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Disentanglement

This is an approach to solve a diverse set of tasks in a data efficient manner by disentangling (or isolating ) the underlying structure of the main problem into disjoint parts of its representations. This disentanglement can be done by focussing on the "transformation" properties of the world(main problem)

Papers

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Showing 1761–1770 of 1854 papers

TitleStatusHype
Disentangling Style and Content in Anime Illustrations—0
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal RegularizationCode0
Learning Discrete and Continuous Factors of Data via Alternating DisentanglementCode0
Additive Adversarial Learning for Unbiased AuthenticationCode0
Illumination-Adaptive Person Re-identification—0
Disentangling Content and Style via Unsupervised Geometry DistillationCode0
Unified Adversarial Invariance—0
Disentangling Factors of Variation Using Few Labels—0
Multiple-Attribute Text Rewriting—0
ISA-VAE: Independent Subspace Analysis with Variational Autoencoders—0
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