A Primal-Dual link between GANs and Autoencoders | Hisham Husain · Richard Nock · Robert Williamson |
A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models | Maxim Kuznetsov · Daniil Polykovskiy · Dmitry Vetrov · Alex Zhebrak |
Adversarial Self-Defense for Cycle-Consistent GANs | Dina Bashkirova · Ben Usman · Kate Saenko |
Controllable Text-to-Image Generation | Bowen Li · Xiaojuan Qi · Thomas Lukasiewicz · Philip Torr |
Dancing to Music | Hsin-Ying Lee · Xiaodong Yang · Ming-Yu Liu · Ting-Chun Wang · Yu-Ding Lu · Ming-Hsuan Yang · Jan Kautz |
DppNet: Approximating Determinantal Point Processes with Deep Networks | Zelda Mariet · Yaniv Ovadia · Jasper Snoek |
Efficient Graph Generation with Graph Recurrent Attention Networks | Renjie Liao · Yujia Li · Yang Song · Shenlong Wang · Will Hamilton · David Duvenaud · Raquel Urtasun · Richard Zemel |
Explicit Disentanglement of Appearance and Perspective in Generative Models | Nicki Skafte · Søren Hauberg |
Flow-based Image-to-Image Translation with Feature Disentanglement | Ruho Kondo · Keisuke Kawano · Satoshi Koide · Takuro Kutsuna |
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection | Bingzhe Wu · Shiwan Zhao · Chaochao Chen · Haoyang Xu · Li Wang · Xiaolu Zhang · Guangyu Sun · Jun Zhou |
Improved Precision and Recall Metric for Assessing Generative Models | Tuomas Kynkäänniemi · Tero Karras · Samuli Laine · Jaakko Lehtinen · Timo Aila |
Knowledge Extraction with No Observable Data | Jaemin Yoo · Minyong Cho · Taebum Kim · U Kang |
Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge | Tingting Qiao · Jing Zhang · Duanqing Xu · Dacheng Tao |
PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph | Yikang LI · Tao Ma · Yeqi Bai · Nan Duan · Sining Wei · Xiaogang Wang |
Sequential Neural Processes | Gautam Singh · Jaesik Yoon · Youngsung Son · Sungjin Ahn |
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction | Yunji Kim · Seonghyeon Nam · In Cho · Seon Joo Kim |
Adaptive Density Estimation for Generative Models | Thomas Lucas · Konstantin Shmelkov · Karteek Alahari · Cordelia Schmid · Jakob Verbeek |
Adversarial Fisher Vectors for Unsupervised Representation Learning | Joshua Susskind · Shuangfei Zhai · Walter Talbott · Carlos Guestrin |
Co-Generation with GANs using AIS based HMC | Tiantian Fang · Alexander Schwing |
Compression with Flows via Local Bits-Back Coding | Jonathan Ho · Evan Lohn · Pieter Abbeel |
Direct Optimization through \arg \max for Discrete Variational Auto-Encoder | Guy Lorberbom · Tommi Jaakkola · Andreea Gane · Tamir Hazan |
Fast and Provable ADMM for Learning with Generative Priors | Fabian Latorre · Armin eftekhari · Volkan Cevher |
Generative Modeling by Estimating Gradients of the Data Distribution | Yang Song · Stefano Ermon |
HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models | Sharon Zhou · Mitchell Gordon · Ranjay Krishna · Austin Narcomey · Li Fei-Fei · Michael Bernstein |
Implicit Generation and Modeling with Energy Based Models | Yilun Du · Igor Mordatch |
Invertible Convolutional Flow | Mahdi Karami · Dale Schuurmans · Jascha Sohl-Dickstein · Laurent Dinh · Daniel Duckworth |
Latent Ordinary Differential Equations for Irregularly-Sampled Time Series | Yulia Rubanova · Tian Qi Chen · David Duvenaud |
MaCow: Masked Convolutional Generative Flow | Xuezhe Ma · Xiang Kong · Shanghang Zhang · Eduard Hovy |
Mining GOLD Samples for Conditional GANs | Sangwoo Mo · Chiheon Kim · Sungwoong Kim · Minsu Cho · Jinwoo Shin |
Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model | Erik Nijkamp · Mitch Hill · Song-Chun Zhu · Ying Nian Wu |
Residual Flows for Invertible Generative Modeling | Tian Qi Chen · Jens Behrmann · David Duvenaud · Joern-Henrik Jacobsen |
Time-series Generative Adversarial Networks | Jinsung Yoon · Daniel Jarrett · M Van Der Schaar |
Twin Auxilary Classifiers GAN | Mingming Gong · Yanwu Xu · Chunyuan Li · Kun Zhang · Kayhan Batmanghelich |
Deep Generative Video Compression | Salvator Lombardo · JUN HAN · Christopher Schroers · Stephan Mandt |
