Co-occurring keywords · papers mentioning both
Papers
Gaussian-Smoothed Optimal Transport: Metric Structure and Statistical Efficiency
AISTATS 2020
Geometric Dataset Distances via Optimal Transport
NeurIPS 2020
Geometry-aware domain adaptation for unsupervised alignment of word embeddings
ACL 2020
Gradient descent algorithms for Bures-Wasserstein barycenters
COLT 2020
Graph Optimal Transport for Cross-Domain Alignment
ICML 2020
Gromov-Wasserstein Factorization Models for Graph Clustering
AAAI 2020
Healing Products of Gaussian Process Experts
ICML 2020
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization
ICML 2020
Improving Text Generation with Student-Forcing Optimal Transport
EMNLP 2020
Joint Partial Optimal Transport for Open Set Domain Adaptation
IJCAI 2020
Learning the Geometry of Wave-Based Imaging
NeurIPS 2020
Learning transport cost from subset correspondence
ICLR 2020
Linear Time Sinkhorn Divergences using Positive Features
NeurIPS 2020
Margin-aware Adversarial Domain Adaptation with Optimal Transport
ICML 2020
Metric Learning in Optimal Transport for Domain Adaptation
IJCAI 2020
MinMax Methods for Optimal Transport and Beyond: Regularization, Approximation and Numerics
NeurIPS 2020
Missing Data Imputation using Optimal Transport
ICML 2020
Model Fusion via Optimal Transport
NeurIPS 2020
Online Domain Adaptation for Occupancy Mapping
RSS 2020
Online Sinkhorn: Optimal Transport distances from sample streams
NeurIPS 2020
Optimal transport mapping via input convex neural networks
ICML 2020
OTLDA: A Geometry-aware Optimal Transport Approach for Topic Modeling
NeurIPS 2020
Partial Optimal Tranport with applications on Positive-Unlabeled Learning
NeurIPS 2020
Projection Robust Wasserstein Distance and Riemannian Optimization
NeurIPS 2020
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
ICML 2020