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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

Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics NIPS 2023
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation ACL 2023
MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition ACL 2023
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective NIPS 2023
Dynamic Flows on Curved Space Generated by Labeled Data IJCAI 2023
AutoML for Outlier Detection with Optimal Transport Distances IJCAI 2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models NIPS 2023
Optimal Transport-Guided Conditional Score-Based Diffusion Model NIPS 2023
Mirror Sinkhorn: Fast Online Optimization on Transport Polytopes ICML 2023
Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells ICCV 2023
Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction ICCV 2023
FedPD: Federated Open Set Recognition with Parameter Disentanglement ICCV 2023
Semi-supervised Domain Adaptation via Prototype-based Multi-level Learning IJCAI 2023
Event Process Typing via Hierarchical Optimal Transport AAAI 2023
Fair learning with Wasserstein barycenters for non-decomposable performance measures AISTATS 2023
Fair Data Representation for Machine Learning at the Pareto Frontier JMLR 2023
Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation ICML 2023
Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks ICML 2023
Neural Wasserstein Gradient Flows for Discrepancies with Riesz Kernels ICML 2023
Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification NIPS 2023
Fair and Optimal Classification via Post-Processing ICML 2023
Accelerating Motion Planning via Optimal Transport NIPS 2023
Optimal Transport Model Distributional Robustness NIPS 2023
Latent Processes Identification From Multi-View Time Series IJCAI 2023
Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning (Student Abstract) AAAI 2023