Co-occurring keywords · papers mentioning both
Papers
Iterative Alignment Flows
AISTATS 2022
Kantorovich Mechanism for Pufferfish Privacy
AISTATS 2022
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?
NeurIPS 2022
Keyphrase Generation via Soft and Hard Semantic Corrections
EMNLP 2022
Keypoint-Guided Optimal Transport with Applications in Heterogeneous Domain Adaptation
NeurIPS 2022
KNOT: Knowledge Distillation Using Optimal Transport for Solving NLP Tasks
COLING 2022
Learning from Label Proportions with Prototypical Contrastive Clustering
AAAI 2022
Learning meta-features for AutoML
ICLR 2022
Learning Prototype-oriented Set Representations for Meta-Learning
ICLR 2022
Learning Revenue-Maximizing Auctions With Differentiable Matching
AISTATS 2022
Learning To Align Sequential Actions in the Wild
CVPR 2022
Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters
ICML 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification
NeurIPS 2022
Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory
ICLR 2022
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
ICML 2022
LOSSY COMPRESSION WITH DISTRIBUTION SHIFT AS ENTROPY CONSTRAINED OPTIMAL TRANSPORT
ICLR 2022
Low-rank Optimal Transport: Approximation, Statistics and Debiasing
NeurIPS 2022
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference
NeurIPS 2022
Many processors, little time: MCMC for partitions via optimal transport couplings
AISTATS 2022
Mapping conditional distributions for domain adaptation under generalized target shift
ICLR 2022
Measure Estimation in the Barycentric Coding Model
ICML 2022
MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences
EMNLP 2022
Model Compression Using Optimal Transport
WACV 2022
Modulated Contrast for Versatile Image Synthesis
CVPR 2022
MoReL: Multi-omics Relational Learning
ICLR 2022