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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 311320 of 1854 papers

TitleStatusHype
Audio-Driven Emotional Video PortraitsCode1
Factorizing Content and Budget Decisions in Abstractive Summarization of Long DocumentsCode1
A Latent Transformer for Disentangled Face Editing in Images and VideosCode1
FairDisCo: Fairer AI in Dermatology via Disentanglement Contrastive LearningCode1
Few shot font generation via transferring similarity guided global style and quantization local styleCode1
FIND: An Unsupervised Implicit 3D Model of Articulated Human FeetCode1
CluCDD:Contrastive Dialogue Disentanglement via ClusteringCode1
DialBERT: A Hierarchical Pre-Trained Model for Conversation DisentanglementCode1
DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature SpaceCode1
DEVIAS: Learning Disentangled Video Representations of Action and SceneCode1
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