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Domain-Adversarial Training of Neural Networks
v1v2v3v4 (latest)

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
    GANOOD
ArXiv (abs)PDFHTML

Papers citing "Domain-Adversarial Training of Neural Networks"

50 / 3,643 papers shown
Title
A Closer Look at Smoothness in Domain Adversarial Training
A Closer Look at Smoothness in Domain Adversarial Training
Harsh Rangwani
Sumukh K Aithal
Mayank Mishra
Arihant Jain
R. Venkatesh Babu
118
122
0
16 Jun 2022
A Simple Baseline for Adversarial Domain Adaptation-based Unsupervised
  Flood Forecasting
A Simple Baseline for Adversarial Domain Adaptation-based Unsupervised Flood Forecasting
Delong Chen
Ruizhi Zhou
Ya‐Jun Pan
Fan Liu
AI4CE
27
0
0
16 Jun 2022
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation
  from Simulation to multiple Real-World Domains
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World Domains
Julian Gebele
Bonifaz Stuhr
Johann Haselberger
98
12
0
16 Jun 2022
Balancing Discriminability and Transferability for Source-Free Domain
  Adaptation
Balancing Discriminability and Transferability for Source-Free Domain Adaptation
Jogendra Nath Kundu
Akshay Ravindra Kulkarni
Suvaansh Bhambri
Deepesh Mehta
Shreyas Kulkarni
Varun Jampani
R. Venkatesh Babu
TTA
86
94
0
16 Jun 2022
Domain Generalization via Selective Consistency Regularization for Time
  Series Classification
Domain Generalization via Selective Consistency Regularization for Time Series Classification
Wenyu Zhang
Mohamed Ragab
Chuan-Sheng Foo
OODAI4TS
116
2
0
16 Jun 2022
Modeling the Data-Generating Process is Necessary for
  Out-of-Distribution Generalization
Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
Jivat Neet Kaur
Emre Kıcıman
Amit Sharma
UQCVOOD
80
27
0
15 Jun 2022
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization
  Dilemma in Out-of-Distribution Generalization
Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization
Yongqiang Chen
Kaiwen Zhou
Yatao Bian
Binghui Xie
Bing Wu
...
Kaili Ma
Han Yang
P. Zhao
Bo Han
James Cheng
OODOODD
82
37
0
15 Jun 2022
Improving Diversity with Adversarially Learned Transformations for
  Domain Generalization
Improving Diversity with Adversarially Learned Transformations for Domain Generalization
Tejas Gokhale
Rushil Anirudh
Jayaraman J. Thiagarajan
B. Kailkhura
Chitta Baral
Yezhou Yang
75
31
0
15 Jun 2022
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation
Joonho Jang
Byeonghu Na
DongHyeok Shin
Mingi Ji
Kyungwoo Song
Il-Chul Moon
80
40
0
15 Jun 2022
Learning towards Synchronous Network Memorizability and Generalizability
  for Continual Segmentation across Multiple Sites
Learning towards Synchronous Network Memorizability and Generalizability for Continual Segmentation across Multiple Sites
Jingyang Zhang
Peng Xue
Ran Gu
Yuning Gu
Mianxin Liu
Yongsheng Pan
Zhiming Cui
Jiawei Huang
Lei Ma
Dinggang Shen
CLL
82
8
0
14 Jun 2022
Exploring speaker enrolment for few-shot personalisation in emotional
  vocalisation prediction
Exploring speaker enrolment for few-shot personalisation in emotional vocalisation prediction
Andreas Triantafyllopoulos
Meishu Song
Zijiang Yang
Xin Jing
Björn W. Schuller
58
9
0
14 Jun 2022
Semantic-Discriminative Mixup for Generalizable Sensor-based
  Cross-domain Activity Recognition
Semantic-Discriminative Mixup for Generalizable Sensor-based Cross-domain Activity Recognition
Wang Lu
Jindong Wang
Yiqiang Chen
Sinno Jialin Pan
Chunyu Hu
Xin Qin
75
46
0
14 Jun 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Yilmazcan Ozyurt
Stefan Feuerriegel
Ce Zhang
AI4TS
105
47
0
13 Jun 2022
Learning Fashion Compatibility from In-the-wild Images
Learning Fashion Compatibility from In-the-wild Images
Additya Popli
Vijay Kumar
Sujit Jos
Saraansh Tandon
73
1
0
13 Jun 2022
INDIGO: Intrinsic Multimodality for Domain Generalization
INDIGO: Intrinsic Multimodality for Domain Generalization
Puneet Mangla
Shivam Chandhok
