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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 1441–1450 of 1854 papers

TitleStatusHype
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy PreservationCode0
Conditional Generation of Medical Images via Disentangled Adversarial Inference—0
Variational Interaction Information Maximization for Cross-domain DisentanglementCode1
Learning an Animatable Detailed 3D Face Model from In-The-Wild ImagesCode2
Multi-Instrumentalist Net: Unsupervised Generation of Music from Body Movements—0
MakeupBag: Disentangling Makeup Extraction and Application—0
Phonetic Posteriorgrams based Many-to-Many Singing Voice Conversion via Adversarial TrainingCode1
Mutual Information Maximization on Disentangled Representations for Differential Morph Detection—0
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization—0
XHate-999: Analyzing and Detecting Abusive Language Across Domains and Languages—0
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