PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

19 January 2017

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Papers citing "PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications"

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Title
Adversarial score matching and improved sampling for image generation Alexia Jolicoeur-Martineau Remi Piche-Taillefer Rémi Tachet des Combes Ioannis Mitliagkas DiffM 89 126 0 11 Sep 2020
Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain Beren Millidge Alexander Tschantz A. Seth Christopher L. Buckley ODL 81 17 0 11 Sep 2020
WaveGrad: Estimating Gradients for Waveform Generation Nanxin Chen Yu Zhang Heiga Zen Ron J. Weiss Mohammad Norouzi William Chan DiffM BDL 144 795 0 02 Sep 2020
Biased Mixtures Of Experts: Enabling Computer Vision Inference Under Data Transfer Limitations Alhabib Abbas Y. Andreopoulos MoE 100 18 0 21 Aug 2020
Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications Xuan Li Xun Huang Jiahui Yu Ting-Chun Wang Arun Mallya GAN 170 155 0 06 Aug 2020
DeepVA: Bridging Cognition and Computation through Semantic Interaction and Deep Learning Yail Bian John E. Wenskovitch Chris North 37 11 0 31 Jul 2020
Autoregressive Unsupervised Image Segmentation Yassine Ouali C´eline Hudelot Myriam Tami SSL 87 87 0 16 Jul 2020
Relaxed-Responsibility Hierarchical Discrete VAEs M. Willetts Xenia Miscouridou Stephen J. Roberts Chris Holmes BDL DRL 86 5 0 14 Jul 2020
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation Yuxuan Song Ning Miao Hao Zhou Lantao Yu Mingxuan Wang Lei Li 62 7 0 12 Jul 2020
Variable Skipping for Autoregressive Range Density Estimation Eric Liang Zongheng Yang Ion Stoica Pieter Abbeel Yan Duan Xi Chen 110 4 0 10 Jul 2020
NVAE: A Deep Hierarchical Variational Autoencoder Arash Vahdat Jan Kautz BDL 114 919 0 08 Jul 2020
Neuro-Symbolic Generative Art: A Preliminary Study Gunjan Aggarwal Devi Parikh GAN 48 5 0 04 Jul 2020
Sliced Iterative Normalizing Flows B. Dai U. Seljak 89 37 0 01 Jul 2020
Conditional GAN for timeseries generation Kaleb E. Smith Anthony O. Smith AI4TS 75 82 0 30 Jun 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention Angelos Katharopoulos Apoorv Vyas Nikolaos Pappas Franccois Fleuret 218 1,798 0 29 Jun 2020
LayoutTransformer: Layout Generation and Completion with Self-attention Kamal Gupta Justin Lazarow Alessandro Achille Larry S. Davis Vijay Mahadevan Abhinav Shrivastava ViT 99 137 0 25 Jun 2020
Simple and Effective VAE Training with Calibrated Decoders Oleh Rybkin Kostas Daniilidis Sergey Levine 91 95 0 23 Jun 2020
Locally Masked Convolution for Autoregressive Models Ajay Jain Pieter Abbeel Deepak Pathak DiffM OffRL 120 32 0 22 Jun 2020
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression Rianne van den Berg A. Gritsenko Mostafa Dehghani C. Sønderby Tim Salimans 92 61 0 22 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 915 18,495 0 19 Jun 2020
Latent Video Transformer Ruslan Rakhimov Denis Volkhonskiy Alexey Artemov Denis Zorin Evgeny Burnaev VGen 100 121 0 18 Jun 2020
NeuroCard: One Cardinality Estimator for All Tables Zongheng Yang Amog Kamsetty Sifei Luan Eric Liang Yan Duan Xi Chen Ion Stoica 72 107 0 15 Jun 2020
VAEs in the Presence of Missing Data Mark Collier A. Nazábal Christopher K. I. Williams DRL 76 30 0 09 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 131 303 0 09 Jun 2020
