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Unsupervised Domain Adaptation by Backpropagation

Unsupervised Domain Adaptation by Backpropagation

26 September 2014
Yaroslav Ganin
Victor Lempitsky
    OOD
ArXivPDFHTML

Papers citing "Unsupervised Domain Adaptation by Backpropagation"

50 / 1,147 papers shown
Title
Mitigating domain shift in AI-based tuberculosis screening with
  unsupervised domain adaptation
Mitigating domain shift in AI-based tuberculosis screening with unsupervised domain adaptation
Nishanjan Ravin
Sourajit Saha
A. Schweitzer
A. Elahi
Farouk Dako
D. Mollura
David Chapman
OOD
22
0
0
09 Nov 2021
An overview of event extraction and its applications
An overview of event extraction and its applications
Jiangwei Liu
Liangyu Min
Xiaohong Huang
35
19
0
05 Nov 2021
AlphaD3M: Machine Learning Pipeline Synthesis
AlphaD3M: Machine Learning Pipeline Synthesis
Iddo Drori
Yamuna Krishnamurthy
Rémi Rampin
Raoni Lourenço
Jorge Piazentin Ono
Kyunghyun Cho
Claudio Silva
J. Freire
33
85
0
03 Nov 2021
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research
  for Language Understanding Tasks
Adapting to the Long Tail: A Meta-Analysis of Transfer Learning Research for Language Understanding Tasks
Aakanksha Naik
J. Lehman
Carolyn Rose
57
7
0
02 Nov 2021
Deep Transfer Learning for Multi-source Entity Linkage via Domain
  Adaptation
Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation
Di Jin
Bunyamin Sisman
Hao Wei
Xin Luna Dong
Danai Koutra
42
11
0
27 Oct 2021
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data
Gongfan Fang
Yifan Bao
Mingli Song
Xinchao Wang
Don Xie
Chengchao Shen
Xiuming Zhang
43
44
0
27 Oct 2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization
RoMA: Robust Model Adaptation for Offline Model-based Optimization
Sihyun Yu
SungSoo Ahn
Le Song
Jinwoo Shin
OffRL
48
32
0
27 Oct 2021
Ensemble Federated Adversarial Training with Non-IID data
Ensemble Federated Adversarial Training with Non-IID data
Shuang Luo
Didi Zhu
Zexi Li
Chao-Xiang Wu
FedML
33
7
0
26 Oct 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
UBR$^2$S: Uncertainty-Based Resampling and Reweighting Strategy for
  Unsupervised Domain Adaptation
UBR2^22S: Uncertainty-Based Resampling and Reweighting Strategy for Unsupervised Domain Adaptation
Tobias Ringwald
Rainer Stiefelhagen
22
0
0
22 Oct 2021
MixNorm: Test-Time Adaptation Through Online Normalization Estimation
MixNorm: Test-Time Adaptation Through Online Normalization Estimation
Xuefeng Hu
M. Uzunbas
Sirius Chen
Rui Wang
Ashish Shah
Ram Nevatia
Ser-Nam Lim
TTA
28
47
0
21 Oct 2021
Center Loss Regularization for Continual Learning
Center Loss Regularization for Continual Learning
Kaustubh Olpadkar
Ekta Gavas
CLL
46
1
0
21 Oct 2021
Dynamic Feature Alignment for Semi-supervised Domain Adaptation
Dynamic Feature Alignment for Semi-supervised Domain Adaptation
Yu Zhang
G. Liang
Nathan Jacobs
38
10
0
18 Oct 2021
Playing for 3D Human Recovery
Playing for 3D Human Recovery
Zhongang Cai
Mingyuan Zhang
Jiawei Ren
Chen Wei
Daxuan Ren
Zhengyu Lin
Haiyu Zhao
Lei Yang
Chen Change Loy
Ziwei Liu
3DH
90
52
0
14 Oct 2021
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant
  Representations
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations
Ji Xin
Chenyan Xiong
A. Srinivasan
Ankita Sharma
Damien Jose
Paul N. Bennett
VLM
87
41
0
14 Oct 2021
Rethinking Supervised Pre-training for Better Downstream Transferring
Rethinking Supervised Pre-training for Better Downstream Transferring
Yutong Feng
Jianwen Jiang
Mingqian Tang
