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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 1151–1175 of 1854 papers

TitleStatusHype
Unsupervised Low-Light Image Enhancement via Histogram Equalization PriorCode1
Hamiltonian latent operators for content and motion disentanglement in image sequencesCode0
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding—0
Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty LearningCode2
Neural Emotion Director: Speech-preserving semantic control of facial expressions in "in-the-wild" videosCode1
Compositional Transformers for Scene GenerationCode2
When Is Unsupervised Disentanglement Possible?—0
VoiceMixer: Adversarial Voice Style Mixup—0
Class-Disentanglement and Applications in Adversarial Detection and Defense—0
Towards Principled Disentanglement for Domain GeneralizationCode1
Image Style Transfer and Content-Style Disentanglement—0
Optimizing Latent Space Directions For GAN-based Local Image EditingCode1
3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and FacesCode1
Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GANCode1
Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance—0
Compositional Transformers for Scene GenerationCode2
Learning Disentangled Representations in Natural Language Definitions with Semantic Role Labeling Supervision—0
Interpretability on clinical analysis from Pattern Disentanglement Insight—0
Structural Characterization for Dialogue Disentanglement—0
Disentangled Sequence to Sequence Learning for Compositional Generalization—0
Self-supervised Re-renderable Facial Albedo Reconstruction from Single ImageCode1
Unsupervised Speech Enhancement with speech recognition embedding and disentanglement losses—0
Meta-Voice: Fast few-shot style transfer for expressive voice cloning using meta learning—0
Disentangling Physical Parameters for Anomalous Sound Detection Under Domain Shifts—0
SIG-VC: A Speaker Information Guided Zero-shot Voice Conversion System for Both Human Beings and MachinesCode0
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