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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 1751–1800 of 1854 papers

TitleStatusHype
Learning from Demonstration with Weakly Supervised Disentanglement—0
Learning Interpretable Disentangled Representations using Adversarial VAEs—0
Learning long-term music representations via hierarchical contextual constraints—0
Learning Multi-Modal Brain Tumor Segmentation from Privileged Semi-Paired MRI Images with Curriculum Disentanglement Learning—0
An Identifiable Double VAE For Disentangled Representations—0
Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing—0
Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement—0
Learning Shape Representations for Clothing Variations in Person Re-Identification—0
Learning Source Disentanglement in Neural Audio Codec—0
Learning Sparse Disentangled Representations for Multimodal Exclusion Retrieval—0
Learning Sparse Latent Representations with the Deep Copula Information Bottleneck—0
Learning Speaker-Invariant Visual Features for Lipreading—0
Learning State Representations in Complex Systems with Multimodal Data—0
Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking—0
Learning to Disentangle Textual Representations and Attributes via Mutual Information—0
Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation—0
Learning to Generate Conditional Tri-plane for 3D-aware Expression Controllable Portrait Animation—0
SpectroscopyNet: Learning to pre-process Spectroscopy Signals without clean data—0
Towards Causal Representation Learning and Deconfounding from Indefinite Data—0
Learning utterance-level representations through token-level acoustic latents prediction for Expressive Speech Synthesis—0
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization—0
LEED: Label-Free Expression Editing via Disentanglement—0
Density-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement—0
Leveraging Color Channel Independence for Improved Unsupervised Object Detection—0
Leveraging Image-based Generative Adversarial Networks for Time Series Generation—0
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
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