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Found 7 papers, 0 papers with code
UTSGAN: Unseen Transition Suss GAN for Transition-Aware Image-to-image Translation
Furthermore, we propose the use of transition consistency, defined on the transition variable, to enable regularization of consistency on unobserved translations, which is omitted in previous works.
Generative Transition Mechanism to Image-to-Image Translation via Encoded Transformation
To benefit the generalization ability of the translation model, we propose transition encoding to facilitate explicit regularization of these two {kinds} of consistencies on unseen transitions.
Multi-view Alignment and Generation in CCA via Consistent Latent Encoding
Multi-view alignment, achieving one-to-one correspondence of multi-view inputs, is critical in many real-world multi-view applications, especially for cross-view data analysis problems.
Probabilistic CCA with Implicit Distributions
Although some works have studied probabilistic interpretation for CCA, these models still require the explicit form of the distributions to achieve a tractable solution for the inference.
A Survey on Multi-output Learning
Multi-output learning aims to simultaneously predict multiple outputs given an input.
Canonical Correlation Analysis with Implicit Distributions
Based on this objective, we present an implicit probabilistic formulation for CCA, named Implicit CCA (ICCA), which provides a flexible framework to design CCA extensions with implicit distributions.
Label Embedding with Partial Heterogeneous Contexts
In this paper, we propose a general Partial Heterogeneous Context Label Embedding (PHCLE) framework to address these challenges.
