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

Fashion Microscope: Pixel-Level Attribute Perception via Optimal Transport and Neural Semantic Aggregation AAAI 2026

Toward the Frontiers of Reliable Diffusion Sampling via Adversarial Sinkhorn Attention Guidance AAAI 2026

Optimal Transport for Rectified Flow Image Editing: Unifying Inversion-Based and Direct Methods WACV 2026

A Novel Fine-Tuned CLIP-OOD Detection Method with Double Loss Constraint Through Optimal Transport Semantic Alignment AAAI 2026

Unsupervised Semantic Discovery via Global and Local Semantic Alignment in Multimodal Clustering AAAI 2026

MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models AAAI 2026

Procedure Learning via Regularized Gromov-Wasserstein Optimal Transport WACV 2026

AutoSew: A Geometric Approach to Stitching Prediction with Graph Neural Networks WACV 2026

WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network AAAI 2026

Asymmetric Cross-Modal Knowledge Distillation: Bridging Modalities with Weak Semantic Consistency AAAI 2026

Inverse Optimal Transport for Efficient Adaptation of Vision-Language Models AAAI 2026

GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs AAAI 2026

Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport (Abstract Reprint) AAAI 2026

Dual Coding Theory in Action: Language-Assisted Human Pose Estimation in Videos AAAI 2026

DOTGraph: CLIP-Driven Feature Disentanglement and Optimal Transport based Graph Learning for Few-Shot Segmentation WACV 2026

Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation WACV 2026

Neural Geometry Image-Based Representations with Optimal Transport (OT) WACV 2026

Learning from Unknown for Open-Set Test-Time Adaptation WACV 2026

Scalpel: Fine-Grained Alignment of Attention Activation Manifolds via Mixture Gaussian Bridges to Mitigate Multimodal Hallucination WACV 2026

Beyond Coherence: Improving Temporal Consistency and Interpretability in Dynamic Topic Models EACL 2026

SynerDetect: Hierarchical Synergistic Learning for Generalizable AI-Generated Image Detection AAAI 2026

Modality-Aware Bias Mitigation and Invariance Learning for Unsupervised Visible-Infrared Person Re-Identification AAAI 2026

IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction AAAI 2026

DIET: Machine Unlearning on a Data-Diet AAAI 2026

BridgeShape: Latent Diffusion Schrödinger Bridge for 3D Shape Completion AAAI 2026