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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 1751–1775 of 1854 papers

TitleStatusHype
Weakly Supervised Disentanglement by Pairwise SimilaritiesCode0
RL-Based Method for Benchmarking the Adversarial Resilience and Robustness of Deep Reinforcement Learning Policies—0
Feature Transfer Learning for Face Recognition With Under-Represented Data—0
Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning—0
On the Fairness of Disentangled Representations—0
Unsupervised pre-training helps to conserve views from input distribution—0
Unsupervised Model Selection for Variational Disentangled Representation Learning—0
Disentangling Monocular 3D Object Detection—0
Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial LearningCode0
Are Disentangled Representations Helpful for Abstract Visual Reasoning?—0
Disentangling Style and Content in Anime Illustrations—0
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal RegularizationCode0
Learning Discrete and Continuous Factors of Data via Alternating DisentanglementCode0
Additive Adversarial Learning for Unbiased AuthenticationCode0
Illumination-Adaptive Person Re-identification—0
Disentangling Content and Style via Unsupervised Geometry DistillationCode0
Unified Adversarial Invariance—0
Disentangling Factors of Variation Using Few Labels—0
Multiple-Attribute Text Rewriting—0
ISA-VAE: Independent Subspace Analysis with Variational Autoencoders—0
INFORMATION MAXIMIZATION AUTO-ENCODING—0
Critical Learning Periods in Deep Networks—0
Cross-Task Knowledge Transfer for Visually-Grounded Navigation—0
IB-GAN: Disentangled Representation Learning with Information Bottleneck GANCode0
Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian SupervisionCode0
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