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Pixel Recurrent Neural Networks

25 January 2016

Papers citing "Pixel Recurrent Neural Networks"

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Title
Three scenarios for continual learning Gido M. van de Ven A. Tolias CLL 104 897 0 15 Apr 2019
Improved Precision and Recall Metric for Assessing Generative Models Tuomas Kynkaanniemi Tero Karras S. Laine J. Lehtinen Timo Aila EGVM 163 868 0 15 Apr 2019
Biphasic Learning of GANs for High-Resolution Image-to-Image Translation Jie Cao Huaibo Huang Yi Li Jingtuo Liu Ran He Zhenan Sun GAN 65 4 0 14 Apr 2019
Information Theoretic Lower Bounds on Negative Log Likelihood Luis A. Lastras 54 6 0 12 Apr 2019
Supervised Anomaly Detection based on Deep Autoregressive Density Estimators Tomoharu Iwata Yuki Yamanaka 51 13 0 12 Apr 2019
Autoregressive Energy Machines C. Nash Conor Durkan 78 55 0 11 Apr 2019
RawNet: Fast End-to-End Neural Vocoder Yunchao He Yujun Wang 25 2 0 10 Apr 2019
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems Jiaxuan You Yichen Wang Aditya Pal Pong Eksombatchai C. Rosenberg J. Leskovec 73 125 0 08 Apr 2019
Wasserstein Adversarial Regularization (WAR) on label noise Kilian Fatras B. Bushan Sylvain Lobry Rémi Flamary D. Tuia Nicolas Courty 81 25 0 08 Apr 2019
Recovering Faces from Portraits with Auxiliary Facial Attributes Fatemeh Shiri Xin Yu Fatih Porikli Leonid Sigal Piotr Koniusz CVBM 3DH 65 13 0 07 Apr 2019
Identity-preserving Face Recovery from Stylized Portraits Fatemeh Shiri Xin Yu Fatih Porikli Leonid Sigal Piotr Koniusz CVBM 110 23 0 07 Apr 2019
Constrained Generative Adversarial Networks for Interactive Image Generation Eric Heim GAN 62 26 0 03 Apr 2019
Image Generation From Small Datasets via Batch Statistics Adaptation Atsuhiro Noguchi Tatsuya Harada 112 202 0 03 Apr 2019
Generative predecessor models for sample-efficient imitation learning Yannick Schroecker Mel Vecerík Jonathan Scholz VLM 60 31 0 01 Apr 2019
Learning Content-Weighted Deep Image Compression Mu Li W. Zuo Shuhang Gu J. You David C. Zhang 70 73 0 01 Apr 2019
COCO-GAN: Generation by Parts via Conditional Coordinating Chieh Hubert Lin Chia-Che Chang Yu-Sheng Chen Da-Cheng Juan Wei Wei Hwann-Tzong Chen 99 136 0 30 Mar 2019
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data Zixing Zhang Jing Han Kun Qian C. Janott Yanan Guo Bjoern Schuller 64 43 0 29 Mar 2019
GAN-based Pose-aware Regulation for Video-based Person Re-identification A. Borgia Yang Hua Elyor Kodirov N. Robertson 47 11 0 27 Mar 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Guo-Jun Qi Jiebo Luo SSL 61 246 0 27 Mar 2019
Implicit Generation and Generalization in Energy-Based Models Yilun Du Igor Mordatch BDL DiffM 74 40 0 20 Mar 2019
Counterpoint by Convolution Cheng-Zhi Anna Huang Tim Cooijmans Adam Roberts Aaron Courville Douglas Eck BDL 81 151 0 18 Mar 2019
Generate What You Can't See - a View-dependent Image Generation K. Piaskowski Rafal Staszak D. Belter GAN 43 3 0 15 Mar 2019
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks Animesh Karnewar Oliver Wang GAN 85 50 0 14 Mar 2019
Video Generation from Single Semantic Label Map Junting Pan Chengyu Wang Xu Jia Jing Shao Lu Sheng Junjie Yan Xiaogang Wang VGen 55 104 0 11 Mar 2019
Hierarchical Autoregressive Image Models with Auxiliary Decoders J. Fauw Sander Dieleman Karen Simonyan GAN 98 37 0 06 Mar 2019
