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VAADA: 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
Harsh Rangwani
30
0
0
11 Nov 2024
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
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
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
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
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
E. Lei
Arman Adibi
Hamed Hassani
21
1
0
15 Oct 2023
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
Sharat Agarwal
Saket Anand
Chetan Arora
19
1
0
13 Oct 2022
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
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
Tonmoy Dey
Yixing Chen
Alan Kuhnle
16
0
0
20 Jun 2022
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
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
Kyeongtak Han
Youngeun Kim
Dongyoon Han
Sungeun Hong
19
0
0
25 Apr 2022
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
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
Viraj Prabhu
Arjun Chandrasekaran
Kate Saenko
Judy Hoffman
OOD
100
124
0
16 Oct 2020
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