User contributions for Dmittal
Jump to navigation
Jump to search
28 October 2017
- 18:3118:31, 28 October 2017 diff hist 0 File:1.png Dmittal uploaded a new version of File:1.png
- 18:2418:24, 28 October 2017 diff hist +6 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting No edit summary
- 18:2318:23, 28 October 2017 diff hist +24 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting No edit summary
- 18:2218:22, 28 October 2017 diff hist +24 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting No edit summary
- 18:2018:20, 28 October 2017 diff hist −12 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting No edit summary
- 16:5116:51, 28 October 2017 diff hist −2,067 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting No edit summary
- 16:5016:50, 28 October 2017 diff hist +3 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →References
- 16:4916:49, 28 October 2017 diff hist +463 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →References
- 16:4916:49, 28 October 2017 diff hist −148 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Implementation
- 16:4916:49, 28 October 2017 diff hist −3,863 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Inverse Autoregressive Transformations or, Whence Inverse Autoregressive Flow?
- 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