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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 341–350 of 1854 papers

TitleStatusHype
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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