Rong Jin
Yue Gao
SSL
64
39
0
12 Oct 2021
Fine-Grained Adversarial Semi-supervised Learning
Fine-Grained Adversarial Semi-supervised Learning
Daniele Mugnai
F. Pernici
F. Turchini
A. Bimbo
43
8
0
12 Oct 2021
Towards Open-World Feature Extrapolation: An Inductive Graph Learning
  Approach
Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach
Qitian Wu
Chenxiao Yang
Junchi Yan
27
32
0
09 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
241
0
08 Oct 2021
Scale Invariant Domain Generalization Image Recapture Detection
Scale Invariant Domain Generalization Image Recapture Detection
Jinian Luo
Jie Guo
Weidong Qiu
Zheng Huang
Hong Hui
29
8
0
07 Oct 2021
Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using
  Meta-Learning
Meta-UDA: Unsupervised Domain Adaptive Thermal Object Detection using Meta-Learning
VS Vibashan
Domenick Poster
Suya You
Shuowen Hu
Vishal M. Patel
AI4CE
29
30
0
07 Oct 2021
SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across
  Domain Gap
SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap
T. Park
Marcus Märtens
Gurvan Lécuyer
Dario Izzo
Simone DÁmico
47
81
0
06 Oct 2021
ClimateGAN: Raising Climate Change Awareness by Generating Images of
  Floods
ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods
Victor Schmidt
A. Luccioni
Mélisande Teng
Tianyu Zhang
Alexia Reynaud
...
Gautier Cosne
Adrien Juraver
V. Vardanyan
Alex Hernandez-Garcia
Yoshua Bengio
GAN
AI4CE
33
18
0
06 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
92
64
0
06 Oct 2021
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for
  Unsupervised Optic Disc and Cup Segmentation
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation
Peng Liu
Charlie Tran
Bin Kong
R. Fang
40
17
0
05 Oct 2021
Seeking Similarities over Differences: Similarity-based Domain Alignment
  for Adaptive Object Detection
Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection
Farzaneh Rezaeianaran
Rakshith Shetty
Rahaf Aljundi
Daniel Olmeda Reino
Shanshan Zhang
Bernt Schiele
OOD
69
78
0
04 Oct 2021
Trustworthy AI: From Principles to Practices
Trustworthy AI: From Principles to Practices
Yue Liu
Peng Qi
Bo Liu
Shuai Di
Jingen Liu
Jiquan Pei
Jinfeng Yi
Bowen Zhou
127
357
0
04 Oct 2021
Synergizing between Self-Training and Adversarial Learning for Domain
  Adaptive Object Detection
Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
Muhammad Akhtar Munir
M. H. Khan
M. Sarfraz
Mohsen Ali
ObjD
17
53
0
01 Oct 2021
Deep Learning-based Action Detection in Untrimmed Videos: A Survey
Deep Learning-based Action Detection in Untrimmed Videos: A Survey
Elahe Vahdani
Yingli Tian
77
60
0
30 Sep 2021
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation
Borna Bevsić
Nikhil Gosala
Daniele Cattaneo
Abhinav Valada
35
21
0
30 Sep 2021
Y-GAN: Learning Dual Data Representations for Efficient Anomaly
  Detection
Y-GAN: Learning Dual Data Representations for Efficient Anomaly Detection
Marija Ivanovska
Vitomir Štruc
32
2
0
28 Sep 2021
Multi-source Few-shot Domain Adaptation
Multi-source Few-shot Domain Adaptation
Xiangyu Yue
Zangwei Zheng
Colorado Reed
Hari Prasanna Das
Kurt Keutzer
Alberto L. Sangiovanni-Vincentelli
47
12
0
25 Sep 2021
Integrating Pattern- and Fact-based Fake News Detection via Model
  Preference Learning
Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning
Qiang Sheng
Xueyao Zhang
Juan Cao
L. Zhong
GNN
24
52
0
23 Sep 2021
Domain Generalization for Vision-based Driving Trajectory Generation
Domain Generalization for Vision-based Driving Trajectory Generation
Yunkai Wang