Milan Aggarwal
V. Balasubramanian
Balaji Krishnamurthy
VLM
80
2
0
13 Jun 2022
Deploying Convolutional Networks on Untrusted Platforms Using 2D
  Holographic Reduced Representations
Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
Mohammad Mahmudul Alam
Edward Raff
Tim Oates
James Holt
52
5
0
13 Jun 2022
A Semantic Consistency Feature Alignment Object Detection Model Based on
  Mixed-Class Distribution Metrics
A Semantic Consistency Feature Alignment Object Detection Model Based on Mixed-Class Distribution Metrics
Lijun Gou
Jinrong Yang
Hangchen Yu
Pan Wang
Xiaoping Li
Chao Deng
34
2
0
12 Jun 2022
Regularization Penalty Optimization for Addressing Data Quality Variance
  in OoD Algorithms
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms
Runpeng Yu
Hong Zhu
Kaican Li
Lanqing Hong
Rui Zhang
Nan Ye
Shao-Lun Huang
Xiuqiang He
65
6
0
12 Jun 2022
Causal Balancing for Domain Generalization
Causal Balancing for Domain Generalization
Xinyi Wang
Michael Stephen Saxon
Jiachen Li
Hongyang R. Zhang
Kun Zhang
William Yang Wang
OODCML
113
23
0
10 Jun 2022
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical
  Image Segmentation
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation
Mingxuan Gu
Sulaiman Vesal
Mareike Thies
Zhaoya Pan
Fabian Wagner
M. Rusu
Andreas Maier
Ronak Kosti
52
2
0
08 Jun 2022
Fair Classification via Domain Adaptation: A Dual Adversarial Learning
  Approach
Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach
Yueqing Liang
Canyu Chen
Tian Tian
Kai Shu
FaML
66
9
0
08 Jun 2022
OneRing: A Simple Method for Source-free Open-partial Domain Adaptation
OneRing: A Simple Method for Source-free Open-partial Domain Adaptation
Shiqi Yang
Yaxing Wang
Kai Wang
Shangling Jui
Joost van de Weijer
118
1
0
07 Jun 2022
Searching for Optimal Subword Tokenization in Cross-domain NER
Searching for Optimal Subword Tokenization in Cross-domain NER
Ruotian Ma
Yiding Tan
Xin Zhou
Xuanting Chen
Di Liang
Sirui Wang
Wei Wu
Tao Gui
Qi Zhang
OOD
105
14
0
07 Jun 2022
Self-Training of Handwritten Word Recognition for Synthetic-to-Real
  Adaptation
Self-Training of Handwritten Word Recognition for Synthetic-to-Real Adaptation
Fabian Wolf
G. Fink
90
5
0
07 Jun 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in
  Federated Learning
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning
Zhenheng Tang
Yonggang Zhang
Shaoshuai Shi
Xinfu He
Bo Han
Xiaowen Chu
FedML
129
76
0
06 Jun 2022
Relation Matters: Foreground-aware Graph-based Relational Reasoning for
  Domain Adaptive Object Detection
Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection
Chaoqi Chen
Jiongcheng Li
Hong-Yu Zhou
Xiaoguang Han
Yue Huang
Xinghao Ding
Yizhou Yu
71
43
0
06 Jun 2022
Vanilla Feature Distillation for Improving the Accuracy-Robustness
  Trade-Off in Adversarial Training
Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training
Guodong Cao
Peng Kuang
Xiaowei Dong
Zhifei Zhang
Hengchang Guo
Zhan Qin
Kui Ren
AAML
41
2
0
05 Jun 2022
Toward Learning Robust and Invariant Representations with Alignment
  Regularization and Data Augmentation
Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation
Haohan Wang
Zeyi Huang
Xindi Wu
Eric P. Xing
OOD
50
15
0
04 Jun 2022
Estimating counterfactual treatment outcomes over time in complex
  multiagent scenarios
Estimating counterfactual treatment outcomes over time in complex multiagent scenarios
Keisuke Fujii
Koh Takeuchi
Atsushi Kuribayashi
Naoya Takeishi
Yoshinobu Kawahara
K. Takeda
CML
82
15
0
04 Jun 2022
Recognition of Unseen Bird Species by Learning from Field Guides
Recognition of Unseen Bird Species by Learning from Field Guides
Andrés C. Rodríguez
Stefano Dáronco
Rodrigo Caye Daudt
Jan Dirk Wegner
Konrad Schindler
52
1
0
03 Jun 2022
SPD domain-specific batch normalization to crack interpretable
  unsupervised domain adaptation in EEG
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG
Reinmar J. Kobler
J. Hirayama
Qibin Zhao
M. Kawanabe
83
59
0
