Domain-Adversarial Training of Neural Networks

28 May 2015

Papers citing "Domain-Adversarial Training of Neural Networks"

50 / 3,494 papers shown

Title
Knowledge Distillation and Enhanced Subdomain Adaptation Using Graph Convolutional Network for Resource-Constrained Bearing Fault Diagnosis Mohammadreza Kavianpour Parisa Kavianpour Amin Ramezani Mohammad T. H. Beheshti 34 0 0 13 Jan 2025
Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification Shrihan Agarwal A. Ćiprijanović Brian D. Nord OOD 40 0 0 08 Jan 2025
Source-free Semantic Regularization Learning for Semi-supervised Domain Adaptation Xinyang Huang Chuang Zhu Ruiying Ren Shengjie Liu Tiejun Huang 28 0 0 03 Jan 2025
Domain-invariant feature learning in brain MR imaging for content-based image retrieval Shuya Tobari Shuhei Tomoshige Hayato Muraki K. Oishi Hitoshi Iyatomi MedIm OOD 30 0 0 03 Jan 2025
Audiopedia: Audio QA with Knowledge Abhirama Subramanyam Penamakuri Kiran Chhatre Akshat Jain KELM AuLLM RALM 53 0 0 31 Dec 2024
Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing Hao Fei Shengqiong Wu H. Zhang Tat-Seng Chua Shuicheng Yan 64 37 0 31 Dec 2024
CASUAL: Conditional Support Alignment for Domain Adaptation with Label Shift A. Nguyen Lam C. Tran Anh Tong Tuan-Duy H. Nguyen Toan M. Tran 40 1 0 31 Dec 2024
CrossSpeech++: Cross-lingual Speech Synthesis with Decoupled Language and Speaker Generation Ji-Hoon Kim Hong-Sun Yang Yoon-Cheol Ju Il-Hwan Kim Byeong-Yeol Kim Joon Son Chung BDL 47 0 0 31 Dec 2024
Contrastive Conditional Alignment based on Label Shift Calibration for Imbalanced Domain Adaptation Xiaona Sun Zhenyu Wu Zhiqiang Zhan Yang Ji 41 1 0 31 Dec 2024
Empirical likelihood for Fréchet means on open books Karthik Bharath Huiling Le A. Wood Xi Yan 108 0 0 25 Dec 2024
CrackUDA: Incremental Unsupervised Domain Adaptation for Improved Crack Segmentation in Civil Structures Kushagra Srivastava Damodar Datta Kancharla Rizvi Tahereen P. Ramancharla Ravi Kiran Sarvadevabhatla Harikumar Kandath 70 0 0 20 Dec 2024
Multi-Source Unsupervised Domain Adaptation with Prototype Aggregation Min Huang Zifeng Xie Bo Sun Ning Wang 76 0 0 20 Dec 2024
Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning Di Xiong Shuoyuan Wang Lei Zhang Wenbo Huang Chaolei Han 66 0 0 18 Dec 2024
Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes Aodi Li Liansheng Zhuang Xiao Long Minghong Yao Shafei Wang 175 0 0 18 Dec 2024
Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence Yichen Li Yuying Wang Tianzhe Xiao Haozhao Wang Yining Qi Ruixuan Li 119 1 0 18 Dec 2024
Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and Algorithm Thai-Hoang Pham Yuanlong Wang Changchang Yin Xueru Zhang Ping Zhang 68 0 0 17 Dec 2024
CLDA-YOLO: Visual Contrastive Learning Based Domain Adaptive YOLO Detector Tianheng Qiu Ka Lung Law Guanghua Pan Jufei Wang Xin Gao Xuan Huang Hu Wei 75 0 0 16 Dec 2024
Meta Curvature-Aware Minimization for Domain Generalization Z. Chen Yiwen Ye Feilong Tang Yongsheng Pan Yong-quan Xia BDL 179 1 0 16 Dec 2024
RoLargeSum: A Large Dialect-Aware Romanian News Dataset for Summary, Headline, and Keyword Generation Andrei-Marius Avram Mircea Timpuriu Andreea Iuga Vlad-Cristian Matei Iulian-Marius Taiatu Tudor Găină Dumitru-Clementin Cercel Florin-Catalin Pop Mihaela-Claudia Cercel 85 1 0 15 Dec 2024
Learning Latent Spaces for Domain Generalization in Time Series Forecasting Songgaojun Deng Maarten de Rijke CML AI4TS OOD BDL 66 0 0 15 Dec 2024
TTVD: Towards a Geometric Framework for Test-Time Adaptation Based on Voronoi Diagram Mingxi Lei Chunwei Ma Meng Ding Yufan Zhou Ziyun Huang Jinhui Xu 81 0 0 10 Dec 2024
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning Miles Hutson Isaac Kauvar Nick Haber 64 0 0 08 Dec 2024
Estimating the treatment effect over time under general interference through deep learner integrated TMLE Suhan Guo F. Shen Ni Li CML 68 0 0 06 Dec 2024
Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation Jie Bao Zhixin Zhou Wen Jung Li Rui Luo MedIm 59 0 0 05 Dec 2024
GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing Khawar Islam M. Zaheer Arif Mahmood Karthik Nandakumar Naveed Akhtar DiffM 80 2 0 03 Dec 2024
