v1v2v3 (latest)

Pixel Recurrent Neural Networks

25 January 2016

Papers citing "Pixel Recurrent Neural Networks"

50 / 1,388 papers shown

Title
SynFi: Automatic Synthetic Fingerprint Generation M. Riazi Seyed M. Chavoshian F. Koushanfar 48 17 0 16 Feb 2020
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning Yannick Schroecker Charles Isbell OffRL 88 13 0 15 Feb 2020
ARMA Nets: Expanding Receptive Field for Dense Prediction Jiahao Su Shiqi Wang Furong Huang 65 1 0 15 Feb 2020
Learning End-to-End Lossy Image Compression: A Benchmark Yueyu Hu Wenhan Yang Zhan Ma Jiaying Liu 129 166 0 10 Feb 2020
Face Hallucination with Finishing Touches Yang Zhang Ivor W. Tsang Jun Li Ping Liu Xiaobo Lu Xin Yu CVBM SupR 75 28 0 09 Feb 2020
How to train your neural ODE: the world of Jacobian and kinetic regularization Chris Finlay J. Jacobsen L. Nurbekyan Adam M. Oberman 94 302 0 07 Feb 2020
Multimodal Controller for Generative Models Enmao Diao Jie Ding Vahid Tarokh 77 3 0 07 Feb 2020
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow Didrik Nielsen Ole Winther MQ 235 13 0 06 Feb 2020
Forecasting Industrial Aging Processes with Machine Learning Methods Mihail Bogojeski Simeon Sauer F. Horn K. Müller AI4CE 25 21 0 05 Feb 2020
Continuous Melody Generation via Disentangled Short-Term Representations and Structural Conditions Kai Chen Gus Xia Shlomo Dubnov MGen 67 18 0 05 Feb 2020
On Positive-Unlabeled Classification in GAN Tianyu Guo Chang Xu Jiajun Huang Yunhe Wang Boxin Shi Chao Xu Dacheng Tao GAN 61 35 0 04 Feb 2020
Teaching Machines to Converse Jiwei Li 91 4 0 31 Jan 2020
Learning Discrete Distributions by Dequantization Emiel Hoogeboom Taco S. Cohen Jakub M. Tomczak DRL 104 31 0 30 Jan 2020
Lossless Compression of Mosaic Images with Convolutional Neural Network Prediction Seyed Mehdi Ayyoubzadeh Xiaolin Wu 44 3 0 28 Jan 2020
Unsupervised Program Synthesis for Images By Sampling Without Replacement Chenghui Zhou Chun-Liang Li Barnabás Póczós 74 1 0 27 Jan 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation Chence Shi Minkai Xu Zhaocheng Zhu Weinan Zhang Ming Zhang Jian Tang 237 439 0 26 Jan 2020
Motion Classification using Kinematically Sifted ACGAN-Synthesized Radar Micro-Doppler Signatures B. Erol S. Gurbuz M. Amin 24 66 0 19 Jan 2020
Text-to-Image Generation with Attention Based Recurrent Neural Networks Tehseen Zia Shahan Arif Shakeeb Murtaza M. A. Ullah 35 7 0 18 Jan 2020
Boosting Occluded Image Classification via Subspace Decomposition Based Estimation of Deep Features Feng Cen Guanghui Wang 87 32 0 13 Jan 2020
Towards GAN Benchmarks Which Require Generalization Ishaan Gulrajani Colin Raffel Luke Metz 106 59 0 10 Jan 2020
Deep Learning for Free-Hand Sketch: A Survey Peng Xu Timothy M. Hospedales Qiyue Yin Yi-Zhe Song Tao Xiang Liang Wang 3DV 135 120 0 08 Jan 2020
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation Jie Cao Huaibo Huang Yi Li Ran He Zhenan Sun 126 7 0 05 Jan 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning Soochan Lee Junsoo Ha Dongsu Zhang Gunhee Kim BDL CLL 90 212 0 03 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends S. Latif R. Rana Sara Khalifa Raja Jurdak Junaid Qadir Björn W. Schuller AI4TS 96 82 0 02 Jan 2020
Model Inversion Networks for Model-Based Optimization Aviral Kumar Sergey Levine OffRL 97 100 0 31 Dec 2019
Semi-Supervised Learning with Normalizing Flows Pavel Izmailov Polina Kirichenko Marc Finzi A. Wilson DRL BDL 95 115 0 30 Dec 2019
