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S$^3$VAADA: Submodular Subset Selection for Virtual Adversarial Active
  Domain Adaptation

S3^33VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation

18 September 2021
Harsh Rangwani
Arihant Jain
Sumukh K Aithal
R. Venkatesh Babu
    TTA
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Papers citing "S$^3$VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation"

18 / 18 papers shown
Title
Learning from Limited and Imperfect Data
Learning from Limited and Imperfect Data
Harsh Rangwani
30
0
0
11 Nov 2024
A3: Active Adversarial Alignment for Source-Free Domain Adaptation
A3: Active Adversarial Alignment for Source-Free Domain Adaptation
Chrisantus Eze
Christopher Crick
20
0
0
27 Sep 2024
Domain Adversarial Active Learning for Domain Generalization
  Classification
Domain Adversarial Active Learning for Domain Generalization Classification
Jianting Chen
Ling Ding
Yunxiao Yang
Zaiyuan Di
Yang Xiang
OOD
37
0
0
10 Mar 2024
Contributing Dimension Structure of Deep Feature for Coreset Selection
Contributing Dimension Structure of Deep Feature for Coreset Selection
Zhijing Wan
Zhixiang Wang
Yuran Wang
Zheng Wang
Hongyuan Zhu
Shiníchi Satoh
28
6
0
29 Jan 2024
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain
  Alignment
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment
Lin Zhang
Linghan Xu
Saman Motamed
Shayok Chakraborty
Fernando de la Torre
34
4
0
10 Jan 2024
A comprehensive survey on deep active learning in medical image analysis
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
46
22
0
22 Oct 2023
Score-Based Methods for Discrete Optimization in Deep Learning
Score-Based Methods for Discrete Optimization in Deep Learning
E. Lei
Arman Adibi
Hamed Hassani
21
1
0
15 Oct 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
Reducing Annotation Effort by Identifying and Labeling Contextually
  Diverse Classes for Semantic Segmentation Under Domain Shift
Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift
Sharat Agarwal
Saket Anand
Chetan Arora
19
1
0
13 Oct 2022
Local Context-Aware Active Domain Adaptation
Local Context-Aware Active Domain Adaptation
Tao Sun
Cheng Lu
Haibin Ling
33
8
0
26 Aug 2022
Combating Label Distribution Shift for Active Domain Adaptation
Combating Label Distribution Shift for Active Domain Adaptation
S. Hwang
Sohyun Lee
Sungyeon Kim
Jungseul Ok
Suha Kwak
27
18
0
13 Aug 2022
Scalable Distributed Algorithms for Size-Constrained Submodular
  Maximization in the MapReduce and Adaptive Complexity Models
Scalable Distributed Algorithms for Size-Constrained Submodular Maximization in the MapReduce and Adaptive Complexity Models
Tonmoy Dey
Yixing Chen
Alan Kuhnle
16
0
0
20 Jun 2022
A Closer Look at Smoothness in Domain Adversarial Training
A Closer Look at Smoothness in Domain Adversarial Training
Harsh Rangwani
Sumukh K Aithal
Mayank Mishra
Arihant Jain
R. Venkatesh Babu
27
119
0
16 Jun 2022
Balancing Discriminability and Transferability for Source-Free Domain
  Adaptation
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
Jogendra Nath Kundu
Akshay Ravindra Kulkarni
Suvaansh Bhambri
Deepesh Mehta
Shreyas Kulkarni
Varun Jampani
R. Venkatesh Babu
TTA
19
89
0
16 Jun 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
19
0
0
25 Apr 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
Towards Fewer Annotations: Active Learning via Region Impurity and
  Prediction Uncertainty for Domain Adaptive Semantic Segmentation
Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation
Binhui Xie
Longhui Yuan
Shuang Li
Chi Harold Liu
Xinjing Cheng
UQCV
28
89
0
25 Nov 2021
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings
Viraj Prabhu
Arjun Chandrasekaran
Kate Saenko
Judy Hoffman
OOD
100
124
0
16 Oct 2020
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