labels \& Selection via Semi-Supervised Fine-Tuning
V. Nath
Dong Yang
H. Roth
Daguang Xu
38
25
0
13 Sep 2022
Aries: Efficient Testing of Deep Neural Networks via Labeling-Free
  Accuracy Estimation
Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation
Qiang Hu
Yuejun Guo
Xiaofei Xie
Maxime Cordy
Lei Ma
Mike Papadakis
Yves Le Traon
AAML
12
17
0
22 Jul 2022
Active Learning Through a Covering Lens
Active Learning Through a Covering Lens
Ofer Yehuda
Avihu Dekel
Guy Hacohen
D. Weinshall
11
48
0
23 May 2022
Active Learning on a Budget: Opposite Strategies Suit High and Low
  Budgets
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
Guy Hacohen
Avihu Dekel
D. Weinshall
124
116
0
06 Feb 2022
PT4AL: Using Self-Supervised Pretext Tasks for Active Learning
PT4AL: Using Self-Supervised Pretext Tasks for Active Learning
J. S. K. Yi
Min-seok Seo
Jongchan Park
Dong-Geol Choi
SSL
VLM
32
41
0
19 Jan 2022
Rethinking the Data Annotation Process for Multi-view 3D Pose Estimation
  with Active Learning and Self-Training
Rethinking the Data Annotation Process for Multi-view 3D Pose Estimation with Active Learning and Self-Training
Qi Feng
Kun He
He Wen
Cem Keskin
Yuting Ye
3DH
29
8
0
27 Dec 2021
Self-supervised Semi-supervised Learning for Data Labeling and Quality
  Evaluation
Self-supervised Semi-supervised Learning for Data Labeling and Quality Evaluation
Haoping Bai
Mengyao Cao
Ping-Chia Huang
Jiulong Shan
SSL
23
10
0
22 Nov 2021
Class-Balanced Active Learning for Image Classification
Class-Balanced Active Learning for Image Classification
Javad Zolfaghari Bengar
Joost van de Weijer
Laura Lopez-Fuentes
Bogdan Raducanu
6
22
0
09 Oct 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
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
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