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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
An Adversarial Active Sampling-based Data Augmentation Framework for
  Manufacturable Chip Design
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design
Mingjie Liu
Haoyu Yang
Zong-Yi Li
K. Sastry
S. Mukhopadhyay
Selim Dogru
Anima Anandkumar
David Z. Pan
Brucek Khailany
Haoxing Ren
46
3
0
27 Oct 2022
IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes
IDD-3D: Indian Driving Dataset for 3D Unstructured Road Scenes
Shubham Dokania
A. H. A. Hafez
A. Subramanian
Manmohan Chandraker
C. V. Jawahar
3DPC
21
11
0
23 Oct 2022
A Survey of Active Learning for Natural Language Processing
A Survey of Active Learning for Natural Language Processing
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
LM&MA
33
65
0
18 Oct 2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set
  Active Learning
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
Dongmin Park
Yooju Shin
Jihwan Bang
Youngjune Lee
Hwanjun Song
Jae-Gil Lee
62
24
0
13 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
VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose
  Estimation
VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation
Megh Shukla
Roshan Roy
Pankaj Singh
Shuaib Ahmed
Alexandre Alahi
33
12
0
12 Oct 2022
Deep Active Ensemble Sampling For Image Classification
Deep Active Ensemble Sampling For Image Classification
S. Mohamadi
Gianfranco Doretto
Donald Adjeroh
UQCV
18
9
0
11 Oct 2022
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data
  Regimes
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes
Peter Kocsis
Peter Súkeník
Guillem Brasó
Matthias Nießner
Laura Leal-Taixé
Ismail Elezi
8
7
0
11 Oct 2022
Few-Shot Continual Active Learning by a Robot
Few-Shot Continual Active Learning by a Robot
Ali Ayub
C. Fendley
CLL
40
29
0
09 Oct 2022
Optimizing Data Collection for Machine Learning
Optimizing Data Collection for Machine Learning
Rafid Mahmood
James Lucas
J. Álvarez
Sanja Fidler
M. Law
93
26
0
03 Oct 2022
MLink: Linking Black-Box Models from Multiple Domains for Collaborative
  Inference
MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference
Mu Yuan
Lan Zhang
Zimu Zheng
Yi-Nan Zhang
Xiang-Yang Li
25
2
0
28 Sep 2022
Active Learning with Effective Scoring Functions for Semi-Supervised Temporal Action Localization
Ding Li
Xuebing Yang
Yongqiang Tang
Chenyang Zhang
Wensheng Zhang
31
4
0
31 Aug 2022
Towards an Error-free Deep Occupancy Detector for Smart Camera Parking
  System
Towards an Error-free Deep Occupancy Detector for Smart Camera Parking System
Tung-Lam Duong
Van-Duc Le
Tien-Cuong Bui
H. To
11
3
0
17 Aug 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
Image Quality Assessment: Integrating Model-Centric and Data-Centric
  Approaches
Image Quality Assessment: Integrating Model-Centric and Data-Centric Approaches
Peibei Cao
Dingquan Li
Kede Ma
19
6
0
29 Jul 2022
ALBench: A Framework for Evaluating Active Learning in Object Detection
ALBench: A Framework for Evaluating Active Learning in Object Detection
Zhanpeng Feng
Shiliang Zhang
Rinyoichi Takezoe
Wenze Hu
Manmohan Chandraker
Li-Jia Li
Vijay Narayanan
Xiaoyu Wang
VLM
33
6
0
27 Jul 2022
Exploiting Diversity of Unlabeled Data for Label-Efficient
  Semi-Supervised Active Learning
Exploiting Diversity of Unlabeled Data for Label-Efficient Semi-Supervised Active Learning
F. Buchert
Nassir Navab
Seong Tae Kim
30
6
0
25 Jul 2022
Active Learning Strategies for Weakly-supervised Object Detection
Active Learning Strategies for Weakly-supervised Object Detection
Huy V. Vo
Oriane Siméoni
Spyros Gidaris
Andrei Bursuc
Patrick Pérez
Jean Ponce
41
19
0
25 Jul 2022
Instance-Aware Observer Network for Out-of-Distribution Object
  Segmentation
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
39
1
0
18 Jul 2022
PseudoClick: Interactive Image Segmentation with Click Imitation
PseudoClick: Interactive Image Segmentation with Click Imitation
Qin Liu
Meng Zheng
Benjamin Planche
Srikrishna Karanam
Terrence Chen
Marc Niethammer
Ziyan Wu
VLM
43
57
0
12 Jul 2022
ST-CoNAL: Consistency-Based Acquisition Criterion Using Temporal
  Self-Ensemble for Active Learning
ST-CoNAL: Consistency-Based Acquisition Criterion Using Temporal Self-Ensemble for Active Learning
J. Baik
In Young Yoon
J. Choi
19
0
0
05 Jul 2022
How Much More Data Do I Need? Estimating Requirements for Downstream
  Tasks
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks
Rafid Mahmood
James Lucas
David Acuna
Daiqing Li
Jonah Philion
Jose M. Alvarez
Zhiding Yu
Sanja Fidler
M. Law
19
27
0
04 Jul 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
Training Patch Analysis and Mining Skills for Image Restoration Deep
  Neural Networks
Training Patch Analysis and Mining Skills for Image Restoration Deep Neural Networks
Jae Woong Soh
N. Cho
4
0
0
03 Jul 2022
"Diversity and Uncertainty in Moderation" are the Key to Data Selection
  for Multilingual Few-shot Transfer
"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer
Shanu Kumar
Sandipan Dandapat
Monojit Choudhury
23
6
0
30 Jun 2022
