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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 751–775 of 1854 papers

TitleStatusHype
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing—0
Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks—0
StyleGenes: Discrete and Efficient Latent Distributions for GANs—0
Visual Referential Games Further the Emergence of Disentangled Representations—0
UCF: Uncovering Common Features for Generalizable Deepfake DetectionCode3
Reformulating CTR Prediction: Learning Invariant Feature Interactions for RecommendationCode1
Latent Traversals in Generative Models as Potential FlowsCode1
NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic NavigationCode0
Not Only Generative Art: Stable Diffusion for Content-Style Disentanglement in Art AnalysisCode0
Causal Flow-based Variational Auto-Encoder for Disentangled Causal Representation Learning—0
UPGPT: Universal Diffusion Model for Person Image Generation, Editing and Pose TransferCode1
Causal Disentangled Variational Auto-Encoder for Preference Understanding in Recommendation—0
Set-Based Face Recognition Beyond Disentanglement: Burstiness Suppression With Variance VocabularyCode0
ALADIN-NST: Self-supervised disentangled representation learning of artistic style through Neural Style Transfer—0
Leveraging Neural Representations for Audio Manipulation—0
TC-VAE: Uncovering Out-of-Distribution Data Generative Factors—0
Hierarchical Disentanglement-Alignment Network for Robust SAR Vehicle RecognitionCode1
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule ClassificationCode0
Correcting Flaws in Common Disentanglement Metrics—0
Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search—0
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue DistributionCode1
Disentangled Pre-training for Image MattingCode0
Fair-CDA: Continuous and Directional Augmentation for Group Fairness—0
Directional Connectivity-based Segmentation of Medical ImagesCode1
Forget-Me-Not: Learning to Forget in Text-to-Image Diffusion ModelsCode1
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