Learning Disentangled Representations with Semi-Supervised Deep Generative Models

1 June 2017

Siddharth Narayanaswamy

Brooks Paige

Jan-Willem van de Meent

Papers citing "Learning Disentangled Representations with Semi-Supervised Deep Generative Models"

50 / 72 papers shown

Title
Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic Communications Omar Erak Omar Alhussein Wen Tong 79 0 0 30 Oct 2024
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 46 4 0 06 Mar 2024
Fairness Risks for Group-conditionally Missing Demographics Kaiqi Jiang Wenzhe Fan Mao Li Xinhua Zhang 105 0 0 20 Feb 2024
Separating common from salient patterns with Contrastive Representation Learning Robin Louiset Edouard Duchesnay Antoine Grigis Pietro Gori SSL DRL 46 1 0 19 Feb 2024
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks Yijia Weng Kaichun Mo Ruoxi Shi Yanchao Yang Leonidas J. Guibas 29 3 0 25 Dec 2023
Text Attribute Control via Closed-Loop Disentanglement Lei Sha Thomas Lukasiewicz DRL 43 2 0 01 Dec 2023
No Representation Rules Them All in Category Discovery S. Vaze Andrea Vedaldi Andrew Zisserman OOD 37 31 0 28 Nov 2023
Improving SCGAN's Similarity Constraint and Learning a Better Disentangled Representation Iman Yazdanpanah Ali Eslamian DRL GAN 21 0 0 18 Oct 2023
Disentanglement Learning via Topology Nikita Balabin Daria Voronkova I. Trofimov Evgeny Burnaev S. Barannikov DRL 60 2 0 24 Aug 2023
A Heavy-Tailed Algebra for Probabilistic Programming Feynman T. Liang Liam Hodgkinson Michael W. Mahoney 20 3 0 15 Jun 2023
Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders Ali Siahkoohi Rudy Morel Randall Balestriero Erwan Allys G. Sainton Taichi Kawamura Maarten V. de Hoop 34 2 0 25 May 2023
Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework Shageenderan Sapai Junn Yong Loo Z. Y. Ding Chee Pin Tan Raphaël C.-W. Phan Vishnu Monn Baskaran Surya Girinatha Nurzaman DRL 8 5 0 03 Mar 2023
Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models Qiucheng Wu Yujian Liu Handong Zhao Ajinkya Kale T. Bui Tong Yu Zhe-nan Lin Yang Zhang Shiyu Chang DiffM CoGe 30 98 0 16 Dec 2022
Towards Explaining Distribution Shifts Sean Kulinski David I. Inouye OffRL FAtt 42 24 0 19 Oct 2022
SW-VAE: Weakly Supervised Learn Disentangled Representation Via Latent Factor Swapping Jiageng Zhu Hanchen Xie Wael AbdAlmageed SSL CoGe DRL 35 4 0 21 Sep 2022
Borch: A Deep Universal Probabilistic Programming Language Lewis Belcher Johan Gudmundsson Michael Green BDL AI4CE UQCV 28 0 0 13 Sep 2022
Semi-Supervised Disentanglement of Tactile Contact~Geometry from Sliding-Induced Shear A. Gupta Alex Church Nathan Lepora 26 2 0 26 Aug 2022
Smoothness Analysis for Probabilistic Programs with Application to Optimised Variational Inference Wonyeol Lee Xavier Rival Hongseok Yang 24 9 0 22 Aug 2022
Noun2Verb: Probabilistic frame semantics for word class conversion Lei Yu Yang Xu 28 0 0 12 May 2022
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization Yue Duan Zhen Zhao Lei Qi Lei Wang Luping Zhou Yinghuan Shi Yang Gao 38 33 0 27 Mar 2022
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations Paidamoyo Chapfuwa Sherri Rose Lawrence Carin Edward Meeds Ricardo Henao CML 22 1 0 25 Feb 2022
Moment Matching Deep Contrastive Latent Variable Models Ethan Weinberger Nicasia Beebe-Wang Su-In Lee 25 16 0 21 Feb 2022
Source-free unsupervised domain adaptation for cross-modality abdominal multi-organ segmentation Jin Hong Yudong Zhang Weitian Chen OOD MedIm 30 82 0 24 Nov 2021
Action2video: Generating Videos of Human 3D Actions Chuan Guo Wei Ji Sen Wang Xinshuang Liu Shihao Zou Minglun Gong Li Cheng 3DH 73 22 0 12 Nov 2021
