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Learning Transferable Features with Deep Adaptation Networks
v1v2 (latest)

Learning Transferable Features with Deep Adaptation Networks

10 February 2015
Mingsheng Long
Yue Cao
Jianmin Wang
Sai Li
    OOD
ArXiv (abs)PDFHTML

Papers citing "Learning Transferable Features with Deep Adaptation Networks"

50 / 1,998 papers shown
Title
Predicting Out-of-Distribution Error with the Projection Norm
Predicting Out-of-Distribution Error with the Projection NormInternational Conference on Machine Learning (ICML), 2022
Yaodong Yu
Zitong Yang
Alexander Wei
Yi-An Ma
Jacob Steinhardt
OODD
171
50
0
11 Feb 2022
Positive-Unlabeled Domain Adaptation
Positive-Unlabeled Domain AdaptationInternational Conference on Data Science and Advanced Analytics (DSAA), 2022
Jonas Sonntag
Gunnar Behrens
Lars Schmidt-Thieme
147
3
0
11 Feb 2022
Consistency and Diversity induced Human Motion Segmentation
Consistency and Diversity induced Human Motion SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Tao Zhou
Huazhu Fu
Chen Gong
Ling Shao
Fatih Porikli
Haibin Ling
Jianbing Shen
152
25
0
10 Feb 2022
Domain Adversarial Spatial-Temporal Network: A Transferable Framework
  for Short-term Traffic Forecasting across Cities
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across CitiesInternational Conference on Information and Knowledge Management (CIKM), 2022
Yihong Tang
Ao Qu
A. Chow
W. Lam
S. Wong
Wei-Ying Ma
AI4TS
256
72
0
08 Feb 2022
Towards Micro-video Thumbnail Selection via a Multi-label
  Visual-semantic Embedding Model
Towards Micro-video Thumbnail Selection via a Multi-label Visual-semantic Embedding Model
Liu Bo
76
0
0
07 Feb 2022
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain
  Adaptation
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain AdaptationInternational Conference on Machine Learning (ICML), 2022
Maohao Shen
Yuheng Bu
Greg Wornell
515
19
0
01 Feb 2022
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Provable Domain Generalization via Invariant-Feature Subspace RecoveryInternational Conference on Machine Learning (ICML), 2022
Haoxiang Wang
Haozhe Si
Yue Liu
Han Zhao
OOD
272
37
0
30 Jan 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
157
1
0
28 Jan 2022
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and
  Paired Classifiers
Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired ClassifiersAAAI Conference on Artificial Intelligence (AAAI), 2022
Payam Karisani
160
6
0
28 Jan 2022
Gap Minimization for Knowledge Sharing and Transfer
Gap Minimization for Knowledge Sharing and TransferJournal of machine learning research (JMLR), 2022
Boyu Wang
Jorge Armando Mendez Mendez
Changjian Shui
Fan Zhou
Di Wu
Gezheng Xu
Christian Gagné
Eric Eaton
276
12
0
26 Jan 2022
Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea
  Segmentation via Semi-supervised Learning and Label Fusion
Unsupervised Domain Adaptation for Vestibular Schwannoma and Cochlea Segmentation via Semi-supervised Learning and Label Fusion
Han Liu
Yubo Fan
C. Cui
Dingjie Su
A. McNeil
Benoit M. Dawant
196
5
0
25 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
218
85
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
303
25
0
21 Jan 2022
Domain Generalization via Frequency-domain-based Feature Disentanglement
  and Interaction
Domain Generalization via Frequency-domain-based Feature Disentanglement and InteractionACM Multimedia (ACM MM), 2022
Jing-Yi Wang
Ruoyi Du
Dongliang Chang
Kongming Liang
Zhanyu Ma
OOD
226
57
0
20 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
94
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
164
7
0
17 Jan 2022
Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing
Egeria: Efficient DNN Training with Knowledge-Guided Layer FreezingEuropean Conference on Computer Systems (EuroSys), 2022
Yiding Wang
D. Sun
Kai Chen
Fan Lai
Mosharaf Chowdhury
240
