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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 1451–1475 of 1854 papers

TitleStatusHype
How Positive Are You: Text Style Transfer using Adaptive Style EmbeddingCode1
Explaining Word Embeddings via Disentangled Representation—0
Learning Disentangled Representations and Group Structure of Dynamical EnvironmentsCode1
ShapeFlow: Learnable Deformation Flows Among 3D Shapes—0
Kinetics-Informed Neural Networks—0
Manipulating Medical Image Translation with Manifold Disentanglement—0
A Metric for Linear Symmetry-Based Disentanglement—0
Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints—0
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder—0
ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation—0
Contextual Interference Reduction by Selective Fine-Tuning of Neural Networks—0
Style Intervention: How to Achieve Spatial Disentanglement with Style-based Generators?—0
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
Mutual Information Based Method for Unsupervised Disentanglement of Video RepresentationCode0
Stylized Neural PaintingCode2
On the Transferability of VAE Embeddings using Relational Knowledge with Semi-Supervision—0
Quantifying and Learning Linear Symmetry-Based DisentanglementCode0
Fine-grained Style Modeling, Transfer and Prediction in Text-to-Speech Synthesis via Phone-Level Content-Style Disentanglement—0
What's New? Summarizing Contributions in Scientific Literature—0
Latent Causal Invariant Model—0
VAW-GAN for Disentanglement and Recomposition of Emotional Elements in Speech—0
Representation Matters: Improving Perception and Exploration for Robotics—0
Representation Decomposition for Image Manipulation and Beyond—0
Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation—0
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