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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 476–500 of 1854 papers

TitleStatusHype
DATA: Multi-Disentanglement based Contrastive Learning for Open-World Semi-Supervised Deepfake Attribution—0
Causal Intervention Framework for Variational Auto Encoder Mechanistic Interpretability—0
GenSync: A Generalized Talking Head Framework for Audio-driven Multi-Subject Lip-Sync using 3D Gaussian Splatting—0
Multimodal Graph Representation Learning for Robust Surgical Workflow Recognition with Adversarial Feature Disentanglement—0
Improving Editability in Image Generation with Layer-wise Memory—0
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language ModelsCode0
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation—0
DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition—0
A Controllable Appearance Representation for Flexible Transfer and Editing—0
Causal Disentanglement for Robust Long-tail Medical Image Generation—0
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
VideoSPatS: Video SPatiotemporal Splines for Disentangled Occlusion, Appearance and Motion Modeling and Editing—0
Learning Sparse Disentangled Representations for Multimodal Exclusion Retrieval—0
Efficient Model Editing with Task-Localized Sparse Fine-tuningCode0
ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion TransferCode0
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
NeuroLIP: Interpretable and Fair Cross-Modal Alignment of fMRI and Phenotypic Text—0
CMD-HAR: Cross-Modal Disentanglement for Wearable Human Activity Recognition—0
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