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Domain-Adversarial Training of Neural Networks

28 May 2015

Papers citing "Domain-Adversarial Training of Neural Networks"

50 / 3,643 papers shown

Title
Fairness and Robustness in Invariant Learning: A Case Study in Toxicity Classification Robert Adragna Elliot Creager David Madras R. Zemel OOD FaML 80 43 0 12 Nov 2020
Zero-Pair Image to Image Translation using Domain Conditional Normalization Samarth Shukla Andrés Romero Luc Van Gool Radu Timofte VLM 8 0 0 11 Nov 2020
MMD-Regularized Unbalanced Optimal Transport Piyushi Manupriya SakethaNath Jagarlapudi Pratik Jawanpuria OT 73 5 0 10 Nov 2020
Speaker De-identification System using Autoencoders and Adversarial Training Fernando M. Espinoza-Cuadros Juan M. Perero-Codosero Javier Antón-Martín L. A. H. Gómez AAML 43 14 0 09 Nov 2020
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles Christopher Clark Mark Yatskar Luke Zettlemoyer 77 62 0 07 Nov 2020
Interventional Domain Adaptation Jun Wen Changjian Shui Kun Kuang Junsong Yuan Zenan Huang Zhefeng Gong Nenggan Zheng OOD 42 1 0 07 Nov 2020
Domain adaptation techniques for improved cross-domain study of galaxy mergers A. Ćiprijanović Diana Kafkes S. Jenkins K. Downey G. Perdue Sandeep Madireddy T. Johnston Brian D. Nord OOD 34 10 0 06 Nov 2020
Domain Adaptive Person Re-Identification via Coupling Optimization Xiaobing Liu Shiliang Zhang 74 39 0 06 Nov 2020
Universal Multi-Source Domain Adaptation Yueming Yin Zhen Yang Haifeng Hu Xiaofu Wu 49 1 0 05 Nov 2020
Against Adversarial Learning: Naturally Distinguish Known and Unknown in Open Set Domain Adaptation Sitong Mao Xiao Shen K. F. Chung 18 0 0 04 Nov 2020
Mixed Set Domain Adaptation Sitong Mao Keli Zhang K. F. Chung 19 0 0 04 Nov 2020
Latent Causal Invariant Model Xinwei Sun Botong Wu Xiangyu Zheng Chang-Shu Liu Wei Chen Tao Qin Tie-Yan Liu OOD CML BDL 93 14 0 04 Nov 2020
Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang-Shu Liu Xinwei Sun Jindong Wang Haoyue Tang Tao Li Tao Qin Wei Chen Tie-Yan Liu CML OODD OOD 147 106 0 03 Nov 2020
Learning on Attribute-Missing Graphs Xu Chen Siheng Chen Jiangchao Yao Huangjie Zheng Ya Zhang Ivor W Tsang 93 94 0 03 Nov 2020
Event-Related Bias Removal for Real-time Disaster Events Evangelia Spiliopoulou Salvador Medina Eduard H. Hovy Alexander G. Hauptmann 16 11 0 02 Nov 2020
Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain Validation Keyu Chen Di Zhuang Jerome Chang OOD 51 48 0 01 Nov 2020
Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging Qingjie Meng Jacqueline Matthew V. Zimmer Alberto Gómez D. Lloyd Daniel Rueckert Bernhard Kainz OOD 61 36 0 30 Oct 2020
Cross-Domain Sentiment Classification with Contrastive Learning and Mutual Information Maximization Tian Li Xiang Chen Shanghang Zhang Zhen Dong Kurt Keutzer 130 36 0 30 Oct 2020
Understanding the Failure Modes of Out-of-Distribution Generalization Vaishnavh Nagarajan Anders Andreassen Behnam Neyshabur OOD OODD 83 178 0 29 Oct 2020
Domain adaptation under structural causal models Yuansi Chen Peter Buhlmann CML OOD AI4CE 132 40 0 29 Oct 2020
Collaborative Method for Incremental Learning on Classification and Generation Byungju Kim Jaeyoung Lee Kyungsu Kim Sungjin Kim Junmo Kim CLL 24 1 0 29 Oct 2020
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions Kartik Ahuja Karthikeyan Shanmugam Amit Dhurandhar 57 9 0 28 Oct 2020
Evaluating Model Robustness and Stability to Dataset Shift Adarsh Subbaswamy R. Adams Suchi Saria OOD 67 9 0 28 Oct 2020
PPG-based singing voice conversion with adversarial representation learning Zhonghao Li Benlai Tang Xiang Yin Yuan Wan Linjia Xu Chen Shen Zejun Ma 59 37 0 28 Oct 2020
