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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
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning
Boshen Shi
Yongqing Wang
Fangda Guo
Jiangli Shao
Huawei Shen
Xueqi Cheng
OODAI4CE
58
6
0
21 Jul 2023
Source-Free Domain Adaptation with Temporal Imputation for Time Series
  Data
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data
Mohamed Ragab
Emadeldeen Eldele
Min-man Wu
Chuan-Sheng Foo
Xiaoli Li
Zhenghua Chen
TTAAI4TS
91
19
0
14 Jul 2023
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection
  in Industrial Time Series: Methods, Applications, and Directions
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Peng Yan
Ahmed Abdulkadir
Paul-Philipp Luley
Matthias Rosenthal
Gerrit A. Schatte
Benjamin Grewe
Thilo Stadelmann
AI4TS
94
67
0
11 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review
Advances and Challenges in Meta-Learning: A Technical Review
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
96
80
0
10 Jul 2023
Distilling Universal and Joint Knowledge for Cross-Domain Model
  Compression on Time Series Data
Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data
Qing Xu
Min-man Wu
Xiaoli Li
K. Mao
Zhenghua Chen
55
5
0
07 Jul 2023
Improving the Transferability of Time Series Forecasting with
  Decomposition Adaptation
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation
Yan-hong Gao
Yan Wang
Qiang Wang
AI4TS
63
0
0
30 Jun 2023
Transfer: Cross Modality Knowledge Transfer using Adversarial Networks
  -- A Study on Gesture Recognition
Transfer: Cross Modality Knowledge Transfer using Adversarial Networks -- A Study on Gesture Recognition
Payal Kamboj
Ayan Banerjee
Sandeep K. S. Gupta
54
1
0
26 Jun 2023
Confidence-Based Model Selection: When to Take Shortcuts for
  Subpopulation Shifts
Confidence-Based Model Selection: When to Take Shortcuts for Subpopulation Shifts
Annie S. Chen
Yoonho Lee
Amrith Rajagopal Setlur
Sergey Levine
Chelsea Finn
OOD
106
5
0
19 Jun 2023
Dual Adaptive Representation Alignment for Cross-domain Few-shot
  Learning
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning
Yifan Zhao
Tong Zhang
Jia Li
Yonghong Tian
88
21
0
18 Jun 2023
Iterative self-transfer learning: A general methodology for response
  time-history prediction based on small dataset
Iterative self-transfer learning: A general methodology for response time-history prediction based on small dataset
Yongjia Xu
Xinzheng Lu
Yifan Fei
Yuli Huang
AI4TSAI4CE
45
15
0
14 Jun 2023
Taxonomy-Structured Domain Adaptation
Taxonomy-Structured Domain Adaptation
Tianyi Liu
Zihao Xu
Hao He
Guang-Yuan Hao
Guang-He Lee
Hao Wang
TTAOOD
141
8
0
13 Jun 2023
FACT: Federated Adversarial Cross Training
FACT: Federated Adversarial Cross Training
Stefan Schrod
Jonas Lippl
Andreas Schäfer
Michael Altenbuchinger
FedMLHILM
65
3
0
01 Jun 2023
HyperTime: Hyperparameter Optimization for Combating Temporal
  Distribution Shifts
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts
Shaokun Zhang
Yiran Wu
Zhonghua Zheng
Qingyun Wu
Chi Wang
OOD
95
8
0
28 May 2023
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
A Comprehensive Overview and Comparative Analysis on Deep Learning Models: CNN, RNN, LSTM, GRU
Farhad Shiri
Thinagaran Perumal
N. Mustapha
Raihani Mohamed
AILawSyDaELMAI4TS
135
159
0
27 May 2023
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target
  Embeddings
Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
Yihao Xue
Ali Payani
Yu Yang
Baharan Mirzasoleiman
VLM
109
4
0
23 May 2023
Adaptive Face Recognition Using Adversarial Information Network
Adaptive Face Recognition Using Adversarial Information Network
Mei Wang
Weihong Deng
OODCVBM
65
5
0
23 May 2023
Single Domain Dynamic Generalization for Iris Presentation Attack
  Detection
Single Domain Dynamic Generalization for Iris Presentation Attack Detection
Yachun Li
Jingjing Wang
Yuhui Chen
Di Xiey
Shiliang Pu
94
4
0
22 May 2023
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype
  Alignment
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment
Hongbin Lin
Mingkui Tan
Yifan Zhang
Zhen Qiu
Shuaicheng Niu
Dong Liu
Qing Du
Yanxia Liu
103
0
0
22 May 2023
DADIN: Domain Adversarial Deep Interest Network for Cross Domain
  Recommender Systems
DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems
Menglin Kong
Muzhou Hou
Shaojie Zhao
Feng Liu
Ri-Qi Su
Ying-Hsiu Chen
50
6
0
20 May 2023
A Survey on Time-Series Pre-Trained Models
A Survey on Time-Series Pre-Trained Models
Qianli Ma
Ziqiang Liu
Zhenjing Zheng
Ziyang Huang
Siying Zhu
Zhongzhong Yu
James T. Kwok
AI4TS
103
56
0
18 May 2023
Supervised Domain Adaptation for Recognizing Retinal Diseases from
  Wide-Field Fundus Images
Supervised Domain Adaptation for Recognizing Retinal Diseases from Wide-Field Fundus Images
Qijie Wei
Jingyuan Yang
Bo Wang
Jinrui Wang
Jianchun Zhao
...
