optimal transport

Individually Fair Rankings ICLR 2021 Large-Scale Wasserstein Gradient Flows NeurIPS 2021 Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding ICCV 2021 Learning Canonical View Representation for 3D Shape Recognition With Arbitrary Views ICCV 2021 Learning Cross-lingual Representations for Event Coreference Resolution with Multi-view Alignment and Optimal Transport EMNLP 2021 Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction CVPR 2021 Learning from Nested Data with Ornstein Auto-Encoders ICML 2021 Learning Graphons via Structured Gromov-Wasserstein Barycenters AAAI 2021 Learning to Count via Unbalanced Optimal Transport AAAI 2021 Low-Rank Sinkhorn Factorization ICML 2021 Making transport more robust and interpretable by moving data through a small number of anchor points ICML 2021 Measuring Generalization with Optimal Transport NeurIPS 2021 Modality-Agnostic Topology Aware Localization NeurIPS 2021 MongeNet: Efficient Sampler for Geometric Deep Learning CVPR 2021 Moreau-Yosida f-divergences ICML 2021 Most: multi-source domain adaptation via optimal transport for student-teacher learning UAI 2021 Multi-Proxy Wasserstein Classifier for Image Classification AAAI 2021 Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation CVPR 2021 Neural Topic Model via Optimal Transport ICLR 2021 Non-asymptotic convergence bounds for Wasserstein approximation using point clouds NeurIPS 2021 On efficient multilevel Clustering via Wasserstein distances JMLR 2021 On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification AISTATS 2021 On Robust Optimal Transport: Computational Complexity and Barycenter Computation NeurIPS 2021 Optimal Transport for Deep Generative Models: State of the Art and Research Challenges IJCAI 2021 Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search ICML 2021