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Ladder Variational Autoencoders

6 February 2016

Papers citing "Ladder Variational Autoencoders"

50 / 335 papers shown

Title
Generate High Resolution Images With Generative Variational Autoencoder Abhinav Sagar GAN DRL 39 3 0 12 Aug 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications Xuan Li Xun Huang Jiahui Yu Ting-Chun Wang Arun Mallya GAN 170 155 0 06 Aug 2020
Solving inverse problems using conditional invertible neural networks G. A. Padmanabha N. Zabaras AI4CE 66 65 0 31 Jul 2020
Neural Language Generation: Formulation, Methods, and Evaluation Cristina Garbacea Qiaozhu Mei 158 30 0 31 Jul 2020
Perpetual Motion: Generating Unbounded Human Motion Yan Zhang Michael J. Black Siyu Tang 3DH 107 47 0 27 Jul 2020
Relaxed-Responsibility Hierarchical Discrete VAEs M. Willetts Xenia Miscouridou Stephen J. Roberts Chris Holmes BDL DRL 86 5 0 14 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 140 919 0 08 Jul 2020
Simple and Effective VAE Training with Calibrated Decoders Oleh Rybkin Kostas Daniilidis Sergey Levine 105 95 0 23 Jun 2020
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression Rianne van den Berg A. Gritsenko Mostafa Dehghani C. Sønderby Tim Salimans 92 61 0 22 Jun 2020
Capturing Label Characteristics in VAEs Thomas Joy Sebastian M. Schmon Philip Torr N. Siddharth Tom Rainforth CML DRL 97 47 0 17 Jun 2020
Isometric Autoencoders Amos Gropp Matan Atzmon Y. Lipman DRL 65 18 0 16 Jun 2020
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference Hao Zhang Bo Chen Yulai Cong D. Guo Hongwei Liu Mingyuan Zhou BDL 70 28 0 15 Jun 2020
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks Chi-Hieu Pham Saïd Ladjal A. Newson DRL 98 33 0 14 Jun 2020
A Generalised Linear Model Framework for $β$ -Variational Autoencoders based on Exponential Dispersion Families Robert Sicks R. Korn Stefanie Schwaar 74 12 0 11 Jun 2020
Variational Autoencoder with Embedded Student- $t$ Mixture Model for Authorship Attribution Benedikt T. Boenninghoff Steffen Zeiler R. M. Nickel D. Kolossa BDL DRL 73 2 0 28 May 2020
Learning Robust Feature Representations for Scene Text Detection Sihwan Kim T. Park OOD 38 2 0 26 May 2020
Lossy Compression with Distortion Constrained Optimization T. V. Rozendaal Guillaume Sautière Taco S. Cohen 66 13 0 08 May 2020
A Batch Normalized Inference Network Keeps the KL Vanishing Away Qile Zhu Jianlin Su Wei Bi Xiaojiang Liu Xiyao Ma Xiaolin Li D. Wu BDL DRL 89 62 0 27 Apr 2020
Decoupling Global and Local Representations via Invertible Generative Flows Xuezhe Ma X. Kong Shanghang Zhang Eduard H. Hovy DRL 84 3 0 12 Apr 2020
A Review on Deep Learning Techniques for Video Prediction Sergiu Oprea P. Martinez-Gonzalez Alberto Garcia-Garcia John Alejandro Castro-Vargas S. Orts-Escolano Jose Garcia-Rodriguez Antonis Argyros 109 256 0 10 Apr 2020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation Sajad Norouzi David J. Fleet Mohammad Norouzi VLM DRL 58 3 0 09 Apr 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 182 123 0 26 Mar 2020
On the benefits of defining vicinal distributions in latent space Puneet Mangla Vedant Singh Shreyas Jayant Havaldar V. Balasubramanian AAML 21 3 0 14 Mar 2020
Variational Auto-Encoder: not all failures are equal Michele Sebag Victor Berger Michèle Sebag DRL 32 4 0 04 Mar 2020
