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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 1101–1110 of 1854 papers

TitleStatusHype
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective—0
Feature Disentanglement Learning with Switching and Aggregation for Video-based Person Re-Identification—0
Retrieval-based Disentangled Representation Learning with Natural Language Supervision—0
Disentangling Prosody Representations with Unsupervised Speech Reconstruction—0
Zero-Shot Accent Conversion using Pseudo Siamese Disentanglement Network—0
HACA3: A Unified Approach for Multi-site MR Image Harmonization—0
Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing—0
PaDPaF: Partial Disentanglement with Partially-Federated GANsCode0
RANA: Relightable Articulated Neural Avatars—0
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain—0
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