v1v2v3 (latest)

Capturing Label Characteristics in VAEs

17 June 2020

Papers citing "Capturing Label Characteristics in VAEs"

42 / 42 papers shown

Title
Variational Learning of Disentangled Representations Yuli Slavutsky Ozgur Beker David Blei Bianca Dumitrascu DRL OOD CML CoGe 108 0 0 20 Jun 2025
Learning Causally Disentangled Representations via the Principle of Independent Causal Mechanisms Aneesh Komanduri Yongkai Wu Feng Chen Xintao Wu CML OOD 173 12 0 02 Jun 2023
Rethinking the Value of Labels for Instance-Dependent Label Noise Learning Hanwen Deng Weijia Zhang Min-Ling Zhang NoLa 93 0 0 10 May 2023
Incorporating Unlabelled Data into Bayesian Neural Networks Mrinank Sharma Tom Rainforth Yee Whye Teh Vincent Fortuin SSL UQCV BDL 132 10 0 04 Apr 2023
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 144 17 0 22 Aug 2022
Repairing Systematic Outliers by Learning Clean Subspaces in VAEs Simao Eduardo Kai Xu A. Nazábal Charles Sutton DRL 126 0 0 17 Jul 2022
Learning Generative Factors of EEG Data with Variational auto-encoders Maksim Zhdanov S. Steinmann Nico Hoffmann DRL 78 1 0 04 Jun 2022
MutexMatch: Semi-Supervised Learning with Mutex-Based Consistency Regularization Yue Duan Zhen Zhao Lei Qi Lei Wang Luping Zhou Yinghuan Shi Yang Gao 107 40 0 27 Mar 2022
The Transitive Information Theory and its Application to Deep Generative Models Trung Ngo Trong Najwa Laabid Ville Hautamaki M. Heinäniemi DRL 157 0 0 09 Mar 2022
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations Paidamoyo Chapfuwa Sherri Rose Lawrence Carin Edward Meeds Ricardo Henao CML 96 2 0 25 Feb 2022
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo I. Peis Chao Ma José Miguel Hernández-Lobato BDL DRL 168 19 0 09 Feb 2022
Disentanglement and Generalization Under Correlation Shifts Christina M. Funke Paul Vicol Kuan-Chieh Wang Matthias Kümmerer R. Zemel Matthias Bethge OOD 134 7 0 29 Dec 2021
Disentangled representations: towards interpretation of sex determination from hip bone K. Zou S. Faisan F. Heitz Marie Epain P. Croisille L. Fanton S. Valette 3DH DRL 134 4 0 17 Dec 2021
Supervising the Decoder of Variational Autoencoders to Improve Scientific Utility Liyun Tu Austin Talbot Neil Gallagher David Carlson DRL 92 3 0 09 Sep 2021
Learning Multimodal VAEs through Mutual Supervision Thomas Joy Yuge Shi Philip Torr Tom Rainforth Sebastian M. Schmon N. Siddharth SSL 94 20 0 23 Jun 2021
A Survey on Deep Semi-supervised Learning Xiangli Yang Zixing Song Irwin King Zenglin Xu 191 644 0 28 Feb 2021
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models Yuge Shi Siddharth Narayanaswamy Brooks Paige Philip Torr DRL 161 292 0 08 Nov 2019
DIVA: Domain Invariant Variational Autoencoders Maximilian Ilse Jakub M. Tomczak Christos Louizos Max Welling DRL OOD 171 214 0 24 May 2019
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision Jiayuan Mao Chuang Gan Pushmeet Kohli J. Tenenbaum Jiajun Wu NAI 294 732 0 26 Apr 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 195 216 0 06 Feb 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Jeremy Irvin Pranav Rajpurkar M. Ko Yifan Yu Silviana Ciurea-Ilcus ... D. Larson C. Langlotz Bhavik Patel M. Lungren A. Ng 378 2,812 0 21 Jan 2019
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations Francesco Locatello Stefan Bauer Mario Lucic Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem OOD 297 1,518 0 29 Nov 2018
Structured Disentangled Representations Babak Esmaeili Hao Wu Sarthak Jain Alican Bozkurt N. Siddharth Brooks Paige Dana H. Brooks Jennifer Dy Jan-Willem van de Meent OOD CML BDL DRL 162 170 0 06 Apr 2018
Learning Disentangled Joint Continuous and Discrete Representations Emilien Dupont DRL 252 251 0 31 Mar 2018
ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes Taihong Xiao Jiapeng Hong Jinwen Ma CVBM 150 201 0 28 Mar 2018
Understanding Measures of Uncertainty for Adversarial Example Detection Lewis Smith Y. Gal UQCV 157 378 0 22 Mar 2018
Interpretable VAEs for nonlinear group factor analysis Samuel K. Ainsworth N. Foti Adrian K. C. Lee E. Fox OOD DRL 161 19 0 17 Feb 2018
Disentangling by Factorising Hyunjik Kim A. Mnih CoGe OOD 422 1,391 0 16 Feb 2018
Multimodal Generative Models for Scalable Weakly-Supervised Learning Mike Wu Noah D. Goodman DRL 187 397 0 14 Feb 2018
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images Taihong Xiao Jiapeng Hong Jinwen Ma DRL 79 90 0 15 Nov 2017
Disentangled Variational Auto-Encoder for Semi-supervised Learning Yang Li Quan Pan Suhang Wang Haiyun Peng Tao Yang Min Zhang DRL 89 90 0 15 Sep 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models Siddharth Narayanaswamy Brooks Paige Jan-Willem van de Meent Alban Desmaison Noah D. Goodman Pushmeet Kohli Frank Wood Philip Torr DRL CoGe 280 367 0 01 Jun 2017
Generative Models of Visually Grounded Imagination Ramakrishna Vedantam Ian S. Fischer Jonathan Huang Kevin Patrick Murphy 275 142 0 30 May 2017
Semi-Supervised Generation with Cluster-aware Generative Models Lars Maaløe Marco Fraccaro Ole Winther 159 28 0 03 Apr 2017
Joint Multimodal Learning with Deep Generative Models Masahiro Suzuki Kotaro Nakayama Y. Matsuo DRL GAN 150 228 0 07 Nov 2016
Auxiliary Deep Generative Models Lars Maaløe C. Sønderby Søren Kaae Sønderby Ole Winther DRL GAN 316 454 0 17 Feb 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 270 929 0 06 Feb 2016
Hierarchical Variational Models Rajesh Ranganath Dustin Tran David M. Blei DRL VLM 172 344 0 07 Nov 2015
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 400 8,704 0 28 Nov 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 267 2,786 0 20 Jun 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 900 16,788 0 20 Dec 2013
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 539 12,732 0 24 Jun 2012