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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 291–300 of 1854 papers

TitleStatusHype
An Image is Worth More Than a Thousand Words: Towards Disentanglement in the WildCode1
Unsupervised Skill Discovery with Bottleneck Option LearningCode1
Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image SegmentationCode1
A Latent Transformer for Disentangled Face Editing in Images and VideosCode1
Volume Rendering of Neural Implicit SurfacesCode1
L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute EditingCode1
Information Bottleneck Disentanglement for Identity SwappingCode1
A Max-Min Entropy Framework for Reinforcement LearningCode1
VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice ConversionCode1
Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICACode1
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