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Bridging Theory and Algorithm for Domain Adaptation

Bridging Theory and Algorithm for Domain Adaptation

11 April 2019
Yuchen Zhang
Tianle Liu
Mingsheng Long
Michael I. Jordan
ArXivPDFHTML

Papers citing "Bridging Theory and Algorithm for Domain Adaptation"

50 / 160 papers shown
Title
Why the pseudo label based semi-supervised learning algorithm is
  effective?
Why the pseudo label based semi-supervised learning algorithm is effective?
Zeping Min
Qian Ge
Cheng Tai
MLT
34
4
0
18 Nov 2022
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive
  Survey
Video Unsupervised Domain Adaptation with Deep Learning: A Comprehensive Survey
Yuecong Xu
Haozhi Cao
Zhenghua Chen
Xiaoli Li
Lihua Xie
Jianfei Yang
29
14
0
17 Nov 2022
Explaining Cross-Domain Recognition with Interpretable Deep Classifier
Explaining Cross-Domain Recognition with Interpretable Deep Classifier
Yiheng Zhang
Ting Yao
Zhaofan Qiu
Tao Mei
OOD
42
3
0
15 Nov 2022
Generalized Balancing Weights via Deep Neural Networks
Generalized Balancing Weights via Deep Neural Networks
Yoshiaki Kitazawa
BDL
CML
30
1
0
14 Nov 2022
Variational Model Perturbation for Source-Free Domain Adaptation
Variational Model Perturbation for Source-Free Domain Adaptation
Mengmeng Jing
Xiantong Zhen
Jingjing Li
Cees G. M. Snoek
44
26
0
19 Oct 2022
Task-Free Continual Learning via Online Discrepancy Distance Learning
Task-Free Continual Learning via Online Discrepancy Distance Learning
Fei Ye
A. Bors
CLL
29
28
0
12 Oct 2022
How Much Data Are Augmentations Worth? An Investigation into Scaling
  Laws, Invariance, and Implicit Regularization
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization
Jonas Geiping
Micah Goldblum
Gowthami Somepalli
Ravid Shwartz-Ziv
Tom Goldstein
A. Wilson
31
37
0
12 Oct 2022
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Information-Theoretic Analysis of Unsupervised Domain Adaptation
Ziqiao Wang
Yongyi Mao
51
12
0
03 Oct 2022
Leveraging unsupervised data and domain adaptation for deep regression
  in low-cost sensor calibration
Leveraging unsupervised data and domain adaptation for deep regression in low-cost sensor calibration
Swapnil Dey
Vipul Arora
S. Tripathi
OOD
35
1
0
02 Oct 2022
Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation
Lin Chen
Zhixiang Wei
Xin Jin
H. Chen
Miao Zheng
Kaikang Chen
Yi-jing Jin
40
37
0
16 Sep 2022
Delving into the Continuous Domain Adaptation
Delving into the Continuous Domain Adaptation
Yinsong Xu
Zhuqing Jiang
Aidong Men
Yang Liu
Qingchao Chen
32
4
0
28 Aug 2022
Domain Adaptation with Adversarial Training on Penultimate Activations
Domain Adaptation with Adversarial Training on Penultimate Activations
Tao Sun
Cheng Lu
Haibin Ling
34
15
0
26 Aug 2022
Subtype-Aware Dynamic Unsupervised Domain Adaptation
Subtype-Aware Dynamic Unsupervised Domain Adaptation
Xiaofeng Liu
Fangxu Xing
Jane You
Jun Lu
C.-C. Jay Kuo
Xiaofeng Liu
Jonghye Woo
OOD
44
6
0
16 Aug 2022
CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net
  for the Single-Corpus and Cross-Corpus Speech Emotion Recognition
CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for the Single-Corpus and Cross-Corpus Speech Emotion Recognition
Xin-Cheng Wen
Jiaxin Ye
Yan Luo
Yong-mei Xu
Xinyu Wang
Changqing Wu
Kun Liu
40
30
0
18 Jul 2022
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners
PAC-Bayesian Domain Adaptation Bounds for Multiclass Learners
Anthony Sicilia
Katherine Atwell
Malihe Alikhani
Seong Jae Hwang
BDL
56
9
0
12 Jul 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
40
119
0
16 Jun 2022
Slimmable Domain Adaptation
Slimmable Domain Adaptation
