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1505.07818
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Domain-Adversarial Training of Neural Networks
28 May 2015
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
Re-assign community
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Papers citing
"Domain-Adversarial Training of Neural Networks"
50 / 3,643 papers shown
Title
SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining
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Automated Segmentation and Volume Measurement of Intracranial Carotid Artery Calcification on Non-Contrast CT
Gerda Bortsova
D. Bos
Florian Dubost
Meike W. Vernooij
M. Ikram
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Marleen de Bruijne
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0
20 Jul 2021
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures
H. Roth
Dong Yang
Wenqi Li
Andriy Myronenko
Wentao Zhu
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Daguang Xu
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16 Jul 2021
Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains
Puneet Mangla
Shivam Chandhok
V. Balasubramanian
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69
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15 Jul 2021
Zero-Round Active Learning
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14 Jul 2021
Fast Batch Nuclear-norm Maximization and Minimization for Robust Domain Adaptation
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Shuhui Wang
Junbao Zhuo
Liang Li
Qingming Huang
Qi Tian
124
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13 Jul 2021
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains
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Sanath Narayan
Hisham Cholakkal
Rao Muhammad Anwer
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Fahad Shahbaz Khan
Ling Shao
51
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12 Jul 2021
Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
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I. Mason
Christopher K. I. Williams
Bernhard Schölkopf
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70
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Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network
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Jianfei Yang
Haozhi Cao
Qi Li
K. Mao
Zhenghua Chen
AI4TS
91
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11 Jul 2021
ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training
Emadeldeen Eldele
Mohamed Ragab
Zhenghua Chen
Min-man Wu
C. Kwoh
Xiaoli Li
Cuntai Guan
OOD
121
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Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning
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B. Kailkhura
Pin-Yu Chen
Jihun Hamm
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Improving Model Robustness with Latent Distribution Locally and Globally
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Shufei Zhang
Kaizhu Huang
Qiufeng Wang
Rui Zhang
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Challenges for machine learning in clinical translation of big data imaging studies
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Emma Bluemke
V. Sundaresan
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Ana I. L. Namburete
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Predicting with Confidence on Unseen Distributions
Devin Guillory
Vaishaal Shankar
Sayna Ebrahimi
Trevor Darrell
Ludwig Schmidt
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122
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ADAPT : Awesome Domain Adaptation Python Toolbox
Antoine de Mathelin
Mounir Atiq
Guillaume Richard
Alejandro de la Concha
Mouad Yachouti
Franccois Deheeger
Mathilde Mougeot
Nicolas Vayatis
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61
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07 Jul 2021
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation
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Haoliang Li
Lap-pui Chau
Alex C. Kot
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56
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Memory-aware curriculum federated learning for breast cancer classification
Amelia Jiménez-Sánchez
Mickael Tardy
M. A. G. Ballester
Diana Mateus
Gemma Piella
OOD
81
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Generalizing Nucleus Recognition Model in Multi-source Images via Pruning
Jiatong Cai
Chenglu Zhu
C. Cui
Honglin Li
Tong Wu
Shichuan Zhang
Lin Yang
60
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0
06 Jul 2021
Distance-based Hyperspherical Classification for Multi-source Open-Set Domain Adaptation
S. Bucci
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Barbara Caputo
Tatiana Tommasi
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86
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A Systems Theory of Transfer Learning
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Peter A. Beling
50
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02 Jul 2021
Empirically Measuring Transfer Distance for System Design and Operation
Tyler Cody
Stephen C. Adams
Peter A. Beling
39
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On Bridging Generic and Personalized Federated Learning for Image Classification
Hong-You Chen
Wei-Lun Chao
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101
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Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation
