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28 October 2017
- 16:4816:48, 28 October 2017 diff hist −1,282 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Inverse Autoregressive Flow
- 16:4716:47, 28 October 2017 diff hist −5 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:4416:44, 28 October 2017 diff hist −3,212 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Variational Inference using Normalizing Flows
- 16:4316:43, 28 October 2017 diff hist +1,661 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:4216:42, 28 October 2017 diff hist −11,363 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Black-box Variational Inference
- 16:4216:42, 28 October 2017 diff hist +31 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting No edit summary
- 16:3816:38, 28 October 2017 diff hist −1,395 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting No edit summary
- 16:3616:36, 28 October 2017 diff hist +29,727 N meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting Created page with "==Introduction== One of the most common ways to formalize machine learning models is through the use of $\textbf{latent variable models}$, wherein we have a probabilistic mod..."
- 16:3516:35, 28 October 2017 diff hist +10 f17Stat946PaperSignUp →Paper presentation
- 16:3316:33, 28 October 2017 diff hist +147 f17Stat946PaperSignUp →Paper presentation
25 October 2017
- 23:4923:49, 25 October 2017 diff hist +178 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →References
- 23:4823:48, 25 October 2017 diff hist +19 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Introduction
- 23:4623:46, 25 October 2017 diff hist +396 STAT946F17/ Improved Variational Inference with Inverse Autoregressive Flow →Introduction
- 23:2923:29, 25 October 2017 diff hist +7 Learning What and Where to Draw →Related Work
- 23:2823:28, 25 October 2017 diff hist +290 Learning What and Where to Draw →Related Work
- 23:2823:28, 25 October 2017 diff hist +159 Learning What and Where to Draw →References
22 October 2017
- 22:3022:30, 22 October 2017 diff hist +151 Learning the Number of Neurons in Deep Networks →References
- 22:2922:29, 22 October 2017 diff hist +4 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 22:2822:28, 22 October 2017 diff hist −1 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection
- 22:2722:27, 22 October 2017 diff hist +257 Learning the Number of Neurons in Deep Networks →Model Training and Model Selection