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joint distribution
joint distribution
28 papers
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generative model
(2892)
diffusion model
(3751)
marginal distribution
(31)
contrastive learning
(4032)
representation learning
(6206)
copula model
(14)
text-to-image generation
(587)
multi-modal learning
(1278)
multimodal learning
(4645)
optimal transport
(948)
Papers
Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant”
AAAI 2025
CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation
AAAI 2024
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized Text-to-Image Generation
CVPR 2024
DiffATR: Diffusion-based Generative Modeling for Audio-Text Retrieval
INTERSPEECH 2024
Deriving Language Models from Masked Language Models
ACL 2023
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale
ICML 2023
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model
ICCV 2023
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier
AISTATS 2023
Plug-and-Play Recipe Generation with Content Planning
EMNLP 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification
CVPR 2022
Multi-source domain adaptation via weighted joint distributions optimal transport
UAI 2022
Matching Distributions between Model and Data: Cross-domain Knowledge Distillation for Unsupervised Domain Adaptation
ACL 2021
On the Generative Utility of Cyclic Conditionals
NIPS 2021
Neural Gibbs Sampling for Joint Event Argument Extraction
AACL 2020
Lifted Query Answering in Gaussian Bayesian Networks
PGM 2020
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence
NIPS 2020
Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels
EMNLP 2020
Fast and Flexible Inference of Joint Distributions from their Marginals
ICML 2019
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
ICML 2018
Deep Transfer Learning with Joint Adaptation Networks
ICML 2017
Joint distribution optimal transportation for domain adaptation
NIPS 2017
Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data
ICML 2014
Improved Multimodal Deep Learning with Variation of Information
NIPS 2014
Dirichlet Process Mixtures of Generalized Linear Models
JMLR 2011
Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs
JMLR 2011
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