v1v2v3 (latest)

Ladder Variational Autoencoders

6 February 2016

Papers citing "Ladder Variational Autoencoders"

50 / 335 papers shown

Title
Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network Zhibin Duan Dongsheng Wang Bo Chen Chaojie Wang Wenchao Chen Yewen Li Jie Ren Mingyuan Zhou BDL 98 42 0 30 Jun 2021
Diffusion Priors In Variational Autoencoders Antoine Wehenkel Gilles Louppe DiffM 77 23 0 29 Jun 2021
Re-parameterizing VAEs for stability David Dehaene Rémy Brossard DRL 68 9 0 25 Jun 2021
Unsupervised Speech Enhancement using Dynamical Variational Auto-Encoders Xiaoyu Bie Simon Leglaive Xavier Alameda-Pineda Laurent Girin DiffM 103 55 0 23 Jun 2021
A Deep Latent Space Model for Graph Representation Learning Hanxuan Yang Qingchao Kong Wenji Mao BDL 37 1 0 22 Jun 2021
Score-based Generative Modeling in Latent Space Arash Vahdat Karsten Kreis Jan Kautz DiffM 98 688 0 10 Jun 2021
Bayesian Attention Belief Networks Shujian Zhang Xinjie Fan Bo Chen Mingyuan Zhou BDL 110 32 0 09 Jun 2021
Multi-Facet Clustering Variational Autoencoders Fabian Falck Haoting Zhang M. Willetts G. Nicholson C. Yau Chris Holmes DRL 80 44 0 09 Jun 2021
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems Andrea Apicella Salvatore Giugliano Francesco Isgrò R. Prevete 80 18 0 09 Jun 2021
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works A. Shoeibi Parisa Moridian Marjane Khodatars Navid Ghassemi M. Jafari ... Juan M Gorriz Javier Ramírez Abbas Khosravi S. Nahavandi U. Acharya 87 54 0 29 May 2021
Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness Glenn Dawson R. Polikar NoLa 80 3 0 28 May 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 137 134 0 14 May 2021
MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer with One Transformer VAE Shih-Lun Wu Yi-Hsuan Yang ViT 109 55 0 10 May 2021
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models Minwoo Chae Dongha Kim Yongdai Kim Lizhen Lin 97 17 0 09 May 2021
Learning deep autoregressive models for hierarchical data Carl R. Andersson Niklas Wahlström Thomas B. Schon BDL 55 3 0 28 Apr 2021
Interpretable Unsupervised Diversity Denoising and Artefact Removal M. Prakash M. Delbracio P. Milanfar Florian Jug 122 34 0 03 Apr 2021
Qualitative Planning in Imperfect Information Games with Active Sensing and Reactive Sensor Attacks: Cost of Unawareness A. Kulkarni Shuo Han Nandi O. Leslie Charles A. Kamhoua Jie Fu 47 3 0 01 Apr 2021
Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation Gihyun Kwon Jong Chul Ye 116 52 0 30 Mar 2021
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data Jinwoo Kim Jaehoon Yoo Juho Lee Seunghoon Hong BDL DRL 3DPC 90 83 0 29 Mar 2021
Neighbor Embedding Variational Autoencoder Renfei Tu Yang Liu Yongzeng Xue Cheng Wang Maozu Guo BDL DRL 60 0 0 21 Mar 2021
Spatial Dependency Networks: Neural Layers for Improved Generative Image Modeling DJordje Miladinović Aleksandar Stanić Stefan Bauer Jürgen Schmidhuber J. M. Buhmann DRL 76 9 0 16 Mar 2021
Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks Anna Kuzina Max Welling Jakub M. Tomczak AAML DRL 76 10 0 10 Mar 2021
Deep Generative Modelling: A Comparative Review of VAEs, GANs, Normalizing Flows, Energy-Based and Autoregressive Models Sam Bond-Taylor Adam Leach Yang Long Chris G. Willcocks VLM TPM 176 510 0 08 Mar 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction Bohan Wu Suraj Nair Roberto Martin-Martin Li Fei-Fei Chelsea Finn DRL 101 102 0 06 Mar 2021
