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Deep Domain Confusion: Maximizing for Domain Invariance

Deep Domain Confusion: Maximizing for Domain Invariance

10 December 2014
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
    OOD
ArXiv (abs)PDFHTML

Papers citing "Deep Domain Confusion: Maximizing for Domain Invariance"

50 / 959 papers shown
Title
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms
  and Research Challenges
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges
Zhenghua Chen
Min-man Wu
Alvin Chan
Xiaoli Li
Yew-Soon Ong
74
7
0
08 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
CMLTTAAI4TS
68
5
0
07 May 2022
On Disentangled and Locally Fair Representations
On Disentangled and Locally Fair Representations
Yaron Gurovich
Sagie Benaim
Lior Wolf
FaML
27
0
0
05 May 2022
Creating a Forensic Database of Shoeprints from Online Shoe Tread Photos
Creating a Forensic Database of Shoeprints from Online Shoe Tread Photos
Samia Shafique
Bailey Kong
Shu Kong
Charless C. Fowlkes
64
3
0
04 May 2022
EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking
EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking
Rakshit Kothari
Reynold J. Bailey
Christopher Kanan
J. Pelz
Gabriel J. Diaz
OOD
77
10
0
04 May 2022
Joint Multisided Exposure Fairness for Recommendation
Joint Multisided Exposure Fairness for Recommendation
Haolun Wu
Bhaskar Mitra
Chen Ma
Fernando Diaz
Xue Liu
FaML
108
65
0
29 Apr 2022
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in
  Semantic Segmentation
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation
A. Saporta
Arthur Douillard
Tuan-Hung Vu
Patrick Pérez
Matthieu Cord
CLL
103
21
0
25 Apr 2022
Joint Feature Distribution Alignment Learning for NIR-VIS and VIS-VIS
  Face Recognition
Joint Feature Distribution Alignment Learning for NIR-VIS and VIS-VIS Face Recognition
T. Miyamoto
H. Hashimoto
Akihiro Hayasaka
Akinori F. Ebihara
Hitoshi Imaoka
CVBM
68
5
0
25 Apr 2022
Contrastive Test-Time Adaptation
Contrastive Test-Time Adaptation
Dian Chen
Dequan Wang
Trevor Darrell
Sayna Ebrahimi
TTA
96
270
0
21 Apr 2022
Benchmarking Domain Generalization on EEG-based Emotion Recognition
Benchmarking Domain Generalization on EEG-based Emotion Recognition
Yan Li
Hao Chen
Jake Zhao
Haolan Zhang
Jinpeng Li
OOD
64
6
0
18 Apr 2022
Safe Self-Refinement for Transformer-based Domain Adaptation
Safe Self-Refinement for Transformer-based Domain Adaptation
Tao Sun
Cheng Lu
Tianshuo Zhang
Haibin Ling
ViT
73
87
0
16 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
53
0
0
12 Apr 2022
Reusing the Task-specific Classifier as a Discriminator:
  Discriminator-free Adversarial Domain Adaptation
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation
Lin Chen
H. Chen
Zhixiang Wei
Xin Jin
Xiao Tan
Yi Jin
Enhong Chen
88
107
0
08 Apr 2022
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
Jin Yuan
Feng Hou
Yangzhou Du
Zhongchao Shi
Xin Geng
Jianping Fan
Yong Rui
SSLOOD
78
20
0
08 Apr 2022
Domain Adaptation for Time-Series Classification to Mitigate Covariate
  Shift
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift
Felix Ott
David Rügamer
Lucas Heublein
Bernd Bischl
Christopher Mutschler
OODTTAAI4TS
89
33
0
07 Apr 2022
Co-Teaching for Unsupervised Domain Adaptation and Expansion
Co-Teaching for Unsupervised Domain Adaptation and Expansion
Kaibin Tian
Qijie Wei
Xirong Li
114
1
0
04 Apr 2022
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised
  Domain Adaptation
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation
Kendrick Shen
Robbie Jones
Ananya Kumar
Sang Michael Xie
Jeff Z. HaoChen
Tengyu Ma
Percy Liang
SSL
121
89
0
01 Apr 2022
Few-shot One-class Domain Adaptation Based on Frequency for Iris
