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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 151–175 of 1854 papers

TitleStatusHype
beta-VAE: Learning Basic Visual Concepts with a Constrained Variational FrameworkCode1
DEVIAS: Learning Disentangled Video Representations of Action and SceneCode1
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencodersCode1
Beyond Prototypes: Semantic Anchor Regularization for Better Representation LearningCode1
Audio-Driven Emotional Video PortraitsCode1
A Latent Transformer for Disentangled Face Editing in Images and VideosCode1
DID-M3D: Decoupling Instance Depth for Monocular 3D Object DetectionCode1
DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-DomainCode1
Critical Learning Periods in Deep Neural NetworksCode1
BoIR: Box-Supervised Instance Representation for Multi-Person Pose EstimationCode1
A Unified Model for Zero-shot Music Source Separation, Transcription and SynthesisCode1
Discover the Unknown Biased Attribute of an Image ClassifierCode1
AlphaPre: Amplitude-Phase Disentanglement Model for Precipitation NowcastingCode1
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image GenerationCode1
Adaptive Nonlinear Latent Transformation for Conditional Face EditingCode1
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest RecommendationCode1
3D-IDS: Doubly Disentangled Dynamic Intrusion DetectionCode1
Disentangled Face Attribute Editing via Instance-Aware Latent Space SearchCode1
Barbie: Text to Barbie-Style 3D AvatarsCode1
3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and FacesCode1
Disentangled Self-Supervision in Sequential RecommendersCode1
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)Code1
Disentanglement via Latent QuantizationCode1
Disentangle then Parse:Night-time Semantic Segmentation with Illumination DisentanglementCode1
Cross-Modal Conceptualization in Bottleneck ModelsCode1
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