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Domain-Adversarial Training of Neural Networks

28 May 2015

Papers citing "Domain-Adversarial Training of Neural Networks"

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Title
Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action Recognition Yansong Tang Xingyu Liu Xumin Yu Danyang Zhang Jiwen Lu Jie Zhou 109 21 0 17 Jul 2022
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations Wentao Chen Zheng Zhang Wei Wang Liang Wang Zilei Wang Tieniu Tan 69 10 0 16 Jul 2022
Towards Better Dermoscopic Image Feature Representation Learning for Melanoma Classification Chen-Ping Yu Mingkang Tang Sheng Yang Mingqing Wang Zhe Xu Jiangpeng Yan Hanmo Chen Yu Yang X. Zeng Xiu Li MedIm 31 3 0 15 Jul 2022
Breaking Correlation Shift via Conditional Invariant Regularizer Mingyang Yi Ruoyu Wang Jiacheng Sun Zhenguo Li Zhi-Ming Ma OODD 100 5 0 14 Jul 2022
Gradual Domain Adaptation without Indexed Intermediate Domains Hong-You Chen Wei-Lun Chao CLL 122 40 0 11 Jul 2022
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation Quanyu Long Tianze Luo Wenya Wang Sinno Jialin Pan 108 8 0 10 Jul 2022
Towards Adaptive Unknown Authentication for Universal Domain Adaptation by Classifier Paradox Yunyun Wang Yaojie Liu Songcan Chen 55 1 0 10 Jul 2022
Dual-Correction Adaptation Network for Noisy Knowledge Transfer Yunyun Wang Weiwen Zheng Songcan Chen 42 3 0 10 Jul 2022
Domain Adaptation Under Behavioral and Temporal Shifts for Natural Time Series Mobile Activity Recognition Garrett Wilson J. Doppa D. Cook 94 6 0 10 Jul 2022
Pseudo-Pair based Self-Similarity Learning for Unsupervised Person Re-identification Lin Wu Deyin Liu Wenying Zhang Dapeng Chen Zongyuan Ge F. Boussaïd Bennamoun Jialie Shen 95 48 0 09 Jul 2022
Domain Alignment Meets Fully Test-Time Adaptation Kowshik Thopalli Pavan Turaga Jayaraman J. Thiagarajan OOD TTA 52 4 0 09 Jul 2022
Back to the Source: Diffusion-Driven Test-Time Adaptation Jin Gao Jialing Zhang Xihui Liu Trevor Darrell Evan Shelhamer Dequan Wang TTA 123 55 0 07 Jul 2022
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style Zhuo Huang Xiaobo Xia Li Shen Bo Han Biwei Huang Chen Gong Tongliang Liu OODD 79 47 0 07 Jul 2022
Masked Surfel Prediction for Self-Supervised Point Cloud Learning Yabin Zhang Jiehong Lin Chenhang He Yuxiao Chen Kui Jia Lei Zhang 3DPC 81 22 0 07 Jul 2022
A State Transition Model for Mobile Notifications via Survival Analysis Yiping Yuan Jing Zhang S. Chatterjee Shipeng Yu Rómer Rosales 68 12 0 07 Jul 2022
Adaptation of Surgical Activity Recognition Models Across Operating Rooms A. Mottaghi Aidean Sharghi Serena Yeung Omid Mohareri 114 8 0 07 Jul 2022
Predicting is not Understanding: Recognizing and Addressing Underspecification in Machine Learning Damien Teney Maxime Peyrard Ehsan Abbasnejad 115 29 0 06 Jul 2022
Cooperative Distribution Alignment via JSD Upper Bound Wonwoong Cho Ziyu Gong David I. Inouye 28 4 0 05 Jul 2022
A Unified Meta-Learning Framework for Dynamic Transfer Learning Jun Wu Jingrui He CLL 91 7 0 05 Jul 2022
Adversarial Pairwise Reverse Attention for Camera Performance Imbalance in Person Re-identification: New Dataset and Metrics Eugene P. W. Ang Shan Lin R. Ahuja Nemath Ahmed Alex C. Kot 54 1 0 04 Jul 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 89 11 0 04 Jul 2022
ORA3D: Overlap Region Aware Multi-view 3D Object Detection Wonseok Roh Gyusam Chang Seokha Moon Giljoo Nam Chanyoung Kim Younghyun Kim Jinkyu Kim Sangpil Kim 3DPC 116 12 0 02 Jul 2022
Verification and search algorithms for causal DAGs Davin Choo Kirankumar Shiragur Arnab Bhattacharyya CML 55 12 0 30 Jun 2022
iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for Speech Synthesis based on Disentanglement between Prosody and Timbre Guangyan Zhang Ying Qin Weinan Zhang Jialun Wu Mei Li Yu Gai Feijun Jiang Tan Lee 108 27 0 29 Jun 2022