  Presentation Attack Detection
Few-shot One-class Domain Adaptation Based on Frequency for Iris Presentation Attack Detection
Yachun Li
Yingzi Lian
Jingjing Wang
Yuhui Chen
Chunmao Wang
Shiliang Pu
CVBM
79
5
0
01 Apr 2022
SimVQA: Exploring Simulated Environments for Visual Question Answering
SimVQA: Exploring Simulated Environments for Visual Question Answering
Paola Cascante-Bonilla
Hui Wu
Letao Wang
Rogerio Feris
Vicente Ordonez
91
7
0
31 Mar 2022
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
Learning Instance-Specific Adaptation for Cross-Domain Segmentation
Yuliang Zou
Zizhao Zhang
Chun-Liang Li
Han Zhang
Tomas Pfister
Jia-Bin Huang
TTAOOD
107
14
0
30 Mar 2022
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose
  Estimation
Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
Jogendra Nath Kundu
Siddharth Seth
YM Pradyumna
Varun Jampani
Anirban Chakraborty
R. Venkatesh Babu
3DH
87
32
0
29 Mar 2022
Semantic-guided Disentangled Representation for Unsupervised
  Cross-modality Medical Image Segmentation
Semantic-guided Disentangled Representation for Unsupervised Cross-modality Medical Image Segmentation
Shuailong Wang
Rui Li
79
1
0
26 Mar 2022
Compound Domain Generalization via Meta-Knowledge Encoding
Compound Domain Generalization via Meta-Knowledge Encoding
Chaoqi Chen
Jiongcheng Li
Xiaoguang Han
Xiaoqing Liu
Yizhou Yu
AI4CE
102
60
0
24 Mar 2022
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework
  with Adaptive Neighbor Matching
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching
Zexi Li
Jiaxun Lu
Shuang Luo
Didi Zhu
Yunfeng Shao
Yinchuan Li
Zhimeng Zhang
Yongheng Wang
Chao-Xiang Wu
FedML
95
38
0
23 Mar 2022
Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition
Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition
Junho Kim
I. Hwang
Y. Kim
TTA
86
29
0
23 Mar 2022
A Broad Study of Pre-training for Domain Generalization and Adaptation
A Broad Study of Pre-training for Domain Generalization and Adaptation
Donghyun Kim
Kaihong Wang
Stan Sclaroff
Kate Saenko
OODAI4CE
128
81
0
22 Mar 2022
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient
  Approach to Multi-Modality Medical Image Segmentation
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation
Cheng Bian
Chenglang Yuan
Kai Ma
Shuang Yu
Dong Wei
Yefeng Zheng
VLMMedIm
62
32
0
19 Mar 2022
Generalized Classification of Satellite Image Time Series with Thermal
  Positional Encoding
Generalized Classification of Satellite Image Time Series with Thermal Positional Encoding
Joachim Nyborg
Charlotte Pelletier
Ira Assent
85
19
0
17 Mar 2022
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data
Mohamed Ragab
Emadeldeen Eldele
Wee Ling Tan
Chuan-Sheng Foo
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
TTAOODAI4TS
78
72
0
15 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
83
2
0
14 Mar 2022
Dynamic Instance Domain Adaptation
Dynamic Instance Domain Adaptation
Zhongying Deng
Kaiyang Zhou
Da Li
Junjun He
Yi-Zhe Song
Tao Xiang
OOD
99
34
0
09 Mar 2022
Domain Generalization using Pretrained Models without Fine-tuning
Domain Generalization using Pretrained Models without Fine-tuning
Ziyue Li
Kan Ren
Xinyang Jiang
Yue Liu
Haipeng Zhang
Dongsheng Li
VLM
94
38
0
09 Mar 2022
Robust Local Preserving and Global Aligning Network for Adversarial
  Domain Adaptation
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation
Jingyao Wang
Jiangmeng Li
C. Zheng
Fuchun Sun
Hui Xiong
41
25
0
08 Mar 2022
Attribute Descent: Simulating Object-Centric Datasets on the Content
  Level and Beyond
Attribute Descent: Simulating Object-Centric Datasets on the Content Level and Beyond
Yue Yao
Liang Zheng
Xiaodong Yang
Milind Napthade
Tom Gedeon
89
17
0
28 Feb 2022
