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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
Out-of-Domain Robustness via Targeted Augmentations Irena Gao Shiori Sagawa Pang Wei Koh Tatsunori Hashimoto Percy Liang OODD OOD 75 23 0 23 Feb 2023
A Comprehensive Survey on Source-free Domain Adaptation Zhiqi Yu Jingjing Li Zhekai Du Lei Zhu Jikang Cheng TTA 136 110 0 23 Feb 2023
Modular Deep Learning Jonas Pfeiffer Sebastian Ruder Ivan Vulić Edoardo Ponti MoMe OOD 159 80 0 22 Feb 2023
Scalable Infomin Learning Yanzhi Chen Wei-Der Sun Yingzhen Li Adrian Weller 107 8 0 21 Feb 2023
Texturize a GAN Using a Single Image Pengda Xiang Sitao Xiang Yajie Zhao GAN 91 0 0 21 Feb 2023
Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors Keqin Bao Boyi Deng Dayiheng Liu Baosong Yang Wenqiang Lei Xiangnan He Derek F.Wong Jun Xie 99 4 0 17 Feb 2023
Cross-Domain Label Propagation for Domain Adaptation with Discriminative Graph Self-Learning Lei Tian Yongqiang Tang Liangchen Hu Wensheng Zhang OOD 63 1 0 17 Feb 2023
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification S. Yap Junn Yong Loo Chee-Ming Ting Fuad M. Noman Raphaël C.-W. Phan C. Ting David L. Dowe 72 2 0 14 Feb 2023
Regret-Based Defense in Adversarial Reinforcement Learning Roman Belaire Pradeep Varakantham Thanh Nguyen David Lo AAML 49 3 0 14 Feb 2023
Robust Representation Learning with Self-Distillation for Domain Generalization Ankur Singh Senthilnath Jayavelu ViT OOD 70 2 0 14 Feb 2023
In Search for a Generalizable Method for Source Free Domain Adaptation Malik Boudiaf Tom Denton B. V. Merrienboer Vincent Dumoulin Eleni Triantafillou TTA 89 19 0 13 Feb 2023
Transferable Deep Metric Learning for Clustering C. SimoAlami Rim Kaddah Jesse Read 52 0 0 13 Feb 2023
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment Alejandro Peña Ignacio Serna Aythami Morales Julian Fierrez Alfonso Ortega Ainhoa Herrarte Manuel Alcántara J. Ortega-Garcia FaML 100 38 0 13 Feb 2023
Semantic Image Segmentation: Two Decades of Research G. Csurka Riccardo Volpi Boris Chidlovskii 3DV 94 53 0 13 Feb 2023
AIDA: Legal Judgment Predictions for Non-Professional Fact Descriptions via Partial-and-Imbalanced Domain Adaptation Guangyi Xiao Xinlong Liu Hao Chen J. Guo Zhiguo Gong 92 0 0 12 Feb 2023
Project and Probe: Sample-Efficient Domain Adaptation by Interpolating Orthogonal Features Annie S. Chen Yoonho Lee Amrith Rajagopal Setlur Sergey Levine Chelsea Finn VLM 88 11 0 10 Feb 2023
Key Design Choices for Double-Transfer in Source-Free Unsupervised Domain Adaptation Andrea Maracani Raffaello Camoriano Elisa Maiettini Davide Talon Lorenzo Rosasco Lorenzo Natale 85 2 0 10 Feb 2023
TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation Hyesu Lim Byeonggeun Kim Jaegul Choo Sungha Choi TTA 83 92 0 10 Feb 2023
Cross-Corpora Spoken Language Identification with Domain Diversification and Generalization Spandan Dey Md. Sahidullah G. Saha 66 12 0 10 Feb 2023
A Benchmark on Uncertainty Quantification for Deep Learning Prognostics Luis Basora Arthur Viens M. A. Chao X. Olive UQCV BDL OOD 96 11 0 09 Feb 2023
Syntax and Domain Aware Model for Unsupervised Program Translation Fang Liu Jia Li Li Zhang 67 18 0 08 Feb 2023
Population-size-Aware Policy Optimization for Mean-Field Games Pengdeng Li Xinrun Wang Shuxin Li Hau Chan Bo An 62 2 0 07 Feb 2023
UDApter -- Efficient Domain Adaptation Using Adapters Bhavitvya Malik Abhinav Ramesh Kashyap MingSung Kan Soujanya Poria 88 16 0 07 Feb 2023
Domain Adaptation for Time Series Under Feature and Label Shifts Huan He Owen Queen Teddy Koker Consuelo Cuevas Theodoros Tsiligkaridis Marinka Zitnik AI4TS 112 72 0 06 Feb 2023
RLSbench: Domain Adaptation Under Relaxed Label Shift Saurabh Garg Nick Erickson James Sharpnack Alexander J. Smola Sivaraman Balakrishnan Zachary Chase Lipton VLM 106 33 0 06 Feb 2023
