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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

A Wasserstein Minimax Framework for Mixed Linear Regression ICML 2021
Riemannian Convex Potential Maps ICML 2021
Group-aware Label Transfer for Domain Adaptive Person Re-identification CVPR 2021
Deep Transport Network for Unsupervised Video Object Segmentation ICCV 2021
Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search ICML 2021
GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles NIPS 2021
Bayesian Inference for Optimal Transport with Stochastic Cost ACML 2021
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks ICML 2021
A Faster Maximum Cardinality Matching Algorithm with Applications in Machine Learning NIPS 2021
MongeNet: Efficient Sampler for Geometric Deep Learning CVPR 2021
On Robust Optimal Transport: Computational Complexity and Barycenter Computation NIPS 2021
Improved Complexity Bounds in Wasserstein Barycenter Problem AISTATS 2021
Unsupervised Noise Adaptive Speech Enhancement by Discriminator-Constrained Optimal Transport NIPS 2021
Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization CVPR 2021
Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings EMNLP 2021
Fast Approximation of the Sliced-Wasserstein Distance Using Concentration of Random Projections NIPS 2021
Improving Gaussian mixture latent variable model convergence with Optimal Transport ACML 2021
Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models ICML 2021
Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport EMNLP 2021
SWIFT: Scalable Wasserstein Factorization for Sparse Nonnegative Tensors AAAI 2021
On efficient multilevel Clustering via Wasserstein distances JMLR 2021
Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction CVPR 2021
Optimal transport mapping via input convex neural networks ICML 2020
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport NIPS 2020
CO-Optimal Transport NIPS 2020