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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 101–110 of 1854 papers

TitleStatusHype
PoseTraj: Pose-Aware Trajectory Control in Video Diffusion—0
Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction—0
UniK3D: Universal Camera Monocular 3D EstimationCode4
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles—0
CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity QuantificationCode0
Free-Lunch Color-Texture Disentanglement for Stylized Image Generation—0
Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion—0
Computation Mechanism Behind LLM Position Generalization—0
Att-Adapter: A Robust and Precise Domain-Specific Multi-Attributes T2I Diffusion Adapter via Conditional Variational Autoencoder—0
StyleMorpheus: A Style-Based 3D-Aware Morphable Face ModelCode0
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