Dongkun Zhang
Yuxiang Cui
Zexi Chen
Wei Jing
Junbo Chen
R. Xiong
Yue Wang
36
3
0
22 Sep 2021
Less is More: Learning from Synthetic Data with Fine-grained Attributes
  for Person Re-Identification
Less is More: Learning from Synthetic Data with Fine-grained Attributes for Person Re-Identification
Suncheng Xiang
Xiaobo Li
Mengyuan Guan
Binghai Yan
Guanjie You
Ting Liu
Yuzhuo Fu
AI4TS
38
32
0
22 Sep 2021
Fairness-aware Class Imbalanced Learning
Fairness-aware Class Imbalanced Learning
Shivashankar Subramanian
Afshin Rahimi
Timothy Baldwin
Trevor Cohn
Lea Frermann
FaML
115
28
0
21 Sep 2021
Multi-Source Video Domain Adaptation with Temporal Attentive Moment
  Alignment
Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment
Yuecong Xu
Jianfei Yang
Haozhi Cao
Keyu Wu
Min-man Wu
Rui Zhao
Zhenghua Chen
TTA
45
22
0
21 Sep 2021
S$^3$VAADA: Submodular Subset Selection for Virtual Adversarial Active
  Domain Adaptation
S3^33VAADA: Submodular Subset Selection for Virtual Adversarial Active Domain Adaptation
Harsh Rangwani
Arihant Jain
Sumukh K Aithal
R. Venkatesh Babu
TTA
49
29
0
18 Sep 2021
A Cautionary Tale of Decorrelating Theory Uncertainties
A Cautionary Tale of Decorrelating Theory Uncertainties
A. Ghosh
Benjamin Nachman
59
17
0
16 Sep 2021
On the Language-specificity of Multilingual BERT and the Impact of
  Fine-tuning
On the Language-specificity of Multilingual BERT and the Impact of Fine-tuning
Marc Tanti
Lonneke van der Plas
Claudia Borg
Albert Gatt
25
10
0
14 Sep 2021
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
Tongkun Xu
Weihua Chen
Pichao Wang
Fan Wang
Hao Li
Rong Jin
ViT
72
216
0
13 Sep 2021
Cross-Market Product Recommendation
Cross-Market Product Recommendation
Hamed Bonab
Mohammad Aliannejadi
Ali Vardasbi
Evangelos Kanoulas
James Allan
36
51
0
13 Sep 2021
HCDG: A Hierarchical Consistency Framework for Domain Generalization on
  Medical Image Segmentation
HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation
Yijun Yang
Shujun Wang
Lei Zhu
Lequan Yu
58
11
0
13 Sep 2021
Adversarial Representation Learning With Closed-Form Solvers
Adversarial Representation Learning With Closed-Form Solvers
Bashir Sadeghi
Lan Wang
Vishnu Boddeti
44
5
0
12 Sep 2021
Domain Adaptation by Maximizing Population Correlation with Neural
  Architecture Search
Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search
Zhixiong Yue
Pengxin Guo
Yu Zhang
25
1
0
12 Sep 2021
Unsupervised Domain Adaptation Schemes for Building ASR in Low-resource
  Languages
Unsupervised Domain Adaptation Schemes for Building ASR in Low-resource Languages
A. C. S.
Prathosh A P
A. G. Ramakrishnan
49
12
0
12 Sep 2021
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation
R. Gong
Martin Danelljan
Dengxin Dai
D. Paudel
Ajad Chhatkuli
Feng Yu
Luc Van Gool
49
9
0
10 Sep 2021
Knowledge-Aware Meta-learning for Low-Resource Text Classification
Knowledge-Aware Meta-learning for Low-Resource Text Classification
Huaxiu Yao
Yingxin Wu
Maruan Al-Shedivat
Eric Xing
VLM
CLIP
72
11
0
10 Sep 2021
Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source
  Pretraining
Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining
Yicheng Zou
Bolin Zhu
Xingwu Hu
Tao Gui
Qi Zhang
93
32
0
09 Sep 2021
Generation, augmentation, and alignment: A pseudo-source domain based
  method for source-free domain adaptation
Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation
Yuntao Du
Haiyang Yang
Mingcai Chen
Juan Jiang
Hongtao Luo
Chongjun Wang
TTA
35
29
0
09 Sep 2021
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