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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

Showing 301310 of 1854 papers

TitleStatusHype
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention NetworkCode1
Continual Learning for Text Classification with Information Disentanglement Based RegularizationCode1
Continuous Melody Generation via Disentangled Short-Term Representations and Structural ConditionsCode1
Disentangled Contrastive Collaborative FilteringCode1
CluCDD:Contrastive Dialogue Disentanglement via ClusteringCode1
Disentangled Graph Collaborative FilteringCode1
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencodersCode1
Contrastive Learning Inverts the Data Generating ProcessCode1
InfoGAN-CR: Disentangling Generative Adversarial Networks with Contrastive RegularizersCode1
Disentangling Textual and Acoustic Features of Neural Speech RepresentationsCode1
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