Scalable Out-of-distribution Robustness in the Presence of Unobserved Confounders Parjanya Prashant Seyedeh Baharan Khatami Bruno Ribeiro Babak Salimi 72 0 0 29 Nov 2024
Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability Siddhartha Bhattacharya Aarham Wasit Mason Earles Nitin Nitin Luyao Ma Jiyoon Yi AAML 61 0 0 29 Nov 2024
An Ensemble Approach for Brain Tumor Segmentation and Synthesis Juampablo Heras Rivera Agamdeep Chopra Tianyi Ren Hitender Oswal Yutong Pan ... Akshay Jaikanth Pavan Kancharla Jacob Ruzevick Daniela Ushizima Mehmet Kurt 69 1 0 26 Nov 2024
PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement Tewodros Ayalew Xiao Zhang Kevin Yuanbo Wu Tianchong Jiang Michael Maire Matthew R. Walter OffRL 67 1 0 26 Nov 2024
DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition Julian Strohmayer Rafael Sterzinger Matthias Wödlinger Martin Kampel TTA 87 0 0 20 Nov 2024
AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptation Houcheng Su Mengzhu Wang Jiao Li Nan Yin Liang Yang Li Shen 67 0 0 20 Nov 2024
Probe-Me-Not: Protecting Pre-trained Encoders from Malicious Probing Ruyi Ding Tong Zhou Lili Su A. A. Ding Xiaolin Xu Yunsi Fei AAML 64 1 0 19 Nov 2024
Invariant Shape Representation Learning For Image Classification Tonmoy Hossain Jing Ma Jundong Li Miaomiao Zhang 68 2 0 19 Nov 2024
Generalizable Person Re-identification via Balancing Alignment and Uniformity Y. Cho JaeYoon Kim Woo Jae Kim Junsik Jung Sung-eui Yoon CVBM OOD 80 0 0 18 Nov 2024
MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious Correlations Qixuan Jin Walter Gerych Marzyeh Ghassemi DiffM MedIm 26 0 0 16 Nov 2024
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data Kai Helli David Schnurr Noah Hollmann Samuel G. Müller Frank Hutter OOD 36 4 0 15 Nov 2024
Learning from Different Samples: A Source-free Framework for Semi-supervised Domain Adaptation Xinyang Huang Chuang Zhu Bowen Zhang Shanghang Zhang 26 1 0 11 Nov 2024
Understanding the Role of Equivariance in Self-supervised Learning Yifei Wang Kaiwen Hu Sharut Gupta Ziyu Ye Yisen Wang Stefanie Jegelka SSL 42 2 0 10 Nov 2024
Personalize to generalize: Towards a universal medical multi-modality generalization through personalization Zhaorui Tan Xi Yang Tan Pan Tianyi Liu Chen Jiang ... Qiufeng Wang Anh Nguyen Yuan Qi K. Huang Yuan-Chia Cheng AI4CE LM&MA 34 0 0 09 Nov 2024
Cross-Domain Transfer Learning using Attention Latent Features for Multi-Agent Trajectory Prediction Jia Quan Loh Xuewen Luo Fan Ding Hwa Hui Tew Junn Yong Loo Z. Y. Ding Susilawati Susilawati Chee Pin Tan 18 1 0 09 Nov 2024
Dynamic-Attention-based EEG State Transition Modeling for Emotion Recognition Xinke Shen Runmin Gan Kaixuan Wang S. M. I. Simon X. Yang Qingzhu Zhang Quanying Liu Dan Zhang Sen Song 26 0 0 07 Nov 2024
Enhancing Bronchoscopy Depth Estimation through Synthetic-to-Real Domain Adaptation Qingyao Tian Huai Liao Xinyan Huang Lujie Li Hongbin Liu MDE 29 0 0 07 Nov 2024
Overcoming label shift in targeted federated learning Edvin Listo Zec Adam Breitholtz Fredrik D. Johansson FedML 37 0 0 06 Nov 2024
Data Quality Awareness: A Journey from Traditional Data Management to Data Science Systems Sijie Dong Soror Sahri Themis Palpanas 26 0 0 05 Nov 2024
EmoSphere++: Emotion-Controllable Zero-Shot Text-to-Speech via Emotion-Adaptive Spherical Vector Deok-Hyeon Cho Hyung-Seok Oh Seung-Bin Kim Seong-Whan Lee 39 3 0 04 Nov 2024
ROAD-Waymo: Action Awareness at Scale for Autonomous Driving Salman Khan Izzeddin Teeti Reza Javanmard Alitappeh Mihaela C. Stoian Eleonora Giunchiglia Gurkirt Singh Andrew Bradley Fabio Cuzzolin 40 0 0 03 Nov 2024
MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning Haoliang Wang Chen Zhao Feng Chen 31 3 0 02 Nov 2024
From Web Data to Real Fields: Low-Cost Unsupervised Domain Adaptation for Agricultural Robots Vasileios Tzouras Lazaros Nalpantidis Ronja Güldenring 34 0 0 31 Oct 2024
Progression: an extrapolation principle for regression Gloria Buriticá Sebastian Engelke 40 0 0 30 Oct 2024
Learning Identifiable Factorized Causal Representations of Cellular Responses Haiyi Mao Romain Lopez Kai Liu Jan-Christian Huetter David Richmond Panayiotis Benos Lin Qiu CML 27 3 0 29 Oct 2024