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MCDAL: Maximum Classifier Discrepancy for Active Learning

MCDAL: Maximum Classifier Discrepancy for Active Learning

23 July 2021
Jae-Won Cho
Dong-Jin Kim
Yunjae Jung
In So Kweon
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Papers citing "MCDAL: Maximum Classifier Discrepancy for Active Learning"

20 / 20 papers shown
Title
Decision Boundary Optimization-Informed Domain Adaptation
Lingkun Luo
Shiqiang Hu
Jie Yang
Liming Chen
AI4CE
71
0
0
10 Feb 2025
Take Your Steps: Hierarchically Efficient Pulmonary Disease Screening
  via CT Volume Compression
Take Your Steps: Hierarchically Efficient Pulmonary Disease Screening via CT Volume Compression
Qian Shao
Kai Zhang
Bang Du
Zehan Li
YiXuan Wu
Qiyuan Chen
Jian Wu
Jintai Chen
Honghao Gao
Hongxia Xu
87
0
0
02 Dec 2024
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving
  Vision-Linguistic Compositionality
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
Youngtaek Oh
Jae-Won Cho
Dong-Jin Kim
In So Kweon
Junmo Kim
VLM
CoGe
CLIP
63
4
0
07 Oct 2024
Enhancing Semi-Supervised Learning via Representative and Diverse Sample
  Selection
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
Qian Shao
Jiangrui Kang
Qiyuan Chen
Zepeng Li
Hongxia Xu
Yiwen Cao
Jiajuan Liang
Jian Wu
33
0
0
18 Sep 2024
Distribution Discrepancy and Feature Heterogeneity for Active 3D Object
  Detection
Distribution Discrepancy and Feature Heterogeneity for Active 3D Object Detection
Huang-Yu Chen
Jia-Fong Yeh
Jia-Wei Liao
Pin-Hsuan Peng
Winston H. Hsu
72
0
0
09 Sep 2024
Federated Active Learning Framework for Efficient Annotation Strategy in
  Skin-lesion Classification
Federated Active Learning Framework for Efficient Annotation Strategy in Skin-lesion Classification
Zhipeng Deng
Yuqiao Yang
Kenji Suzuki
MedIm
FedML
64
1
0
17 Jun 2024
Feedback-guided Data Synthesis for Imbalanced Classification
Feedback-guided Data Synthesis for Imbalanced Classification
Reyhane Askari Hemmat
Mohammad Pezeshki
Florian Bordes
M. Drozdzal
Adriana Romero Soriano
SyDa
42
20
0
29 Sep 2023
Overcoming Overconfidence for Active Learning
Overcoming Overconfidence for Active Learning
Yujin Hwang
Won Jo
Juyoung Hong
Yukyung Choi
19
1
0
21 Aug 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
40
3
0
14 Apr 2023
Active Teacher for Semi-Supervised Object Detection
Active Teacher for Semi-Supervised Object Detection
Peng Mi
Jianghang Lin
Yiyi Zhou
Yunhang Shen
Gen Luo
Xiaoshuai Sun
Liujuan Cao
Rongrong Fu
Qiang Xu
Rongrong Ji
69
61
0
15 Mar 2023
Towards Inference Efficient Deep Ensemble Learning
Towards Inference Efficient Deep Ensemble Learning
Ziyue Li
Kan Ren
Yifan Yang
Xinyang Jiang
Yuqing Yang
Dongsheng Li
BDL
34
12
0
29 Jan 2023
Semi-Supervised Image Captioning by Adversarially Propagating Labeled
  Data
Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data
Dong-Jin Kim
Tae-Hyun Oh
Jinsoo Choi
In So Kweon
SSL
VLM
31
4
0
26 Jan 2023
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
70
22
0
01 Feb 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
37
41
0
19 Jan 2022
Single-Modal Entropy based Active Learning for Visual Question Answering
Single-Modal Entropy based Active Learning for Visual Question Answering
Dong-Jin Kim
Jae-Won Cho
Jinsoo Choi
Yunjae Jung
In So Kweon
30
12
0
21 Oct 2021
Unsupervised Selective Labeling for More Effective Semi-Supervised
  Learning
Unsupervised Selective Labeling for More Effective Semi-Supervised Learning
Xudong Wang
Long Lian
Stella X. Yu
194
33
0
06 Oct 2021
LabOR: Labeling Only if Required for Domain Adaptive Semantic
  Segmentation
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation
Inkyu Shin
Dong-Jin Kim
Jae-Won Cho
Sanghyun Woo
Kwanyong Park
In So Kweon
37
55
0
12 Aug 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced
  Semi-Supervised Learning
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning
Youngtaek Oh
Dong-Jin Kim
In So Kweon
54
64
0
10 Jun 2021
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
273
1,275
0
06 Mar 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
299
9,202
0
06 Jun 2015
1