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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 726–750 of 1854 papers

TitleStatusHype
Conditional Mutual Information for Disentangled Representations in Reinforcement LearningCode1
Exploring Semantic Variations in GAN Latent Spaces via Matrix FactorizationCode0
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained ModelsCode1
ZS-MSTM: Zero-Shot Style Transfer for Gesture Animation driven by Text and Speech using Adversarial Disentanglement of Multimodal Style Encoding—0
Self-supervised Predictive Coding Models Encode Speaker and Phonetic Information in Orthogonal Subspaces—0
Model Debiasing via Gradient-based Explanation on Representation—0
Remembering What Is Important: A Factorised Multi-Head Retrieval and Auxiliary Memory Stabilisation Scheme for Human Motion Prediction—0
Enriching Disentanglement: From Logical Definitions to Quantitative Metrics—0
Preference or Intent? Double Disentangled Collaborative Filtering—0
When Search Meets Recommendation: Learning Disentangled Search Representation for RecommendationCode1
Intrinsic statistical separation of subpopulations in heterogeneous collective motion via dimensionality reductionCode0
Adversarial Speaker Disentanglement Using Unannotated External Data for Self-supervised Representation Based Voice Conversion—0
Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes—0
ProtoVAE: Prototypical Networks for Unsupervised Disentanglement—0
Multi-modal Visual Understanding with Prompts for Semantic Information Disentanglement of Image—0
Multi-level Temporal-channel Speaker Retrieval for Zero-shot Voice Conversion—0
A Category-theoretical Meta-analysis of Definitions of Disentanglement—0
AvatarReX: Real-time Expressive Full-body Avatars—0
LEO: Generative Latent Image Animator for Human Video SynthesisCode1
Retraining A Graph-based Recommender with Interests Disentanglement—0
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image GenerationCode1
A multimodal dynamical variational autoencoder for audiovisual speech representation learningCode0
Towards Causal Representation Learning and Deconfounding from Indefinite Data—0
Disentangled Contrastive Collaborative FilteringCode1
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing—0
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