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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
Maturity-Aware Active Learning for Semantic Segmentation with
  Hierarchically-Adaptive Sample Assessment
Maturity-Aware Active Learning for Semantic Segmentation with Hierarchically-Adaptive Sample Assessment
Amirsaeed Yazdani
Xuelu Li
V. Monga
EDL
41
0
0
28 Aug 2023
Overcoming Overconfidence for Active Learning
Overcoming Overconfidence for Active Learning
Yujin Hwang
Won Jo
Juyoung Hong
Yukyung Choi
14
1
0
21 Aug 2023
GPFL: Simultaneously Learning Global and Personalized Feature
  Information for Personalized Federated Learning
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Jianyin Cao
Haibing Guan
39
23
0
20 Aug 2023
Classification Committee for Active Deep Object Detection
Classification Committee for Active Deep Object Detection
Lei Zhao
Bo-wen Li
Xingxing Wei
31
0
0
16 Aug 2023
Divide and Adapt: Active Domain Adaptation via Customized Learning
Divide and Adapt: Active Domain Adaptation via Customized Learning
Duojun Huang
Jichang Li
Weikai Chen
Jun Steed Huang
Z. Chai
Guanbin Li
42
25
0
21 Jul 2023
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with
  Vision-Language Models
UP-DP: Unsupervised Prompt Learning for Data Pre-Selection with Vision-Language Models
Xin Li
Sima Behpour
T. Doan
Wenbin He
Liangke Gou
Liu Ren
VLM
50
3
0
20 Jul 2023
Confidence Estimation Using Unlabeled Data
Confidence Estimation Using Unlabeled Data
Chen Li
Xiaoling Hu
Chao Chen
UQCV
23
9
0
19 Jul 2023
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active
  Learning
Monocular 3D Object Detection with LiDAR Guided Semi Supervised Active Learning
A. Hekimoglu
Michael Schmidt
Alvaro Marcos-Ramiro
3DPC
33
10
0
17 Jul 2023
Active Learning for Object Detection with Non-Redundant Informative
  Sampling
Active Learning for Object Detection with Non-Redundant Informative Sampling
A. Hekimoglu
A. Brucker
A. Kayalı
Michael Schmidt
Alvaro Marcos-Ramiro
24
1
0
17 Jul 2023
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection
Yadan Luo
Zhuoxiao Chen
Zhenying Fang
Zheng-Wei Zhang
Zi Huang
Mahsa Baktashmotlagh
3DPC
20
13
0
16 Jul 2023
Exploiting Counter-Examples for Active Learning with Partial labels
Exploiting Counter-Examples for Active Learning with Partial labels
Fei Zhang
Yunjie Ye
Lei Feng
Zhongwen Rao
Jieming Zhu
Marcus Kalander
Chen Gong
Jianye Hao
Bo Han
33
0
0
14 Jul 2023
Active Learning for Video Classification with Frame Level Queries
Active Learning for Video Classification with Frame Level Queries
D. Goswami
Shayok Chakraborty
VLM
11
2
0
10 Jul 2023
URL: A Representation Learning Benchmark for Transferable Uncertainty
  Estimates
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates
Michael Kirchhof
Bálint Mucsányi
Seong Joon Oh
Enkelejda Kasneci
UQCV
374
13
0
07 Jul 2023
Active Class Selection for Few-Shot Class-Incremental Learning
Active Class Selection for Few-Shot Class-Incremental Learning
Christopher McClurg
Ali Ayub
Harsh Tyagi
Sarah M. Rajtmajer
Alan R. Wagner
CLL
27
1
0
05 Jul 2023
REAL: A Representative Error-Driven Approach for Active Learning
REAL: A Representative Error-Driven Approach for Active Learning
Cheng Chen
Yong Wang
Lizi Liao
Yueguo Chen
Xiaoyong Du
85
2
0
03 Jul 2023
Multi-Task Consistency for Active Learning
Multi-Task Consistency for Active Learning
A. Hekimoglu
Philipp Friedrich
Walter Zimmer
Michael Schmidt
Alvaro Marcos-Ramiro
Alois C. Knoll
VLM
10
10
0
21 Jun 2023
Re-Benchmarking Pool-Based Active Learning for Binary Classification
Re-Benchmarking Pool-Based Active Learning for Binary Classification
Po-Yi Lu
Chun-Liang Li
Hsuan-Tien Lin
15
7
0
15 Jun 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
Accelerating Batch Active Learning Using Continual Learning Techniques
Accelerating Batch Active Learning Using Continual Learning Techniques
Arnav M. Das
Gantavya Bhatt
M. Bhalerao
Vianne R. Gao
Rui Yang
J. Bilmes
VLM
CLL
35
10
0
10 May 2023
Spectral Transfer Guided Active Domain Adaptation For Thermal Imagery
Spectral Transfer Guided Active Domain Adaptation For Thermal Imagery
Berkcan Ustun
Ahmet Kağan Kaya
Ezgi Cakir Ayerden
Fazil Altinel
26
3
0
14 Apr 2023
Towards Active Learning for Action Spotting in Association Football
  Videos
Towards Active Learning for Action Spotting in Association Football Videos
Silvio Giancola
A. Cioppa
Julia Georgieva
Johsan Billingham
A. Serner
Kerry Peek
Guohao Li
Marc Van Droogenbroeck
16
12
0
09 Apr 2023
MuRAL: Multi-Scale Region-based Active Learning for Object Detection
MuRAL: Multi-Scale Region-based Active Learning for Object Detection
Yi-Syuan Liou
Tsung-Han Wu
Jia-Fong Yeh
Wen-Chin Chen
Winston H. Hsu
ObjD
19
0
0
29 Mar 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
Masayoshi Tomizuka
Wei Zhan
43
