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Learning Loss for Active Learning

Learning Loss for Active Learning

9 May 2019
Donggeun Yoo
In So Kweon
    UQCV
ArXivPDFHTML

Papers citing "Learning Loss for Active Learning"

50 / 305 papers shown
Title
Uncertainty Quantification Metrics for Deep Regression
Uncertainty Quantification Metrics for Deep Regression
Simon Kristoffersson Lind
Ziliang Xiong
Per-Erik Forssén
Volker Kruger
UQCV
27
3
0
07 May 2024
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
Predictive Accuracy-Based Active Learning for Medical Image Segmentation
Predictive Accuracy-Based Active Learning for Medical Image Segmentation
Jun Shi
Shulan Ruan
Ziqi Zhu
Minfan Zhao
Hong An
Ambuj Tewari
Bing Yan
UQCV
EDL
19
2
0
01 May 2024
A Survey on Deep Active Learning: Recent Advances and New Frontiers
A Survey on Deep Active Learning: Recent Advances and New Frontiers
Dongyuan Li
Zhen Wang
Yankai Chen
Renhe Jiang
Weiping Ding
Manabu Okumura
44
20
0
01 May 2024
Neural Active Learning Beyond Bandits
Neural Active Learning Beyond Bandits
Yikun Ban
Ishika Agarwal
Ziwei Wu
Yada Zhu
Kommy Weldemariam
Hanghang Tong
Jingrui He
35
5
0
18 Apr 2024
Camera clustering for scalable stream-based active distillation
Camera clustering for scalable stream-based active distillation
Dani Manjah
Davide Cacciarelli
Christophe De Vleeschouwer
Benoit Macq
47
1
0
16 Apr 2024
AnchorAL: Computationally Efficient Active Learning for Large and
  Imbalanced Datasets
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
Pietro Lesci
Andreas Vlachos
35
2
0
08 Apr 2024
Active learning for efficient annotation in precision agriculture: a
  use-case on crop-weed semantic segmentation
Active learning for efficient annotation in precision agriculture: a use-case on crop-weed semantic segmentation
Bart M. van Marrewijk
Charbel Dandjinou
D. Rustia
Nicolas Franco Gonzalez
Boubacar Diallo
Jérôme Dias
P. Melki
Pieter M. Blok
18
3
0
03 Apr 2024
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
Qi Liu
Zhuang Yan
Haoyang Bi
Zhenya Huang
Weizhe Huang
...
Z. Pardos
Haiping Ma
Mengxiao Zhu
Shijin Wang
Enhong Chen
AI4Ed
49
9
0
31 Mar 2024
ADs: Active Data-sharing for Data Quality Assurance in Advanced
  Manufacturing Systems
ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems
Yue Zhao
Yuxuan Li
Chenang Liu
Yinan Wang
22
0
0
31 Mar 2024
Deep Active Learning: A Reality Check
Deep Active Learning: A Reality Check
Edrina Gashi
Jiankang Deng
Ismail Elezi
HAI
38
1
0
21 Mar 2024
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous
  Driving
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving
Han Lu
Xiaosong Jia
Yichen Xie
Wenlong Liao
Xiaokang Yang
Junchi Yan
40
13
0
05 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
31
0
0
02 Mar 2024
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for
  Specialized Tasks
Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks
Bálint Mucsányi
Michael Kirchhof
Seong Joon Oh
UQCV
BDL
OODD
431
20
1
29 Feb 2024
Pretrained Visual Uncertainties
Pretrained Visual Uncertainties
Michael Kirchhof
Mark Collier
Seong Joon Oh
Enkelejda Kasneci
UQCV
410
8
1
26 Feb 2024
Semi-supervised Open-World Object Detection
Semi-supervised Open-World Object Detection
Sahal Shaji Mullappilly
Abhishek Singh Gehlot
Rao Muhammad Anwer
Fahad Shahbaz Khan
Hisham Cholakkal
40
4
0
25 Feb 2024
Bidirectional Uncertainty-Based Active Learning for Open Set Annotation
Bidirectional Uncertainty-Based Active Learning for Open Set Annotation
Chen-Chen Zong
Ye-Wen Wang
Kun-Peng Ning
Hai-Bo Ye
Sheng-Jun Huang
EDL
26
3
0
23 Feb 2024
Computer Vision for Primate Behavior Analysis in the Wild
Computer Vision for Primate Behavior Analysis in the Wild
Richard Vogg
Timo Lüddecke
Jonathan Henrich
Sharmita Dey
Matthias Nuske
...
