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

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Showing 51–75 of 1854 papers

TitleStatusHype
Deep Music Analogy Via Latent Representation DisentanglementCode1
Deep Dimension Reduction for Supervised Representation LearningCode1
DeepNoise: Signal and Noise Disentanglement based on Classifying Fluorescent Microscopy Images via Deep LearningCode1
Adversarial Continual Learning for Multi-Domain Hippocampal SegmentationCode1
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and TreatmentCode1
Barbie: Text to Barbie-Style 3D AvatarsCode1
A Unified Model for Zero-shot Music Source Separation, Transcription and SynthesisCode1
Audio-Driven Emotional Video PortraitsCode1
Structured Multi-Track Accompaniment Arrangement via Style Prior ModellingCode1
Decoupled Textual Embeddings for Customized Image GenerationCode1
3D Face Modeling via Weakly-supervised Disentanglement Network joint Identity-consistency PriorCode1
Adversarial Graph DisentanglementCode1
Decompose to Adapt: Cross-domain Object Detection via Feature DisentanglementCode1
Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural NetworkCode1
Critical Learning Periods in Deep Neural NetworksCode1
Counterfactual Generative Modeling with Variational Causal InferenceCode1
Cross-Modal Conceptualization in Bottleneck ModelsCode1
Cooperative Sentiment Agents for Multimodal Sentiment AnalysisCode1
Asymmetry Disentanglement Network for Interpretable Acute Ischemic Stroke Infarct Segmentation in Non-Contrast CT ScansCode1
CoordGAN: Self-Supervised Dense Correspondences Emerge from GANsCode1
Cyclically Disentangled Feature Translation for Face Anti-spoofingCode1
Continuous Melody Generation via Disentangled Short-Term Representations and Structural ConditionsCode1
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencodersCode1
Contrastive Learning Inverts the Data Generating ProcessCode1
ARTS: Semi-Analytical Regressor using Disentangled Skeletal Representations for Human Mesh Recovery from VideosCode1
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