Super-resolution Variational Auto-Encoders Ioannis Gatopoulos M. Stol Jakub M. Tomczak SupR DiffM 51 15 0 09 Jun 2020
The Convolution Exponential and Generalized Sylvester Flows Emiel Hoogeboom Victor Garcia Satorras Jakub M. Tomczak Max Welling 83 29 0 02 Jun 2020
The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models Stephan Rabanser Tim Januschowski Valentin Flunkert David Salinas Jan Gasthaus BDL AI4TS 80 20 0 20 May 2020
Vector Quantized Contrastive Predictive Coding for Template-based Music Generation Gaëtan Hadjeres Léopold Crestel 82 18 0 21 Apr 2020
End-to-End Learning for Video Frame Compression with Self-Attention Nannan Zou Honglei Zhang Francesco Cricri Hamed R. Tavakoli J. Lainema Emre B. Aksu M. Hannuksela Esa Rahtu 20 10 0 20 Apr 2020
A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays Ch. Srinivasa Rao Jingyun Liang Runhao Zeng Qi Chen Huazhu Fu Yanwu Xu Mingkui Tan AAML 16 7 0 31 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 179 123 0 26 Mar 2020
On Information Plane Analyses of Neural Network Classifiers -- A Review Bernhard C. Geiger 91 51 0 21 Mar 2020
What Information Does a ResNet Compress? L. N. Darlow Amos Storkey SSL 51 12 0 13 Mar 2020
Likelihood Regret: An Out-of-Distribution Detection Score For Variational Auto-encoder Zhisheng Xiao Qing Yan Y. Amit OODD 183 195 0 06 Mar 2020
Uncertainty Estimation Using a Single Deep Deterministic Neural Network Joost R. van Amersfoort Lewis Smith Yee Whye Teh Y. Gal UQCV BDL 110 55 0 04 Mar 2020
Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data Yen-Chang Hsu Yilin Shen Hongxia Jin Z. Kira OODD 124 579 0 26 Feb 2020
A Theory of Usable Information Under Computational Constraints Yilun Xu Shengjia Zhao Jiaming Song Russell Stewart Stefano Ermon 86 175 0 25 Feb 2020
PolyGen: An Autoregressive Generative Model of 3D Meshes C. Nash Yaroslav Ganin A. Eslami Peter W. Battaglia AI4CE 106 262 0 23 Feb 2020
Predictive Sampling with Forecasting Autoregressive Models Auke Wiggers Emiel Hoogeboom BDL 68 16 0 23 Feb 2020
Source Separation with Deep Generative Priors V. Jayaram John Thickstun 92 40 0 19 Feb 2020
Deep Gaussian Markov Random Fields Per Sidén Fredrik Lindsten BDL 57 22 0 18 Feb 2020
GACEM: Generalized Autoregressive Cross Entropy Method for Multi-Modal Black Box Constraint Satisfaction Kourosh Hakhamaneshi Keertana Settaluri Pieter Abbeel Vladimir M. Stojanović 51 1 0 17 Feb 2020
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving Yang Song Chenlin Meng Renjie Liao Stefano Ermon 87 29 0 10 Feb 2020
Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow Didrik Nielsen Ole Winther MQ 235 13 0 06 Feb 2020
Deep Learning-based Image Compression with Trellis Coded Quantization Binglin Li Mohammad Akbari Jie Liang Yang Wang MQ 41 9 0 26 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 106 842 0 20 Jan 2020
Towards GAN Benchmarks Which Require Generalization Ishaan Gulrajani Colin Raffel Luke Metz 98 59 0 10 Jan 2020
HiLLoC: Lossless Image Compression with Hierarchical Latent Variable Models James Townsend Thomas Bird Julius Kunze David Barber BDL VLM 149 56 0 20 Dec 2019
Axial Attention in Multidimensional Transformers Jonathan Ho Nal Kalchbrenner Dirk Weissenborn Tim Salimans 117 533 0 20 Dec 2019
Hybrid Physical-Deep Learning Model for Astronomical Inverse Problems F. Lanusse Peter Melchior Fred Moolekamp BDL 63 12 0 09 Dec 2019