Rang Meng
Weijie Chen
Shicai Yang
Mingli Song
Luojun Lin
Di Xie
Shiliang Pu
Xinchao Wang
Mingli Song
Yueting Zhuang
32
12
0
14 Jun 2022
Fair Classification via Domain Adaptation: A Dual Adversarial Learning
  Approach
Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach
Yueqing Liang
Canyu Chen
Tian Tian
Kai Shu
FaML
24
9
0
08 Jun 2022
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free
  Domain Adaptation
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation
Yuhe Ding
Lijun Sheng
Jian Liang
A. Zheng
Ran He
52
47
0
29 May 2022
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of
  Black-Box Predictors
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
Jianfei Yang
Xiangyu Peng
Kaidi Wang
Zheng Hua Zhu
Jiashi Feng
Lihua Xie
Yang You
37
27
0
28 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial
  Attacks
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks
Siddhartha Datta
AAML
41
4
0
15 May 2022
Attracting and Dispersing: A Simple Approach for Source-free Domain
  Adaptation
Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Kai Wang
Shangling Jui
Joost van de Weijer
32
133
0
09 May 2022
Time-Series Domain Adaptation via Sparse Associative Structure
  Alignment: Learning Invariance and Variance
Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance
Zijian Li
Ruichu Cai
Jiawei Chen
Yuguang Yan
Wei Chen
Keli Zhang
Junjian Ye
CML
TTA
AI4TS
42
5
0
07 May 2022
Source-Free Domain Adaptation via Distribution Estimation
Source-Free Domain Adaptation via Distribution Estimation
Ning Ding
Yixing Xu
Yehui Tang
Chao Xu
Yunhe Wang
Dacheng Tao
TTA
20
112
0
24 Apr 2022
Calibrating Class Weights with Multi-Modal Information for Partial Video
  Domain Adaptation
Calibrating Class Weights with Multi-Modal Information for Partial Video Domain Adaptation
Xiyu Wang
Yuecong Xu
K. Mao
Jianfei Yang
26
8
0
13 Apr 2022
On the Equity of Nuclear Norm Maximization in Unsupervised Domain
  Adaptation
On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation
Wenju Zhang
Xiang Zhang
Qing Liao
L. Lan
Mengzhu Wang
Wei Wang
Baoyun Peng
Zhengming Ding
19
0
0
12 Apr 2022
The Two Dimensions of Worst-case Training and the Integrated Effect for
  Out-of-domain Generalization
The Two Dimensions of Worst-case Training and the Integrated Effect for Out-of-domain Generalization
Zeyi Huang
Haohan Wang
Dong Huang
Yong Jae Lee
Eric P. Xing
23
22
0
09 Apr 2022
Task-specific Inconsistency Alignment for Domain Adaptive Object
  Detection
Task-specific Inconsistency Alignment for Domain Adaptive Object Detection
Liang Zhao
Limin Wang
37
75
0
29 Mar 2022
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised
  Domain Adaptation
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised Domain Adaptation
Yong-Jin Liu
Chuan-Xian Ren
Xiao-Lin Xu
Ke-Kun Huang
OOD
35
2
0
14 Mar 2022
Deep Residual Reinforcement Learning based Autonomous Blimp Control
Deep Residual Reinforcement Learning based Autonomous Blimp Control
Y. Liu
Eric Price
Michael J. Black
Aamir Ahmad
AI4CE
18
11
0
10 Mar 2022
Connecting sufficient conditions for domain adaptation: source-guided
  uncertainty, relaxed divergences and discrepancy localization
Connecting sufficient conditions for domain adaptation: source-guided uncertainty, relaxed divergences and discrepancy localization
Sofien Dhouib
S. Maghsudi
50
2
0
09 Mar 2022
Unsupervised Domain Adaptation across FMCW Radar Configurations Using
  Margin Disparity Discrepancy
Unsupervised Domain Adaptation across FMCW Radar Configurations Using Margin Disparity Discrepancy
Rodrigo Hernangómez
Igor Bjelakovic
Lorenzo Servadei
S. Stańczak
38
0
0
09 Mar 2022
