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

Center-Outward q-Dominance: A Sample-Computable Proxy for Strong Stochastic Dominance in Stochastic Multi-Objective Optimisation AAAI 2026

PaSE: Prototype-aligned Calibration and Shapley-based Equilibrium for Multimodal Sentiment Analysis AAAI 2026

Physics Consistent World Models via Schrödinger-Bridge Optimal Transport for Computational Imaging and 3D-Consistent Video Generations AAAI 2026

2D Gaussians Spatial Transport for Point-supervised Density Regression AAAI 2026

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

Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition AAAI 2025

Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation IJCAI 2025

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models AAAI 2025

Learning Class Prototypes for Unified Sparse-Supervised 3D Object Detection CVPR 2025

On Probabilistic Embeddings in Optimal Dimension Reduction JMLR 2025

MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning ICCV 2025

Continual Unsupervised Generative Modelling via Online Optimal Transport AAAI 2025

EMO: Embedding Model Distillation via Intra-Model Relation and Optimal Transport Alignments EMNLP 2025

APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport EMNLP 2025

OPTICAL: Leveraging Optimal Transport for Contribution Allocation in Dataset Distillation CVPR 2025