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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
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
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Gradual Domain Adaptation via Self-Training of Auxiliary Models
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Bin Deng
Kui Jia
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PAC Prediction Sets Under Covariate Shift
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102
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PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python
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Xianyuan Liu
Robert Turner
Peizhen Bai
Raivo Koot
Shuo Zhou
Mustafa Chasmai
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37
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0
17 Jun 2021
Deep Subdomain Adaptation Network for Image Classification
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Fuzhen Zhuang
Jindong Wang
Guolin Ke
Jingwu Chen
Jiang Bian
Hui Xiong
Qing He
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0
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Joining datasets via data augmentation in the label space for neural networks
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Mingfeng Ou
Linji Xue
Yunkai Cui
Sai Wu
Gang Chen
31
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0
17 Jun 2021
Costs and Benefits of Fair Regression
Han Zhao
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38
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0
16 Jun 2021
Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation
Fuping Wu
Xiahai Zhuang
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112
74
0
16 Jun 2021
Enriching Source Style Transfer in Recognition-Synthesis based Non-Parallel Voice Conversion
Zhichao Wang
Xinyong Zhou
Fengyu Yang
Tao Li
Hongqiang Du
Lei Xie
Wendong Gan
Haitao Chen
Hai Li
65
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0
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Towards Adversarial Robustness via Transductive Learning
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Tianqi Li
Qicheng Lao
Yingyu Liang
S. Jha
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Learning Stable Classifiers by Transferring Unstable Features
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Regina Barzilay
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82
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KL Guided Domain Adaptation
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Toan M. Tran
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Philip Torr
A. G. Baydin
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82
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Delving Deep into the Generalization of Vision Transformers under Distribution Shifts
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Daisheng Jin
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Zhongang Cai
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Xianglong Liu
Ziwei Liu
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Graph Domain Adaptation: A Generative View
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Zijian Li
Pengfei Wei
Lingling Yi
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Attention-based Domain Adaptation for Single Stage Detectors
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87
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0
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Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization
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Shichao Xu
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Qi Zhu
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111
48
0
13 Jun 2021
Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization
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Ethan Caballero
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Jean-Christophe Gagnon-Audet
Yoshua Bengio
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Irina Rish
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73
270
0
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Invariant Information Bottleneck for Domain Generalization
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Yifei Shen
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Wenzhen Zhu
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97
116
0
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TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
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Feng Liu
Wenjing Yang
L. Lan
Tongliang Liu
Bo Han
William Cheung
James T. Kwok
93
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0
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Enhancing Speaking Styles in Conversational Text-to-Speech Synthesis with Graph-based Multi-modal Context Modeling
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Yi Meng
Chenyi Li
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Helen Meng
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Dan Su
93
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0
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CausalAdv: Adversarial Robustness through the Lens of Causality
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Biwei Huang
Tongliang Liu
Gang Niu
Xinmei Tian
Bo Han
Bernhard Schölkopf
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OOD
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82
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0
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Spectral Unsupervised Domain Adaptation for Visual Recognition
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Jiaxing Huang
Zichen Tian
Shijian Lu
82
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0
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Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent
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Rianne van den Berg
Golnaz Ghiasi
Mostafa Dehghani
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OOD
CLL
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73
21
0
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CogAlign: Learning to Align Textual Neural Representations to Cognitive Language Processing Signals
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Deyi Xiong
105
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0
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AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection
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Tianran Ouyang
Ling Shao
66
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0
10 Jun 2021
Pretrained Encoders are All You Need
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P. Srivatsa
Advait Rane
Shriram Chenniappa
Rishabh Anand
Sherjil Ozair
Pattie Maes
SSL
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81
6
0
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Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units
Sara Meftah
N. Semmar
Y. Tamaazousti
H. Essafi
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50
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0
09 Jun 2021
Learning Domain Invariant Representations by Joint Wasserstein Distance Minimization
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103
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0
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AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation
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Alexey Kurakin
61
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0
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Predicting the Success of Domain Adaptation in Text Similarity
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Shohreh Shaghaghian
13
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0
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Simulated Adversarial Testing of Face Recognition Models
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Cihang Xie
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Alan Yuille
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119
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0
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Towards a Theoretical Framework of Out-of-Distribution Generalization
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Chuanlong Xie
Tianle Cai
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136
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0
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Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation
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Jingjing Li
Hongzu Su
Lei Zhu
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74
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Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation
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100
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An Information-theoretic Approach to Distribution Shifts
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Frustratingly Easy Uncertainty Estimation for Distribution Shift
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OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
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Haoyue Bai
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109
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0
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Quantifying and Improving Transferability in Domain Generalization
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Yaoliang Yu
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94
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0
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Meta-learning with implicit gradients in a few-shot setting for medical image segmentation
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73
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0
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Feature-based Style Randomization for Domain Generalization
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Yinghuan Shi
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96
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0
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Category Contrast for Unsupervised Domain Adaptation in Visual Tasks
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Dayan Guan
Aoran Xiao
Shijian Lu
Ling Shao
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134
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0
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RDA: Robust Domain Adaptation via Fourier Adversarial Attacking
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Shijian Lu
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113
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0
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SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization
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Generalized Domain Adaptation
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Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data
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Mona T. Diab
71
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0
31 May 2021
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