Niranchana Manivannan
Youxin Chen
Dayong Ding
Jing Zhou
Xirong Li
45
3
0
14 May 2023
Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation
Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation
Xiyang Hu
Yan-ping Huang
Beibei Li
Tian Lu
FaML
59
1
0
10 May 2023
Mining bias-target Alignment from Voronoi Cells
Mining bias-target Alignment from Voronoi Cells
Rémi Nahon
Van-Tam Nguyen
Enzo Tartaglione
82
5
0
05 May 2023
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained
  models
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained models
Korawat Tanwisuth
Shujian Zhang
Huangjie Zheng
Pengcheng He
Mingyuan Zhou
VLMVPVLM
192
28
0
29 Apr 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
Benchmarking Low-Shot Robustness to Natural Distribution Shifts
Aaditya K. Singh
Kartik Sarangmath
Prithvijit Chattopadhyay
Judy Hoffman
OOD
92
1
0
21 Apr 2023
Noisy Universal Domain Adaptation via Divergence Optimization for Visual
  Recognition
Noisy Universal Domain Adaptation via Divergence Optimization for Visual Recognition
Qing Yu
Atsushi Hashimoto
Yoshitaka Ushiku
NoLa
61
1
0
20 Apr 2023
Context-aware Domain Adaptation for Time Series Anomaly Detection
Context-aware Domain Adaptation for Time Series Anomaly Detection
Kwei-Herng Lai
Lan Wang
Huiyuan Chen
Kaixiong Zhou
Fei Wang
Hao Yang
Helen Zhou
TTAAI4TS
106
8
0
15 Apr 2023
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation
  for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation
MS-MT: Multi-Scale Mean Teacher with Contrastive Unpaired Translation for Cross-Modality Vestibular Schwannoma and Cochlea Segmentation
Ziyuan Zhao
Kaixin Xu
Huai Zhe Yeo
Xulei Yang
Cuntai Guan
91
6
0
28 Mar 2023
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based
  Cross-Subject Emotion Recognition
EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
Rushuang Zhou
Weishan Ye
Zhiguo Zhang
Yanyang Luo
Li Zhang
Linling Li
G. Huang
Yining Dong
Yuan Zhang
Zhen Liang
78
9
0
27 Mar 2023
On the Importance of Feature Separability in Predicting
  Out-Of-Distribution Error
On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
Renchunzi Xie
Jianguo Huang
Lei Feng
Yuzhou Cao
Bo An
OODDOOD
65
11
0
27 Mar 2023
A Bag-of-Prototypes Representation for Dataset-Level Applications
A Bag-of-Prototypes Representation for Dataset-Level Applications
Wei-Chih Tu
Weijian Deng
Tom Gedeon
Liang Zheng
91
11
0
23 Mar 2023
Feature Alignment and Uniformity for Test Time Adaptation
Feature Alignment and Uniformity for Test Time Adaptation
Shuai Wang
Daoan Zhang
Zipei Yan
Jiang Zhang
Ruizhen Li
TTAOOD
94
47
0
20 Mar 2023
Revisiting Realistic Test-Time Training: Sequential Inference and
  Adaptation by Anchored Clustering Regularized Self-Training
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering Regularized Self-Training
Yongyi Su
Xun Xu
Tianrui Li
Kui Jia
OODTTA
76
17
0
20 Mar 2023
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning
Haoyu He
Jianfei Cai
Jing Zhang
Dacheng Tao
Bohan Zhuang
VPVLM
93
58
0
15 Mar 2023
Visual Contact Pressure Estimation for Grippers in the Wild
Visual Contact Pressure Estimation for Grippers in the Wild
Jeremy Collins
C. Houff
Patrick Grady
Charles C. Kemp
94
3
0
13 Mar 2023
Domain Generalization in Machine Learning Models for Wireless
  Communications: Concepts, State-of-the-Art, and Open Issues
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues
Mohamed Akrout
Amal Feriani
F. Bellili
A. Mezghani
