Joint Distribution Optimal Transportation for Domain Adaptation

24 May 2017

Papers citing "Joint Distribution Optimal Transportation for Domain Adaptation"

50 / 126 papers shown

Title
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention Alexander Koebler Thomas Decker Ingo Thon Volker Tresp Florian Buettner 31 0 0 11 May 2025
Soft-Masked Semi-Dual Optimal Transport for Partial Domain Adaptation Yi-Ming Zhai Chuan-Xian Ren Hong Yan 57 0 0 03 May 2025
Stein Discrepancy for Unsupervised Domain Adaptation Anneke von Seeger Dongmian Zou Gilad Lerman 96 0 0 24 Feb 2025
THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings Bowen Deng Tong Wang Lele Fu Sheng Huang Chuan Chen Tao Zhang 97 0 0 17 Feb 2025
Bandit Optimal Transport Lorenzo Croissant 82 0 0 11 Feb 2025
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation Lingkun Luo Shiqiang Hu Liming Chen 94 0 0 10 Feb 2025
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport Bin Li Ye-ling Shi Qian Yu Jingya Wang OT 61 1 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 53 1 0 31 Dec 2024
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy Ya-Wei Eileen Lin Ronald R. Coifman Gal Mishne Ronen Talmon 45 2 0 28 Oct 2024
Learning signals defined on graphs with optimal transport and Gaussian process regression Raphael Carpintero Perez Sébastien da Veiga Josselin Garnier B. Staber 57 1 0 21 Oct 2024
Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud Mengxi Wu Hao Huang Yi Fang Mohammad Rostami 34 0 0 03 Oct 2024
The Benefits of Balance: From Information Projections to Variance Reduction Lang Liu Ronak R. Mehta Soumik Pal Zaïd Harchaoui 33 0 0 27 Aug 2024
Prototypical Partial Optimal Transport for Universal Domain Adaptation Yucheng Yang Xiang Gu Jian Sun OT 54 11 0 02 Aug 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
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 71 3 0 27 Jun 2024
Domain Adaptation with Cauchy-Schwarz Divergence Wenzhe Yin Shujian Yu Yicong Lin Jie Li Jan-Jakob Sonke E. Gavves 34 3 0 30 May 2024
Efficient Trajectory Inference in Wasserstein Space Using Consecutive Averaging Amartya Banerjee Harlin Lee Nir Sharon Caroline Moosmüller 47 1 0 30 May 2024
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances Jie Wang M. Boedihardjo Yao Xie 59 1 0 24 May 2024
Causally Inspired Regularization Enables Domain General Representations Olawale Salaudeen Oluwasanmi Koyejo OOD CML 25 2 0 25 Apr 2024
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions Khai Nguyen Nhat Ho 47 3 0 23 Apr 2024
A Weight-aware-based Multi-source Unsupervised Domain Adaptation Method for Human Motion Intention Recognition Xiao-Yin Liu Guo-Tao Li Xiao-Hu Zhou Xu Liang Zeng-Guang Hou 78 0 0 19 Apr 2024
LanDA: Language-Guided Multi-Source Domain Adaptation Zhenbin Wang Lei Zhang Lituan Wang Minjuan Zhu 40 10 0 25 Jan 2024
Enhancing selectivity using Wasserstein distance based reweighing Pratik Worah OOD 56 0 0 21 Jan 2024
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations Xun Tang Michael Shavlovsky Holakou Rahmanian Elisa Tardini K. K. Thekumparampil Tesi Xiao Lexing Ying OT 41 4 0 20 Jan 2024
Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach Sagar Shrestha Xiao Fu 25 3 0 18 Jan 2024
Gradual Domain Adaptation: Theory and Algorithms Yifei He Haoxiang Wang Bo Li Han Zhao CLL 57 6 0 20 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
Optimal Transport with Adaptive Regularisation Hugues van Assel Titouan Vayer Rémi Flamary Nicolas Courty OT 27 2 0 04 Oct 2023
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources Feiyang Kang H. Just Anit Kumar Sahu R. Jia 61 10 0 05 Jul 2023
Partial Identifiability for Domain Adaptation Lingjing Kong Shaoan Xie Weiran Yao Yujia Zheng Guan-Hong Chen P. Stojanov Victor Akinwande Kun Zhang 58 9 0 10 Jun 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs Jacob Lindbäck Zesen Wang Mikael Johansson OT 50 1 0 29 May 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models Z. Y. Wan Ricardo Baptista Yi-fan Chen John R. Anderson Anudhyan Boral Fei Sha Leonardo Zepeda-Núñez DiffM 52 24 0 24 May 2023
Computing high-dimensional optimal transport by flow neural networks Chen Xu Xiuyuan Cheng Yao Xie OT 45 4 0 19 May 2023
To transfer or not transfer: Unified transferability metric and analysis Qianshan Zhan Fangyin Wei 34 2 0 12 May 2023
Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence Rémi Leluc Franccois Portier Johan Segers Aigerim Zhuman 36 7 0 10 May 2023
A multimodal dynamical variational autoencoder for audiovisual speech representation learning Samir Sadok Simon Leglaive Laurent Girin Xavier Alameda-Pineda Renaud Séguier 38 11 0 05 May 2023
Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning Xinyang Huang Chuanglu Zhu Wenkai Chen 42 12 0 04 May 2023
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation N. Panda Natalie Klein Dominic Yang P. Gasda Diane Oyen 37 1 0 18 Apr 2023
Diffusion Schrödinger Bridge Matching Yuyang Shi Valentin De Bortoli Andrew Campbell Arnaud Doucet DiffM OT 67 70 0 29 Mar 2023
Practicality of generalization guarantees for unsupervised domain adaptation with neural networks Adam Breitholtz Fredrik D. Johansson OOD 23 1 0 15 Mar 2023
The Monge Gap: A Regularizer to Learn All Transport Maps Théo Uscidda Marco Cuturi OT 55 27 0 09 Feb 2023
Linear Optimal Partial Transport Embedding Yikun Bai Ivan Medri Rocio Diaz Martin Rana Muhammad Shahroz Khan Soheil Kolouri OT 50 9 0 07 Feb 2023
Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data Mengxi Wu Mohammad Rostami AI4CE 28 3 0 29 Jan 2023
Target Conditioned Representation Independence (TCRI); From Domain-Invariant to Domain-General Representations Olawale Salaudeen Oluwasanmi Koyejo 32 2 0 21 Dec 2022
Learning List-Level Domain-Invariant Representations for Ranking Ruicheng Xian Honglei Zhuang Zhen Qin Hamed Zamani Jing Lu Ji Ma Kai Hui Han Zhao Xuanhui Wang Michael Bendersky OOD 54 9 0 21 Dec 2022
Sliced Optimal Partial Transport Yikun Bai Bernhard Schmitzer Matthew Thorpe Soheil Kolouri OT 29 20 0 15 Dec 2022
Unbalanced Optimal Transport, from Theory to Numerics Thibault Séjourné Gabriel Peyré Franccois-Xavier Vialard OT 30 48 0 16 Nov 2022
Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport Mourad El Hamri Younès Bennani Issam Falih 22 1 0 24 Oct 2022
Attention Regularized Laplace Graph for Domain Adaptation Lingkun Luo Limin Chen Shiqiang Hu AI4CE 27 7 0 15 Oct 2022
InfoOT: Information Maximizing Optimal Transport Ching-Yao Chuang Stefanie Jegelka David Alvarez-Melis OT 40 12 0 06 Oct 2022