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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 281–290 of 1854 papers

TitleStatusHype
VI3DRM:Towards meticulous 3D Reconstruction from Sparse Views via Photo-Realistic Novel View Synthesis—0
Realistic and Efficient Face Swapping: A Unified Approach with Diffusion ModelsCode2
Structure-Aware Single-Source Generalization with Pixel-Level Disentanglement for Joint Optic Disc and Cup SegmentationCode1
Quantifying and Enabling the Interpretability of CLIP-like Models—0
Estimating the Completeness of Discrete Speech Units—0
CRADLE-VAE: Enhancing Single-Cell Gene Perturbation Modeling with Counterfactual Reasoning-based Artifact DisentanglementCode0
Celcomen: spatial causal disentanglement for single-cell and tissue perturbation modelingCode1
Disentangled Representations for Short-Term and Long-Term Person Re-Identification—0
NPU-NTU System for Voice Privacy 2024 Challenge—0
Speaker and Style Disentanglement of Speech Based on Contrastive Predictive Coding Supported Factorized Variational Autoencoder—0
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