Deep Hashing Network for Unsupervised Domain Adaptation

22 June 2017

Papers citing "Deep Hashing Network for Unsupervised Domain Adaptation"

50 / 472 papers shown

Title
Enhancing Domain Adaptation through Prompt Gradient Alignment Hoang Phan Lam C. Tran Quyen Tran Trung Le 52 0 0 13 Jun 2024
Causality-inspired Latent Feature Augmentation for Single Domain Generalization Jian Xu Chaojie Ji Yankai Cao Ye Li Ruxin Wang OOD 40 0 0 10 Jun 2024
Proxy Denoising for Source-Free Domain Adaptation Song Tang Wenxin Su Mao Ye Jianwei Zhang Xiatian Zhu Xiatian Zhu 70 1 0 03 Jun 2024
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation Jiachen Liang Ruibing Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 46 4 0 31 May 2024
Domain Adaptation with Cauchy-Schwarz Divergence Wenzhe Yin Shujian Yu Yicong Lin Jie Li Jan-Jakob Sonke E. Gavves 43 3 0 30 May 2024
Incremental Pseudo-Labeling for Black-Box Unsupervised Domain Adaptation Yawen Zou Chunzhi Gu Junzhou Yu Shangce Gao Chao Zhang 67 1 0 26 May 2024
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients Farhad Pourpanah Mahdiyar Molahasani Milad Soltany Michael A. Greenspan Ali Etemad FedML OOD 212 2 0 25 May 2024
Learning Invariant Causal Mechanism from Vision-Language Models Changwen Zheng Siyu Zhao Xingyu Zhang Jiangmeng Li Changwen Zheng Jingyao Wang CML BDL VLM 52 0 0 24 May 2024
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models Yongxin Guo Zhenglin Cheng Xiaoying Tang Tao R. Lin Tao Lin MoE 66 7 0 23 May 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning Rishub Tamirisa Chulin Xie Wenxuan Bao Andy Zhou Ron Arel Aviv Shamsian 44 6 0 03 Apr 2024
Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization Mainak Singha Ankit Jha Shirsha Bose Ashwin Nair Moloud Abdar Biplab Banerjee VLM 65 11 0 31 Mar 2024
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization Khiem Le-Huy Long Ho Cuong D. Do Danh Le-Phuoc Kok-Seng Wong OOD FedML 60 3 0 22 Mar 2024
Optimal Transport for Domain Adaptation through Gaussian Mixture Models Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OT 57 1 0 18 Mar 2024
Uncertainty-Aware Pseudo-Label Filtering for Source-Free Unsupervised Domain Adaptation Xi Chen Haosen Yang Huicong Zhang Hongxun Yao Xiatian Zhu 51 3 0 17 Mar 2024
Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias Wenyu Zhang Qingmu Liu Felix Ong Wei Cong Mohamed Ragab Chuan-Sheng Foo 37 0 0 17 Mar 2024
From Canteen Food to Daily Meals: Generalizing Food Recognition to More Practical Scenarios Guoshan Liu Yang Jiao Jingjing Chen Bin Zhu Yueping Jiang 44 6 0 12 Mar 2024
LEAD: Learning Decomposition for Source-free Universal Domain Adaptation Sanqing Qu Tianpei Zou Lianghua He Florian Röhrbein Alois Knoll Guang Chen Changjun Jiang 50 12 0 06 Mar 2024
Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation Zhekai Du Xinyao Li Fengling Li Ke Lu Lei Zhu Jingjing Li 48 16 0 05 Mar 2024
DomainVerse: A Benchmark Towards Real-World Distribution Shifts For Tuning-Free Adaptive Domain Generalization Feng Hou Jin Yuan Ying Yang Yang Liu Yang Zhang Cheng Zhong Zhongchao Shi Jianping Fan Yong Rui Zhiqiang He VLM 58 1 0 05 Mar 2024
Fine-tuning with Very Large Dropout Jianyu Zhang Léon Bottou 48 1 0 01 Mar 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning Ha Min Son M. Kim Tai-Myung Chung Chao Huang Xin Liu FedML 48 3 0 27 Feb 2024
A Comprehensive Review of Machine Learning Advances on Data Change: A Cross-Field Perspective Jeng-Lin Li Chih-Fan Hsu Ming-Ching Chang Wei-Chao Chen OOD 58 2 0 20 Feb 2024
Domain Adaptation Using Pseudo Labels S. Chhabra Hemanth Venkateswara Baoxin Li 40 1 0 09 Feb 2024
