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Optimal Transport

369 papers

Papers per year

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Papers

Gradual Domain Adaptation: Theory and Algorithms JMLR 2024
Entropic Gromov-Wasserstein Distances: Stability and Algorithms JMLR 2024
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification JMLR 2024
Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification NIPS 2023
Optimal Transport Model Distributional Robustness NIPS 2023
Outlier-Robust Gromov-Wasserstein for Graph Data NIPS 2023
Retrieval-Augmented Multiple Instance Learning NIPS 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs NIPS 2023
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics NIPS 2023
Markovian Sliced Wasserstein Distances: Beyond Independent Projections NIPS 2023
Extremal Domain Translation with Neural Optimal Transport NIPS 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport NIPS 2023
Generalized Belief Transport NIPS 2023
Normalizing flow neural networks by JKO scheme NIPS 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models NIPS 2023
Unbalanced Low-rank Optimal Transport Solvers NIPS 2023
A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance NIPS 2023
Jointly Imputing Multi-View Data with Optimal Transport AAAI 2023
TOT：Topology-Aware Optimal Transport for Multimodal Hate Detection AAAI 2023
Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization AAAI 2023
Combining Slow and Fast: Complementary Filtering for Dynamics Learning AAAI 2023
Unbalanced CO-optimal Transport AAAI 2023
Event Process Typing via Hierarchical Optimal Transport AAAI 2023
Unbalanced Optimal Transport for Unbalanced Word Alignment ACL 2023
Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport ACL 2023