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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

Showing 15811590 of 1854 papers

TitleStatusHype
Variance Constrained Autoencoding0
Disentangling Factors of Variations Using Few Labels0
Editing in Style: Uncovering the Local Semantics of GANsCode1
Disentangled Image Generation Through Structured Noise InjectionCode1
One-Shot Identity-Preserving Portrait Reenactment0
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive LearningCode1
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation0
Pseudo-healthy synthesis with pathology disentanglement and adversarial learningCode0
Compositionality and Generalization in Emergent Languages0
CausalVAE: Structured Causal Disentanglement in Variational AutoencoderCode2
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