57
0
17 Jan 2022
GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation
GearNet: Stepwise Dual Learning for Weakly Supervised Domain AdaptationAAAI Conference on Artificial Intelligence (AAAI), 2022
Renchunzi Xie
Jianguo Huang
Lei Feng
Bo An
188
12
0
16 Jan 2022
Domain Adaptation via Bidirectional Cross-Attention Transformer
Domain Adaptation via Bidirectional Cross-Attention Transformer
Xiyu Wang
Pengxin Guo
Yu Zhang
ViT
116
26
0
15 Jan 2022
Transferability in Deep Learning: A Survey
Transferability in Deep Learning: A Survey
Junguang Jiang
Yang Shu
Jianmin Wang
Mingsheng Long
OOD
177
127
0
15 Jan 2022
Parameter-free Online Test-time Adaptation
Parameter-free Online Test-time AdaptationComputer Vision and Pattern Recognition (CVPR), 2022
Malik Boudiaf
Romain Mueller
Ismail Ben Ayed
Luca Bertinetto
TTA
184
193
0
15 Jan 2022
Self-semantic contour adaptation for cross modality brain tumor
  segmentation
Self-semantic contour adaptation for cross modality brain tumor segmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2022
Xiaofeng Liu
Fangxu Xing
Xiaofeng Liu
Jonghye Woo
138
17
0
13 Jan 2022
Preserving Domain Private Representation via Mutual Information
  Maximization
Preserving Domain Private Representation via Mutual Information Maximization
Jiahong Chen
Jing Wang
Weipeng Lin
Kuangen Zhang
Clarence W. de Silva
OOD
113
4
0
09 Jan 2022
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation
Revisiting Deep Subspace Alignment for Unsupervised Domain Adaptation
Kowshik Thopalli
Jayaraman J. Thiagarajan
Rushil Anirudh
Pavan Turaga
115
0
0
05 Jan 2022
Modeling Users' Behavior Sequences with Hierarchical Explainable Network
  for Cross-domain Fraud Detection
Modeling Users' Behavior Sequences with Hierarchical Explainable Network for Cross-domain Fraud DetectionThe Web Conference (WWW), 2020
Yongchun Zhu
Dongbo Xi
Bowen Song
Fuzhen Zhuang
Shuai Chen
Xi Gu
Qing He
131
64
0
04 Jan 2022
Aligning Domain-specific Distribution and Classifier for Cross-domain
  Classification from Multiple Sources
Aligning Domain-specific Distribution and Classifier for Cross-domain Classification from Multiple SourcesAAAI Conference on Artificial Intelligence (AAAI), 2019
Yongchun Zhu
Fuzhen Zhuang
Deqing Wang
OOD
236
336
0
04 Jan 2022
Multi-Representation Adaptation Network for Cross-domain Image
  Classification
Multi-Representation Adaptation Network for Cross-domain Image ClassificationNeural Networks (NN), 2019
Yongchun Zhu
Fuzhen Zhuang
Yongfeng Zhang
Jingwu Chen
Zhiping Shi
Wenjuan Wu
Qing He
OOD
219
248
0
04 Jan 2022
Improving Out-of-Distribution Robustness via Selective Augmentation
Improving Out-of-Distribution Robustness via Selective AugmentationInternational Conference on Machine Learning (ICML), 2022
Huaxiu Yao
Yu Wang
Sai Li
Linjun Zhang
Weixin Liang
James Zou
Chelsea Finn
OODOODD
308
252
0
02 Jan 2022
Optimal Representations for Covariate Shift
Optimal Representations for Covariate ShiftInternational Conference on Learning Representations (ICLR), 2021
Yangjun Ruan
Yann Dubois
Chris J. Maddison
OOD
392
74
0
31 Dec 2021
An Unsupervised Domain Adaptation Model based on Dual-module Adversarial
  Training
An Unsupervised Domain Adaptation Model based on Dual-module Adversarial Training
Yiju Yang
Tianxiao Zhang
Guanyue Li
Taejoon Kim
Guanghui Wang
OOD
190
29
0
31 Dec 2021
Domain Adaptation with Category Attention Network for Deep Sentiment
  Analysis
Domain Adaptation with Category Attention Network for Deep Sentiment AnalysisThe Web Conference (WWW), 2020
Dongbo Xi
Fuzhen Zhuang
Ganbin Zhou
X. Cheng
Fen Lin
Qing He
OOD
120
20
0
31 Dec 2021
Feature matching as improved transfer learning technique for wearable
  EEG
Feature matching as improved transfer learning technique for wearable EEGBiomedical Signal Processing and Control (BSPC), 2021
E. Heremans
Huy P Phan
A. Ansari
Pascal Borzée
B. Buyse
D. Testelmans
M. D. Vos