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance Fahim Faisal Niloy M. A. Amin A. K. M. Mahbubur Rahman A. Ali DRL 25 0 0 29 Aug 2021
Lifelong Mixture of Variational Autoencoders Fei Ye A. Bors DRL 16 27 0 09 Jul 2021
Learning Multimodal VAEs through Mutual Supervision Thomas Joy Yuge Shi Philip Torr Tom Rainforth Sebastian M. Schmon N. Siddharth SSL 32 20 0 23 Jun 2021
EXoN: EXplainable encoder Network SeungHwan An Hosik Choi Jong-June Jeon BDL DRL 29 5 0 23 May 2021
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources Xiao Wang Deyu Bo C. Shi Shaohua Fan Yanfang Ye Philip S. Yu AI4TS 38 294 0 30 Nov 2020
SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations H. Feng Kezhi Kong Minghao Chen Tianye Zhang Minfeng Zhu Wei Chen VLM DRL 42 24 0 21 Nov 2020
Improving seasonal forecast using probabilistic deep learning B. Pan G. Anderson André Goncalves Donald D. Lucas C. Bonfils Jiwoo Lee BDL AI4Cl 8 32 0 27 Oct 2020
Product Manifold Learning Sharon Zhang Amit Moscovich A. Singer 39 14 0 19 Oct 2020
Controlling the Interaction Between Generation and Inference in Semi-Supervised Variational Autoencoders Using Importance Weighting G. Felhi Joseph Leroux Djamé Seddah BDL 21 1 0 13 Oct 2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations Markos Georgopoulos Grigorios G. Chrysos M. Pantic Yannis Panagakis GAN DRL 19 19 0 09 Sep 2020
Zero-Resource Knowledge-Grounded Dialogue Generation Linxiao Li Can Xu Wei Wu Yufan Zhao Xueliang Zhao Chongyang Tao 36 70 0 29 Aug 2020
Measuring the Biases and Effectiveness of Content-Style Disentanglement Xiao Liu Spyridon Thermos Gabriele Valvano A. Chartsias Alison Q. OÑeil Sotirios A. Tsaftaris CoGe DRL 32 18 0 27 Aug 2020
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks Yaniv Yacoby Weiwei Pan Finale Doshi-Velez CML DRL 27 25 0 14 Jul 2020
Capturing Label Characteristics in VAEs Thomas Joy Sebastian M. Schmon Philip Torr N. Siddharth Tom Rainforth CML DRL 30 43 0 17 Jun 2020
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks Chi-Hieu Pham Saïd Ladjal A. Newson DRL 27 31 0 14 Jun 2020
A Deeper Look at the Unsupervised Learning of Disentangled Representations in $β$ -VAE from the Perspective of Core Object Recognition Harshvardhan Digvijay Sikka OCL OOD BDL DRL 21 1 0 25 Apr 2020
Semi-Supervised StyleGAN for Disentanglement Learning Weili Nie Tero Karras Animesh Garg Shoubhik Debhath Anjul Patney Ankit B. Patel Anima Anandkumar DRL 89 72 0 06 Mar 2020
NestedVAE: Isolating Common Factors via Weak Supervision M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 26 21 0 26 Feb 2020
Weakly-Supervised Disentanglement Without Compromises Francesco Locatello Ben Poole Gunnar Rätsch Bernhard Schölkopf Olivier Bachem Michael Tschannen CoGe OOD DRL 184 313 0 07 Feb 2020
Fully-hierarchical fine-grained prosody modeling for interpretable speech synthesis Guangzhi Sun Yu Zhang Ron J. Weiss Yuanbin Cao Heiga Zen Yonghui Wu 11 130 0 06 Feb 2020
Lazy object copy as a platform for population-based probabilistic programming Lawrence M. Murray 21 5 0 09 Jan 2020
Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro Du Phan Neeraj Pradhan M. Jankowiak 25 349 0 24 Dec 2019
Rate-Regularization and Generalization in VAEs Alican Bozkurt Babak Esmaeili Jean-Baptiste Tristan Dana H. Brooks Jennifer G. Dy Jan-Willem van de Meent DRL 30 7 0 11 Nov 2019
Weakly Supervised Disentanglement with Guarantees Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 45 136 0 22 Oct 2019
Theory and Evaluation Metrics for Learning Disentangled Representations Kien Do T. Tran CoGe DRL 18 93 0 26 Aug 2019
Y-Autoencoders: disentangling latent representations via sequential-encoding Massimiliano Patacchiola P. Fox-Roberts E. Rosten OOD DRL 21 13 0 25 Jul 2019