Shanu Kumar
V. Kurmi
Praphul Singh
Vinay P. Namboodiri
30
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01 Jul 2021
Neural Task Success Classifiers for Robotic Manipulation from Few Real Demonstrations
A. Mohtasib
Amir Ghalamzan
Nicola Bellotto
Heriberto Cuay´ahuitl
51
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01 Jul 2021
Policy Transfer across Visual and Dynamics Domain Gaps via Iterative Grounding
Grace Zhang
Li Zhong
Youngwoon Lee
Joseph J. Lim
57
15
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CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation
Ankit Singh
126
109
0
30 Jun 2021
Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization
Marin Scalbert
Maria Vakalopoulou
Florent Couzinié-Devy
81
19
0
30 Jun 2021
O2D2: Out-Of-Distribution Detector to Capture Undecidable Trials in Authorship Verification
Benedikt T. Boenninghoff
R. M. Nickel
D. Kolossa
OODD
91
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30 Jun 2021
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles
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Frederick Liu
Besim Avci
Xi Wu
Yingyu Liang
S. Jha
116
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0
29 Jun 2021
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations
A. Puli
Lily H. Zhang
Eric K. Oermann
Rajesh Ranganath
OOD
OODD
85
49
0
29 Jun 2021
Critically examining the Domain Generalizability of Facial Expression Recognition models
Varsha Suresh
G. Yeo
Desmond C. Ong
68
6
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29 Jun 2021
Domain-Class Correlation Decomposition for Generalizable Person Re-Identification
Kaiwen Yang
Xinmei Tian
OOD
112
13
0
29 Jun 2021
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation
Chaithanya Kumar Mummadi
Robin Hutmacher
K. Rambach
Evgeny Levinkov
Thomas Brox
J. H. Metzen
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163
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28 Jun 2021
High-dimensional separability for one- and few-shot learning
Alexander N. Gorban
Bogdan Grechuk
Evgeny M. Mirkes
Sergey V. Stasenko
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DRL
87
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0
28 Jun 2021
Domain Adaptive YOLO for One-Stage Cross-Domain Detection
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H. Tuo
Jian Hu
Z. Jing
ObjD
76
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Domain Conditional Predictors for Domain Adaptation
João Monteiro
Xavier Gibert
Jianqiao Feng
Vincent Dumoulin
Dar-Shyang Lee
OOD
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AI4CE
48
5
0
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Multi-Domain Active Learning: Literature Review and Comparative Study
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Shengcai Liu
Shan He
Ke Tang
OOD
87
14
0
25 Jun 2021
A hybrid model-based and learning-based approach for classification using limited number of training samples
Alireza Nooraiepour
W. Bajwa
N. Mandayam
48
4
0
25 Jun 2021
Classifying Textual Data with Pre-trained Vision Models through Transfer Learning and Data Transformations
Charaf Eddine Benarab
CLIP
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46
2
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Image-to-Image Translation of Synthetic Samples for Rare Classes
Edoardo Lanzini
Sara Beery
34
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23 Jun 2021
Near-Optimal Linear Regression under Distribution Shift
Qi Lei
Wei Hu
Jason D. Lee
OOD
75
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0
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Team PyKale (xy9) Submission to the EPIC-Kitchens 2021 Unsupervised Domain Adaptation Challenge for Action Recognition
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Raivo Koot
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Tao Lei
Haiping Lu
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26
0
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DetectX -- Adversarial Input Detection using Current Signatures in Memristive XBar Arrays
Abhishek Moitra
Priyadarshini Panda
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37
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PALMAR: Towards Adaptive Multi-inhabitant Activity Recognition in Point-Cloud Technology
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M. Rahman
Jared Q. Widberg
120
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Universal Domain Adaptation in Ordinal Regression
Boris Chidlovskii
Assem Sadek
Christian Wolf
78
5
0
22 Jun 2021
f-Domain-Adversarial Learning: Theory and Algorithms
David Acuna
Guojun Zhang
M. Law
Sanja Fidler
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UniTTS: Residual Learning of Unified Embedding Space for Speech Style Control
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Sungjae Kim
Injung Kim
77
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Active Learning for Deep Neural Networks on Edge Devices
Yuya Senzaki
Christian Hamelain
70
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ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation
Guoqiang Wei
Cuiling Lan
Wenjun Zeng
Zhizheng Zhang
Zhibo Chen
91
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Unsupervised Domain Adaptation for Dysarthric Speech Detection via Domain Adversarial Training and Mutual Information Minimization
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Liqun Deng
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Xiao Chen
Xunying Liu
Helen Meng
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