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Open Set Domain Adaptation: Theoretical Bound and Algorithm

Open Set Domain Adaptation: Theoretical Bound and Algorithm

19 July 2019
Zhen Fang
Jie Lu
Feng Liu
Junyu Xuan
Guangquan Zhang
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Papers citing "Open Set Domain Adaptation: Theoretical Bound and Algorithm"

20 / 20 papers shown
Title
Generalizable Prompt Learning of CLIP: A Brief Overview
Generalizable Prompt Learning of CLIP: A Brief Overview
Fangming Cui
Yonggang Zhang
Xuan Wang
Xule Wang
Liang Xiao
VPVLM
VLM
263
0
0
03 Mar 2025
A Unified Data Representation Learning for Non-parametric Two-sample Testing
A Unified Data Representation Learning for Non-parametric Two-sample Testing
Xunye Tian
Liuhua Peng
Zhijian Zhou
Mingming Gong
Feng Liu
Feng Liu
89
0
0
30 Nov 2024
Advancing Prompt Learning through an External Layer
Advancing Prompt Learning through an External Layer
Fangming Cui
Xun Yang
Chao Wu
Liang Xiao
Xinmei Tian
VLM
43
1
0
29 Jul 2024
Open Set Dandelion Network for IoT Intrusion Detection
Open Set Dandelion Network for IoT Intrusion Detection
Jiashu Wu
Hao Dai
Kenneth B. Kent
Jerome Yen
Chengzhong Xu
Yang Wang
44
1
0
19 Nov 2023
Crucial Semantic Classifier-based Adversarial Learning for Unsupervised
  Domain Adaptation
Crucial Semantic Classifier-based Adversarial Learning for Unsupervised Domain Adaptation
Yumin Zhang
Yajun Gao
Hongliu Li
Ating Yin
Duzhen Zhang
Xiuyi Chen
37
0
0
03 Feb 2023
Subsidiary Prototype Alignment for Universal Domain Adaptation
Subsidiary Prototype Alignment for Universal Domain Adaptation
Jogendra Nath Kundu
Suvaansh Bhambri
Akshay Ravindra Kulkarni
Hiran Sarkar
Varun Jampani
R. Venkatesh Babu
39
21
0
28 Oct 2022
Is Out-of-Distribution Detection Learnable?
Is Out-of-Distribution Detection Learnable?
Zhen Fang
Yixuan Li
Jie Lu
Jiahua Dong
Bo Han
Feng Liu
OODD
44
125
0
26 Oct 2022
Autonomous Cross Domain Adaptation under Extreme Label Scarcity
Autonomous Cross Domain Adaptation under Extreme Label Scarcity
Weiwei Weng
Mahardhika Pratama
Choiru Za’in
Marcus Vinícius de Carvalho
Appan Rakaraddi
Andri Ashfahani
E. Yapp
29
7
0
04 Sep 2022
Multi-class Classification with Fuzzy-feature Observations: Theory and
  Algorithms
Multi-class Classification with Fuzzy-feature Observations: Theory and Algorithms
Guangzhi Ma
Jie Lu
Feng Liu
Zhen Fang
Guangquan Zhang
26
6
0
09 Jun 2022
Progressively Select and Reject Pseudo-labelled Samples for Open-Set
  Domain Adaptation
Progressively Select and Reject Pseudo-labelled Samples for Open-Set Domain Adaptation
Qian Wang
Fanlin Meng
T. Breckon
VLM
BDL
25
21
0
25 Oct 2021
Learning Bounds for Open-Set Learning
Learning Bounds for Open-Set Learning
Zhen Fang
Jie Lu
Anjin Liu
Feng Liu
Guangquan Zhang
23
61
0
30 Jun 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Feng Liu
Wenkai Xu
Jie Lu
Danica J. Sutherland
35
20
0
14 Jun 2021
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
Haoang Chi
Feng Liu
Wenjing Yang
L. Lan
Tongliang Liu
Bo Han
William Cheung
James T. Kwok
40
27
0
11 Jun 2021
Fusing Higher-order Features in Graph Neural Networks for Skeleton-based
  Action Recognition
Fusing Higher-order Features in Graph Neural Networks for Skeleton-based Action Recognition
Zhenyue Qin
Yang Liu
Pan Ji
Dongwoo Kim
Lei Wang
Bob McKay
Saeed Anwar
Tom Gedeon
3DPC
34
74
0
04 May 2021
Collective Decision of One-vs-Rest Networks for Open Set Recognition
Collective Decision of One-vs-Rest Networks for Open Set Recognition
Jaeyeon Jang
Chang Ouk Kim
40
25
0
18 Mar 2021
How does the Combined Risk Affect the Performance of Unsupervised Domain
  Adaptation Approaches?
How does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?
Zhong Li
Zhen Fang
Feng Liu
Jie Lu
Bo Yuan
Guangquan Zhang
30
55
0
30 Dec 2020
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting
Jiahua Dong
Yang Cong
Gan Sun
Bingtao Ma
Lichen Wang
3DPC
CLL
48
32
0
16 Dec 2020
Learning from a Complementary-label Source Domain: Theory and Algorithms
Learning from a Complementary-label Source Domain: Theory and Algorithms
Yiyang Zhang
Feng Liu
Zhen Fang
Bo Yuan
Guangquan Zhang
Jie Lu
33
70
0
04 Aug 2020
Transfer Adaptation Learning: A Decade Survey
Transfer Adaptation Learning: A Decade Survey
Lei Zhang
Xinbo Gao
OOD
63
184
0
12 Mar 2019
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
793
0
19 Feb 2009
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