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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 926–950 of 1854 papers

TitleStatusHype
On Text Style Transfer via Style Masked Language Models—0
AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video AvatarsCode1
Formal Semantic Geometry over Transformer-based Variational AutoEncoder—0
GAN You Hear Me? Reclaiming Unconditional Speech Synthesis from Diffusion ModelsCode1
TopicVAE: Topic-aware Disentanglement Representation Learning for Enhanced RecommendationCode0
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable, and Controllable Text-Guided Face Manipulation—0
Multi-View Independent Component Analysis with Shared and Individual Sources—0
Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting TexturesCode0
Evaluating Disentanglement in Generative Models Without Knowledge of Latent Factors—0
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language—0
Zero-Shot Policy Transfer with Disentangled Task Representation of Meta-Reinforcement Learning—0
DCI-ES: An Extended Disentanglement Framework with Connections to IdentifiabilityCode0
Disentanglement with Biological Constraints: A Theory of Functional Cell Types—0
Training β-VAE by Aggregating a Learned Gaussian Posterior with a Decoupled DecoderCode0
StyleMask: Disentangling the Style Space of StyleGAN2 for Neural Face ReenactmentCode1
Semi-Blind Source Separation with Learned ConstraintsCode0
Modeling Content-Emotion Duality via Disentanglement for Empathetic ConversationCode0
Neural State-Space Modeling with Latent Causal-Effect DisentanglementCode0
S^2-Transformer for Mask-Aware Hyperspectral Image ReconstructionCode1
Learning Disentangled Representations for Natural Language Definitions—0
NashAE: Disentangling Representations through Adversarial Covariance MinimizationCode0
SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping—0
LatentGaze: Cross-Domain Gaze Estimation through Gaze-Aware Analytic Latent Code ManipulationCode1
Graph Contrastive Learning with Cross-view Reconstruction—0
Disentangling Shape and Pose for Object-Centric Deep Active Inference Models—0
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