Ekram Hossain
OODAI4CE
103
28
0
13 Mar 2023
Generative Model Based Noise Robust Training for Unsupervised Domain
  Adaptation
Generative Model Based Noise Robust Training for Unsupervised Domain Adaptation
Zhongying Deng
Da Li
Junjun He
Yi-Zhe Song
Tao Xiang
68
0
0
10 Mar 2023
Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation
  and Gradual Alignment
Imbalanced Open Set Domain Adaptation via Moving-threshold Estimation and Gradual Alignment
Jinghan Ru
Jun Tian
Zhekai Du
Chengwei Xiao
Jingjing Li
Jikang Cheng
121
14
0
08 Mar 2023
Guiding Pseudo-labels with Uncertainty Estimation for Source-free
  Unsupervised Domain Adaptation
Guiding Pseudo-labels with Uncertainty Estimation for Source-free Unsupervised Domain Adaptation
Mattia Litrico
Alessio Del Bue
Pietro Morerio
UQCV
124
64
0
07 Mar 2023
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
What Is Missing in IRM Training and Evaluation? Challenges and Solutions
Yihua Zhang
Pranay Sharma
Parikshit Ram
Min-Fong Hong
Kush R. Varshney
Sijia Liu
84
13
0
04 Mar 2023
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised
  Domain Adaptation
Visualizing Transferred Knowledge: An Interpretive Model of Unsupervised Domain Adaptation
Wenxi Xiao
Zhengming Ding
Hongfu Liu
FAtt
50
2
0
04 Mar 2023
In Search for a Generalizable Method for Source Free Domain Adaptation
In Search for a Generalizable Method for Source Free Domain Adaptation
Malik Boudiaf
Tom Denton
B. V. Merrienboer
Vincent Dumoulin
Eleni Triantafillou
TTA
93
19
0
13 Feb 2023
AIDA: Legal Judgment Predictions for Non-Professional Fact Descriptions
  via Partial-and-Imbalanced Domain Adaptation
AIDA: Legal Judgment Predictions for Non-Professional Fact Descriptions via Partial-and-Imbalanced Domain Adaptation
Guangyi Xiao
Xinlong Liu
Hao Chen
J. Guo
Zhiguo Gong
107
0
0
12 Feb 2023
Cross-center Early Sepsis Recognition by Medical Knowledge Guided
  Collaborative Learning for Data-scarce Hospitals
Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce Hospitals
Ruiqing Ding
Fang-Ning Rong
Xiao Han
Leye Wang
70
5
0
11 Feb 2023
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating
  Orthogonal Features
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features
Annie S. Chen
Yoonho Lee
Amrith Rajagopal Setlur
Sergey Levine
Chelsea Finn
VLM
97
11
0
10 Feb 2023
A Prototype-Oriented Clustering for Domain Shift with Source Privacy
A Prototype-Oriented Clustering for Domain Shift with Source Privacy
Korawat Tanwisuth
Shujian Zhang
Pengcheng He
Mingyuan Zhou
77
3
0
08 Feb 2023
Improving Domain Generalization with Domain Relations
Improving Domain Generalization with Domain Relations
Huaxiu Yao
Xinyu Yang
Xinyi Pan
Shengchao Liu
Pang Wei Koh
Chelsea Finn
OODAI4CE
114
10
0
06 Feb 2023
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain
  Adaptation
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
Zihao Xu
Guang-Yuan Hao
Hao He
Hao Wang
145
19
0
06 Feb 2023
Aggregation of Disentanglement: Reconsidering Domain Variations in
  Domain Generalization
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization
Daoan Zhang
Mingkai Chen
Chenming Li
Lingyun Huang
Jianguo Zhang
OOD
109
10
0
05 Feb 2023
Domain Adaptation via Rebalanced Sub-domain Alignment
Domain Adaptation via Rebalanced Sub-domain Alignment
Yi-Ling Liu
Juncheng Dong
Ziyang Jiang
Ahmed Aloui
Keyu Li
Hunter Klein
Vahid Tarokh
David Carlson
81
2
0
03 Feb 2023
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