optimal transport

Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport ACL 2023 Hierarchical Policy Blending As Optimal Transport L4DC 2023 Hierarchical Sliced Wasserstein Distance ICLR 2023 Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection NeurIPS 2023 HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search CVPR 2023 How to Estimate Model Transferability of Pre-Trained Speech Models? Interspeech 2023 Importance Sparsification for Sinkhorn Algorithm JMLR 2023 Improved Rate of First Order Algorithms for Entropic Optimal Transport AISTATS 2023 Improving Adversarial Robustness to Sensitivity and Invariance Attacks with Deep Metric Learning (Student Abstract) AAAI 2023 Improving word mover’s distance by leveraging self-attention matrix EMNLP 2023 Indeterminacy in Generative Models: Characterization and Strong Identifiability AISTATS 2023 InfoOT: Information Maximizing Optimal Transport ICML 2023 Instance-Dependent Generalization Bounds via Optimal Transport JMLR 2023 Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs ICML 2023 Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy NeurIPS 2023 Jointly Imputing Multi-View Data with Optimal Transport AAAI 2023 Kernel Neural Optimal Transport ICLR 2023 Large-scale similarity search with Optimal Transport EMNLP 2023 Latent Processes Identification From Multi-View Time Series IJCAI 2023 Latent Traversals in Generative Models as Potential Flows ICML 2023 Learning with Stochastic Orders ICLR 2023 LICO: Explainable Models with Language-Image COnsistency NeurIPS 2023 Linear optimal partial transport embedding ICML 2023 MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition ACL 2023 Markovian Sliced Wasserstein Distances: Beyond Independent Projections NeurIPS 2023