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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 1051–1075 of 1854 papers

TitleStatusHype
ContentVec: An Improved Self-Supervised Speech Representation by Disentangling SpeakersCode2
A Deeper Look into Aleatoric and Epistemic Uncertainty Disentanglement—0
StyleT2F: Generating Human Faces from Textual Description Using StyleGAN2Code0
Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection—0
Causal Disentanglement with Network Information for Debiased Recommendations—0
An Identity-Preserved Framework for Human Motion Transfer—0
XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generation—0
Physically Disentangled RepresentationsCode0
Towards efficient representation identification in supervised learningCode0
ShowFace: Coordinated Face Inpainting with Memory-Disentangled Refinement Networks—0
Disentangled Speech Representation Learning Based on Factorized Hierarchical Variational Autoencoder with Self-Supervised Objective—0
Neural Convolutional Surfaces—0
IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images—0
Shape-Pose Disentanglement using SE(3)-equivariant Vector NeuronsCode1
Learning Disentangled Semantic Representations for Zero-Shot Cross-Lingual Transfer in Multilingual Machine Reading ComprehensionCode1
Learning Disentangled Representations of Negation and UncertaintyCode0
TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial EditingCode1
Robust Disentangled Variational Speech Representation Learning for Zero-shot Voice ConversionCode1
High-resolution Face Swapping via Latent Semantics DisentanglementCode1
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANsCode1
Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images—0
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular DepthCode1
GIRAFFE HD: A High-Resolution 3D-aware Generative ModelCode1
SpeechSplit 2.0: Unsupervised speech disentanglement for voice conversion Without tuning autoencoder BottlenecksCode1
Linking Emergent and Natural Languages via Corpus TransferCode1
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