A Model to Search for Synthesizable Molecules | John Bradshaw · Brooks Paige · Matt Kusner · Marwin Segler · José Miguel Hernández-Lobato |
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling | Lars Maaløe · Marco Fraccaro · Valentin Liévin · Ole Winther |
Classification Accuracy Score for Conditional Generative Models | Suman Ravuri · Oriol Vinyals |
Discrete Flows: Invertible Generative Models of Discrete Data | Dustin Tran · Keyon Vafa · Kumar Agrawal · Laurent Dinh · Ben Poole |
First Order Motion Model for Image Animation | Aliaksandr Siarohin · Stéphane Lathuillère · Sergey Tulyakov · Elisa Ricci · Nicu Sebe |
G2SAT: Learning to Generate SAT Formulas | Jiaxuan You · Haoze Wu · Clark Barrett · Raghuram Ramanujan · Jure Leskovec |
Multi-objects Generation with Amortized Structural Regularization | Taufik Xu · Chongxuan LI · Jun Zhu · Bo Zhang |
Neural Multisensory Scene Inference | Jae Hyun Lim · Pedro O. Pinheiro · Negar Rostamzadeh · Chris Pal · Sungjin Ahn |
Neural Spline Flows | Conor Durkan · Artur Bekasov · Iain Murray · George Papamakarios |
Progressive Augmentation of GANs | Dan Zhang · Anna Khoreva |
Quantum Wasserstein Generative Adversarial Networks | Shouvanik Chakrabarti · Huang Yiming · Tongyang Li · Soheil Feizi · Xiaodi Wu |
Energy-Inspired Models: Learning with Sampler-Induced Distributions | John Lawson · George Tucker · Bo Dai · Rajesh Ranganath |
Sequence Modeling with Unconstrained Generation Order | Dmitrii Emelianenko · Elena Voita · Pavel Serdyukov |
Symmetry-adapted generation of 3d point sets for the targeted discovery of molecules | Niklas Gebauer · Michael Gastegger · Kristof Schütt |
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse | James Lucas · George Tucker · Roger Grosse · Mohammad Norouzi |
Unsupervised Learning of Object Keypoints for Perception and Control | Tejas Kulkarni · Ankush Gupta · Catalin Ionescu · Sebastian Borgeaud · Malcolm Reynolds · Andrew Zisserman · Volodymyr Mnih |
A Domain Agnostic Measure for Monitoring and Evaluating GANs | Paulina Grnarova · Kfir Y. Levy · Aurelien Lucchi · Nathanael Perraudin · Ian Goodfellow · Thomas Hofmann · Andreas Krause |
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting | Aditya Grover · Jiaming Song · Ashish Kapoor · Kenneth Tran · Alekh Agarwal · Eric Horvitz · Stefano Ermon |
Copulas as High-Dimensional Generative Models: Vine Copula Autoencoders | Natasa Tagasovska · Damien Ackerer · Thibault Vatter |
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data | Gabriel Loaiza-Ganem · Sean Perkins · Karen Schroeder · Mark Churchland · John Cunningham |
Discrete Object Generation with Reversible Inductive Construction | Ari Seff · Wenda Zhou · Farhan Damani · Abigail Doyle · Ryan Adams |
Generating Diverse High-Fidelity Images with VQ-VAE-2 | Ali Razavi · Aaron van den Oord · Oriol Vinyals |
Generative Well-intentioned Networks | Justin Cosentino · Jun Zhu |
Graph Normalizing Flows | Jenny Liu · Aviral Kumar &mmiddot; Jimmy Ba · Jamie Kiros · Kevin Swersky |
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model | Wenbo Gong · Sebastian Tschiatschek · Sebastian Nowozin · Richard E Turner · José Miguel Hernández-Lobato · Cheng Zhang |
Integer Discrete Flows and Lossless Compression | Emiel Hoogeboom · Jorn Peters · Rianne van den Berg · Max Welling |
Amortized Bethe Free Energy Minimization for Learning MRFs | Sam Wiseman · Yoon Kim |
MintNet: Building Invertible Neural Networks with Masked Convolutions | Yang Song · Chenlin Meng · Stefano Ermon |
NAOMI: Non-Autoregressive Multiresolution Sequence Imputation | Yukai Liu · Rose Yu · Stephan Zheng · Eric Zhan · Yisong Yue |
ODE2VAE: Deep generative second order ODEs with Bayesian neural networks | Cagatay Yildiz · Markus Heinonen · Harri Lahdesmaki |
Scalable Deep Generative Relational Model with High-Order Node Dependence | Xuhui Fan · Bin Li · Caoyuan Li · Scott SIsson · Ling Chen |
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models | Yuge Shi · Siddharth N · Brooks Paige · Philip Torr |
Variational Temporal Abstraction | Taesup Kim · Sungjin Ahn · Yoshua Bengio |