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27 October 2017
- 14:4814:48, 27 October 2017 diff hist −77 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 14:4814:48, 27 October 2017 diff hist +1,901 STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 14:1814:18, 27 October 2017 diff hist +656 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 00:4200:42, 27 October 2017 diff hist +1 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
- 00:4200:42, 27 October 2017 diff hist −8 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
- 00:4100:41, 27 October 2017 diff hist −1 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 00:4100:41, 27 October 2017 diff hist +33 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 00:4000:40, 27 October 2017 diff hist +347 STAT946F17/ Learning Important Features Through Propagating Activation Differences →DeepLIFT scheme
- 00:3500:35, 27 October 2017 diff hist −1 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →References
- 00:3500:35, 27 October 2017 diff hist +136 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →References
- 00:3300:33, 27 October 2017 diff hist +105 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
- 00:2100:21, 27 October 2017 diff hist +5 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
- 00:2100:21, 27 October 2017 diff hist +104 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
- 00:1900:19, 27 October 2017 diff hist +931 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Sensitivity Analysis
26 October 2017
- 23:5623:56, 26 October 2017 diff hist +71 m f17Stat946PaperSignUp →Paper presentation
- 23:5623:56, 26 October 2017 diff hist +777 N STAT946F17/ Learning Important Features Through Propagating Activation Differences Created page with "This is a summary of ICML 2017 paper [1]. == Introduction == Deep neuron network is purported for its "black box" nature which is a barrier to adoption in applications where..."
- 23:3123:31, 26 October 2017 diff hist +285 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Bias-Variance Trade-Off
- 23:2623:26, 26 October 2017 diff hist +924 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Introduction to some Basic Concepts and Issues
2 October 2017
- 20:3220:32, 2 October 2017 diff hist +78 m f17Stat946PaperSignUp →Paper presentation
- 20:2320:23, 2 October 2017 diff hist +150 m f17Stat946PaperSignUp →Paper presentation