Alexander Gail
Stefan Treue
H. Scherberger
F. Worgotter
Alexander S. Ecker
35
3
0
29 Jan 2024
Querying Easily Flip-flopped Samples for Deep Active Learning
Querying Easily Flip-flopped Samples for Deep Active Learning
S. Cho
G. Kim
Junghyun Lee
Jinwoo Shin
Chang D. Yoo
26
6
0
18 Jan 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
35
1
0
15 Jan 2024
Compute-Efficient Active Learning
Compute-Efficient Active Learning
Gábor Németh
Tamás Matuszka
34
1
0
15 Jan 2024
Zero-shot Active Learning Using Self Supervised Learning
Zero-shot Active Learning Using Self Supervised Learning
Abhishek Sinha
Shreya Singh
23
1
0
03 Jan 2024
Reinforcement-based Display-size Selection for Frugal Satellite Image
  Change Detection
Reinforcement-based Display-size Selection for Frugal Satellite Image Change Detection
H. Sahbi
29
0
0
28 Dec 2023
DeLR: Active Learning for Detection with Decoupled Localization and
  Recognition Query
DeLR: Active Learning for Detection with Decoupled Localization and Recognition Query
Yuhang Zhang
Yuang Deng
Xiaopeng Zhang
Jie Li
Robert C. Qiu
Qi Tian
ObjD
55
0
0
28 Dec 2023
A Self Supervised StyleGAN for Image Annotation and Classification with
  Extremely Limited Labels
A Self Supervised StyleGAN for Image Annotation and Classification with Extremely Limited Labels
Dana Cohen Hochberg
H. Greenspan
Raja Giryes
29
11
0
26 Dec 2023
On the Convergence of Loss and Uncertainty-based Active Learning
  Algorithms
On the Convergence of Loss and Uncertainty-based Active Learning Algorithms
Daniel Haimovich
Dima Karamshuk
Fridolin Linder
Niek Tax
Milan Vojnovic
26
0
0
21 Dec 2023
Benchmarking of Query Strategies: Towards Future Deep Active Learning
Benchmarking of Query Strategies: Towards Future Deep Active Learning
Shiryu Ueno
Yusei Yamada
Shunsuke Nakatsuka
Kunihito Kato
FedML
11
2
0
10 Dec 2023
Transferable Candidate Proposal with Bounded Uncertainty
Transferable Candidate Proposal with Bounded Uncertainty
Kyeongryeol Go
Kye-Hyeon Kim
31
0
0
07 Dec 2023
Think Twice Before Selection: Federated Evidential Active Learning for
  Medical Image Analysis with Domain Shifts
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts
Jiayi Chen
Benteng Ma
Hengfei Cui
Yong-quan Xia
OOD
FedML
29
12
0
05 Dec 2023
Federated Active Learning for Target Domain Generalisation
Federated Active Learning for Target Domain Generalisation
Razvan Caramalau
Binod Bhattarai
Danail Stoyanov
OOD
FedML
32
1
0
04 Dec 2023
One-bit Supervision for Image Classification: Problem, Solution, and
  Beyond
One-bit Supervision for Image Classification: Problem, Solution, and Beyond
Hengtong Hu
Lingxi Xie
Xinyue Huo
Richang Hong
Qi Tian
SSL
31
2
0
26 Nov 2023
Online Continual Knowledge Learning for Language Models
Online Continual Knowledge Learning for Language Models
Yuhao Wu
Tongjun Shi
Karthick Sharma
Chun Seah
Shuhao Zhang
CLL
KELM
28
4
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
26
1
0
13 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring
OpenForest: A data catalogue for machine learning in forest monitoring
Arthur Ouaknine
T. Kattenborn
Etienne Laliberté
David Rolnick
51
5
0
01 Nov 2023