A Structural Causal Model for MR Images of Multiple Sclerosis Jacob C. Reinhold A. Carass Jerry L. Prince CML MedIm 74 29 0 04 Mar 2021
Conditional Image Generation by Conditioning Variational Auto-Encoders William Harvey Saeid Naderiparizi Frank Wood BDL DRL 61 25 0 24 Feb 2021
Clockwork Variational Autoencoders Vaibhav Saxena Jimmy Ba Danijar Hafner VGen DRL 90 49 0 18 Feb 2021
VAE Approximation Error: ELBO and Exponential Families Alexander Shekhovtsov D. Schlesinger B. Flach DRL 70 16 0 18 Feb 2021
Hierarchical VAEs Know What They Don't Know Jakob Drachmann Havtorn J. Frellsen Søren Hauberg Lars Maaløe DRL 116 74 0 16 Feb 2021
VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention Peng Liu Yuewen Cao Songxiang Liu Na Hu Guangzhi Li Chao Weng Jane Polak Scowcroft 95 22 0 12 Feb 2021
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders Harshana Habaragamuwa Y. Oishi Kenichi Tanaka 100 9 0 05 Feb 2021
Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews Runcong Zhao Lin Gui Gabriele Pergola Yulan He 414 2 0 25 Jan 2021
Disentangled Recurrent Wasserstein Autoencoder Jun Han Martin Renqiang Min Ligong Han Erran L. Li Xuan Zhang CoGe SyDa DRL 81 33 0 19 Jan 2021
Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder Tal Daniel Aviv Tamar DRL 83 44 0 24 Dec 2020
Planning from Pixels in Atari with Learned Symbolic Representations Andrea Dittadi Frederik K. Drachmann Thomas Bolander 94 11 0 16 Dec 2020
A Log-likelihood Regularized KL Divergence for Video Prediction with A 3D Convolutional Variational Recurrent Network Haziq Razali Basura Fernando DRL 60 6 0 11 Dec 2020
Recursive Tree Grammar Autoencoders Benjamin Paassen I. Koprinska K. Yacef 52 8 0 03 Dec 2020
Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images R. Child BDL VLM 192 353 0 20 Nov 2020
Predictive Coding, Variational Autoencoders, and Biological Connections Joseph Marino DRL AI4CE 95 45 0 15 Nov 2020
MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing Zhentao Tan Menglei Chai Dongdong Chen Jing Liao Qi Chu Lu Yuan Sergey Tulyakov Nenghai Yu 127 42 0 30 Oct 2020
On the Transfer of Disentangled Representations in Realistic Settings Andrea Dittadi Frederik Trauble Francesco Locatello M. Wuthrich Vaibhav Agrawal Ole Winther Stefan Bauer Bernhard Schölkopf OOD 138 82 0 27 Oct 2020
Variational Capsule Encoder Harish RaviPrakash Syed Muhammad Anwar Ulas Bagci BDL DRL 48 2 0 18 Oct 2020
Event Representation with Sequential, Semi-Supervised Discrete Variables Mehdi Rezaee Francis Ferraro BDL DRL 59 14 0 09 Oct 2020
Learning Deep-Latent Hierarchies by Stacking Wasserstein Autoencoders Benoit Gaujac Ilya Feige David Barber DiffM BDL 62 0 0 07 Oct 2020
A Contrastive Learning Approach for Training Variational Autoencoder Priors J. Aneja Alex Schwing Jan Kautz Arash Vahdat DRL 122 83 0 06 Oct 2020
Uncertainty Inspired RGB-D Saliency Detection Jing Zhang Deng-Ping Fan Yuchao Dai Saeed Anwar F. Saleh S. Aliakbarian Nick Barnes UQCV 86 130 0 07 Sep 2020
Adversarial Learning for Counterfactual Fairness Vincent Grari Sylvain Lamprier Marcin Detyniecki FaML 57 23 0 30 Aug 2020
Dynamical Variational Autoencoders: A Comprehensive Review Laurent Girin Simon Leglaive Xiaoyu Bie Julien Diard Thomas Hueber Xavier Alameda-Pineda BDL 143 223 0 28 Aug 2020
Training Multimodal Systems for Classification with Multiple Objectives Jason Armitage Shramana Thakur Rishi Tripathi Jens Lehmann M. Maleshkova 60 1 0 26 Aug 2020
Evaluating for Diversity in Question Generation over Text Michael Schlichtkrull Weiwei Cheng 50 5 0 17 Aug 2020