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Methodology
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optimal transport
945 papers
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Also known as
OPT
MOT
OT
AOT
UOT
Co-occurring keywords
wasserstein distance
(417)
domain adaptation
(4578)
sinkhorn algorithm
(63)
entropic regularization
(53)
generative model
(2889)
unsupervised learning
(3255)
generative adversarial network
(1939)
wasserstein barycenter
(46)
representation learning
(6174)
probability distribution
(265)
Papers
Implanting LLM’s Knowledge via Reading Comprehension Tree for Toxicity Detection
ACL 2024
Simulation-Free Schrödinger Bridges via Score and Flow Matching
AISTATS 2024
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport
AISTATS 2024
Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems
AAAI 2024
Generalized Variational Inference via Optimal Transport
AAAI 2024
Optimal Transport with Cyclic Symmetry
AAAI 2024
Analysis of Kernel Mirror Prox for Measure Optimization
AISTATS 2024
Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem
NIPS 2024
Hyperspherical Multi-Prototype with Optimal Transport for Event Argument Extraction
ACL 2024
Integrating Speech Self-Supervised Learning Models and Large Language Models for ASR
INTERSPEECH 2024
Policy Learning for Localized Interventions from Observational Data
AISTATS 2024
Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking
ACL 2024
OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection
ACL 2024
Learning Geometry-Aware Representations for New Intent Discovery
ACL 2024
Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification
NIPS 2024
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation
AAAI 2024
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport
AAAI 2024
Validating Climate Models with Spherical Convolutional Wasserstein Distance
NIPS 2024
Double-Bounded Optimal Transport for Advanced Clustering and Classification
AAAI 2024
Fast 1-Wasserstein distance approximations using greedy strategies
AISTATS 2024
TSDS: Data Selection for Task-Specific Model Finetuning
NIPS 2024
Optimal Transport with Tempered Exponential Measures
AAAI 2024
Gradual Domain Adaptation: Theory and Algorithms
JMLR 2024
Understanding Entropic Regularization in GANs
JMLR 2024
Your contrastive learning problem is secretly a distribution alignment problem
NIPS 2024
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