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Pixel Recurrent Neural Networks

25 January 2016

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,388 papers shown

Title
Preventing Posterior Collapse with delta-VAEs Ali Razavi Aaron van den Oord Ben Poole Oriol Vinyals DRL 94 171 0 10 Jan 2019
Tree Tensor Networks for Generative Modeling Song Cheng Lei Wang Tao Xiang Pan Zhang 114 131 0 08 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders Xuezhe Ma Chunting Zhou Eduard H. Hovy DRL 75 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
Adversarial Learning of a Sampler Based on an Unnormalized Distribution Chunyuan Li Ke Bai Jianqiao Li Guoyin Wang Changyou Chen Lawrence Carin 150 10 0 03 Jan 2019
Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model Tian Han Erik Nijkamp Xiaolin Fang Mitch Hill Song-Chun Zhu Ying Nian Wu 87 68 0 28 Dec 2018
Coupled Recurrent Network (CRN) Lin Sun Kui Jia Yuejia Shen Silvio Savarese Dit-Yan Yeung Bertram E. Shi 40 4 0 25 Dec 2018
Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors Yedid Hoshen Jitendra Malik GAN 70 56 0 21 Dec 2018
RankGAN: A Maximum Margin Ranking GAN for Generating Faces Rahul Dey Felix Juefei Xu Vishnu Boddeti Marios Savvides CVBM GAN 41 22 0 19 Dec 2018
Learning to Generate Music with BachProp Florian Colombo Johanni Brea W. Gerstner 25 6 0 17 Dec 2018
Recent Advances in Autoencoder-Based Representation Learning Michael Tschannen Olivier Bachem Mario Lucic OOD SSL DRL 89 447 0 12 Dec 2018
Learning Controllable Fair Representations Jiaming Song Pratyusha Kalluri Aditya Grover Shengjia Zhao Stefano Ermon FaML 98 180 0 11 Dec 2018
Style Transfer and Extraction for the Handwritten Letters Using Deep Learning Omar Mohammed Gérard Bailly D. Pellier 46 1 0 10 Dec 2018
Fast convergence rates of deep neural networks for classification Yongdai Kim Ilsang Ohn Dongha Kim 3DH 3DV 85 81 0 10 Dec 2018
A Survey of Unsupervised Deep Domain Adaptation Garrett Wilson D. Cook OOD 204 824 0 06 Dec 2018
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling Jacob Menick Nal Kalchbrenner 106 151 0 04 Dec 2018
Deep Generative Modeling of LiDAR Data Lucas Caccia H. V. Hoof Aaron Courville Joelle Pineau 3DPC 242 76 0 04 Dec 2018
Practical Full Resolution Learned Lossless Image Compression Fabian Mentzer E. Agustsson Michael Tschannen Radu Timofte Luc Van Gool 112 200 0 30 Nov 2018
Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound Hadi Kazemi Sobhan Soleymani Fariborz Taherkhani Seyed Mehdi Iranmanesh Nasser M. Nasrabadi 72 36 0 29 Nov 2018
Image Generation from Layout Bo Zhao Lili Meng Weidong Yin Leonid Sigal 106 210 0 28 Nov 2018
Label-Noise Robust Generative Adversarial Networks Takuhiro Kaneko Yoshitaka Ushiku Tatsuya Harada NoLa 104 60 0 27 Nov 2018
Class-Distinct and Class-Mutual Image Generation with GANs Takuhiro Kaneko Yoshitaka Ushiku Tatsuya Harada 93 9 0 27 Nov 2018
Noise2Void - Learning Denoising from Single Noisy Images Alexander Krull T. Buchholz Florian Jug 126 1,110 0 27 Nov 2018
Deep Learned Frame Prediction for Video Compression Serkan Sulun 21 5 0 27 Nov 2018
Sequential Neural Methods for Likelihood-free Inference Conor Durkan George Papamakarios Iain Murray BDL 187 25 0 21 Nov 2018
Learning deep kernels for exponential family densities W. Li Danica J. Sutherland Heiko Strathmann Arthur Gretton BDL 103 74 0 20 Nov 2018