30
0
25 Mar 2023
Box-Level Active Detection
Box-Level Active Detection
Mengyao Lyu
Jundong Zhou
Hui Chen
Yijie Huang
Dongdong Yu
Yaqian Li
Yandong Guo
Yuchen Guo
Liuyu Xiang
Guiguang Ding
VLM
ObjD
34
15
0
23 Mar 2023
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and
  Consistency
Active Semi-Supervised Learning by Exploring Per-Sample Uncertainty and Consistency
Jae-Kwang Lim
Jongkeun Na
Nojun Kwak
40
1
0
15 Mar 2023
Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition
Acquisition Conditioned Oracle for Nongreedy Active Feature Acquisition
M. Valancius
M. Lennon
Junier Oliva
26
0
0
27 Feb 2023
Continuous Learning for Android Malware Detection
Continuous Learning for Android Malware Detection
Yizheng Chen
Zhoujie Ding
David Wagner
39
32
0
08 Feb 2023
Leveraging Importance Weights in Subset Selection
Leveraging Importance Weights in Subset Selection
Gui Citovsky
Giulia DeSalvo
Sanjiv Kumar
Srikumar Ramalingam
Afshin Rostamizadeh
Yunjuan Wang
40
3
0
28 Jan 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
Exploring Active 3D Object Detection from a Generalization Perspective
Exploring Active 3D Object Detection from a Generalization Perspective
Yadan Luo
Zhuoxiao Chen
Zijian Wang
Xin Yu
Zi Huang
Mahsa Baktash
3DPC
37
27
0
23 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
33
20
0
18 Jan 2023
TAAL: Test-time Augmentation for Active Learning in Medical Image
  Segmentation
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation
Mélanie Gaillochet
Christian Desrosiers
H. Lombaert
19
11
0
16 Jan 2023
Active Learning Guided by Efficient Surrogate Learners
Active Learning Guided by Efficient Surrogate Learners
Yunpyo An
Suyeong Park
K. Kim
19
1
0
07 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
29
7
0
04 Jan 2023
Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image
  Change Detection
Adversarial Virtual Exemplar Learning for Label-Frugal Satellite Image Change Detection
H. Sahbi
Sebastien Deschamps
23
0
0
28 Dec 2022
Towards Rapid Prototyping and Comparability in Active Learning for Deep
  Object Detection
Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection
Tobias Riedlinger
Marius Schubert
Karsten Kahl
Hanno Gottschalk
Matthias Rottmann
VLM
ObjD
22
2
0
21 Dec 2022
Temporal Output Discrepancy for Loss Estimation-based Active Learning
Temporal Output Discrepancy for Loss Estimation-based Active Learning
Siyu Huang
Tianyang Wang
Haoyi Xiong
B. Wen
Jun Huan
Dejing Dou
UQCV
14
6
0
20 Dec 2022
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning
  for Salient Object Detection
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection
Zhenyu Wu
Lin Wang
Wen Wang
Qing Xia
Chenglizhao Chen
Aimin Hao
Shuo Li
AAML
41
5
0
13 Dec 2022
Frugal Reinforcement-based Active Learning
Frugal Reinforcement-based Active Learning
Sebastien Deschamps
H. Sahbi
16
0
0
09 Dec 2022
MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing
  for Active Annotation in Aerial Object Detection
MUS-CDB: Mixed Uncertainty Sampling with Class Distribution Balancing for Active Annotation in Aerial Object Detection
Dong Liang
Jingwei Zhang
Ying-Peng Tang
Sheng-Jun Huang
24
17
0
06 Dec 2022
Deep Active Learning for Multi-Label Classification of Remote Sensing
  Images
Deep Active Learning for Multi-Label Classification of Remote Sensing Images
Lars Möllenbrok
Gencer Sumbul
Begüm Demir
13
8
0
02 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
A Visual Active Search Framework for Geospatial Exploration
A Visual Active Search Framework for Geospatial Exploration
Anindya Sarkar
Michael Lanier
Scott Alfeld
Jiarui Feng
Roman Garnett
Nathan Jacobs
Yevgeniy Vorobeychik
42
7
0
28 Nov 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
41
19
0
27 Nov 2022
Responsible Active Learning via Human-in-the-loop Peer Study
Responsible Active Learning via Human-in-the-loop Peer Study
Yu Cao
Jingya Wang
Baosheng Yu
Dacheng Tao
25
0
0
24 Nov 2022
Knowledge-Aware Federated Active Learning with Non-IID Data
Knowledge-Aware Federated Active Learning with Non-IID Data
Yu Cao
Ye-ling Shi
Baosheng Yu
Jingya Wang
Dacheng Tao
FedML
21
17
0
24 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
Plug and Play Active Learning for Object Detection
Plug and Play Active Learning for Object Detection
Chenhongyi Yang
Lichao Huang
Elliot J. Crowley
ObjD
25
16
0
21 Nov 2022
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings
N. Durasov
Nik Dorndorf
Pascal Fua
VLM
21
5
0
21 Nov 2022
Improved Adaptive Algorithm for Scalable Active Learning with Weak
  Labeler
Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler
Yifang Chen
Karthik Sankararaman
A. Lazaric
Matteo Pirotta
Dmytro Karamshuk
Qifan Wang
Karishma Mandyam
Sinong Wang
Han Fang
15
2
0
04 Nov 2022
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