optimal transport

945 papers

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Also known as

OPT MOT OT AOT UOT

Co-occurring keywords

wasserstein distance (417) domain adaptation (4578) sinkhorn algorithm (63) entropic regularization (53) generative model (2889) unsupervised learning (3255) generative adversarial network (1939) wasserstein barycenter (46) representation learning (6174) probability distribution (265)

Papers

Topic Modeling for Short Texts via Optimal Transport-Based Clustering ACL 2025

Spatial Transport Optimization by Repositioning Attention Map for Training-Free Text-to-Image Synthesis CVPR 2025

Class Token as Proxy: Optimal Transport-assisted Proxy Learning for Weakly Supervised Semantic Segmentation ICCV 2025

Taming Flow Matching with Unbalanced Optimal Transport into Fast Pansharpening ICCV 2025

LaCoOT: Layer Collapse through Optimal Transport ICCV 2025

Seal Your Backdoor with Variational Defense ICCV 2025

A Similarity Paradigm Through Textual Regularization Without Forgetting AAAI 2025

Learnable Retrieval Enhanced Visual-Text Alignment and Fusion for Radiology Report Generation ICCV 2025

Enhanced then Progressive Fusion with View Graph for Multi-View Clustering CVPR 2025

Improving Unsupervised Neural Machine Translation via Training Data Self-Correction COLING 2024

One2Set + Large Language Model: Best Partners for Keyphrase Generation EMNLP 2024

Hierarchical Selection of Important Context for Generative Event Causality Identification with Optimal Transports COLING 2024

Instance-Optimal Private Density Estimation in the Wasserstein Distance NIPS 2024

InfoEnh: Towards Multimodal Sentiment Analysis via Information Bottleneck Filter and Optimal Transport Alignment COLING 2024

Quantum Theory and Application of Contextual Optimal Transport ICML 2024

Adversarial Schrödinger Bridge Matching NIPS 2024

Structured Transforms Across Spaces with Cost-Regularized Optimal Transport AISTATS 2024

Synergizing Contrastive Learning and Optimal Transport for 3D Point Cloud Domain Adaptation WACV 2024

An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification JMLR 2024

Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm AISTATS 2024

Wasserstein Proximal Coordinate Gradient Algorithms JMLR 2024

Transport-based Counterfactual Models JMLR 2024

Policy Learning for Localized Interventions from Observational Data AISTATS 2024

Lower Complexity Adaptation for Empirical Entropic Optimal Transport JMLR 2024

Integrating Speech Self-Supervised Learning Models and Large Language Models for ASR INTERSPEECH 2024