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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 751–800 of 1854 papers

TitleStatusHype
A Comprehensive Survey on Underwater Image Enhancement Based on Deep LearningCode0
Metadata-guided Feature Disentanglement for Functional GenomicsCode0
AttenCraft: Attention-guided Disentanglement of Multiple Concepts for Text-to-Image CustomizationCode0
3DitScene: Editing Any Scene via Language-guided Disentangled Gaussian Splatting—0
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning—0
DualContrast: Unsupervised Disentangling of Content and Transformations with Implicit Parameterization—0
VOODOO XP: Expressive One-Shot Head Reenactment for VR Telepresence—0
ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow NetworksCode0
Boost UAV-based Ojbect Detection via Scale-Invariant Feature Disentanglement and Adversarial Learning—0
FreeTuner: Any Subject in Any Style with Training-free Diffusion—0
Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation—0
RemoCap: Disentangled Representation Learning for Motion Capture—0
DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for RecommendationCode0
FINED: Feed Instance-Wise Information Need with Essential and Disentangled Parametric Knowledge from the Past—0
Quantifying In-Context Reasoning Effects and Memorization Effects in LLMs—0
SPEAK: Speech-Driven Pose and Emotion-Adjustable Talking Head Generation—0
Fair Graph Representation Learning via Sensitive Attribute DisentanglementCode0
Multivariate Bayesian Last Layer for Regression: Uncertainty Quantification and Disentanglement—0
Disentangling Exploration from Exploitation—0
Contrastive Learning Method for Sequential Recommendation based on Multi-Intention Disentanglement—0
Revisiting Multi-modal Emotion Learning with Broad State Space Models and Probability-guidance Fusion—0
TELA: Text to Layer-wise 3D Clothed Human Generation—0
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities—0
MotionMaster: Training-free Camera Motion Transfer For Video Generation—0
DSDRNet: Disentangling Representation and Reconstruct Network for Domain Generalization—0
Multi-view Disentanglement for Reinforcement Learning with Multiple CamerasCode0
The Branch Not Taken: Predicting Branching in Online Conversations—0
Double Mixture: Towards Continual Event Detection from SpeechCode0
MLSD-GAN -- Generating Strong High Quality Face Morphing Attacks using Latent Semantic Disentanglement—0
Multi-view X-ray Image Synthesis with Multiple Domain Disentanglement from CT Scans—0
Reuse out-of-year data to enhance land cover mappingvia feature disentanglement and contrastive learning—0
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation—0
Cross-Platform Hate Speech Detection with Weakly Supervised Causal Disentanglement—0
Select and Reorder: A Novel Approach for Neural Sign Language Production—0
MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation—0
3D Face Tracking from 2D Video through Iterative Dense UV to Image Flow—0
Move Anything with Layered Scene Diffusion—0
Multi-modal Document Presentation Attack Detection With Forensics Trace Disentanglement—0
AUEditNet: Dual-Branch Facial Action Unit Intensity Manipulation with Implicit Disentanglement—0
Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement—0
Reference-Based 3D-Aware Image Editing with Triplanes—0
EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis—0
Learning to Generate Conditional Tri-plane for 3D-aware Expression Controllable Portrait Animation—0
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Mesh Variational Autoencoder with Contrastive LearningCode0
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation—0
DSFNet: Learning Disentangled Scenario Factorization for Multi-Scenario Route Ranking—0
Review-Based Hyperbolic Cross-Domain RecommendationCode0
Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics—0
WordRobe: Text-Guided Generation of Textured 3D Garments—0
Activity-Biometrics: Person Identification from Daily ActivitiesCode0
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