User contributions for Dylanspicker
A user with 67 edits. Account created on 25 September 2017.
13 November 2017
- 19:2419:24, 13 November 2017 diff hist +1 Unsupervised Domain Adaptation with Residual Transfer Networks →Working Example (Office-31)
- 19:2319:23, 13 November 2017 diff hist +1,321 Unsupervised Domain Adaptation with Residual Transfer Networks →Introduction
- 19:1719:17, 13 November 2017 diff hist +65 N File:Source-and-Target-Domain-Office-31-Backpack.png Office 31 Dataset (Backpack Images from Amazon, Webcam, and DSLR)
- 01:0101:01, 13 November 2017 diff hist +2,301 N Unsupervised Domain Adaptation with Residual Transfer Networks Created page with "== Introduction == '''Domain Adaptation''' [https://en.wikipedia.org/wiki/Domain_adaptation]is a problem in machine learning which involves taking a model which has been train..."
9 November 2017
- 13:1913:19, 9 November 2017 diff hist +16 FeUdal Networks for Hierarchical Reinforcement Learning →Introduction
- 13:0713:07, 9 November 2017 diff hist +1,425 Learning the Number of Neurons in Deep Networks →Critique
7 November 2017
- 10:1410:14, 7 November 2017 diff hist +947 Convolutional Sequence to Sequence Learning →Background
- 01:3501:35, 7 November 2017 diff hist +133 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Discussion
- 01:1001:10, 7 November 2017 diff hist −12 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 00:5500:55, 7 November 2017 diff hist −1 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Critiques
- 00:5000:50, 7 November 2017 diff hist −25 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 00:4200:42, 7 November 2017 diff hist +79 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Introduction
2 November 2017
- 01:5401:54, 2 November 2017 diff hist +94 m When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Experiments
- 01:3801:38, 2 November 2017 diff hist +1,038 STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 01:2001:20, 2 November 2017 diff hist −12 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Introduction
31 October 2017
- 09:0309:03, 31 October 2017 diff hist +384 m Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Boosting CNN
- 08:4608:46, 31 October 2017 diff hist +416 m Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Data Pre-Processing