Resampled Priors for Variational Autoencoders

26 October 2018

Papers citing "Resampled Priors for Variational Autoencoders"

35 / 85 papers shown

Title
A Contrastive Learning Approach for Training Variational Autoencoder Priors J. Aneja A. Schwing Jan Kautz Arash Vahdat DRL 8 81 0 06 Oct 2020
Bigeminal Priors Variational auto-encoder Xuming Ran Mingkun Xu Qi Xu Huihui Zhou Quanying Liu 14 3 0 05 Oct 2020
Generalizing Variational Autoencoders with Hierarchical Empirical Bayes Wei Cheng Gregory Darnell Sohini Ramachandran Lorin Crawford BDL 11 2 0 20 Jul 2020
Unsupervised Controllable Generation with Self-Training Grigorios G. Chrysos Jean Kossaifi Zhiding Yu Anima Anandkumar GAN 28 4 0 17 Jul 2020
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation Xuming Ran Mingkun Xu Lingrui Mei Qi Xu Quanying Liu OODD UQCV 42 50 0 16 Jul 2020
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks Yaniv Yacoby Weiwei Pan Finale Doshi-Velez CML DRL 27 25 0 14 Jul 2020
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators Takeshi Teshima Isao Ishikawa Koichi Tojo Kenta Oono Masahiro Ikeda Masashi Sugiyama 19 110 0 20 Jun 2020
Manifolds for Unsupervised Visual Anomaly Detection Louise Naud Alexander Lavin DRL 8 6 0 19 Jun 2020
A Tutorial on VAEs: From Bayes' Rule to Lossless Compression Ronald Yu BDL 13 23 0 18 Jun 2020
To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs A. Mondal Himanshu Asnani Parag Singla A. Prathosh DRL 13 1 0 10 Jun 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 24 32 0 09 Jun 2020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation Sajad Norouzi David J. Fleet Mohammad Norouzi VLM DRL 16 3 0 09 Apr 2020
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 21 4 0 17 Mar 2020
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling Tong Che Ruixiang Zhang Jascha Narain Sohl-Dickstein Hugo Larochelle Liam Paull Yuan Cao Yoshua Bengio DiffM DRL 22 111 0 12 Mar 2020
Variance Loss in Variational Autoencoders Andrea Asperti DRL 21 14 0 23 Feb 2020
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders Andrea Asperti Matteo Trentin DRL 27 96 0 18 Feb 2020
On the Discrepancy between Density Estimation and Sequence Generation Jason D. Lee Dustin Tran Orhan Firat Kyunghyun Cho 8 11 0 17 Feb 2020
Variational Autoencoders with Riemannian Brownian Motion Priors Dimitris Kalatzis David Eklund Georgios Arvanitidis Søren Hauberg BDL DRL 60 48 0 12 Feb 2020
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse Bin Dai Ziyu Wang David Wipf DRL 24 75 0 23 Dec 2019
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection Erik A. Daxberger José Miguel Hernández-Lobato UQCV 18 63 0 11 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 6 0 0 10 Dec 2019
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 57 1,631 0 05 Dec 2019
dpVAEs: Fixing Sample Generation for Regularized VAEs Riddhish Bhalodia Iain Lee Shireen Y. Elhabian DRL 17 10 0 24 Nov 2019
Energy-Inspired Models: Learning with Sampler-Induced Distributions Dieterich Lawson George Tucker Bo Dai Rajesh Ranganath 19 31 0 31 Oct 2019
Neural Density Estimation and Likelihood-free Inference George Papamakarios BDL DRL 24 44 0 29 Oct 2019
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models Maksim Kuznetsov Daniil Polykovskiy Dmitry Vetrov Alexander Zhebrak GAN 16 18 0 29 Oct 2019
Refined $α$ -Divergence Variational Inference via Rejection Sampling Rahul Sharma Abhishek Kumar Piyush Rai 11 0 0 17 Sep 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 16 1,770 0 02 Jun 2019
On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder Haowen Xu Wenxiao Chen Jinlin Lai Zhihan Li Youjian Zhao Dan Pei DRL BDL 32 14 0 31 May 2019
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition Martin Mundt Iuliia Pliushch Sagnik Majumder Yongwon Hong Visvanathan Ramesh UQCV BDL 24 40 0 28 May 2019
Generative Latent Flow Zhisheng Xiao Qing Yan Y. Amit DRL 17 15 0 24 May 2019
Autoregressive Energy Machines C. Nash Conor Durkan 23 55 0 11 Apr 2019
From Variational to Deterministic Autoencoders Partha Ghosh Mehdi S. M. Sajjadi Antonio Vergari Michael J. Black Bernhard Schölkopf DRL 37 269 0 29 Mar 2019
A RAD approach to deep mixture models Laurent Dinh Jascha Narain Sohl-Dickstein Hugo Larochelle Razvan Pascanu 16 45 0 18 Mar 2019
Latent Space Autoregression for Novelty Detection Davide Abati Angelo Porrello Simone Calderara Rita Cucchiara 16 432 0 04 Jul 2018