conftrace_

optimal transport

1,187 papers

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Also known as

OPT OT

Co-occurring keywords · papers mentioning both

wasserstein distance (162) domain adaptation (90) generative model (65) sinkhorn algorithm (57) entropic regularization (52) wasserstein barycenter (46) unsupervised learning (42) representation learning (42) diffusion model (42) generative adversarial network (42)

Papers

Double-Bounded Optimal Transport for Advanced Clustering and Classification AAAI 2024 Dynamic Conditional Optimal Transport through Simulation-Free Flows NeurIPS 2024 Efficient Sketches for Training Data Attribution and Studying the Loss Landscape NeurIPS 2024 Energy-Guided Continuous Entropic Barycenter Estimation for General Costs NeurIPS 2024 Energy-guided Entropic Neural Optimal Transport ICLR 2024 Entropic Gromov-Wasserstein Distances: Stability and Algorithms JMLR 2024 Evaluate then Cooperate: Shapley-based View Cooperation Enhancement for Multi-view Clustering NeurIPS 2024 Exploiting Geometry for Treatment Effect Estimation via Optimal Transport AAAI 2024 FairCLIP: Harnessing Fairness in Vision-Language Learning CVPR 2024 Fairness in Social Influence Maximization via Optimal Transport NeurIPS 2024 Fast 1-Wasserstein distance approximations using greedy strategies AISTATS 2024 Fast and Interpretable Face Identification for Out-of-Distribution Data Using Vision Transformers WACV 2024 FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model NeurIPS 2024 Fast Stealthily Biased Sampling Using Sliced Wasserstein Distance ACML 2024 FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning CVPR 2024 Feature-aligned N-BEATS with Sinkhorn divergence ICLR 2024 Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection AAAI 2024 Federated Wasserstein Distance ICLR 2024 Functional optimal transport: regularized map estimation and domain adaptation for functional data JMLR 2024 GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling NeurIPS 2024 Generalized Sobolev Transport for Probability Measures on a Graph ICML 2024 Generalized Variational Inference via Optimal Transport AAAI 2024 GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics NeurIPS 2024 Geometry-Aware Instrumental Variable Regression ICML 2024 GeONet: a neural operator for learning the Wasserstein geodesic UAI 2024