Coupled Recurrent Models for Polyphonic Music Composition John Thickstun Zaïd Harchaoui Dean Phillips Foster Sham Kakade 42 12 0 20 Nov 2018
Recurrent Convolutions for Causal 3D CNNs Gurkirt Singh Fabio Cuzzolin 3DPC 49 0 0 17 Nov 2018
An Interpretable Generative Model for Handwritten Digit Image Synthesis Yao Zhu Saksham Suri Pranav Kulkarni Yueru Chen Jiali Duan C.-C. Jay Kuo GAN 39 4 0 11 Nov 2018
Scene Parsing via Dense Recurrent Neural Networks with Attentional Selection Heng Fan Peng Chu Longin Jan Latecki Haibin Ling 79 14 0 09 Nov 2018
Benchmarking Deep Sequential Models on Volatility Predictions for Financial Time Series Qiang Zhang Kyle Birkeland Yaodong Yang Yixiao Liu 64 9 0 08 Nov 2018
Robustness of Conditional GANs to Noisy Labels Kerry J. Halupka A. Khetan Zinan Lin Stephen Moore NoLa 84 81 0 08 Nov 2018
Simple, Distributed, and Accelerated Probabilistic Programming Like Hui Matthew Hoffman Siyuan Ma Christopher Suter Srinivas Vasudevan Alexey Radul M. Belkin Rif A. Saurous BDL 85 56 0 05 Nov 2018
Content preserving text generation with attribute controls Lajanugen Logeswaran Honglak Lee Samy Bengio 97 118 0 03 Nov 2018
Invertible Residual Networks Jens Behrmann Will Grathwohl Ricky T. Q. Chen David Duvenaud J. Jacobsen UQCV TPM 183 625 0 02 Nov 2018
Deep Structured Prediction with Nonlinear Output Transformations Colin Graber Ofer Meshi Alex Schwing BDL 90 25 0 01 Nov 2018
Generating new pictures in complex datasets with a simple neural network Galin Georgiev GAN BDL DRL 16 0 0 30 Oct 2018
Generating equilibrium molecules with deep neural networks Niklas W. A. Gebauer M. Gastegger Kristof T. Schütt BDL 81 38 0 26 Oct 2018
MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation Wei Tang Teng Li Fudong Nian Ming Wang GAN 35 10 0 19 Oct 2018
Investigating Object Compositionality in Generative Adversarial Networks Sjoerd van Steenkiste Karol Kurach Jürgen Schmidhuber Sylvain Gelly GAN OCL 96 20 0 17 Oct 2018
Point Cloud GAN Chun-Liang Li Manzil Zaheer Yang Zhang Barnabás Póczós Ruslan Salakhutdinov 3DPC 97 212 0 13 Oct 2018
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention Yongbin Sun Yue Wang Ziwei Liu J. Siegel Sanjay E. Sarma 3DPC 98 196 0 12 Oct 2018
Learning Deep Representations for Semantic Image Parsing: a Comprehensive Overview Lili Huang Jiefeng Peng Ruimao Zhang Guanbin Li Liang Lin VLM SSL SSeg 72 13 0 10 Oct 2018
A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models Ying Nian Wu Ruiqi Gao Tian Han Song-Chun Zhu TPM 62 18 0 09 Oct 2018
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs Yogesh Balaji Hamed Hassani Rama Chellappa Soheil Feizi GAN DRL 88 21 0 09 Oct 2018
Probabilistic Semantic Inpainting with Pixel Constrained CNNs Emilien Dupont S. Suresha 81 14 0 08 Oct 2018
Deep Diffeomorphic Normalizing Flows Hadi Salman Payman Yadollahpour Tom Fletcher N. Batmanghelich 78 27 0 08 Oct 2018
Spurious samples in deep generative models: bug or feature? Balázs Kégl Mehdi Cherti A. Kazakçi 35 4 0 03 Oct 2018
FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models Will Grathwohl Ricky T. Q. Chen J. Bettencourt Ilya Sutskever David Duvenaud DRL 169 883 0 02 Oct 2018
Generative replay with feedback connections as a general strategy for continual learning Gido M. van de Ven A. Tolias CLL KELM 107 226 0 27 Sep 2018