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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

Batch Greenkhorn Algorithm for Entropic-Regularized Multimarginal Optimal Transport: Linear Rate of Convergence and Iteration Complexity ICML 2022
OTSeq2Set: An Optimal Transport Enhanced Sequence-to-Set Model for Extreme Multi-label Text Classification EMNLP 2022
Keyphrase Generation via Soft and Hard Semantic Corrections EMNLP 2022
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences EMNLP 2022
Few-Shot Cross-Lingual Learning for Event Detection EMNLP 2022
UniVIP: A Unified Framework for Self-Supervised Visual Pre-Training CVPR 2022
Partially Does It: Towards Scene-Level FG-SBIR With Partial Input CVPR 2022
Dynamic Sparse R-CNN CVPR 2022
Bending Graphs: Hierarchical Shape Matching Using Gated Optimal Transport CVPR 2022
DR.VIC: Decomposition and Reasoning for Video Individual Counting CVPR 2022
Learning To Align Sequential Actions in the Wild CVPR 2022
PolyWorld: Polygonal Building Extraction With Graph Neural Networks in Satellite Images CVPR 2022
Theory and Approximate Solvers for Branched Optimal Transport with Multiple Sources NIPS 2022
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport NIPS 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning NIPS 2022
Wasserstein $K$-means for clustering probability distributions NIPS 2022
Amortized Mixing Coupling Processes for Clustering NIPS 2022
Asymptotics of smoothed Wasserstein distances in the small noise regime NIPS 2022
Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation NIPS 2022
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances NIPS 2022
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport NIPS 2022
Model Compression Using Optimal Transport WACV 2022
Template based Graph Neural Network with Optimal Transport Distances NIPS 2022
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? NIPS 2022
Wasserstein Iterative Networks for Barycenter Estimation NIPS 2022