DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

27 March 2018

Papers citing "DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation"

50 / 77 papers shown

Title
Soft-Masked Semi-Dual Optimal Transport for Partial Domain Adaptation Yi-Ming Zhai Chuan-Xian Ren Hong Yan 52 0 0 03 May 2025
OT-DETECTOR: Delving into Optimal Transport for Zero-shot Out-of-Distribution Detection Yu Liu Hao Tang Haiqi Zhang Jing Qin ZeLin Li OODD 64 0 0 09 Mar 2025
GDO: Gradual Domain Osmosis Zixi Wang Yubo Huang 207 0 0 31 Jan 2025
Bridging Contrastive Learning and Domain Adaptation: Theoretical Perspective and Practical Application Gonzalo Iñaki Quintana Laurence Vancamberg Vincent Jugnon Agnès Desolneux Mathilde Mougeot MedIm 57 1 0 28 Jan 2025
Your Data Is Not Perfect: Towards Cross-Domain Out-of-Distribution Detection in Class-Imbalanced Data Xiang Fang Arvind Easwaran B. Genest Ponnuthurai Nagaratnam Suganthan 83 14 0 09 Dec 2024
An Eye for an Ear: Zero-shot Audio Description Leveraging an Image Captioner using Audiovisual Distribution Alignment Hugo Malard Michel Olvera Stéphane Lathuilière S. Essid VLM 39 0 0 08 Oct 2024
Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud Mengxi Wu Hao Huang Yi Fang Mohammad Rostami 29 0 0 03 Oct 2024
Prototypical Partial Optimal Transport for Universal Domain Adaptation Yucheng Yang Xiang Gu Jian Sun OT 49 11 0 02 Aug 2024
Robust and Efficient Transfer Learning via Supernet Transfer in Warm-started Neural Architecture Search Prabhant Singh Joaquin Vanschoren AAML OOD 42 0 0 26 Jul 2024
Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment Théo Gnassounou Antoine Collas Rémi Flamary Karim Lounici Alexandre Gramfort 43 2 0 19 Jul 2024
SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities Yanis Lalou Théo Gnassounou Antoine Collas Antoine de Mathelin Oleksii Kachaiev Ambroise Odonnat Alexandre Gramfort Thomas Moreau Rémi Flamary 87 0 0 16 Jul 2024
AWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation Yuhan Zhu Yuyang Ji Zhiyu Zhao Gangshan Wu Limin Wang VLM 47 7 0 05 Jul 2024
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights Zeqin Yang Weilin Chen Ruichu Cai Yuguang Yan Zhifeng Hao Zhipeng Yu Zhichao Zou Jixing Xu Zhen Peng Jiecheng Guo 64 3 0 27 Jun 2024
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions Khai Nguyen Nhat Ho 42 3 0 23 Apr 2024
Optimal Transport for Domain Adaptation through Gaussian Mixture Models Eduardo Fernandes Montesuma Fred-Maurice Ngole-Mboula Antoine Souloumiac OT 46 1 0 18 Mar 2024
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning Hongxia Li Wei Huang Jingya Wang Ye-ling Shi FedML VLM 41 19 0 29 Feb 2024
Domain Adaptation Using Pseudo Labels S. Chhabra Hemanth Venkateswara Baoxin Li 27 1 0 09 Feb 2024
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations Xun Tang Michael Shavlovsky Holakou Rahmanian Elisa Tardini K. K. Thekumparampil Tesi Xiao Lexing Ying OT 39 4 0 20 Jan 2024
A2XP: Towards Private Domain Generalization Geunhyeok Yu Hyoseok Hwang 39 0 0 17 Nov 2023
Deep Feature Registration for Unsupervised Domain Adaptation Youshan Zhang Brian D. Davison 25 0 0 24 Oct 2023
Neural domain alignment for spoken language recognition based on optimal transport Xugang Lu Peng Shen Yu Tsao Hisashi Kawai OT 33 0 0 20 Oct 2023
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation N. Panda Natalie Klein Dominic Yang P. Gasda Diane Oyen 32 1 0 18 Apr 2023
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation Nazmul Karim Niluthpol Chowdhury Mithun Abhinav Rajvanshi Han-Pang Chiu S. Samarasekera Nazanin Rahnavard TTA 21 56 0 30 Mar 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data Mengxi Wu Mohammad Rostami AI4CE 21 3 0 29 Jan 2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction Khai Nguyen Dang Nguyen N. Ho 32 9 0 12 Jan 2023
