Optimal Transport

On Kinetic Optimal Probability Paths for Generative Models ICML 2023 Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation ACL 2023 Optimal Transport Model Distributional Robustness NeurIPS 2023 OT-Filter: An Optimal Transport Filter for Learning With Noisy Labels CVPR 2023 Outlier-Robust Gromov-Wasserstein for Graph Data NeurIPS 2023 Re-Basin via Implicit Sinkhorn Differentiation CVPR 2023 Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework ICML 2023 Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification NeurIPS 2023 Rethinking Initialization of the Sinkhorn Algorithm AISTATS 2023 Retrieval-Augmented Multiple Instance Learning NeurIPS 2023 Sampling From a Schrödinger Bridge AISTATS 2023 Scalable Unbalanced Sobolev Transport for Measures on a Graph AISTATS 2023 Semi-Dual Unbalanced Quadratic Optimal Transport: fast statistical rates and convergent algorithm. ICML 2023 Sliced Optimal Partial Transport CVPR 2023 SOT: Self-supervised Learning-Assisted Optimal Transport for Unsupervised Adaptive Speech Emotion Recognition Interspeech 2023 Spherical Sliced-Wasserstein ICLR 2023 The multimarginal optimal transport formulation of adversarial multiclass classification JMLR 2023 TOT：Topology-Aware Optimal Transport for Multimodal Hate Detection AAAI 2023 Unbalanced CO-optimal Transport AAAI 2023 Unbalanced Low-rank Optimal Transport Solvers NeurIPS 2023 Unbalanced Optimal Transport for Unbalanced Word Alignment ACL 2023 Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization AAAI 2023 Wasserstein Distributional Learning via Majorization-Minimization AISTATS 2023 Accurate Quantization of Measures via Interacting Particle-based Optimization ICML 2022 Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport NeurIPS 2022