Co-occurring keywords · papers mentioning both
Papers
AE-OT: A NEW GENERATIVE MODEL BASED ON EXTENDED SEMI-DISCRETE OPTIMAL TRANSPORT
ICLR 2020
A General Approach to Fairness with Optimal Transport
AAAI 2020
A mathematical theory of cooperative communication
NeurIPS 2020
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection
NeurIPS 2020
A Swiss Army Knife for Minimax Optimal Transport
ICML 2020
A Universal Approximation Theorem of Deep Neural Networks for Expressing Probability Distributions
NeurIPS 2020
Bayesian Meta Sampling for Fast Uncertainty Adaptation
ICLR 2020
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
AISTATS 2020
Context Mover’s Distance & Barycenters: Optimal Transport of Contexts for Building Representations
AISTATS 2020
Continuous Regularized Wasserstein Barycenters
NeurIPS 2020
CO-Optimal Transport
NeurIPS 2020
COPT: Coordinated Optimal Transport on Graphs
NeurIPS 2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport
NeurIPS 2020
Debiased Sinkhorn barycenters
ICML 2020
DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers
CVPR 2020
Deep Shells: Unsupervised Shape Correspondence with Optimal Transport
NeurIPS 2020
Differentiable Top-k with Optimal Transport
NeurIPS 2020
Distribution Matching for Crowd Counting
NeurIPS 2020
Enhanced Transport Distance for Unsupervised Domain Adaptation
CVPR 2020
Fair regression with Wasserstein barycenters
NeurIPS 2020
Fast Algorithms for Computational Optimal Transport and Wasserstein Barycenter
AISTATS 2020
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence
NeurIPS 2020
Fast geometric learning with symbolic matrices
NeurIPS 2020
Fast Unbalanced Optimal Transport on a Tree
NeurIPS 2020
Fixed-Support Wasserstein Barycenters: Computational Hardness and Fast Algorithm
NeurIPS 2020