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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 301–350 of 1854 papers

TitleStatusHype
JOKR: Joint Keypoint Representation for Unsupervised Cross-Domain Motion RetargetingCode1
TextStyleBrush: Transfer of Text Aesthetics from a Single ExampleCode1
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability PerspectiveCode1
Geometry-Consistent Neural Shape Representation with Implicit Displacement FieldsCode1
Self-Supervised Learning with Data Augmentations Provably Isolates Content from StyleCode1
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object RepresentationsCode1
Commutative Lie Group VAE for Disentanglement LearningCode1
Disentangled Face Attribute Editing via Instance-Aware Latent Space SearchCode1
Mask-Guided Discovery of Semantic Manifolds in Generative ModelsCode1
One Shot Face Swapping on MegapixelsCode1
Disentangling Noise from Images: A Flow-Based Image Denoising Neural NetworkCode1
Exploring Disentanglement with Multilingual and Monolingual VQ-VAECode1
Editable Free-viewpoint Video Using a Layered Neural RepresentationCode1
Discover the Unknown Biased Attribute of an Image ClassifierCode1
LGD-GCN: Local and Global Disentangled Graph Convolutional NetworksCode1
MeshTalk: 3D Face Animation from Speech using Cross-Modality DisentanglementCode1
Audio-Driven Emotional Video PortraitsCode1
Is Disentanglement all you need? Comparing Concept-based & Disentanglement ApproachesCode1
Continual Learning for Text Classification with Information Disentanglement Based RegularizationCode1
Where and What? Examining Interpretable Disentangled RepresentationsCode1
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized ExpertsCode1
Speech Resynthesis from Discrete Disentangled Self-Supervised RepresentationsCode1
Neural Video Portrait Relighting in Real-time via Consistency ModelingCode1
Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and TranslationCode1
Scaling-up Disentanglement for Image TranslationCode1
Adversarial Graph DisentanglementCode1
VDSM: Unsupervised Video Disentanglement with State-Space Modeling and Deep Mixtures of ExpertsCode1
ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual ScansCode1
Image-to-image Translation via Hierarchical Style DisentanglementCode1
Representation Disentanglement for Multi-modal brain MR AnalysisCode1
Rethinking Content and Style: Exploring Bias for Unsupervised DisentanglementCode1
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning ViewCode1
Towards Building A Group-based Unsupervised Representation Disentanglement FrameworkCode1
Contrastive Learning Inverts the Data Generating ProcessCode1
Addressing the Topological Defects of Disentanglement via Distributed OperatorsCode1
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel PairsCode1
GAN-Control: Explicitly Controllable GANsCode1
Style Normalization and Restitution for Domain Generalization and AdaptationCode1
Image Harmonization With TransformerCode1
Learning Attribute-Driven Disentangled Representations for Interactive Fashion RetrievalCode1
The role of Disentanglement in GeneralisationCode1
Measuring Disentanglement: A Review of MetricsCode1
Variational Interaction Information Maximization for Cross-domain DisentanglementCode1
Phonetic Posteriorgrams based Many-to-Many Singing Voice Conversion via Adversarial TrainingCode1
How Positive Are You: Text Style Transfer using Adaptive Style EmbeddingCode1
Learning Disentangled Representations and Group Structure of Dynamical EnvironmentsCode1
Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and LanguageCode1
Your "Flamingo" is My "Bird": Fine-Grained, or NotCode1
FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and Fusing Fine-Grained Voice Fragments With AttentionCode1
Self-Learning Transformations for Improving Gaze and Head RedirectionCode1
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