Title
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 75 77 0 19 Jun 2019
Reweighted Expectation Maximization Adji Bousso Dieng John Paisley VLM DRL 63 17 0 13 Jun 2019
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 129 2,380 0 06 Jun 2019
A Cross-Sentence Latent Variable Model for Semi-Supervised Text Sequence Matching Jihun Choi Taeuk Kim Sang-goo Lee BDL 72 6 0 04 Jun 2019
Generating Diverse High-Fidelity Images with VQ-VAE-2 Ali Razavi Aaron van den Oord Oriol Vinyals DRL BDL 162 1,830 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 84 14 0 31 May 2019
Educating Text Autoencoders: Latent Representation Guidance via Denoising T. Shen Jonas W. Mueller Regina Barzilay Tommi Jaakkola 35 4 0 29 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 98 41 0 28 May 2019
The Variational InfoMax AutoEncoder Vincenzo Crescimanna Bruce P. Graham DRL 57 3 0 25 May 2019
mu-Forcing: Training Variational Recurrent Autoencoders for Text Generation Dayiheng Liu Xu Yang Feng He Yuanyuan Chen Jiancheng Lv DRL BDL 27 33 0 24 May 2019
Compression with Flows via Local Bits-Back Coding Jonathan Ho Evan Lohn Pieter Abbeel 97 54 0 21 May 2019
Dueling Decoders: Regularizing Variational Autoencoder Latent Spaces Bryan Seybold Emily Fertig Alexander A. Alemi Ian S. Fischer DRL 89 4 0 17 May 2019
Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables F. Kingma Pieter Abbeel Jonathan Ho 97 98 0 16 May 2019
MoGlow: Probabilistic and controllable motion synthesis using normalising flows G. Henter Simon Alexanderson Jonas Beskow 94 98 0 16 May 2019
Learning Hierarchical Priors in VAEs Alexej Klushyn Nutan Chen Richard Kurle Botond Cseke Patrick van der Smagt BDL CML DRL 84 101 0 13 May 2019
Importance Weighted Hierarchical Variational Inference Artem Sobolev Dmitry Vetrov BDL 71 29 0 08 May 2019
Deep Residual Autoencoders for Expectation Maximization-inspired Dictionary Learning Bahareh Tolooshams Sourav Dey Demba E. Ba 54 4 0 18 Apr 2019
Effective Estimation of Deep Generative Language Models Tom Pelsmaeker Wilker Aziz BDL 83 28 0 17 Apr 2019
Exact Rate-Distortion in Autoencoders via Echo Noise Rob Brekelmans Daniel Moyer Aram Galstyan Greg Ver Steeg 59 17 0 15 Apr 2019
Information Bottleneck and its Applications in Deep Learning Hassan Hafez-Kolahi S. Kasaei 53 19 0 07 Apr 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
Diagnosing and Enhancing VAE Models Bin Dai David Wipf DRL 70 381 0 14 Mar 2019
Generative Graph Convolutional Network for Growing Graphs Da Xu Chuanwei Ruan Kamiya Motwani Evren Körpeoglu Sushant Kumar Kannan Achan GNN 47 14 0 06 Mar 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders J. Fauw Sander Dieleman Karen Simonyan GAN 87 37 0 06 Mar 2019
Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future Nan Rosemary Ke Amanpreet Singh Ahmed Touati Anirudh Goyal Yoshua Bengio Devi Parikh Dhruv Batra 78 48 0 05 Mar 2019
adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection Xuhong Wang Ying Du Shijie Lin Ping Cui Yuntian Shen Yupu Yang DRL ViT UQCV 74 101 0 03 Mar 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 88 215 0 06 Feb 2019
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models Dinghan Shen Asli Celikyilmaz Yizhe Zhang Liqun Chen Xin Eric Wang Jianfeng Gao Lawrence Carin DRL 79 53 0 01 Feb 2019
Latent Normalizing Flows for Discrete Sequences Zachary M. Ziegler Alexander M. Rush BDL DRL 103 129 0 29 Jan 2019
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels M. Willetts Stephen J. Roberts Christopher C Holmes 34 4 0 24 Jan 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders Junxian He Daniel M. Spokoyny Graham Neubig Taylor Berg-Kirkpatrick BDL DRL 99 273 0 16 Jan 2019
Variation Network: Learning High-level Attributes for Controlled Input Manipulation Gaëtan Hadjeres Frank Nielsen 45 2 0 11 Jan 2019
Undirected Graphical Models as Approximate Posteriors Arash Vahdat Evgeny Andriyash W. Macready 56 2 0 11 Jan 2019
Preventing Posterior Collapse with delta-VAEs Ali Razavi Aaron van den Oord Ben Poole Oriol Vinyals DRL 94 171 0 10 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders Xuezhe Ma Chunting Zhou Eduard H. Hovy DRL 72 39 0 06 Jan 2019
Adaptive Density Estimation for Generative Models Thomas Lucas K. Shmelkov Alahari Karteek Cordelia Schmid Jakob Verbeek GAN DRL 93 32 0 04 Jan 2019
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization Aditya Grover Stefano Ermon 100 53 0 26 Dec 2018
A Factorial Mixture Prior for Compositional Deep Generative Models Ulrich Paquet Sumedh Ghaisas O. Tieleman CoGe 32 1 0 18 Dec 2018
A Tutorial on Deep Latent Variable Models of Natural Language Yoon Kim Sam Wiseman Alexander M. Rush BDL VLM 121 42 0 17 Dec 2018
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 83 446 0 12 Dec 2018
Learning Controllable Fair Representations Jiaming Song Pratyusha Kalluri Aditya Grover Shengjia Zhao Stefano Ermon FaML 87 180 0 11 Dec 2018
Disentangling Disentanglement in Variational Autoencoders Emile Mathieu Tom Rainforth Siddharth Narayanaswamy Yee Whye Teh DRL CoGe 80 10 0 06 Dec 2018
Neural Joint Source-Channel Coding Kristy Choi Kedar Tatwawadi Aditya Grover Tsachy Weissman Stefano Ermon 64 39 0 19 Nov 2018
Generative Dual Adversarial Network for Generalized Zero-shot Learning He Huang Chang-Dong Wang Philip S. Yu Chang-Dong Wang GAN 111 222 0 12 Nov 2018
A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition Ahmadreza Ahmadi Jun Tani BDL DRL 52 4 0 04 Nov 2018
Content preserving text generation with attribute controls Lajanugen Logeswaran Honglak Lee Samy Bengio 97 118 0 03 Nov 2018
Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors P. Gyawali Cameron Knight S. Ghimire B. Horácek J. Sapp Linwei Wang BDL DRL 52 1 0 31 Oct 2018
Gaussian Process Prior Variational Autoencoders F. P. Casale Adrian Dalca Luca Saglietti Jennifer Listgarten Nicolò Fusi BDL CML 71 138 0 28 Oct 2018
The Variational Deficiency Bottleneck P. Banerjee Guido Montúfar 176 7 0 27 Oct 2018