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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 801–825 of 1854 papers

TitleStatusHype
Counterfactual Learning-Driven Representation Disentanglement for Search-Enhanced Recommendation—0
AvatarReX: Real-time Expressive Full-body Avatars—0
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder—0
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement—0
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax—0
Hierarchical Graph Convolutional Skeleton Transformer for Action Recognition—0
Automatic Speech Disentanglement for Voice Conversion using Rank Module and Speech Augmentation—0
GenDeF: Learning Generative Deformation Field for Video Generation—0
Identifying Interpretable Visual Features in Artificial and Biological Neural Systems—0
IdentityDP: Differential Private Identification Protection for Face Images—0
EDTalk: Efficient Disentanglement for Emotional Talking Head Synthesis—0
Counterfactual Explanation for Regression via Disentanglement in Latent Space—0
Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains—0
Generating Furry Cars: Disentangling Object Shape & Appearance across Multiple Domains—0
ED^4: Explicit Data-level Debiasing for Deepfake Detection—0
Generating Multi-Sentence Abstractive Summaries of Interleaved Texts—0
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities—0
Auto-Encoding Total Correlation Explanation—0
EASY: Emotion-aware Speaker Anonymization via Factorized Distillation—0
Correcting Flaws in Common Disentanglement Metrics—0
All-In-One: Facial Expression Transfer, Editing and Recognition Using A Single Network—0
Generative Deformable Radiance Fields for Disentangled Image Synthesis of Topology-Varying Objects—0
Dynamic Causal Disentanglement Model for Dialogue Emotion Detection—0
Dynamic Activation with Knowledge Distillation for Energy-Efficient Spiking NN Ensembles—0
A Unified Framework for Biphasic Facial Age Translation with Noisy-Semantic Guided Generative Adversarial Networks—0
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