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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
Replay in Deep Learning: Current Approaches and Missing Biological
  Elements
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Tyler L. Hayes
G. Krishnan
M. Bazhenov
H. Siegelmann
T. Sejnowski
Christopher Kanan
CLL
38
130
0
01 Apr 2021
Active Learning for Deep Object Detection via Probabilistic Modeling
Active Learning for Deep Object Detection via Probabilistic Modeling
Jiwoong Choi
Ismail Elezi
Hyuk-Jae Lee
C. Farabet
J. Álvarez
30
121
0
30 Mar 2021
Consistency-based Active Learning for Object Detection
Consistency-based Active Learning for Object Detection
Weiping Yu
Sijie Zhu
Taojiannan Yang
Chong Chen
ObjD
22
50
0
18 Mar 2021
Learning Novel Objects Continually Through Curiosity
Learning Novel Objects Continually Through Curiosity
Ali Ayub
Alan R. Wagner
CLL
40
4
0
13 Mar 2021
DEUP: Direct Epistemic Uncertainty Prediction
DEUP: Direct Epistemic Uncertainty Prediction
Salem Lahlou
Moksh Jain
Hadi Nekoei
V. Butoi
Paul Bertin
Jarrid Rector-Brooks
Maksym Korablyov
Yoshua Bengio
PER
UQLM
UQCV
UD
204
81
0
16 Feb 2021
A Simple yet Brisk and Efficient Active Learning Platform for Text
  Classification
A Simple yet Brisk and Efficient Active Learning Platform for Text Classification
Teja Kanchinadam
Qian You
Keith Westpfahl
James Kim
S. Gunda
Sebastian Seith
G. Fung
VLM
16
1
0
31 Jan 2021
On Statistical Bias In Active Learning: How and When To Fix It
On Statistical Bias In Active Learning: How and When To Fix It
Sebastian Farquhar
Y. Gal
Tom Rainforth
TDI
HAI
12
83
0
27 Jan 2021
Continual Learning of Visual Concepts for Robots through Limited
  Supervision
Continual Learning of Visual Concepts for Robots through Limited Supervision
Ali Ayub
Alan R. Wagner
CLL
8
2
0
26 Jan 2021
A Survey on Active Deep Learning: From Model-driven to Data-driven
Peng Liu
Lizhe Wang
Guojin He
Lei Zhao
27
13
0
25 Jan 2021
Diverse Complexity Measures for Dataset Curation in Self-driving
Diverse Complexity Measures for Dataset Curation in Self-driving
Abbas Sadat
Sean Segal
Sergio Casas
James Tu
Binh Yang
R. Urtasun
Ersin Yumer
50
13
0
16 Jan 2021
Active learning for object detection in high-resolution satellite images
Active learning for object detection in high-resolution satellite images
Alex Goupilleau
Tugdual Ceillier
M. Corbineau
ObjD
17
8
0
07 Jan 2021
Semi-supervised Active Learning for Instance Segmentation via Scoring
  Predictions
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions
Jun Wang
Shaoguo Wen
Kaixing Chen
Jianghua Yu
Xiaoxia Zhou
Peng Gao
Changsheng Li
Guotong Xie
ISeg
22
18
0
09 Dec 2020
On Initial Pools for Deep Active Learning
On Initial Pools for Deep Active Learning
Akshay L Chandra
Sai Vikas Desai
Chaitanya Devaguptapu
V. Balasubramanian
24
19
0
30 Nov 2020
Deep Active Learning with Augmentation-based Consistency Estimation
Deep Active Learning with Augmentation-based Consistency Estimation
SeulGi Hong
Heonjin Ha
Junmo Kim
Min-Kook Choi
24
10
0
05 Nov 2020
PAL : Pretext-based Active Learning
PAL : Pretext-based Active Learning
Shubhang Bhatnagar
Sachin Goyal
Darshan Tank
A. Sethi
16
9
0
29 Oct 2020
Active Learning for Human-in-the-Loop Customs Inspection
Active Learning for Human-in-the-Loop Customs Inspection
Sundong Kim
Tung Mai
Sungwon Han
Sungwon Park
Thien Khanh
Jaechan So
Karandeep Singh
M. Cha
13
8
0
27 Oct 2020
Using Deep Image Priors to Generate Counterfactual Explanations
