Machine Learning
Improving Mini-batch Optimal Transport via Partial Transportation
Machine Learning
On Transportation of Mini-batches: A Hierarchical Approach
Machine Learning
Entropic Gromov-Wasserstein between Gaussian Distributions
Machine Learning
Robust Bayesian Recourse
Machine Learning
Cycle Class Consistency with Distributional Optimal Transport and Knowledge Distillation for Unsupervised Domain Adaptation
Natural Language Processing
Node Co-occurrence based Graph Neural Networks for Knowledge Graph Link Prediction
Machine Learning
Improving kernel online learning with a snapshot memory
Natural Language Processing
Vietnamese Speech-based Question Answering over Car Manuals
Machine Learning
Counterfactual Plans under Distributional Ambiguity
Machine Learning