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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 1601–1650 of 1854 papers

TitleStatusHype
GenDeF: Learning Generative Deformation Field for Video Generation—0
Generalized UAV Object Detection via Frequency Domain Disentanglement—0
Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains—0
Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains—0
Generating Geological Facies Models with Fidelity to Diversity and Statistics of Training Images using Improved Generative Adversarial Networks—0
Generating Multi-Sentence Abstractive Summaries of Interleaved Texts—0
Generating Semantic Adversarial Examples via Feature Manipulation—0
Generative Auto-Encoder: Non-adversarial Controllable Synthesis with Disentangled Exploration—0
Generative Deformable Radiance Fields for Disentangled Image Synthesis of Topology-Varying Objects—0
Generative Head-Mounted Camera Captures for Photorealistic Avatars—0
GenerTTS: Pronunciation Disentanglement for Timbre and Style Generalization in Cross-Lingual Text-to-Speech—0
GenSync: A Generalized Talking Head Framework for Audio-driven Multi-Subject Lip-Sync using 3D Gaussian Splatting—0
Geometric Disentanglement by Random Convex Polytopes—0
Geometric Disentanglement for Generative Latent Shape Models—0
Geometric Step Options with Jumps. Parity Relations, PIDEs, and Semi-Analytical Pricing—0
Geometry-Aware Network for Domain Adaptive Semantic Segmentation—0
Geometry-aware Single-image Full-body Human Relighting—0
GeoSplatting: Towards Geometry Guided Gaussian Splatting for Physically-based Inverse Rendering—0
GL-Disen: Global-Local disentanglement for unsupervised learning of graph-level representations—0
GLOWin: A Flow-based Invertible Generative Framework for Learning Disentangled Feature Representations in Medical Images—0
Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability Planning—0
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models—0
Graph Domain Adaptation: A Generative View—0
Graph Neural Operators for Classification of Spatial Transcriptomics Data—0
PGODE: Towards High-quality System Dynamics Modeling—0
GraphSAD: Learning Graph Representations with Structure-Attribute Disentanglement—0
Group-disentangled Representation Learning with Weakly-Supervised Regularization—0
Guided Variational Autoencoder for Disentanglement Learning—0
Guiding Video Prediction with Explicit Procedural Knowledge—0
HACA3: A Unified Approach for Multi-site MR Image Harmonization—0
Half-AVAE: Adversarial-Enhanced Factorized and Structured Encoder-Free VAE for Underdetermined Independent Component Analysis—0
Hand Avatar: Free-Pose Hand Animation and Rendering from Monocular Video—0
Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content From Parameterized Transformations—0
HASRD: Hierarchical Acoustic and Semantic Representation Disentanglement—0
Heredity-aware Child Face Image Generation with Latent Space Disentanglement—0
Heterogeneous Face Recognition via Face Synthesis with Identity-Attribute Disentanglement—0
Disentangle Before Anonymize: A Two-stage Framework for Attribute-preserved and Occlusion-robust De-identification—0
Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning—0
Hierarchical Disentangle Network for Object Representation Learning—0
Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search—0
Hierarchical Semantic Tree Concept Whitening for Interpretable Image Classification—0
How disentangled are your classification uncertainties?—0
Human-aligned Deep Learning: Explainability, Causality, and Biological Inspiration—0
An Identity-Preserved Framework for Human Motion Transfer—0
HYPNOS : Highly Precise Foreground-focused Diffusion Finetuning for Inanimate Objects—0
iCaps: An Interpretable Classifier via Disentangled Capsule Networks—0
Identifiable Feature Learning for Spatial Data with Nonlinear ICA—0
Identifying Informative Latent Variables Learned by GIN via Mutual Information—0
Identifying Interpretable Visual Features in Artificial and Biological Neural Systems—0
Disentanglement of Emotional Style and Speaker Identity for Expressive Voice Conversion—0
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