Using Deep Image Priors to Generate Counterfactual Explanations
V. Narayanaswamy
Jayaraman J. Thiagarajan
A. Spanias
18
4
0
22 Oct 2020
Learning Loss for Test-Time Augmentation
Learning Loss for Test-Time Augmentation
Ildoo Kim
Younghoon Kim
Sungwoong Kim
OOD
23
90
0
22 Oct 2020
Exploiting Context for Robustness to Label Noise in Active Learning
Exploiting Context for Robustness to Label Noise in Active Learning
Sudipta Paul
S. Chandrasekaran
B. S. Manjunath
A. Roy-Chowdhury
NoLa
14
5
0
18 Oct 2020
DEAL: Difficulty-aware Active Learning for Semantic Segmentation
DEAL: Difficulty-aware Active Learning for Semantic Segmentation
Shuai Xie
Zunlei Feng
Ying Chen
Songtao Sun
Chao Ma
Xiuming Zhang
VLM
125
50
0
17 Oct 2020
Deep Active Learning for Joint Classification & Segmentation with Weak
  Annotator
Deep Active Learning for Joint Classification & Segmentation with Weak Annotator
Soufiane Belharbi
Ismail Ben Ayed
Luke McCaffrey
Eric Granger
VLM
10
30
0
10 Oct 2020
Active Feature Acquisition with Generative Surrogate Models
Active Feature Acquisition with Generative Surrogate Models
Yang Li
Junier B. Oliva
RALM
TPM
30
37
0
06 Oct 2020
Accurate and Robust Feature Importance Estimation under Distribution
  Shifts
Accurate and Robust Feature Importance Estimation under Distribution Shifts
Jayaraman J. Thiagarajan
V. Narayanaswamy
Rushil Anirudh
P. Bremer
A. Spanias
OOD
11
9
0
30 Sep 2020
Ask-n-Learn: Active Learning via Reliable Gradient Representations for
  Image Classification
Ask-n-Learn: Active Learning via Reliable Gradient Representations for Image Classification
Bindya Venkatesh
Jayaraman J. Thiagarajan
6
4
0
30 Sep 2020
Ground-truth or DAER: Selective Re-query of Secondary Information
Ground-truth or DAER: Selective Re-query of Secondary Information
Stephan J. Lemmer
Jason J. Corso
14
4
0
16 Sep 2020
One-bit Supervision for Image Classification
One-bit Supervision for Image Classification
Hengtong Hu
Lingxi Xie
Zewei Du
Richang Hong
Qi Tian
SSL
VLM
6
16
0
14 Sep 2020
Active Deep Densely Connected Convolutional Network for Hyperspectral
  Image Classification
Active Deep Densely Connected Convolutional Network for Hyperspectral Image Classification
Bing Liu
Anzhu Yu
Pengqiang Zhang
L. Ding
Wenyue Guo
Kuiliang Gao
Xibing Zuo
16
19
0
01 Sep 2020
A Survey of Deep Active Learning
A Survey of Deep Active Learning
Pengzhen Ren
Yun Xiao
Xiaojun Chang
Po-Yao (Bernie) Huang
Zhihui Li
Brij B. Gupta
Xiaojiang Chen
Xin Wang
31
1,123
0
30 Aug 2020
Active Class Incremental Learning for Imbalanced Datasets
Active Class Incremental Learning for Imbalanced Datasets
Eden Belouadah
Adrian Daniel Popescu
Umang Aggarwal
Léo Saci
CLL
13
12
0
25 Aug 2020
Contextual Diversity for Active Learning
Contextual Diversity for Active Learning
Sharat Agarwal
H. Arora
Saket Anand
Chetan Arora
26
161
0
13 Aug 2020
Importance of Self-Consistency in Active Learning for Semantic
  Segmentation
Importance of Self-Consistency in Active Learning for Semantic Segmentation
S. Golestaneh
Kris M. Kitani
SSL
24
36
0
04 Aug 2020
Learning to Rank for Active Learning: A Listwise Approach
Learning to Rank for Active Learning: A Listwise Approach
Minghan Li
Xialei Liu
Joost van de Weijer
Bogdan Raducanu
27
22
0
31 Jul 2020
DEAL: Deep Evidential Active Learning for Image Classification
DEAL: Deep Evidential Active Learning for Image Classification
Patrick Hemmer
Niklas Kühl
Jakob Schöffer
33
37
0
22 Jul 2020
Data-driven geophysics: from dictionary learning to deep learning