DAPlankton: Benchmark Dataset for Multi-instrument Plankton Recognition via Fine-grained Domain Adaptation Daniel Batrakhanov T. Eerola K. Kraft Lumi Haraguchi L. Lensu S. Suikkanen María Teresa Camarena-Gómez Jukka Seppälä Heikki Kälviäinen 40 3 0 08 Feb 2024
Source-Free Unsupervised Domain Adaptation with Hypothesis Consolidation of Prediction Rationale Yangyang Shu Xiaofeng Cao Qi Chen Bowen Zhang Ziqin Zhou Anton Van Den Hengel Lingqiao Liu 37 0 0 02 Feb 2024
Understanding Domain Generalization: A Noise Robustness Perspective Rui Qiao K. H. Low OOD 44 6 0 26 Jan 2024
LanDA: Language-Guided Multi-Source Domain Adaptation Zhenbin Wang Lei Zhang Lituan Wang Minjuan Zhu 40 10 0 25 Jan 2024
HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization Guanglin Zhou Zhongyi Han Shiming Chen Erdun Gao Liming Zhu Tongliang Liu Lina Yao Kun Zhang 37 3 0 18 Jan 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift Renchunzi Xie Ambroise Odonnat Vasilii Feofanov I. Redko Jianfeng Zhang Bo An UQCV 83 1 0 17 Jan 2024
Preserving Silent Features for Domain Generalization Chujie Zhao Tianren Zhang Feng Chen 43 0 0 06 Jan 2024
Plug-and-Play Transformer Modules for Test-Time Adaptation Xiangyu Chang Sk. Miraj Ahmed S. Krishnamurthy Başak Güler A. Swami Samet Oymak Amit K. Roy-Chowdhury 53 0 0 06 Jan 2024
SynCDR : Training Cross Domain Retrieval Models with Synthetic Data Samarth Mishra Carlos D. Castillo Hongcheng Wang Kate Saenko Venkatesh Saligrama 56 1 0 31 Dec 2023
Revisiting Knowledge Distillation under Distribution Shift Songming Zhang Ziyu Lyu Xiaofeng Chen 37 1 0 25 Dec 2023
MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learning Yi Xin Junlong Du Qiang Wang Ke Yan Shouhong Ding VLM 47 48 0 14 Dec 2023
Invariant Representation via Decoupling Style and Spurious Features from Images Ruimeng Li Yuanhao Pu Zhaoyi Li Hong Xie Defu Lian OOD 47 1 0 11 Dec 2023
Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression Sergey Kolesnikov CML OOD 30 4 0 04 Dec 2023
Source-Free Domain Adaptation with Frozen Multimodal Foundation Model Song Tang Wenxin Su Mao Ye Xiatian Zhu VLM 56 21 0 27 Nov 2023
Choosing Wisely and Learning Deeply: Selective Cross-Modality Distillation via CLIP for Domain Generalization Jixuan Leng Yijiang Li Haohan Wang VLM 44 0 0 26 Nov 2023
Parameter Exchange for Robust Dynamic Domain Generalization Luojun Lin Zhifeng Shen Zhishu Sun Yuanlong Yu Lei Zhang Weijie Chen OOD 65 6 0 23 Nov 2023
Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images Gauransh Sawhney Daksh Dave Adeel Ahmed Jiechao Gao Khalid Saleem 36 0 0 21 Nov 2023
A2XP: Towards Private Domain Generalization Geunhyeok Yu Hyoseok Hwang 65 0 0 17 Nov 2023
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis 39 4 0 09 Nov 2023
Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach Zhenbang Du Jiayu An Yunlu Tu Jiahao Hong Dongrui Wu MoE 33 1 0 01 Nov 2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization Jun-Gyu Park Dong-Jun Han Jinho Kim Jianing Zhang Christopher G. Brinton Jaekyun Moon OOD FedML 55 15 0 01 Nov 2023
Domain Generalisation via Risk Distribution Matching Toan Nguyen Kien Do Bao Duong T. Nguyen OOD 44 4 0 28 Oct 2023
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi BDL OOD 48 1 0 25 Oct 2023
Deep Feature Registration for Unsupervised Domain Adaptation Youshan Zhang Brian D. Davison 30 0 0 24 Oct 2023
Confounder Balancing in Adversarial Domain Adaptation for Pre-Trained Large Models Fine-Tuning Shuoran Jiang Qingcai Chen Yang Xiang Youcheng Pan Xiangping Wu AI4CE 47 0 0 24 Oct 2023
Domain Generalization Using Large Pretrained Models with Mixture-of-Adapters Gyuseong Lee Wooseok Jang Jin Hyeon Kim Jaewoo Jung Seungryong Kim MoE OOD 32 3 0 17 Oct 2023
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation Taejong Joo Diego Klabjan 66 1 0 16 Oct 2023