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Diagnosing and Enhancing VAE Models

14 March 2019

Papers citing "Diagnosing and Enhancing VAE Models"

42 / 242 papers shown

Title
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning Yu Deng Jiaolong Yang Dong Chen Fang Wen Xin Tong CoGe CVBM 87 347 0 24 Apr 2020
Classify and Generate: Using Classification Latent Space Representations for Image Generations Saisubramaniam Gopalakrishnan Pranshu Ranjan Singh Yasin Yazici Chuan-Sheng Foo V. Chandrasekhar Arulmurugan Ambikapathi DiffM 37 3 0 16 Apr 2020
Variational Autoencoders with Normalizing Flow Decoders Rogan Morrow Wei-Chen Chiu DRL 46 19 0 12 Apr 2020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation Sajad Norouzi David J. Fleet Mohammad Norouzi VLM DRL 56 3 0 09 Apr 2020
MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model Han Fu R. Wu Chenghao Liu Jianling Sun 77 50 0 02 Apr 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder Zhisheng Xiao Qing Yan Y. Amit OODD 189 195 0 06 Mar 2020
Batch norm with entropic regularization turns deterministic autoencoders into generative models Amur Ghose Abdullah M. Rashwan Pascal Poupart UQCV 41 8 0 25 Feb 2020
Variance Loss in Variational Autoencoders Andrea Asperti DRL 74 15 0 23 Feb 2020
Regularized Autoencoders via Relaxed Injective Probability Flow Abhishek Kumar Ben Poole Kevin Patrick Murphy BDL TPM DRL 76 39 0 20 Feb 2020
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders Andrea Asperti Matteo Trentin DRL 95 104 0 18 Feb 2020
Manifold-based Test Generation for Image Classifiers Taejoon Byun Abhishek Vijayakumar Sanjai Rayadurgam D. Cofer 37 9 0 15 Feb 2020
Iterative energy-based projection on a normal data manifold for anomaly localization David Dehaene Oriel Frigo Sébastien Combrexelle P. Eline 74 145 0 10 Feb 2020
Manifold for Machine Learning Assurance Taejoon Byun Sanjai Rayadurgam 68 30 0 08 Feb 2020
AE-OT-GAN: Training GANs from data specific latent distribution Dongsheng An Yang Guo Min Zhang Xin Qi Na Lei S. Yau X. Gu DRL GAN 89 24 0 11 Jan 2020
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse Bin Dai Ziyu Wang David Wipf DRL 97 76 0 23 Dec 2019
There and Back Again: Unraveling the Variational Auto-Encoder Graham Fyffe DRL 28 0 0 21 Dec 2019
Jacobian Adversarially Regularized Networks for Robustness Alvin Chan Yi Tay Yew-Soon Ong Jie Fu AAML 92 76 0 21 Dec 2019
MaskAAE: Latent space optimization for Adversarial Auto-Encoders A. Mondal Sankalan Pal Chowdhury Aravind Jayendran Parag Singla Himanshu Asnani P. PrathoshA. GAN DRL 17 0 0 10 Dec 2019
No Representation without Transformation Giorgio Giannone Saeed Saremi Jonathan Masci Christian Osendorfer BDL DRL 40 2 0 09 Dec 2019
High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection David Zimmerer Jens Petersen Klaus Maier-Hein DRL 42 7 0 27 Nov 2019
Improving VAE generations of multimodal data through data-dependent conditional priors Frantzeska Lavda Magda Gregorova Alexandros Kalousis 29 4 0 25 Nov 2019
Planning with Goal-Conditioned Policies Soroush Nasiriany Vitchyr H. Pong Steven Lin Sergey Levine OffRL 154 219 0 19 Nov 2019
Learning to Synthesize Fashion Textures Wu Shi Tak-Wai Hui Ziwei Liu Dahua Lin Chen Change Loy 53 5 0 18 Nov 2019
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement M. Vowels Necati Cihan Camgöz Richard Bowden CoGe DRL 66 9 0 15 Nov 2019
Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior Mario González Andrés Almansa M. Delbracio Pablo Musé Pauline Tan 54 6 0 14 Nov 2019
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse James Lucas George Tucker Roger C. Grosse Mohammad Norouzi CoGe DRL 90 180 0 06 Nov 2019
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models P. Gyawali Rudra Saha Linwei Wang V. Veeravasarapu M. Singh DiffM DRL 40 0 0 26 Oct 2019
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models Derui Wang Wang Chaoran Li S. Wen Surya Nepal Yang Xiang AAML 34 35 0 14 Oct 2019
A Generative Approach Towards Improved Robotic Detection of Marine Litter Jungseok Hong Michael Fulton Junaed Sattar 34 22 0 10 Oct 2019
$ρ$ -VAE: Autoregressive parametrization of the VAE encoder Sohrab Ferdowsi M. Diephuis Shideh Rezaeifar Svyatoslav Voloshynovskiy 29 3 0 13 Sep 2019
The continuous Bernoulli: fixing a pervasive error in variational autoencoders Gabriel Loaiza-Ganem John P. Cunningham DRL 128 84 0 16 Jul 2019
Unsupervised Anomaly Localization using Variational Auto-Encoders David Zimmerer Fabian Isensee Jens Petersen Simon A. A. Kohl Klaus Maier-Hein DRL 78 136 0 04 Jul 2019
Perceptual Generative Autoencoders Zijun Zhang Ruixiang Zhang Zongpeng Li Yoshua Bengio Liam Paull DRL GAN 79 28 0 25 Jun 2019
Anomaly scores for generative models Václav Smídl J. Bím Tomás Pevný DiffM DRL 33 4 0 28 May 2019
Generative Latent Flow Zhisheng Xiao Qing Yan Y. Amit DRL 58 15 0 24 May 2019
DIVA: Domain Invariant Variational Autoencoders Maximilian Ilse Jakub M. Tomczak Christos Louizos Max Welling DRL OOD 89 206 0 24 May 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 104 272 0 29 Mar 2019
Adversarial Approximate Inference for Speech to Electroglottograph Conversion Prathosh A. P. Varun Srivastava Mayank Mishra 16 6 0 28 Mar 2019
Variation Network: Learning High-level Attributes for Controlled Input Manipulation Gaëtan Hadjeres Frank Nielsen 55 2 0 11 Jan 2019
Sparsity in Variational Autoencoders Andrea Asperti BDL DRL 65 10 0 18 Dec 2018
Variational Autoencoders Pursue PCA Directions (by Accident) Michal Rolínek Dominik Zietlow Georg Martius OOD DRL 78 153 0 17 Dec 2018
Coulomb Autoencoders E. Sansone Hafiz Tiomoko Ali Jiacheng Sun DRL 45 1 0 10 Feb 2018