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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 1621–1630 of 1854 papers

TitleStatusHype
Disentangling Factors of Variations Using Few Labels—0
One-Shot Identity-Preserving Portrait Reenactment—0
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation—0
Pseudo-healthy synthesis with pathology disentanglement and adversarial learningCode0
Compositionality and Generalization in Emergent Languages—0
Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis—0
Neutralizing Gender Bias in Word Embedding with Latent Disentanglement and Counterfactual Generation—0
AI Giving Back to Statistics? Discovery of the Coordinate System of Univariate Distributions by Beta Variational Autoencoder—0
Understanding (Non-)Robust Feature Disentanglement and the Relationship Between Low- and High-Dimensional Adversarial AttacksCode0
Model-based occlusion disentanglement for image-to-image translation—0
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