02 Jun 2022
Learning Unbiased Transferability for Domain Adaptation by Uncertainty
  Modeling
Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling
Jian Hu
Haowen Zhong
Junchi Yan
S. Gong
Guile Wu
Fei Yang
56
11
0
02 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Optimizing Relevance Maps of Vision Transformers Improves Robustness
Hila Chefer
Idan Schwartz
Lior Wolf
ViT
107
38
0
02 Jun 2022
Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax
  Optimization
Nest Your Adaptive Algorithm for Parameter-Agnostic Nonconvex Minimax Optimization
Junchi Yang
Xiang Li
Niao He
ODL
111
22
0
01 Jun 2022
IDANI: Inference-time Domain Adaptation via Neuron-level Interventions
IDANI: Inference-time Domain Adaptation via Neuron-level Interventions
Omer Antverg
Eyal Ben-David
Yonatan Belinkov
OODAI4CE
63
5
0
01 Jun 2022
Cross-domain Detection Transformer based on Spatial-aware and
  Semantic-aware Token Alignment
Cross-domain Detection Transformer based on Spatial-aware and Semantic-aware Token Alignment
Jinhong Deng
Xiaoyue Zhang
Wen Li
Lixin Duan
85
9
0
01 Jun 2022
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation
Sanghun Jung
Jungsoo Lee
Nanhee Kim
Amirreza Shaban
Byron Boots
Jaegul Choo
OODTTA
97
18
0
01 Jun 2022
What Knowledge Gets Distilled in Knowledge Distillation?
What Knowledge Gets Distilled in Knowledge Distillation?
Utkarsh Ojha
Yuheng Li
Anirudh Sundara Rajan
Yingyu Liang
Yong Jae Lee
FedML
83
21
0
31 May 2022
You Can't Count on Luck: Why Decision Transformers and RvS Fail in
  Stochastic Environments
You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments
Keiran Paster
Sheila A. McIlraith
Jimmy Ba
OffRL
264
28
0
31 May 2022
Hide and Seek: on the Stealthiness of Attacks against Deep Learning
  Systems
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems
Zeyan Liu
Fengjun Li
Jingqiang Lin
Zhu Li
Bo Luo
AAML
54
2
0
31 May 2022
Contrastive Centroid Supervision Alleviates Domain Shift in Medical
  Image Classification
Contrastive Centroid Supervision Alleviates Domain Shift in Medical Image Classification
Wenshuo Zhou
Dalu Yang
Binghong Wu
Yehui Yang
Junde Wu
Xiaorong Wang
Lei Wang
Haifeng Huang
Yanwu Xu
OOD
85
1
0
31 May 2022
Variational Transfer Learning using Cross-Domain Latent Modulation
Variational Transfer Learning using Cross-Domain Latent Modulation
Jinyong Hou
Jeremiah D. Deng
Stephen Cranefield
Xuejie Din
DRL
73
1
0
31 May 2022
PAC Generalization via Invariant Representations
PAC Generalization via Invariant Representations
Advait Parulekar
Karthikeyan Shanmugam
Sanjay Shakkottai
93
4
0
30 May 2022
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks
Modular and On-demand Bias Mitigation with Attribute-Removal Subnetworks
Lukas Hauzenberger
Shahed Masoudian
Deepak Kumar
Markus Schedl
Navid Rekabsaz
82
18
0
30 May 2022
Saliency Map Based Data Augmentation
Saliency Map Based Data Augmentation
Jalal Al-Afandi
B. Magyar
András Horváth
43
0
0
29 May 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
109
125
0
29 May 2022
The Missing Invariance Principle Found -- the Reciprocal Twin of
  Invariant Risk Minimization
The Missing Invariance Principle Found -- the Reciprocal Twin of Invariant Risk Minimization
Dongsung Huh
A. Baidya
OOD
65
8
0
29 May 2022
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of
  Black-Box Predictors
Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors
Jianfei Yang
Xiangyu Peng
Kaidi Wang
Zheng Hua Zhu
Jiashi Feng
Lihua Xie
Yang You
99
29
0
28 May 2022
Dynamic Domain Generalization
Dynamic Domain Generalization
Zhishu Sun
Zhifeng Shen
Luojun Lin
Yuanlong Yu
Zhifeng Yang
Shicai Yang
Weijie Chen
OOD
72
19
0
27 May 2022
CA-UDA: Class-Aware Unsupervised Domain Adaptation with Optimal
  Assignment and Pseudo-Label Refinement
CA-UDA: Class-Aware Unsupervised Domain Adaptation with Optimal Assignment and Pseudo-Label Refinement
Can Zhang
G. Lee
93
3
0
26 May 2022
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