Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations

24 May 2017

Papers citing "Multi-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations"

50 / 64 papers shown

Title
An Information Criterion for Controlled Disentanglement of Multimodal Data Chenyu Wang Sharut Gupta Xinyi Zhang Sana Tonekaboni Stefanie Jegelka Tommi Jaakkola Caroline Uhler DRL 44 1 0 31 Oct 2024
Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models Baao Xie Qiuyu Chen Yunnan Wang Zequn Zhang Xin Jin Wenjun Zeng OffRL 45 2 0 26 Jul 2024
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 48 4 0 06 Mar 2024
Multimodal Variational Auto-encoder based Audio-Visual Segmentation Yuxin Mao Jing Zhang Mochu Xiang Yiran Zhong Yuchao Dai 40 34 0 12 Oct 2023
Differentiable Random Partition Models Thomas M. Sutter Alain Ryser Joram Liebeskind Julia E. Vogt 46 3 0 26 May 2023
Multifactor Sequential Disentanglement via Structured Koopman Autoencoders Nimrod Berman Ilana D Naiman Omri Azencot CoGe 32 22 0 30 Mar 2023
Measuring axiomatic soundness of counterfactual image models M. Monteiro Fabio De Sousa Ribeiro Nick Pawlowski Daniel Coelho De Castro Ben Glocker 44 25 0 02 Mar 2023
Simple Disentanglement of Style and Content in Visual Representations Lilian Ngweta Subha Maity Alex Gittens Yuekai Sun Mikhail Yurochkin CoGe DRL 34 7 0 20 Feb 2023
ContraFeat: Contrasting Deep Features for Semantic Discovery Xinqi Zhu Chang Xu Dacheng Tao DRL 26 2 0 14 Dec 2022
Disentangled Representation Learning Xin Eric Wang Hong Chen Siao Tang Zihao Wu Wenwu Zhu DRL 39 78 0 21 Nov 2022
3DLatNav: Navigating Generative Latent Spaces for Semantic-Aware 3D Object Manipulation Amaya Dharmasiri Dinithi Dissanayake Mohamed Afham Isuru Dissanayake Ranga Rodrigo Kanchana Thilakarathna 3DPC 31 0 0 17 Nov 2022
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xingxu Xie DRL 27 0 0 22 Oct 2022
Disentanglement of Correlated Factors via Hausdorff Factorized Support Karsten Roth Mark Ibrahim Zeynep Akata Pascal Vincent Diane Bouchacourt CML OOD CoGe 41 33 0 13 Oct 2022
Human Pose Driven Object Effects Recommendation Zhaoxin Fan Feng Li Hongyan Liu Jun He Xiaoyong Du 11 2 0 17 Sep 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models Emanuele Marconato Andrea Passerini Stefano Teso 111 64 0 31 May 2022
Gacs-Korner Common Information Variational Autoencoder Michael Kleinman Alessandro Achille Stefano Soatto J. Kao CML DRL 32 12 0 24 May 2022
Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders Irem Cetin Maialen Stephens Oscar Camara M. A. G. Ballester DRL 51 39 0 20 Mar 2022
Learning Group Importance using the Differentiable Hypergeometric Distribution Thomas M. Sutter Laura Manduchi Alain Ryser Julia E. Vogt 46 7 0 03 Mar 2022
Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization Weijia Zhang Xuanhui Zhang Hanwen Deng Min-Ling Zhang 21 22 0 25 Feb 2022
Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph Dacheng Yin Xuanchi Ren Chong Luo Yuwang Wang Zhiwei Xiong Wenjun Zeng 58 13 0 24 Feb 2022
Right for the Right Latent Factors: Debiasing Generative Models via Disentanglement Xiaoting Shao Karl Stelzner Kristian Kersting CML DRL 29 3 0 01 Feb 2022
Disentanglement and Generalization Under Correlation Shifts Christina M. Funke Paul Vicol Kuan-Chieh Jackson Wang Matthias Kümmerer R. Zemel Matthias Bethge OOD 39 7 0 29 Dec 2021