Axial Attention in Multidimensional Transformers Jonathan Ho Nal Kalchbrenner Dirk Weissenborn Tim Salimans 117 534 0 20 Dec 2019
Adversarial symmetric GANs: bridging adversarial samples and adversarial networks Faqiang Liu M. Xu Guoqi Li Jing Pei Luping Shi R. Zhao AAML GAN 36 11 0 20 Dec 2019
APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection A. Braunegg Amartya Chakraborty Michael Krumdick Nicole Lape Sara Leary Keith Manville Elizabeth M. Merkhofer Laura Strickhart Matthew Walmer AAML 71 47 0 17 Dec 2019
A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture Recognition Ulysse Côté-Allard Gabriel Gagnon-Turcotte A. Phinyomark K. Glette Erik J. Scheme François Laviolette Benoit Gosselin 26 7 0 16 Dec 2019
Learning Canonical Representations for Scene Graph to Image Generation Roei Herzig Amir Bar Huijuan Xu Gal Chechik Trevor Darrell Amir Globerson GNN OCL 109 109 0 16 Dec 2019
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration Haojie Liu Han shen Lichao Huang Ming Lu Tong Chen Zhan Ma 72 58 0 13 Dec 2019
BINet: a binary inpainting network for deep patch-based image compression A. Nortje Willie Brink H. Engelbrecht Herman Kamper MQ 38 7 0 11 Dec 2019
Deep symbolic regression: Recovering mathematical expressions from data via risk-seeking policy gradients Brenden K. Petersen Mikel Landajuela T. Nathan Mundhenk Claudio Santiago Soo K. Kim Joanne T. Kim 68 320 0 10 Dec 2019
Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems F. Lanusse Peter Melchior Fred Moolekamp BDL 63 12 0 09 Dec 2019
Neural Networks with Cheap Differential Operators Ricky T. Q. Chen David Duvenaud 67 35 0 08 Dec 2019
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 219 1,724 0 05 Dec 2019
Neural Machine Translation: A Review and Survey Felix Stahlberg 3DV AI4TS MedIm 140 332 0 04 Dec 2019
Flow Contrastive Estimation of Energy-Based Models Ruiqi Gao Erik Nijkamp Diederik P. Kingma Zhen Xu Andrew M. Dai Ying Nian Wu GAN 101 115 0 02 Dec 2019
Learning Likelihoods with Conditional Normalizing Flows Christina Winkler Daniel E. Worrall Emiel Hoogeboom Max Welling TPM 309 227 0 29 Nov 2019
Noise Robust Generative Adversarial Networks Takuhiro Kaneko Tatsuya Harada NoLa OOD 112 31 0 26 Nov 2019
Natural Image Manipulation for Autoregressive Models Using Fisher Scores Wilson Yan Jonathan Ho Pieter Abbeel 28 0 0 25 Nov 2019
dpVAEs: Fixing Sample Generation for Regularized VAEs Riddhish Bhalodia Iain Lee Shireen Y. Elhabian DRL 126 10 0 24 Nov 2019
Self-Enhanced Convolutional Network for Facial Video Hallucination Chaowei Fang Guanbin Li Xiaoguang Han Yizhou Yu SupR 65 9 0 23 Nov 2019
Adversarial Robustness of Flow-Based Generative Models Phillip E. Pope Yogesh Balaji Soheil Feizi AAML 48 20 0 20 Nov 2019
Sibling Neural Estimators: Improving Iterative Image Decoding with Gradient Communication A. Mali Alexander Ororbia C. Lee Giles GAN 53 6 0 20 Nov 2019
Human Annotations Improve GAN Performances Juanyong Duan S. Ong Qi Zhao 37 0 0 15 Nov 2019
Location-aware Upsampling for Semantic Segmentation Xiangyu He Zitao Mo Qiang Chen Anda Cheng Peisong Wang Jian Cheng 57 2 0 13 Nov 2019
Experience-Embedded Visual Foresight Yen-Chen Lin Maria Bauzá Phillip Isola 117 36 0 12 Nov 2019
Hardware-aware Pruning of DNNs using LFSR-Generated Pseudo-Random Indices Foroozan Karimzadeh N. Cao Brian Crafton Justin Romberg A. Raychowdhury 34 13 0 09 Nov 2019