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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 101–125 of 1854 papers

TitleStatusHype
UniK3D: Universal Camera Monocular 3D EstimationCode4
Disentangled and Interpretable Multimodal Attention Fusion for Cancer Survival Prediction—0
PoseTraj: Pose-Aware Trajectory Control in Video Diffusion—0
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles—0
CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity QuantificationCode0
Free-Lunch Color-Texture Disentanglement for Stylized Image Generation—0
Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion—0
Computation Mechanism Behind LLM Position Generalization—0
Att-Adapter: A Robust and Precise Domain-Specific Multi-Attributes T2I Diffusion Adapter via Conditional Variational Autoencoder—0
StyleMorpheus: A Style-Based 3D-Aware Morphable Face ModelCode0
Remote Photoplethysmography in Real-World and Extreme Lighting Scenarios—0
Cognitive Disentanglement for Referring Multi-Object Tracking—0
4D-ACFNet: A 4D Attention Mechanism-Based Prognostic Framework for Colorectal Cancer Liver Metastasis Integrating Multimodal Spatiotemporal Features—0
SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability—0
Attention Hijackers: Detect and Disentangle Attention Hijacking in LVLMs for Hallucination Mitigation—0
Disentangled World Models: Learning to Transfer Semantic Knowledge from Distracting Videos for Reinforcement Learning—0
CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement—0
STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal ClassificationCode1
Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled RepresentationCode0
Post-Hoc Concept Disentanglement: From Correlated to Isolated Concept RepresentationsCode0
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context ScenariosCode0
NeRF-3DTalker: Neural Radiance Field with 3D Prior Aided Audio Disentanglement for Talking Head Synthesis—0
Dynamic Activation with Knowledge Distillation for Energy-Efficient Spiking NN Ensembles—0
Understanding and Rectifying Safety Perception Distortion in VLMs—0
Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series ForecastingCode1
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