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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 851–875 of 1854 papers

TitleStatusHype
eVAE: Evolutionary Variational AutoencoderCode2
StyleID: Identity Disentanglement for Anonymizing FacesCode1
Improving Continuous Sign Language Recognition with Consistency Constraints and Signer RemovalCode1
StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer—0
TCFimt: Temporal Counterfactual Forecasting from Individual Multiple Treatment Perspective—0
Feature Disentanglement Learning with Switching and Aggregation for Video-based Person Re-Identification—0
Uncovering the Disentanglement Capability in Text-to-Image Diffusion ModelsCode1
Retrieval-based Disentangled Representation Learning with Natural Language Supervision—0
Disentangling Prosody Representations with Unsupervised Speech Reconstruction—0
Zero-Shot Accent Conversion using Pseudo Siamese Disentanglement Network—0
HACA3: A Unified Approach for Multi-site MR Image Harmonization—0
Orthogonal SVD Covariance Conditioning and Latent DisentanglementCode1
LADIS: Language Disentanglement for 3D Shape EditingCode1
Ego-Body Pose Estimation via Ego-Head Pose EstimationCode1
iQuery: Instruments as Queries for Audio-Visual Sound SeparationCode1
Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing—0
Cyclically Disentangled Feature Translation for Face Anti-spoofingCode1
PaDPaF: Partial Disentanglement with Partially-Federated GANsCode0
RANA: Relightable Articulated Neural Avatars—0
Domain-General Crowd Counting in Unseen ScenariosCode1
MouseGAN++: Unsupervised Disentanglement and Contrastive Representation for Multiple MRI Modalities Synthesis and Structural Segmentation of Mouse Brain—0
Learning Disentangled Label Representations for Multi-label Classification—0
Geometry-Aware Network for Domain Adaptive Semantic Segmentation—0
CLIPascene: Scene Sketching with Different Types and Levels of Abstraction—0
Linear Causal Disentanglement via InterventionsCode1
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