Data-driven geophysics: from dictionary learning to deep learning
Siwei Yu
Jianwei Ma
AI4CE
33
8
0
13 Jul 2020
Deep Active Learning via Open Set Recognition
Deep Active Learning via Open Set Recognition
J. Mandivarapu
Blake Camp
Rolando Estrada
BDL
VLM
UQCV
EDL
DRL
26
8
0
04 Jul 2020
Confidence-Aware Learning for Deep Neural Networks
Confidence-Aware Learning for Deep Neural Networks
J. Moon
Jihyo Kim
Younghak Shin
Sangheum Hwang
UQCV
23
143
0
03 Jul 2020
Similarity Search for Efficient Active Learning and Search of Rare
  Concepts
Similarity Search for Efficient Active Learning and Search of Rare Concepts
Cody Coleman
Edward Chou
Julian Katz-Samuels
Sean Culatana
Peter Bailis
Alexander C. Berg
Robert Nowak
Roshan Sumbaly
Matei A. Zaharia
I. Z. Yalniz
49
42
0
30 Jun 2020
Boosting Active Learning for Speech Recognition with Noisy
  Pseudo-labeled Samples
Boosting Active Learning for Speech Recognition with Noisy Pseudo-labeled Samples
Jihwan Bang
Heesu Kim
Y. Yoo
Jung-Woo Ha
9
2
0
19 Jun 2020
Sequential Graph Convolutional Network for Active Learning
Sequential Graph Convolutional Network for Active Learning
Razvan Caramalau
Binod Bhattarai
Tae-Kyun Kim
GNN
27
118
0
18 Jun 2020
Semantic Curiosity for Active Visual Learning
Semantic Curiosity for Active Visual Learning
Devendra Singh Chaplot
Helen Jiang
Saurabh Gupta
Abhinav Gupta
ObjD
16
72
0
16 Jun 2020
High-contrast "gaudy" images improve the training of deep neural network
  models of visual cortex
High-contrast "gaudy" images improve the training of deep neural network models of visual cortex
Benjamin R. Cowley
Jonathan W. Pillow
24
10
0
13 Jun 2020
State-Relabeling Adversarial Active Learning
State-Relabeling Adversarial Active Learning
Beichen Zhang
Liang Li
Shijie Yang
Shuhui Wang
Zhengjun Zha
Qingming Huang
29
126
0
10 Apr 2020
Confident Coreset for Active Learning in Medical Image Analysis
Confident Coreset for Active Learning in Medical Image Analysis
S. T. Kim
Farrukh Mushtaq
Nassir Navab
MedIm
9
5
0
05 Apr 2020
Prediction Confidence from Neighbors
Prediction Confidence from Neighbors
M. P. Philipsen
T. Moeslund
OODD
11
2
0
31 Mar 2020
VaB-AL: Incorporating Class Imbalance and Difficulty with Variational
  Bayes for Active Learning
VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning
Jongwon Choi
K. M. Yi
Jihoon Kim
Jincho Choo
Byoungjip Kim
Jin-Yeop Chang
Youngjune Gwon
H. Chang
DRL
34
42
0
25 Mar 2020
Towards Robust and Reproducible Active Learning Using Neural Networks
Towards Robust and Reproducible Active Learning Using Neural Networks
Prateek Munjal
Nasir Hayat
Munawar Hayat
J. Sourati
Shadab Khan
UQCV
25
67
0
21 Feb 2020
Task-Aware Variational Adversarial Active Learning
Task-Aware Variational Adversarial Active Learning
Kwanyoung Kim
Dongwon Park
K. Kim
S. Chun
VLM
OOD
8
143
0
11 Feb 2020
TRADI: Tracking deep neural network weight distributions for uncertainty
  estimation
TRADI: Tracking deep neural network weight distributions for uncertainty estimation
Gianni Franchi
Andrei Bursuc
Emanuel Aldea
Séverine Dubuisson
Isabelle Bloch
UQCV
26
51
0
24 Dec 2019
Parting with Illusions about Deep Active Learning
Parting with Illusions about Deep Active Learning
Sudhanshu Mittal
Maxim Tatarchenko
Özgün Çiçek
Thomas Brox
VLM
21
59
0
11 Dec 2019
ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation
ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation
Yawar Siddiqui
Julien P. C. Valentin
Matthias Nießner
27
158
0
26 Nov 2019
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