Making Look-Ahead Active Learning Strategies Feasible with Neural
  Tangent Kernels
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels
Mohamad Amin Mohamadi
Wonho Bae
Danica J. Sutherland
30
20
0
25 Jun 2022
Efficient Human-in-the-loop System for Guiding DNNs Attention
Efficient Human-in-the-loop System for Guiding DNNs Attention
Yi He
Xi Yang
Chia-Ming Chang
Haoran Xie
Takeo Igarashi
16
8
0
13 Jun 2022
In Defense of Core-set: A Density-aware Core-set Selection for Active
  Learning
In Defense of Core-set: A Density-aware Core-set Selection for Active Learning
Yeachan Kim
Bonggun Shin
24
25
0
10 Jun 2022
Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of
  Semi-Supervised Learning and Active Learning
Collaborative Intelligence Orchestration: Inconsistency-Based Fusion of Semi-Supervised Learning and Active Learning
Jiannan Guo
Yangyang Kang
Yu Duan
Xiaozhong Liu
Siliang Tang
Wenqiao Zhang
Kun Kuang
Changlong Sun
Fei Wu
35
4
0
07 Jun 2022
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling
Chengliang Dai
Shuo Wang
Yuanhan Mo
Elsa D. Angelini
Yike Guo
Wenjia Bai
DiffM
MedIm
25
10
0
02 Jun 2022
Deep Active Learning with Noise Stability
Deep Active Learning with Noise Stability
Xingjian Li
Pengkun Yang
Mingkun Xu
Xueying Zhan
Tianyang Wang
Dejing Dou
Chengzhong Xu
UQCV
32
12
0
26 May 2022
Active Learning Through a Covering Lens
Active Learning Through a Covering Lens
Ofer Yehuda
Avihu Dekel
Guy Hacohen
D. Weinshall
13
48
0
23 May 2022
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in
  Semantic Segmentation
Source Domain Subset Sampling for Semi-Supervised Domain Adaptation in Semantic Segmentation
Daehan Kim
Min-seok Seo
Jinsun Park
Dong-Geol Choi
TTA
40
3
0
30 Apr 2022
Loss-based Sequential Learning for Active Domain Adaptation
Loss-based Sequential Learning for Active Domain Adaptation
Kyeongtak Han
Youngeun Kim
Dongyoon Han
Sungeun Hong
27
0
0
25 Apr 2022
Entropy-based Active Learning for Object Detection with Progressive
  Diversity Constraint
Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint
Jiaxi Wu
Jiaxin Chen
Di Huang
18
62
0
17 Apr 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
Active Learning by Feature Mixing
Active Learning by Feature Mixing
Amin Parvaneh
Ehsan Abbasnejad
Damien Teney
Reza Haffari
Anton Van Den Hengel
Javen Qinfeng Shi
35
90
0
14 Mar 2022
Can I see an Example? Active Learning the Long Tail of Attributes and
  Relations
Can I see an Example? Active Learning the Long Tail of Attributes and Relations
Tyler L. Hayes
Maximilian Nickel
Christopher Kanan
Ludovic Denoyer
Arthur Szlam
VLM
22
3
0
11 Mar 2022
Learning Distinctive Margin toward Active Domain Adaptation
Learning Distinctive Margin toward Active Domain Adaptation
Ming-Kun Xie
Yuxi Li
Yabiao Wang
Zekun Luo
Zhenye Gan
Zhongyi Sun
M. Chi
Chengjie Wang
Pei Wang
28
31
0
11 Mar 2022
Improving performance of aircraft detection in satellite imagery while
  limiting the labelling effort: Hybrid active learning
Improving performance of aircraft detection in satellite imagery while limiting the labelling effort: Hybrid active learning
Julie Imbert
G. Dashyan
Alex Goupilleau
Tugdual Ceillier
M. Corbineau
19
2
0
10 Feb 2022
A Lagrangian Duality Approach to Active Learning
A Lagrangian Duality Approach to Active Learning
Juan Elenter
Navid Naderializadeh
Alejandro Ribeiro
22
21
0
08 Feb 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
129
116
0
06 Feb 2022
Federated Active Learning (F-AL): an Efficient Annotation Strategy for
  Federated Learning
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning
J. Ahn
Yeeun Ma
Seoyun Park
Cheolwoo You
FedML
45
22
0
01 Feb 2022
Challenges and Opportunities for Machine Learning Classification of
  Behavior and Mental State from Images
Challenges and Opportunities for Machine Learning Classification of Behavior and Mental State from Images
Peter Washington
O. Mutlu
A. Kline
K. Paskov
N. Stockham
B. Chrisman
Nick Deveaux
Mourya Surhabi
Nick Haber
Dennis Paul Wall
18
11
0
26 Jan 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
GradTail: Learning Long-Tailed Data Using Gradient-based Sample
  Weighting
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting
Zhao Chen
Vincent Casser
Henrik Kretzschmar
Dragomir Anguelov
31
5
0
16 Jan 2022
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in
  Remote Sensing
DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing
Gaston Lenczner
Adrien Chan-Hon-Tong
Bertrand Le Saux
Nicola Luminari
G. L. Besnerais
12
35
0
04 Jan 2022
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal
  Causality of Deep Classification Training
DeepVisualInsight: Time-Travelling Visualization for Spatio-Temporal Causality of Deep Classification Training
Xiangli Yang
Yun Lin
Ruofan Liu
Zhenfeng He
Chao Wang
Jinlong Dong
Hong Mei
12
5
0
31 Dec 2021
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
32
8
0
27 Dec 2021
Fair Active Learning: Solving the Labeling Problem in Insurance
Fair Active Learning: Solving the Labeling Problem in Insurance
Romuald Elie
Caroline Hillairet
Franccois Hu
Marc Juillard
FaML
42
0
0
17 Dec 2021
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