Unsupervised Domain Adaptation Based on the Predictive Uncertainty of Models JoonHo Lee Gyemin Lee 40 12 0 16 Nov 2022
Unified Optimal Transport Framework for Universal Domain Adaptation Wanxing Chang Ye Shi H. Tuan Jingya Wang OT 24 60 0 31 Oct 2022
Robust Target Training for Multi-Source Domain Adaptation Zhongying Deng Da Li Yi-Zhe Song Tao Xiang OOD 24 3 0 04 Oct 2022
Hierarchical Sliced Wasserstein Distance Khai Nguyen Tongzheng Ren Huy Nguyen Litu Rout T. Nguyen Nhat Ho 33 20 0 27 Sep 2022
Unsupervised Domain Adaptation for Extra Features in the Target Domain Using Optimal Transport Toshimitsu Aritake H. Hino OT 29 1 0 10 Sep 2022
Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation Xinyue Hu Lin Gu Liangchen Liu Ruijiang Li Chang Su Tatsuya Harada Yingying Zhu TTA 17 0 0 13 Aug 2022
On making optimal transport robust to all outliers Kilian Fatras OT 19 0 0 23 Jun 2022
Improving Transferability for Domain Adaptive Detection Transformers Kaixiong Gong Shuang Li Shugang Li Rui Zhang Chi Harold Liu Qiang Chen 57 34 0 29 Apr 2022
Revisiting Sliced Wasserstein on Images: From Vectorization to Convolution Khai Nguyen Nhat Ho 30 25 0 04 Apr 2022
A Sentinel-2 multi-year, multi-country benchmark dataset for crop classification and segmentation with deep learning Dimitrios Sykas Maria Sdraka Dimitrios Zografakis Ioannis Papoutsis 25 36 0 02 Apr 2022
Bures Joint Distribution Alignment with Dynamic Margin for Unsupervised Domain Adaptation Yong-Jin Liu Chuan-Xian Ren Xiao-Lin Xu Ke-Kun Huang OOD 30 2 0 14 Mar 2022
Learning Distinctive Margin toward Active Domain Adaptation Ming-Kun Xie Yuxi Li Yabiao Wang Zekun Luo Zhenye Gan Zhongyi Sun M. Chi Chengjie Wang Pei Wang 36 31 0 11 Mar 2022
Global-Local Regularization Via Distributional Robustness Hoang Phan Trung Le Trung-Nghia Phung Tu Bui Nhat Ho Dinh Q. Phung OOD 22 12 0 01 Mar 2022
Improving Molecular Representation Learning with Metric Learning-enhanced Optimal Transport Fang Wu Nicolas Courty Shuting Jin Stan Z. Li OOD OT 23 8 0 13 Feb 2022
Certifying Model Accuracy under Distribution Shifts Aounon Kumar Alexander Levine Tom Goldstein S. Feizi OOD 27 7 0 28 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 34 101 0 15 Jan 2022
Deep Optimal Transport for Domain Adaptation on SPD Manifolds Ce Ju Cuntai Guan 48 3 0 15 Jan 2022
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings Yuzhe Lu Xinran Liu Andrea Soltoggio Soheil Kolouri 21 7 0 11 Dec 2021
SCLAiR : Supervised Contrastive Learning for User and Device Independent Airwriting Recognition Ayush Tripathi A. Mondal Lalan Kumar Prathosh Ap 22 9 0 25 Nov 2021
Mapping conditional distributions for domain adaptation under generalized target shift Matthieu Kirchmeyer A. Rakotomamonjy Emmanuel de Bézenac Patrick Gallinari OOD 39 22 0 26 Oct 2021
A Prototype-Oriented Framework for Unsupervised Domain Adaptation Korawat Tanwisuth Xinjie Fan Huangjie Zheng Shujian Zhang A. Leon-Garcia Bo Chen Mingyuan Zhou 55 102 0 22 Oct 2021
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity Bernd Gruner Matthias Körschens Björn Barz Joachim Denzler 22 0 0 22 Oct 2021
Unsupervised Domain Adaptation for LiDAR Panoptic Segmentation Borna Bevsić Nikhil Gosala Daniele Cattaneo Abhinav Valada 30 21 0 30 Sep 2021
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation Tongkun Xu Weihua Chen Pichao Wang Fan Wang Hao Li Rong Jin ViT 59 215 0 13 Sep 2021
Entropic Gromov-Wasserstein between Gaussian Distributions Khang Le Dung D. Le Huy Nguyen Dat Do Tung Pham Nhat Ho OT 24 18 0 24 Aug 2021