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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 151160 of 1854 papers

TitleStatusHype
Barbie: Text to Barbie-Style 3D AvatarsCode1
DeepNoise: Signal and Noise Disentanglement based on Classifying Fluorescent Microscopy Images via Deep LearningCode1
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencodersCode1
Desiderata for Representation Learning: A Causal PerspectiveCode1
Audio-Driven Emotional Video PortraitsCode1
A Latent Transformer for Disentangled Face Editing in Images and VideosCode1
Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and TranslationCode1
DialBERT: A Hierarchical Pre-Trained Model for Conversation DisentanglementCode1
Cross-Modal Conceptualization in Bottleneck ModelsCode1
Deep Music Analogy Via Latent Representation DisentanglementCode1
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