Domain-Augmented Domain Adaptation
Domain-Augmented Domain Adaptation
Qiuhao Zeng
Tianze Luo
Boyu Wang
21
2
0
21 Feb 2022
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian
  Perspective
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective
Shanshan Wang
Lei Zhang
Pichao Wang
46
23
0
19 Feb 2022
Gap Minimization for Knowledge Sharing and Transfer
Gap Minimization for Knowledge Sharing and Transfer
Boyu Wang
Jorge Armando Mendez Mendez
Changjian Shui
Fan Zhou
Di Wu
Gezheng Xu
Christian Gagné
Eric Eaton
28
10
0
26 Jan 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
41
101
0
15 Jan 2022
Unsupervised Domain Adaptation for Constraining Star Formation Histories
Unsupervised Domain Adaptation for Constraining Star Formation Histories
Sankalp Gilda
Antoine de Mathelin
Sabine Bellstedt
Guillaume Richard
45
10
0
28 Dec 2021
Reciprocal Normalization for Domain Adaptation
Reciprocal Normalization for Domain Adaptation
Zhiyong Huang
Kekai Sheng
Ke Li
Jian Liang
Taiping Yao
Weiming Dong
D. Zhou
Xing Sun
46
11
0
20 Dec 2021
Pareto Domain Adaptation
Pareto Domain Adaptation
Fangrui Lv
Jian Liang
Kaixiong Gong
Shuang Li
Chi Harold Liu
Han Li
Di Liu
Guoren Wang
15
31
0
08 Dec 2021
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and
  Curriculum Learning
Boosting Unsupervised Domain Adaptation with Soft Pseudo-label and Curriculum Learning
Shengjia Zhang
Tiancheng Lin
Yi Tian Xu
35
5
0
03 Dec 2021
Learning to Transfer for Traffic Forecasting via Multi-task Learning
Learning to Transfer for Traffic Forecasting via Multi-task Learning
Y. Lu
AI4TS
40
7
0
27 Nov 2021
Privacy-preserving Federated Adversarial Domain Adaption over Feature
  Groups for Interpretability
Privacy-preserving Federated Adversarial Domain Adaption over Feature Groups for Interpretability
Yan Kang
Yang Liu
Yuezhou Wu
Guoqiang Ma
Qiang Yang
19
39
0
22 Nov 2021
Towards Optimal Strategies for Training Self-Driving Perception Models
  in Simulation
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation
David Acuna
Jonah Philion
Sanja Fidler
OOD
18
16
0
15 Nov 2021
Probabilistic Contrastive Learning for Domain Adaptation
Probabilistic Contrastive Learning for Domain Adaptation
Junjie Li
Yixin Zhang
Zilei Wang
Saihui Hou
Keyu Tu
Man Zhang
43
14
0
11 Nov 2021
Toward Learning Human-aligned Cross-domain Robust Models by Countering
  Misaligned Features
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features
Haohan Wang
Zeyi Huang
Hanlin Zhang
Yong Jae Lee
Eric P. Xing
OOD
141
16
0
05 Nov 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
A Prototype-Oriented Framework for Unsupervised Domain Adaptation
Korawat Tanwisuth
Xinjie Fan
Huangjie Zheng
Shujian Zhang
A. Leon-Garcia
Bo Chen
Mingyuan Zhou
64
102
0
22 Oct 2021
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain
  Adaptation
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation
Shiqi Yang
Yaxing Wang
Joost van de Weijer
Luis Herranz
Shangling Jui
TTA
33
240
0
08 Oct 2021
Decoupled Adaptation for Cross-Domain Object Detection
Decoupled Adaptation for Cross-Domain Object Detection
Junguang Jiang
Baixu Chen
Jianmin Wang
Mingsheng Long
ObjD
71
64
0
06 Oct 2021
Domain-Specific Bias Filtering for Single Labeled Domain Generalization
Domain-Specific Bias Filtering for Single Labeled Domain Generalization
Junkun Yuan
Xu Ma
Defang Chen
Kun Kuang
Fei Wu
Lanfen Lin
53
23
0
02 Oct 2021
Autonomous Blimp Control using Deep Reinforcement Learning
Autonomous Blimp Control using Deep Reinforcement Learning
Y. Liu
Eric Price
Pascal Goldschmid
Michael J. Black
Aamir Ahmad
AI4CE
32
3
0
22 Sep 2021
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