Augmentation based unsupervised domain adaptation
Augmentation based unsupervised domain adaptation
Mauricio Orbes-Arteaga
Thomas Varsavsky
Lauge Sørensen
Mads Nielsen
A. Pai
Sebastien Ourselin
Marc Modat
Jorge Cardoso
OOD
50
3
0
23 Feb 2022
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through
  Rate Prediction
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction
Sihao Hu
Yihan Cao
Yu Gong
Zhao Li
Yazheng Yang
Qingwen Liu
S. Ji
61
12
0
21 Feb 2022
Priming Cross-Session Motor Imagery Classification with A Universal Deep
  Domain Adaptation Framework
Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation Framework
Zhengqing Miao
Xin Zhang
C. Menon
Yelong Zheng
Mei-rong Zhao
Dong Ming
76
19
0
19 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
86
25
0
19 Feb 2022
Domain Adaptation via Prompt Learning
Domain Adaptation via Prompt Learning
Chunjiang Ge
Rui Huang
Mixue Xie
Zihang Lai
Shiji Song
Shuang Li
Gao Huang
VPVLMVLM
134
155
0
14 Feb 2022
PR-PL: A Novel Transfer Learning Framework with Prototypical
  Representation based Pairwise Learning for EEG-Based Emotion Recognition
PR-PL: A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for EEG-Based Emotion Recognition
Rushuang Zhou
Zhiguo Zhang
Hong Fu
Li Zhang
Linling Li
G. Huang
Yining Dong
Fali Li
Xinhong Yang
Zhen Liang
80
8
0
14 Feb 2022
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation
Yadan Luo
Zijian Wang
Zhuoxiao Chen
Zi Huang
Mahsa Baktashmotlagh
AI4CE
123
34
0
13 Feb 2022
Graph-Relational Domain Adaptation
Graph-Relational Domain Adaptation
Zihao Xu
Hao He
Guang-He Lee
Yuyang Wang
Hao Wang
OOD
91
28
0
08 Feb 2022
Diversify and Disambiguate: Learning From Underspecified Data
Diversify and Disambiguate: Learning From Underspecified Data
Yoonho Lee
Huaxiu Yao
Chelsea Finn
302
66
0
07 Feb 2022
Fair Interpretable Representation Learning with Correction Vectors
Fair Interpretable Representation Learning with Correction Vectors
Mattia Cerrato
A. Coronel
Marius Köppel
A. Segner
Roberto Esposito
Stefan Kramer
FaML
64
5
0
07 Feb 2022
Shuffle Augmentation of Features from Unlabeled Data for Unsupervised
  Domain Adaptation
Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation
Changwei Xu
Jianfei Yang
Haoran Tang
Han Zou
Cheng Lu
Tianshuo Zhang
83
1
0
28 Jan 2022
E-ADDA: Unsupervised Adversarial Domain Adaptation Enhanced by a New
  Mahalanobis Distance Loss for Smart Computing
E-ADDA: Unsupervised Adversarial Domain Adaptation Enhanced by a New Mahalanobis Distance Loss for Smart Computing
Ye Gao
Brian R. Baucom
Karen Rose
Kristin D. Gordon
Hongning Wang
John A. Stankovic
AAML
99
1
0
24 Jan 2022
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for
  AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise
  Annotations
DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations
Yuanfeng Ji
Jun Liu
Jiaxiang Wu
Bing Wu
Long-Kai Huang
...
Ping Luo
Shuigeng Zhou
Junzhou Huang
Peilin Zhao
Yatao Bian
OOD
138
75
0
24 Jan 2022
How does unlabeled data improve generalization in self-training? A
  one-hidden-layer theoretical analysis
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
Shuai Zhang
Ming Wang
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
SSLMLT
124
23
0
21 Jan 2022
A Privacy-Preserving Unsupervised Domain Adaptation Framework for
  Clinical Text Analysis
A Privacy-Preserving Unsupervised Domain Adaptation Framework for Clinical Text Analysis
Qi A. An
Ruijiang Li
Lin Gu
Hao Zhang
Qingyu Chen
Zhiyong Lu
Fei Wang
Yingying Zhu
OOD
38
4
0
18 Jan 2022
OmniPrint: A Configurable Printed Character Synthesizer
OmniPrint: A Configurable Printed Character Synthesizer
Haozhe Sun
Wei-Wei Tu
Isabelle M Guyon
SyDa
88
7
0
17 Jan 2022
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