Learning Conditional Invariance through Cycle Consistency M. Samarin V. Nesterov Mario Wieser Aleksander Wieczorek S. Parbhoo Volker Roth 41 3 0 25 Nov 2021
Group-disentangled Representation Learning with Weakly-Supervised Regularization Linh-Tam Tran Amir Hosein Khasahmadi Aditya Sanghi Saeid Asgari Taghanaki DRL 36 1 0 23 Oct 2021
Self-Enhancing Multi-filter Sequence-to-Sequence Model Yunhao Yang Zhaokun Xue Andrew Whinston 40 1 0 25 Sep 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 32 82 0 08 Sep 2021
Disentangling Hate in Online Memes Rui Cao Ziqing Fan Roy Ka-wei Lee Wen-Haw Chong Jing Jiang 26 76 0 09 Aug 2021
Generalized Multimodal ELBO Thomas M. Sutter Imant Daunhawer Julia E. Vogt 24 89 0 06 May 2021
Where and What? Examining Interpretable Disentangled Representations Xinqi Zhu Chang Xu Dacheng Tao FAtt DRL 58 38 0 07 Apr 2021
Measuring Disentanglement: A Review of Metrics M. Carbonneau Julian Zaïdi Jonathan Boilard G. Gagnon CoGe DRL 33 81 0 16 Dec 2020
Unsupervised Learning of Global Factors in Deep Generative Models I. Peis Pablo Martínez Olmos Antonio Artés-Rodríguez BDL DRL 34 8 0 15 Dec 2020
A Sober Look at the Unsupervised Learning of Disentangled Representations and their Evaluation Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 14 66 0 27 Oct 2020
3DMolNet: A Generative Network for Molecular Structures V. Nesterov Mario Wieser Volker Roth AI4CE 173 33 0 08 Oct 2020
Deep Anomaly Detection by Residual Adaptation Lucas Deecke Lukas Ruff Robert A. Vandermeulen Hakan Bilen UQCV 30 4 0 05 Oct 2020
Generative Model without Prior Distribution Matching Cong Geng Jia Wang L. Chen Zhiyong Gao GAN 195 1 0 23 Sep 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
iCaps: An Interpretable Classifier via Disentangled Capsule Networks Dahuin Jung Jonghyun Lee Jihun Yi Sungroh Yoon 33 12 0 20 Aug 2020
A Commentary on the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD DRL 29 20 0 28 Jul 2020
Training Interpretable Convolutional Neural Networks by Differentiating Class-specific Filters Haoyun Liang Zhihao Ouyang Yuyuan Zeng Hang Su Zihao He Shutao Xia Jun Zhu Bo Zhang 16 47 0 16 Jul 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 48 147 0 13 Jul 2020
Generative causal explanations of black-box classifiers Matthew R. O’Shaughnessy Gregory H. Canal Marissa Connor Mark A. Davenport Christopher Rozell CML 30 73 0 24 Jun 2020
Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence Thomas M. Sutter Imant Daunhawer Julia E. Vogt 39 67 0 15 Jun 2020
On Disentangled Representations Learned From Correlated Data Frederik Trauble Elliot Creager Niki Kilbertus Francesco Locatello Andrea Dittadi Anirudh Goyal Bernhard Schölkopf Stefan Bauer OOD CML 29 115 0 14 Jun 2020
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions Abdulelah S. Alshehri R. Gani Fengqi You AI4CE 32 83 0 18 May 2020
Face Identity Disentanglement via Latent Space Mapping Yotam Nitzan Amit H. Bermano Yangyan Li Daniel Cohen-Or CVBM CoGe DRL 30 16 0 15 May 2020
Learning to Manipulate Individual Objects in an Image Yanchao Yang Yutong Chen Stefano Soatto OCL 13 37 0 11 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 184 314 0 07 Feb 2020
Weakly Supervised Disentanglement with Guarantees Rui Shu Yining Chen Abhishek Kumar Stefano Ermon Ben Poole CoGe DRL 56 136 0 22 Oct 2019