Byzantine Resilient Distributed Multi-Task Learning Jiani Li W. Abbas X. Koutsoukos 41 8 0 25 Oct 2020
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning Xisen Jin Francesco Barbieri Brendan Kennedy Aida Mostafazadeh Davani Leonardo Neves Xiang Ren 90 5 0 24 Oct 2020
Deep Learning for Radio-based Human Sensing: Recent Advances and Future Directions Isura Nirmal Abdelwahed Khamis Mahbub Hassan Wen Hu Xiaoqing Zhu 82 69 0 23 Oct 2020
Casting a BAIT for Offline and Online Source-free Domain Adaptation Shiqi Yang Yaxing Wang Joost van de Weijer Luis Herranz Shangling Jui TTA 159 52 0 23 Oct 2020
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations Lukas Lange Heike Adel Jannik Strötgen Dietrich Klakow 40 7 0 23 Oct 2020
Domain Adaptation in LiDAR Semantic Segmentation by Aligning Class Distributions Inigo Alonso L. Riazuelo Luis Montesano Ana C. Murillo 3DPC OOD 134 29 0 23 Oct 2020
Domain Divergences: a Survey and Empirical Analysis Abhinav Ramesh Kashyap Devamanyu Hazarika Min-Yen Kan Roger Zimmermann 259 40 0 23 Oct 2020
Beyond the Deep Metric Learning: Enhance the Cross-Modal Matching with Adversarial Discriminative Domain Regularization Li Ren Keqin Li Liqiang Wang K. Hua 34 4 0 23 Oct 2020
Knowledge Distillation for BERT Unsupervised Domain Adaptation Minho Ryu K. Lee 105 35 0 22 Oct 2020
Learning Disentangled Phone and Speaker Representations in a Semi-Supervised VQ-VAE Paradigm Jennifer Williams Yi Zhao Erica Cooper Junichi Yamagishi SSL 75 23 0 21 Oct 2020
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning Ci-Siang Lin Yuan Cheng Y. Wang OOD 53 14 0 19 Oct 2020
Model-based Policy Optimization with Unsupervised Model Adaptation Jian Shen Han Zhao Weinan Zhang Yong Yu 112 28 0 19 Oct 2020
Continual Unsupervised Domain Adaptation for Semantic Segmentation Joonhyuk Kim Sahng-Min Yoo Gyeong-Moon Park Jong-hwan Kim CLL 72 4 0 19 Oct 2020
Unsupervised Domain Adaptation for Spatio-Temporal Action Localization Nakul Agarwal Yi-Ting Chen Behzad Dariush Ming-Hsuan Yang 76 8 0 19 Oct 2020
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction Shuxi Zeng Murat Ali Bayir Joel Pfeiffer Denis Xavier Charles Emre Kıcıman TTA 41 18 0 17 Oct 2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings Viraj Prabhu Arjun Chandrasekaran Kate Saenko Judy Hoffman OOD 148 128 0 16 Oct 2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness Long Zhao Ting Liu Xi Peng Dimitris N. Metaxas OOD AAML 120 170 0 15 Oct 2020
Improved Multi-Source Domain Adaptation by Preservation of Factors Sebastian Schrom Stephan Hasler J. Adamy OOD 49 7 0 15 Oct 2020
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains Weijie Yu Chenxi Xu Jun Xu Liang Pang Xiaopeng Gao Xiaozhao Wang Ji-Rong Wen OOD 86 11 0 15 Oct 2020
Respecting Domain Relations: Hypothesis Invariance for Domain Generalization Ziqi Wang Marco Loog Jan van Gemert OOD 76 51 0 15 Oct 2020
Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning Zijie Wang Lixi Zhou A. Das Valay Dave Zhanpeng Jin Jia Zou 90 3 0 15 Oct 2020
Self-Supervised Domain Adaptation with Consistency Training Liang Xiao J. Xu D. Zhao Z. Wang L. Wang Y. Nie B. Dai 57 15 0 15 Oct 2020
Environment Inference for Invariant Learning Elliot Creager J. Jacobsen R. Zemel OOD 70 384 0 14 Oct 2020
Domain Shift in Computer Vision models for MRI data analysis: An Overview E. Kondrateva Marina Pominova E. Popova M. Sharaev A. Bernstein Evgeny Burnaev OOD 46 38 0 14 Oct 2020
The Risks of Invariant Risk Minimization Elan Rosenfeld Pradeep Ravikumar Andrej Risteski OOD 98 312 0 12 Oct 2020
Unseen Target Stance Detection with Adversarial Domain Generalization Zhen Wang Qiansheng Wang Chengguo Lv Xue Cao Guohong Fu OOD 62 25 0 12 Oct 2020