Intrinsic Anomaly Detection for Multi-Variate Time Series Stephan Rabanser Tim Januschowski Kashif Rasul Oliver Borchert Richard Kurle Jan Gasthaus Michael Bohlke-Schneider Nicolas Papernot Valentin Flunkert AI4TS 69 4 0 29 Jun 2022
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation Yanwu Xu Shaoan Xie Maxwell Reynolds1 Matthew Ragoza1 Biwei Huang Kayhan Batmanghelich GAN OOD MedIm 34 23 0 28 Jun 2022
Unsupervised Domain Adaptation Using Feature Disentanglement And GCNs For Medical Image Classification Dwarikanath Mahapatra OOD 66 14 0 27 Jun 2022
Self-Healing Robust Neural Networks via Closed-Loop Control Zhuotong Chen Qianxiao Li Zheng Zhang AAML OOD 37 11 0 26 Jun 2022
Memory-Guided Multi-View Multi-Domain Fake News Detection Yongchun Zhu Qiang Sheng Juan Cao Qiong Nan Kai Shu Ming-hui Wu Jindong Wang Fuzhen Zhuang 79 80 0 26 Jun 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization Bang An Zora Che Mucong Ding Furong Huang 89 31 0 26 Jun 2022
Gated Domain Units for Multi-source Domain Generalization Simon Foll Alina Dubatovka Eugen Ernst Siu Lun Chau Martin Maritsch Patrik Okanovic Gudrun Thater J. M. Buhmann Felix Wortmann Krikamol Muandet OOD 140 4 0 24 Jun 2022
QAGAN: Adversarial Approach To Learning Domain Invariant Language Features Shubham Shrivastava Kaiyue Wang OOD 75 2 0 24 Jun 2022
On Certifying and Improving Generalization to Unseen Domains Akshay Mehra B. Kailkhura Pin-Yu Chen Jihun Hamm OOD 99 4 0 24 Jun 2022
On making optimal transport robust to all outliers Kilian Fatras OT 60 0 0 23 Jun 2022
Invariant Causal Mechanisms through Distribution Matching Mathieu Chevalley Charlotte Bunne Andreas Krause Stefan Bauer OOD CML 66 42 0 23 Jun 2022
Optimal transport meets noisy label robust loss and MixUp regularization for domain adaptation Kilian Fatras Hiroki Naganuma Ioannis Mitliagkas OOD 49 6 0 22 Jun 2022
Classification Utility, Fairness, and Compactness via Tunable Information Bottleneck and Rényi Measures A. Gronowski William Paul F. Alajaji Bahman Gharesifard Philippe Burlina FaML 95 3 0 20 Jun 2022
Mitigating Data Heterogeneity in Federated Learning with Data Augmentation George Giapitzakis Guojun Zhang Xi Chen Yaoliang Yu FedML 109 31 0 20 Jun 2022
Boosting Cross-Domain Speech Recognition with Self-Supervision Hanjing Zhu Gaofeng Cheng Jindong Wang Wenxin Hou Pengyuan Zhang Yonghong Yan 100 16 0 20 Jun 2022
Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data Tian Li Xiang Chen Zhen Dong Weijiang Yu Yijun Yan Kurt Keutzer Shanghang Zhang 31 9 0 20 Jun 2022
Scalable Neural Data Server: A Data Recommender for Transfer Learning Tianshi Cao Sasha Doubov David Acuna Sanja Fidler 106 6 0 19 Jun 2022
Supervision Adaptation Balancing In-distribution Generalization and Out-of-distribution Detection Zhilin Zhao LongBing Cao Kun-Yu Lin 77 6 0 19 Jun 2022
NASTAR: Noise Adaptive Speech Enhancement with Target-Conditional Resampling Chi-Chang Lee Cheng-Hung Hu Yu-Chen Lin Chu-Song Chen Hsin-Min Wang Yu Tsao 83 2 0 18 Jun 2022
How Robust is Unsupervised Representation Learning to Distribution Shift? Yuge Shi Imant Daunhawer Julia E. Vogt Philip Torr Amartya Sanyal OOD 109 28 0 17 Jun 2022
A Survey on Computational Intelligence-based Transfer Learning Mohamad Zamini Eunjin Kim 39 2 0 17 Jun 2022
The Importance of Background Information for Out of Distribution Generalization Jupinder Parmar Khaled Kamal Saab Brian Pogatchnik D. Rubin Christopher Ré OOD 42 0 0 17 Jun 2022
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization Y. Carmon A. Jambulapati Yujia Jin Aaron Sidford 127 12 0 17 Jun 2022
GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui Xiner Li Limei Wang Shuiwang Ji OOD 87 123 0 16 Jun 2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation Tao Sun Mattia Segu Janis Postels Yuxuan Wang Luc Van Gool Bernt Schiele F. Tombari Feng Yu TTA 127 161 0 16 Jun 2022
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations Nabeel Seedat F. Imrie Alexis Bellot Zhaozhi Qian M. Schaar OOD CML 57 52 0 16 Jun 2022