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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 76–100 of 1854 papers

TitleStatusHype
Human-aligned Deep Learning: Explainability, Causality, and Biological Inspiration—0
ODHSR: Online Dense 3D Reconstruction of Humans and Scenes from Monocular Videos—0
DMAGaze: Gaze Estimation Based on Feature Disentanglement and Multi-Scale Attention—0
VAE-based Feature Disentanglement for Data Augmentation and Compression in Generalized GNSS Interference Classification—0
Deconfounded Reasoning for Multimodal Fake News Detection via Causal Intervention—0
TokenMotion: Decoupled Motion Control via Token Disentanglement for Human-centric Video Generation—0
Steering CLIP's vision transformer with sparse autoencoders—0
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical ImagingCode1
VideoSPatS: Video SPatiotemporal Splines for Disentangled Occlusion, Appearance and Motion Modeling and Editing—0
Learning Sparse Disentangled Representations for Multimodal Exclusion Retrieval—0
ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion TransferCode0
Efficient Model Editing with Task-Localized Sparse Fine-tuningCode0
EagleVision: Object-level Attribute Multimodal LLM for Remote SensingCode1
Language-Guided Trajectory Traversal in Disentangled Stable Diffusion Latent Space for Factorized Medical Image Generation—0
Unsupervised Feature Disentanglement and Augmentation Network for One-class Face Anti-spoofing—0
DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-IDCode1
CMD-HAR: Cross-Modal Disentanglement for Wearable Human Activity Recognition—0
NeuroLIP: Interpretable and Fair Cross-Modal Alignment of fMRI and Phenotypic Text—0
Exploring Disentangled and Controllable Human Image Synthesis: From End-to-End to Stage-by-Stage—0
SLIP: Spoof-Aware One-Class Face Anti-Spoofing with Language Image PretrainingCode0
DisentTalk: Cross-lingual Talking Face Generation via Semantic Disentangled Diffusion Model—0
Fast and Physically-based Neural Explicit Surface for Relightable Human Avatars—0
Seeing Speech and Sound: Distinguishing and Locating Audios in Visual Scenes—0
Re-HOLD: Video Hand Object Interaction Reenactment via adaptive Layout-instructed Diffusion Model—0
Federated Cross-Domain Click-Through Rate Prediction With Large Language Model Augmentation—0
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