OOD
149
13
0
29 Dec 2021
FRuDA: Framework for Distributed Adversarial Domain Adaptation
FRuDA: Framework for Distributed Adversarial Domain AdaptationIEEE Transactions on Parallel and Distributed Systems (TPDS), 2021
Shaoduo Gan
Akhil Mathur
Anton Isopoussu
F. Kawsar
N. Bianchi-Berthouze
Nicholas D. Lane
138
15
0
26 Dec 2021
Geometry-Aware Unsupervised Domain Adaptation
Geometry-Aware Unsupervised Domain Adaptation
You-Wei Luo
Chuan-Xian Ren
Ziliang Chen
190
0
0
21 Dec 2021
Encoding Hierarchical Information in Neural Networks helps in
  Subpopulation Shift
Encoding Hierarchical Information in Neural Networks helps in Subpopulation ShiftIEEE Transactions on Artificial Intelligence (IEEE TAI), 2021
Amitangshu Mukherjee
Isha Garg
Kaushik Roy
144
6
0
20 Dec 2021
Reciprocal Normalization for Domain Adaptation
Reciprocal Normalization for Domain AdaptationPattern Recognition (Pattern Recogn.), 2021
Zhiyong Huang
Kekai Sheng
Ke Li
Jian Liang
Taiping Yao
Weiming Dong
D. Zhou
Xing Sun
152
12
0
20 Dec 2021
Pre-Training Transformers for Domain Adaptation
Pre-Training Transformers for Domain Adaptation
Burhan Ul Tayyab
Nicholas Chua
ViT
137
3
0
18 Dec 2021
UMAD: Universal Model Adaptation under Domain and Category Shift
UMAD: Universal Model Adaptation under Domain and Category Shift
Jian Liang
Dapeng Hu
Jiashi Feng
Ran He
152
34
0
16 Dec 2021
Invariance Through Latent Alignment
Invariance Through Latent Alignment
Takuma Yoneda
Ge Yang
Matthew R. Walter
Bradly C. Stadie
OOD
167
11
0
15 Dec 2021
A Style and Semantic Memory Mechanism for Domain Generalization
A Style and Semantic Memory Mechanism for Domain Generalization
Yang Chen
Yu Wang
Yingwei Pan
Ting Yao
Xinmei Tian
Tao Mei
129
46
0
14 Dec 2021
Transferrable Contrastive Learning for Visual Domain Adaptation
Transferrable Contrastive Learning for Visual Domain Adaptation
Yang Chen
Yingwei Pan
Yu Wang
Ting Yao
Xinmei Tian
Tao Mei
148
26
0
14 Dec 2021
Generalization Bounds for Stochastic Gradient Langevin Dynamics: A
  Unified View via Information Leakage Analysis
Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis
Bingzhe Wu
Zhicong Liang
Yatao Bian
Chaochao Chen
Junzhou Huang
Yuan Yao
99
1
0
14 Dec 2021
A Survey of Unsupervised Domain Adaptation for Visual Recognition
A Survey of Unsupervised Domain Adaptation for Visual Recognition
Youshan Zhang
OOD
175
50
0
13 Dec 2021
Semi-supervised Domain Adaptive Structure Learning
Semi-supervised Domain Adaptive Structure Learning
Can Qin
Lichen Wang
Qianqian Ma
Yu Yin
Huan Wang
Y. Fu
TTA
187
28
0
12 Dec 2021
Extending the WILDS Benchmark for Unsupervised Adaptation
Extending the WILDS Benchmark for Unsupervised Adaptation
Shiori Sagawa
Pang Wei Koh
Tony Lee
Irena Gao
Sang Michael Xie
...
Kate Saenko
Tatsunori Hashimoto
Sergey Levine
Chelsea Finn
Abigail Z. Jacobs
OOD
154
110
0
09 Dec 2021
Illumination and Temperature-Aware Multispectral Networks for
  Edge-Computing-Enabled Pedestrian Detection
Illumination and Temperature-Aware Multispectral Networks for Edge-Computing-Enabled Pedestrian Detection
Yifan Zhuang
Ziyuan Pu
Jia Hu
Yinhai Wang
144
29
0
09 Dec 2021
AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach
AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach
Xiao-yang Song
Guorun Yang
Xinge Zhu
Hui Zhou
Yuexin Ma
Zhe Wang
Jianping Shi
152
17
0
09 Dec 2021
Burn After Reading: Online Adaptation for Cross-domain Streaming Data
Burn After Reading: Online Adaptation for Cross-domain Streaming Data
Luyu Yang
M. Gao
Zeyuan Chen
Ran Xu
Abhinav Shrivastava
Chetan Ramaiah
107
4
0
08 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
153
35
0
08 Dec 2021
Unsupervised Domain Adaptation for Semantic Image Segmentation: a
  Comprehensive Survey
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey
G. Csurka
Riccardo Volpi
Boris Chidlovskii
OODVLM3DV
206
43
0
06 Dec 2021
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