High-Fidelity Image Generation With Fewer Labels Mario Lucic Michael Tschannen Marvin Ritter Xiaohua Zhai Olivier Bachem Sylvain Gelly GAN OOD 127 159 0 06 Mar 2019
VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation Manoj Kumar Mohammad Babaeizadeh D. Erhan Chelsea Finn Sergey Levine Laurent Dinh Durk Kingma VGen 98 132 0 04 Mar 2019
No Padding Please: Efficient Neural Handwriting Recognition Gideon Maillette de Buy Wenniger Lambert Schomaker Andy Way 64 18 0 28 Feb 2019
Learning about an exponential amount of conditional distributions Mohamed Ishmael Belghazi Maxime Oquab Yann LeCun David Lopez-Paz BDL SSL 66 28 0 22 Feb 2019
STCN: Stochastic Temporal Convolutional Networks Emre Aksan Otmar Hilliges BDL 59 61 0 18 Feb 2019
MaCow: Masked Convolutional Generative Flow Xuezhe Ma Xiang Kong Shanghang Zhang Eduard H. Hovy DRL 74 66 0 12 Feb 2019
Insertion Transformer: Flexible Sequence Generation via Insertion Operations Mitchell Stern William Chan J. Kiros Jakob Uszkoreit KELM 101 252 0 08 Feb 2019
Generating the support with extreme value losses N. Guttenberg 23 0 0 08 Feb 2019
BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling Lars Maaløe Marco Fraccaro Valentin Liévin Ole Winther BDL DRL 93 215 0 06 Feb 2019
Knowledge-Based Regularization in Generative Modeling Naoya Takeishi Yoshinobu Kawahara GAN 51 0 0 06 Feb 2019
A Forest from the Trees: Generation through Neighborhoods Yang Li Tianxiang Gao Junier B. Oliva 69 5 0 04 Feb 2019
Re-examination of the Role of Latent Variables in Sequence Modeling Zihang Dai Guokun Lai Yiming Yang Shinjae Yoo BDL DRL 71 4 0 04 Feb 2019
TF-Replicator: Distributed Machine Learning for Researchers P. Buchlovsky David Budden Dominik Grewe Chris Jones John Aslanides ... Aidan Clark Sergio Gomez Colmenarejo Aedan Pope Fabio Viola Dan Belov GNN OffRL AI4CE 81 20 0 01 Feb 2019
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design Jonathan Ho Xi Chen A. Srinivas Yan Duan Pieter Abbeel DRL 105 451 0 01 Feb 2019
Emerging Convolutions for Generative Normalizing Flows Emiel Hoogeboom Rianne van den Berg Max Welling DRL 135 98 0 30 Jan 2019
High-Quality Self-Supervised Deep Image Denoising S. Laine Tero Karras J. Lehtinen Timo Aila 78 342 0 29 Jan 2019
Semi-Unsupervised Learning: Clustering and Classifying using Ultra-Sparse Labels M. Willetts Stephen J. Roberts Christopher C Holmes 46 4 0 24 Jan 2019
Maximum Entropy Generators for Energy-Based Models Rithesh Kumar Sherjil Ozair Anirudh Goyal Aaron Courville Yoshua Bengio 58 113 0 24 Jan 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 77 1 0 24 Jan 2019
Coupling the reduced-order model and the generative model for an importance sampling estimator Xiaoliang Wan Shuangqing Wei 43 10 0 23 Jan 2019
Pedestrian Attribute Recognition: A Survey Tianlin Li Shaofei Zheng Rui Yang Aihua Zheng Zhe Chen Jin Tang Bin Luo CVBM 95 128 0 22 Jan 2019
Modeling Human Motion with Quaternion-based Neural Networks Dario Pavllo Christoph Feichtenhofer Michael Auli David Grangier 3DH 83 176 0 21 Jan 2019
Practical Lossless Compression with Latent Variables using Bits Back Coding James Townsend Thomas Bird David Barber DRL 94 142 0 15 Jan 2019
RNN-based Generative Model for Fine-Grained Sketching A. Jenal Nikolay Savinov Torsten Sattler G. Chaurasia GAN 32 4 0 13 Jan 2019
Undirected Graphical Models as Approximate Posteriors Arash Vahdat Evgeny Andriyash W. Macready 64 2 0 11 Jan 2019