Learning to Rank for Active Learning via Multi-Task Bilevel Optimization
Learning to Rank for Active Learning via Multi-Task Bilevel Optimization
Zixin Ding
Si-An Chen
Ruoxi Jia
Yuxin Chen
35
1
0
25 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
Towards Open World Active Learning for 3D Object Detection
Towards Open World Active Learning for 3D Object Detection
Zhuoxiao Chen
Yadan Luo
Zixin Wang
Zijian Wang
Xin Yu
Zi Huang
32
0
0
16 Oct 2023
Automated Detection of Cat Facial Landmarks
Automated Detection of Cat Facial Landmarks
G.A. Martvel
I. Shimshoni
Anna Zamansky
CVBM
24
13
0
15 Oct 2023
A Partially Supervised Reinforcement Learning Framework for Visual
  Active Search
A Partially Supervised Reinforcement Learning Framework for Visual Active Search
Anindya Sarkar
Nathan Jacobs
Yevgeniy Vorobeychik
35
2
0
15 Oct 2023
BaSAL: Size-Balanced Warm Start Active Learning for LiDAR Semantic
  Segmentation
BaSAL: Size-Balanced Warm Start Active Learning for LiDAR Semantic Segmentation
Jiarong Wei
Yancong Lin
Holger Caesar
22
4
0
12 Oct 2023
Beyond Labeling Oracles: What does it mean to steal ML models?
Beyond Labeling Oracles: What does it mean to steal ML models?
Avital Shafran
Ilia Shumailov
Murat A. Erdogdu
Nicolas Papernot
AAML
29
4
0
03 Oct 2023
Towards Free Data Selection with General-Purpose Models
Towards Free Data Selection with General-Purpose Models
Alessandro Mutti
Mingyu Ding
Patrizia Semeraro
Wei Zhan
37
9
0
29 Sep 2023
Two-Step Active Learning for Instance Segmentation with Uncertainty and
  Diversity Sampling
Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling
Ke Yu
Yuanmin Tang
Giulia DeSalvo
Suraj Kothawade
Abdullah Rashwan
S. Tavakkol
Kayhan Batmanghelich
Xiaoqi Yin
ISeg
21
0
0
28 Sep 2023
Frugal Satellite Image Change Detection with Deep-Net Inversion
Frugal Satellite Image Change Detection with Deep-Net Inversion
H. Sahbi
Sebastien Deschamps
29
0
0
26 Sep 2023
Active Learning for Fine-Grained Sketch-Based Image Retrieval
Active Learning for Fine-Grained Sketch-Based Image Retrieval
Himanshu Thakur
Soumitri Chattopadhyay
40
2
0
15 Sep 2023
ALWOD: Active Learning for Weakly-Supervised Object Detection
ALWOD: Active Learning for Weakly-Supervised Object Detection
Yuting Wang
Velibor Ilic
Jiatong Li
B. Kisačanin
Vladimir Pavlovic
28
8
0
14 Sep 2023
Stream-based Active Learning by Exploiting Temporal Properties in
  Perception with Temporal Predicted Loss
Stream-based Active Learning by Exploiting Temporal Properties in Perception with Temporal Predicted Loss
Sebastian Schmidt
Stephan Günnemann
17
7
0
11 Sep 2023
Learning Objective-Specific Active Learning Strategies with Attentive
  Neural Processes
Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes
Tim Bakker
H. V. Hoof
Max Welling
37
2
0
11 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
27
4
0
05 Sep 2023
On the Query Strategies for Efficient Online Active Distillation
On the Query Strategies for Efficient Online Active Distillation
Michele Boldo
Enrico Martini
Mirco De Marchi
Stefano Aldegheri
Nicola Bombieri
32
1
0
04 Sep 2023
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