SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1776–1800 of 1854 papers

TitleStatusHype
Leveraging Neural Representations for Audio Manipulation—0
Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning—0
Linear causal disentanglement via higher-order cumulants—0
Linear Disentangled Representations and Unsupervised Action Estimation—0
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models—0
Data standardization for robust lip sync—0
SPEAK: Speech-Driven Pose and Emotion-Adjustable Talking Head Generation—0
LLM-driven Multimodal and Multi-Identity Listening Head Generation—0
LM-VC: Zero-shot Voice Conversion via Speech Generation based on Language Models—0
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction—0
LSCodec: Low-Bitrate and Speaker-Decoupled Discrete Speech Codec—0
Longitudinal Self-Supervised Learning—0
Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder—0
Make a Face: Towards Arbitrary High Fidelity Face Manipulation—0
MakeupBag: Disentangling Makeup Extraction and Application—0
Make Your Actor Talk: Generalizable and High-Fidelity Lip Sync with Motion and Appearance Disentanglement—0
Manifold Learning and Alignment with Generative Adversarial Networks—0
Manipulating Medical Image Translation with Manifold Disentanglement—0
Many-to-Many Voice Conversion based Feature Disentanglement using Variational Autoencoder—0
MarioNETte: Few-shot Face Reenactment Preserving Identity of Unseen Targets—0
Measuring Orthogonality in Representations of Generative Models—0
Measuring the Effect of Causal Disentanglement on the Adversarial Robustness of Neural Network Models—0
Merging and Disentangling Views in Visual Reinforcement Learning for Robotic Manipulation—0
Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation—0
Meta-Voice: Fast few-shot style transfer for expressive voice cloning using meta learning—0
Show:102550
← PrevPage 72 of 75Next →

No leaderboard results yet.