Title
Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging Qingjie Meng Jacqueline Matthew V. Zimmer Alberto Gómez D. Lloyd Daniel Rueckert Bernhard Kainz OOD 61 36 0 30 Oct 2020
Text Style Transfer: A Review and Experimental Evaluation Zhiqiang Hu Roy Ka-wei Lee Charu C. Aggarwal Aston Zhang AI4TS 126 27 0 24 Oct 2020
Latte-Mix: Measuring Sentence Semantic Similarity with Latent Categorical Mixtures Minghan Li He Bai Luchen Tan Kun Xiong Ming Li Jimmy J. Lin FedML 32 0 0 21 Oct 2020
A semi-supervised autoencoder framework for joint generation and classification of breathing O. Pastor-Serrano D. Lathouwers Zoltán Perkó MedIm AI4TS 23 0 0 19 Oct 2020
Variational Capsule Encoder Harish RaviPrakash Syed Muhammad Anwar Ulas Bagci BDL DRL 38 2 0 18 Oct 2020
A Contrastive Learning Approach for Training Variational Autoencoder Priors J. Aneja Alex Schwing Jan Kautz Arash Vahdat DRL 118 83 0 06 Oct 2020
Self-Supervised Variational Auto-Encoders Ioannis Gatopoulos Jakub M. Tomczak 53 13 0 05 Oct 2020
Generating Dialogue Responses from a Semantic Latent Space Wei-Jen Ko Avik Ray Yilin Shen Hongxia Jin VLM 100 6 0 04 Oct 2020
EEG to fMRI Synthesis: Is Deep Learning a candidate? David Calhas Rui Henriques MedIm 45 9 0 29 Sep 2020
Multilinear Latent Conditioning for Generating Unseen Attribute Combinations Markos Georgopoulos Grigorios G. Chrysos Maja Pantic Yannis Panagakis GAN DRL 63 17 0 09 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 138 220 0 28 Aug 2020
Generate High Resolution Images With Generative Variational Autoencoder Abhinav Sagar GAN DRL 28 3 0 12 Aug 2020
Complete parameter inference for GW150914 using deep learning Stephen R. Green J. Gair BDL 93 89 0 07 Aug 2020
Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds Valentin Liévin Andrea Dittadi Anders Christensen Ole Winther DRL 61 6 0 05 Aug 2020
Discrete Point Flow Networks for Efficient Point Cloud Generation Roman Klokov Edmond Boyer Jakob Verbeek 3DPC 87 107 0 20 Jul 2020
Failure Modes of Variational Autoencoders and Their Effects on Downstream Tasks Yaniv Yacoby Weiwei Pan Finale Doshi-Velez CML DRL 95 26 0 14 Jul 2020
Self-Reflective Variational Autoencoder Ifigeneia Apostolopoulou Elan Rosenfeld A. Dubrawski OOD BDL DRL 52 0 0 10 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 102 919 0 08 Jul 2020
Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization Rogan Morrow Wei-Chen Chiu DRL 31 0 0 07 Jul 2020
Gradient Origin Networks Sam Bond-Taylor Chris G. Willcocks BDL DRL 93 18 0 06 Jul 2020
Simple and Effective VAE Training with Calibrated Decoders Oleh Rybkin Kostas Daniilidis Sergey Levine 91 94 0 23 Jun 2020
A Tutorial on VAEs: From Bayes' Rule to Lossless Compression Ronald Yu BDL 62 24 0 18 Jun 2020
Density Deconvolution with Normalizing Flows Tim Dockhorn James A. Ritchie Yaoliang Yu Iain Murray DRL 50 5 0 16 Jun 2020
A Generative Model for Joint Natural Language Understanding and Generation Bo-Hsiang Tseng Jianpeng Cheng Yimai Fang David Vandyke 67 22 0 12 Jun 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 79 32 0 09 Jun 2020
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation Jae Hyun Lim Aaron Courville C. Pal Chin-Wei Huang DRL 68 23 0 09 Jun 2020
Variational Mutual Information Maximization Framework for VAE Latent Codes with Continuous and Discrete Priors Andriy Serdega Dae-Shik Kim DRL 27 0 0 02 Jun 2020
VMI-VAE: Variational Mutual Information Maximization Framework for VAE With Discrete and Continuous Priors Andriy Serdega Dae-Shik Kim DRL 39 4 0 28 May 2020
Color Visual Illusions: A Statistics-based Computational Model Elad Hirsch A. Tal AAML 17 0 0 18 May 2020
Variational Hyper-Encoding Networks Phuoc Nguyen T. Tran Sunil R. Gupta Santu Rana H. Dam Svetha Venkatesh BDL DRL 32 3 0 18 May 2020
Deep Latent-Variable Kernel Learning Haitao Liu Yew-Soon Ong Xiaomo Jiang Xiaofang Wang BDL 59 8 0 18 May 2020
Jigsaw-VAE: Towards Balancing Features in Variational Autoencoders Saeid Asgari Taghanaki Mohammad Havaei Alex Lamb Aditya Sanghi Aram Danielyan Tonya Custis DRL 69 7 0 12 May 2020
Lossy Compression with Distortion Constrained Optimization T. V. Rozendaal Guillaume Sautière Taco S. Cohen 65 13 0 08 May 2020
Variance Constrained Autoencoding D. Braithwaite M. O'Connor W. Kleijn DRL 16 1 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 83 62 0 27 Apr 2020
Improve Variational Autoencoder for Text Generationwith Discrete Latent Bottleneck Yang Zhao Ping Yu Suchismit Mahapatra Qinliang Su Changyou Chen DRL 46 2 0 22 Apr 2020
Do sequence-to-sequence VAEs learn global features of sentences? Tom Bosc Pascal Vincent SSL 56 9 0 16 Apr 2020
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning Kangning Liu Shuhang Gu Andrés Romero Radu Timofte 46 9 0 14 Apr 2020
Variational Autoencoders with Normalizing Flow Decoders Rogan Morrow Wei-Chen Chiu DRL 46 19 0 12 Apr 2020
Decoupling Global and Local Representations via Invertible Generative Flows Xuezhe Ma X. Kong Shanghang Zhang Eduard H. Hovy DRL 77 3 0 12 Apr 2020
SR2CNN: Zero-Shot Learning for Signal Recognition Yihong Dong Xiaohan Jiang Huaji Zhou Yun Lin Qingjiang Shi 37 87 0 10 Apr 2020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation Sajad Norouzi David J. Fleet Mohammad Norouzi VLM DRL 47 3 0 09 Apr 2020
Normalizing Flows with Multi-Scale Autoregressive Priors Shweta Mahajan Apratim Bhattacharyya Mario Fritz Bernt Schiele Stefan Roth BDL DRL 46 17 0 08 Apr 2020
Characterizing and Avoiding Problematic Global Optima of Variational Autoencoders Yaniv Yacoby Weiwei Pan Finale Doshi-Velez DRL 45 4 0 17 Mar 2020
Unified Multi-Domain Learning and Data Imputation using Adversarial Autoencoder André Mendes Julian Togelius L. Coelho 37 2 0 15 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
Deterministic Decoding for Discrete Data in Variational Autoencoders Daniil Polykovskiy Dmitry Vetrov OffRL 69 8 0 04 Mar 2020
Learning Cross-domain Generalizable Features by Representation Disentanglement Qingjie Meng Daniel Rueckert Bernhard Kainz OOD DRL 55 12 0 29 Feb 2020
Gradient Boosted Normalizing Flows Robert Giaquinto A. Banerjee BDL DRL 16 1 0 27 Feb 2020