Erasure of Unaligned Attributes from Neural Representations Shun Shao Yftah Ziser Shay B. Cohen 58 9 0 06 Feb 2023
Improving Domain Generalization with Domain Relations Huaxiu Yao Xinyu Yang Xinyi Pan Shengchao Liu Pang Wei Koh Chelsea Finn OOD AI4CE 110 10 0 06 Feb 2023
Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation Zihao Xu Guang-Yuan Hao Hao He Hao Wang 140 19 0 06 Feb 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation Yu Zhang Zhenyu Zhang Peng Zhao Masashi Sugiyama OOD 85 13 0 06 Feb 2023
PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition Ming Jin Enwei Zhu Changde Du Huiguang He Jinpeng Li 66 26 0 06 Feb 2023
Aggregation of Disentanglement: Reconsidering Domain Variations in Domain Generalization Daoan Zhang Mingkai Chen Chenming Li Lingyun Huang Jianguo Zhang OOD 96 10 0 05 Feb 2023
Semi-Supervised Domain Adaptation with Source Label Adaptation Yuhai Yu Hsuan-Tien Lin 91 24 0 05 Feb 2023
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion Yi-An Lai Elman Mansimov Yuqing Xie Yan Zhang 63 4 0 04 Feb 2023
Domain Adaptation via Rebalanced Sub-domain Alignment Yi-Ling Liu Juncheng Dong Ziyang Jiang Ahmed Aloui Keyu Li Hunter Klein Vahid Tarokh David Carlson 63 2 0 03 Feb 2023
DeepAstroUDA: Semi-Supervised Universal Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection A. Ćiprijanović Ashia Lewis K. Pedro Sandeep Madireddy Brian D. Nord G. Perdue Stefan M. Wild 104 16 0 03 Feb 2023
Interpretations of Domain Adaptations via Layer Variational Analysis Huan-Hsin Tseng Hsin-Yi Lin Kuo-Hsuan Hung Yu Tsao FAtt 69 4 0 03 Feb 2023
Crucial Semantic Classifier-based Adversarial Learning for Unsupervised Domain Adaptation Yumin Zhang Yajun Gao Hongliu Li Ating Yin Duzhen Zhang Xiuyi Chen 76 0 0 03 Feb 2023
Domain Adaptation via Alignment of Operation Profile for Remaining Useful Lifetime Prediction Ismail Nejjar Fabian Geissmann Mengjie Zhao C. Taal Olga Fink AI4CE 50 29 0 03 Feb 2023
Style Feature Extraction Using Contrastive Conditioned Variational Autoencoders with Mutual Information Constraints S. Yasutomi Toshihisa Tanaka SSL DRL 40 0 0 03 Feb 2023
Gradient Estimation for Unseen Domain Risk Minimization with Pre-Trained Models Byunggyu Lew Donghyun Son Buru Chang 70 7 0 03 Feb 2023
Multi-scale Feature Alignment for Continual Learning of Unlabeled Domains Kevin Thandiackal Luigi Piccinelli Pushpak Pati O. Goksel CLL OOD MedIm 79 7 0 02 Feb 2023
Open-Set Multi-Source Multi-Target Domain Adaptation Rohit Lal Arihant Gaur Aadhithya Iyer Muhammed Abdullah Shaikh Ritik Agrawal 53 1 0 02 Feb 2023
Domain Generalization Emerges from Dreaming Hwan Heo Youngjin Oh Jaewon Lee Hyunwoo J. Kim 68 2 0 02 Feb 2023
Clinical Decision Transformer: Intended Treatment Recommendation through Goal Prompting Seunghyun Lee D. Lee Sujeong Im N. Kim Sung-Min Park 73 12 0 01 Feb 2023
Zero-shot Transfer of Article-aware Legal Outcome Classification for European Court of Human Rights Cases Santosh T.Y.S.S O. Ichim Matthias Grabmair AILaw 138 17 0 01 Feb 2023
Free Lunch for Domain Adversarial Training: Environment Label Smoothing Yifan Zhang Xue Wang Jian Liang Zhang Zhang Liangsheng Wang Rong Jin Tien-Ping Tan 143 43 0 01 Feb 2023
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets Hussein Hazimeh Natalia Ponomareva GAN 59 2 0 31 Jan 2023
Learning Data Representations with Joint Diffusion Models Kamil Deja Tomasz Trzciñski Jakub M. Tomczak DiffM 83 15 0 31 Jan 2023
Contrast and Clustering: Learning Neighborhood Pair Representation for Source-free Domain Adaptation Yuqi Chen Xiangbin Zhu Yonggang Li Yingjian Li H. Fang SSL 102 3 0 31 Jan 2023
When Source-Free Domain Adaptation Meets Learning with Noisy Labels L. Yi Gezheng Xu Pengcheng Xu Jiaqi Li Ruizhi Pu Charles Ling A. McLeod Boyu Wang 102 41 0 31 Jan 2023