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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 1091–1100 of 1854 papers

TitleStatusHype
Playmate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion—0
PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping—0
PointBA: Towards Backdoor Attacks in 3D Point Cloud—0
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation—0
Pose-aware Adversarial Domain Adaptation for Personalized Facial Expression Recognition—0
PoseTraj: Pose-Aware Trajectory Control in Video Diffusion—0
Predefined Prototypes for Intra-Class Separation and Disentanglement—0
Predicting Human Mobility via Self-supervised Disentanglement Learning—0
Preference or Intent? Double Disentangled Collaborative Filtering—0
Preliminary theoretical troubleshooting in Variational Autoencoder—0
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