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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 1401–1450 of 1854 papers

TitleStatusHype
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
Metric Learning vs Classification for Disentangled Music Representation Learning—0
METTS: Multilingual Emotional Text-to-Speech by Cross-speaker and Cross-lingual Emotion Transfer—0
Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation—0
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation—0
Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness—0
Mixup Barcodes: Quantifying Geometric-Topological Interactions between Point Clouds—0
MLSD-GAN -- Generating Strong High Quality Face Morphing Attacks using Latent Semantic Disentanglement—0
MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation—0
Model-based occlusion disentanglement for image-to-image translation—0
Model Debiasing via Gradient-based Explanation on Representation—0
Modeling Human Driving Behavior through Generative Adversarial Imitation Learning—0
Modular Representations for Weak Disentanglement—0
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