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Disentanglement

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하위 태스크: 0
평가표: 3
보존된 평가 기록: 4

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)

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/batmanlab/VAE_pairwise

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Weakly Supervised Disentanglement by Pairwise Similarities

https://github.com/berenslab/disentangling-retinal-images

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Disentangling representations of retinal images with generative models

https://github.com/besterma/dava

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DAVA: Disentangling Adversarial Variational Autoencoder

https://github.com/besterma/robust_disentanglement

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Robust Disentanglement of a Few Factors at a Time

https://github.com/bethgelab/slow_disentanglement

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Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

https://github.com/bigdasgit/dab-gnn

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Disentangling, Amplifying, and Debiasing: Learning Disentangled Representations for Fair Graph Neural Networks

https://github.com/bigdata-ustc/coral

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Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling

https://github.com/biggytruck/speechsplit2

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SpeechSplit 2.0: Unsupervised speech disentanglement for voice conversion Without tuning autoencoder Bottlenecks

https://github.com/billyxyb/transeditor

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TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing

https://github.com/biomedia-mbzuai/condisr

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ConDiSR: Contrastive Disentanglement and Style Regularization for Single Domain Generalization

https://github.com/bismex/HiCMD

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Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification

https://github.com/bkompa/UFDN-TCGA

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Learning a Generative Model of Cancer Metastasis

https://github.com/blackPython/mipae

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Mutual Information Based Method for Unsupervised Disentanglement of Video Representation

https://github.com/bmolab/masked-gan-manifold

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Mask-Guided Discovery of Semantic Manifolds in Generative Models

https://github.com/bmucsanyi/bud

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Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks

https://github.com/bmucsanyi/untangle

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Benchmarking Uncertainty Disentanglement: Specialized Uncertainties for Specialized Tasks

https://github.com/boeun-kim/most

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MoST: Motion Style Transformer between Diverse Action Contents

https://github.com/bonheml/tc_study

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Be More Active! Understanding the Differences between Mean and Sampled Representations of Variational Autoencoders

https://github.com/boschresearch/igpode

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Learning Interacting Dynamical Systems with Latent Gaussian Process ODEs

https://github.com/bpascal-fr/kravchuk-transform-and-its-zeros

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A covariant, discrete time-frequency representation tailored for zero-based signal detection

https://github.com/brendel-group/cl-ica

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Contrastive Learning Inverts the Data Generating Process

https://github.com/by1tTZ4IsQkAO80F/iclr_2019

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Learning concise representations for regression by evolving networks of trees

https://github.com/camma-public/surglatentgraph

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Optimizing Latent Graph Representations of Surgical Scenes for Zero-Shot Domain Transfer

https://github.com/candytalking/abdgen

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Generating by Understanding: Neural Visual Generation with Logical Symbol Groundings

https://github.com/carlwangchina/samoye-svc

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SaMoye: Zero-shot Singing Voice Conversion Model Based on Feature Disentanglement and Enhancement

https://github.com/cas-aisafetybasicresearchgroup/causaldiff

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CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense

https://github.com/causal-disentanglement/disentanglement_lib

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On Causally Disentangled Representations

https://github.com/causallearningai/multiview-crl

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Multi-View Causal Representation Learning with Partial Observability

https://github.com/cchen-cc/Robust-Mseg

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Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion

https://github.com/cdyrhjohn/Deep-Music-Analogy-Demos

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Deep Music Analogy Via Latent Representation Disentanglement

https://github.com/cgcl-codes/rfcoa

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Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature

https://github.com/chang-yuanyuan/caso

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Instructing Text-to-Image Diffusion Models via Classifier-Guided Semantic Optimization

https://github.com/changdaeoh/farconvae

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Learning Fair Representation via Distributional Contrastive Disentanglement

https://github.com/changzhang777/AFD

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AFD: Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement

https://github.com/chao1224/graphcg

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Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled

https://github.com/chaowentao/lfsrdiff

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LFSRDiff: Light Field Image Super-Resolution via Diffusion Models

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