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Variational Adversarial Active Learning

Variational Adversarial Active Learning

31 March 2019
Samarth Sinha
Sayna Ebrahimi
Trevor Darrell
    GAN
    DRL
    VLM
    SSL
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Papers citing "Variational Adversarial Active Learning"

50 / 85 papers shown
Title
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation
Dirichlet-Based Coarse-to-Fine Example Selection For Open-Set Annotation
Ye-Wen Wang
Chen-Chen Zong
Ming-Kun Xie
Sheng-Jun Huang
23
0
0
26 Sep 2024
VLMine: Long-Tail Data Mining with Vision Language Models
VLMine: Long-Tail Data Mining with Vision Language Models
Mao Ye
Gregory P. Meyer
Zaiwei Zhang
Dennis Park
Siva Karthik Mustikovela
Yuning Chai
Eric M. Wolff
VLM
31
1
0
23 Sep 2024
MILAN: Milli-Annotations for Lidar Semantic Segmentation
MILAN: Milli-Annotations for Lidar Semantic Segmentation
Nermin Samet
Gilles Puy
Oriane Siméoni
Renaud Marlet
3DPC
32
0
0
22 Jul 2024
Edge-guided and Class-balanced Active Learning for Semantic Segmentation
  of Aerial Images
Edge-guided and Class-balanced Active Learning for Semantic Segmentation of Aerial Images
Lianlei Shan
Weiqiang Wang
Ke Lv
Bin Luo
VLM
25
0
0
28 May 2024
Uncertainty for Active Learning on Graphs
Uncertainty for Active Learning on Graphs
Dominik Fuchsgruber
Tom Wollschlager
Bertrand Charpentier
Antonio Oroz
Stephan Günnemann
41
10
0
02 May 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
Direct Acquisition Optimization for Low-Budget Active Learning
Direct Acquisition Optimization for Low-Budget Active Learning
Zhuokai Zhao
Yibo Jiang
Yuxin Chen
31
1
0
08 Feb 2024
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
27
11
0
26 Dec 2023
I-CEE: Tailoring Explanations of Image Classification Models to User
  Expertise
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise
Yao Rong
Peizhu Qian
Vaibhav Unhelkar
Enkelejda Kasneci
34
0
0
19 Dec 2023
More Samples or More Prompts? Exploring Effective In-Context Sampling
  for LLM Few-Shot Prompt Engineering
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering
Bingsheng Yao
Guiming Hardy Chen
Ruishi Zou
Yuxuan Lu
Jiachen Li
Shao Zhang
Yisi Sang
Sijia Liu
James A. Hendler
Dakuo Wang
35
13
0
16 Nov 2023
Correlation-aware active learning for surgery video segmentation
Correlation-aware active learning for surgery video segmentation
Fei Wu
Pablo Márquez-Neila
Mingyi Zheng
Hedyeh Rafii-Tari
Raphael Sznitman
29
3
0
15 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
43
5
0
01 Nov 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
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
19
0
0
28 Sep 2023
Active Learning for Semantic Segmentation with Multi-class Label Query
Active Learning for Semantic Segmentation with Multi-class Label Query
S. Hwang
Sohyun Lee
Hoyoung Kim
Minhyeon Oh
Jungseul Ok
Suha Kwak
VLM
30
7
0
17 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
24
3
0
05 Sep 2023
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel
Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel
M. Khamlich
F. Pichi
G. Rozza
21
4
0
26 Aug 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
21
10
0
17 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
27
0
0
14 Jul 2023
Training Ensembles with Inliers and Outliers for Semi-supervised Active
  Learning
Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning
Vladan Stojnić
Zakaria Laskar
Giorgos Tolias
29
0
0
07 Jul 2023
Taming Small-sample Bias in Low-budget Active Learning
Taming Small-sample Bias in Low-budget Active Learning
Linxin Song
Jieyu Zhang
Xiaotian Lu
Tianyi Zhou
AI4CE
20
0
0
19 Jun 2023
Training-Free Neural Active Learning with Initialization-Robustness
  Guarantees
Training-Free Neural Active Learning with Initialization-Robustness Guarantees
Apivich Hemachandra
Zhongxiang Dai
Jasraj Singh
See-Kiong Ng
K. H. Low
AAML
30
6
0
07 Jun 2023
CQural: A Novel CNN based Hybrid Architecture for Quantum Continual
  Machine Learning
CQural: A Novel CNN based Hybrid Architecture for Quantum Continual Machine Learning
Sanyam Jain
CLL
19
1
0
16 May 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
11
0
0
29 Mar 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
29
3
0
28 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
29
26
0
23 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
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
16
0
0
30 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
Begum 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
26
9
0
30 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
15
0
0
24 Nov 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
25
65
0
18 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
26
13
0
13 Oct 2022
Open Long-Tailed Recognition in a Dynamic World
Open Long-Tailed Recognition in a Dynamic World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
VLM
31
18
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
17
5
0
01 Aug 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
22
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
27
19
0
25 Jul 2022
Active Pointly-Supervised Instance Segmentation
Active Pointly-Supervised Instance Segmentation
Chufeng Tang
Lingxi Xie
Gang Zhang
Xiaopeng Zhang
Qi Tian
Xiaolin Hu
ISeg
32
15
0
23 Jul 2022
Data-Efficient Learning via Minimizing Hyperspherical Energy
Data-Efficient Learning via Minimizing Hyperspherical Energy
Xiaofeng Cao
Weiyang Liu
Ivor W. Tsang
14
8
0
30 Jun 2022
Tyger: Task-Type-Generic Active Learning for Molecular Property
  Prediction
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction
Kuangqi Zhou
Kaixin Wang
Jiashi Feng
Jian Tang
Tingyang Xu
Xinchao Wang
21
1
0
23 May 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
22
105
0
25 Mar 2022
Human-Centric Artificial Intelligence Architecture for Industry 5.0
  Applications
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications
Jovze M. Rovzanec
I. Novalija
Patrik Zajec
K. Kenda
Hooman Tavakoli
...
G. Sofianidis
Spyros Theodoropoulos
Blavz Fortuna
Dunja Mladenić
John Soldatos
3DV
AI4CE
30
119
0
21 Mar 2022
Active Learning by Feature Mixing
Active Learning by Feature Mixing
Amin Parvaneh
Ehsan Abbasnejad
Damien Teney
Reza Haffari
A. Hengel
Javen Qinfeng Shi
27
89
0
14 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
23
31
0
11 Mar 2022
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive
  Pseudo Labeling and Informative Active Annotation
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation
Wenqiao Zhang
Lei Zhu
James Hallinan
A. Makmur
Shengyu Zhang
Qingpeng Cai
Beng Chin Ooi
30
79
0
04 Mar 2022
GroupViT: Semantic Segmentation Emerges from Text Supervision
GroupViT: Semantic Segmentation Emerges from Text Supervision
Jiarui Xu
Shalini De Mello
Sifei Liu
Wonmin Byeon
Thomas Breuel
Jan Kautz
X. Wang
ViT
VLM
189
499
0
22 Feb 2022
An Active and Contrastive Learning Framework for Fine-Grained Off-Road
  Semantic Segmentation
An Active and Contrastive Learning Framework for Fine-Grained Off-Road Semantic Segmentation
Biao Gao
Xijun Zhao
Huijing Zhao
36
12
0
18 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
37
22
0
01 Feb 2022
Towards General and Efficient Active Learning
Towards General and Efficient Active Learning
Yichen Xie
M. Tomizuka
Wei Zhan
VLM
32
10
0
15 Dec 2021
12
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