Gradient Boosted Normalizing Flows Robert Giaquinto A. Banerjee BDL DRL 31 1 0 27 Feb 2020
NestedVAE: Isolating Common Factors via Weak Supervision M. Vowels Necati Cihan Camgöz Richard Bowden CML DRL 94 22 0 26 Feb 2020
Progressive Learning and Disentanglement of Hierarchical Representations Zhiyuan Li J. Murkute P. Gyawali Linwei Wang DRL 71 41 0 24 Feb 2020
Hierarchical Quantized Autoencoders Will Williams Sam Ringer T. Ash John Hughes D. Macleod Jamie Dougherty BDL DRL 82 66 0 19 Feb 2020
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models Chin-Wei Huang Laurent Dinh Aaron Courville DRL 115 89 0 17 Feb 2020
Learning Flat Latent Manifolds with VAEs Nutan Chen Alexej Klushyn Francesco Ferroni Justin Bayer Patrick van der Smagt DRL 85 42 0 12 Feb 2020
From abstract items to latent spaces to observed data and back: Compositional Variational Auto-Encoder Victor Berger Michèle Sebag BDL CoGe DRL OCL 19 0 0 22 Jan 2020
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis Christopher J. Urban Daniel J. Bauer BDL 81 33 0 22 Jan 2020
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse Bin Dai Ziyu Wang David Wipf DRL 97 76 0 23 Dec 2019
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models James Townsend Thomas Bird Julius Kunze David Barber BDL VLM 151 56 0 20 Dec 2019
Pseudo-Encoded Stochastic Variational Inference Amir Zadeh Smon Hessner Y. Lim Louis-Philippe Morency BDL 23 0 0 19 Dec 2019
Encoding Musical Style with Transformer Autoencoders Kristy Choi Curtis Hawthorne Ian Simon Monica Dinculescu Jesse Engel 95 90 0 10 Dec 2019
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference Erik Nijkamp Bo Pang Tian Han Linqi Zhou Song-Chun Zhu Ying Nian Wu BDL DRL 89 2 0 04 Dec 2019
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations Tianlin Li Daisuke Kihara Jiebo Luo Guo-Jun Qi OOD 78 34 0 21 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
Deep Variational Semi-Supervised Novelty Detection Tal Daniel Thanard Kurutach Aviv Tamar DRL UQCV 97 21 0 12 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 92 180 0 06 Nov 2019
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms Daeryong Kim B. Suh 70 52 0 03 Nov 2019
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement Weihao Xia Yujiu Yang Jing-Hao Xue 126 15 0 02 Nov 2019
Increasing Expressivity of a Hyperspherical VAE Tim R. Davidson Jakub M. Tomczak E. Gavves 52 5 0 07 Oct 2019
Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows R. Cornish Anthony L. Caterini George Deligiannidis Arnaud Doucet 50 3 0 30 Sep 2019
Automated curricula through setter-solver interactions S. Racanière Andrew Kyle Lampinen Adam Santoro David P. Reichert Vlad Firoiu Timothy Lillicrap 81 53 0 27 Sep 2019
Disentangling to Cluster: Gaussian Mixture Variational Ladder Autoencoders M. Willetts Stephen J. Roberts Chris Holmes CoGe DRL 75 16 0 25 Sep 2019
PixelVAE++: Improved PixelVAE with Discrete Prior Hossein Sadeghi Evgeny Andriyash W. Vinci L. Buffoni Mohammad H. Amin BDL DRL 53 33 0 26 Aug 2019
Increasing the Generalisation Capacity of Conditional VAEs Alexej Klushyn Nutan Chen Botond Cseke Justin Bayer Patrick van der Smagt DRL 31 2 0 23 Aug 2019
Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation Reuben Dorent Samuel Joutard Marc Modat Sébastien Ourselin Tom Vercauteren MedIm 78 125 0 25 Jul 2019