User contributions for Nkadiyar
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7 November 2017
- 12:2012:20, 7 November 2017 diff hist +9 N File:eq3.png memNN eq3
- 12:1912:19, 7 November 2017 diff hist +9 N File:eq2.png memNN eq2
- 12:1712:17, 7 November 2017 diff hist +16 N File:eq1.png memNN 1st output
- 12:0612:06, 7 November 2017 diff hist +35 Dialog-based Language Learning →Training strategies
- 12:0512:05, 7 November 2017 diff hist +27 N File:fp-fig-1.jpg forward prediction in memNN current
- 12:0512:05, 7 November 2017 diff hist +138 Dialog-based Language Learning →Learning models
- 12:0412:04, 7 November 2017 diff hist +5 N File:pg-fig-1.jpg memNN current
- 12:0112:01, 7 November 2017 diff hist +27 N File:pg-fig.pdf reward based memory network current
- 11:4211:42, 7 November 2017 diff hist +838 Dialog-based Language Learning →Conclusion and future work
- 11:4211:42, 7 November 2017 diff hist +2,146 Dialog-based Language Learning →Experiments
- 11:4111:41, 7 November 2017 diff hist +3,155 Dialog-based Language Learning No edit summary
- 11:3811:38, 7 November 2017 diff hist +2,480 Dialog-based Language Learning →Learning models
- 11:3111:31, 7 November 2017 diff hist +4,420 Dialog-based Language Learning →Dialog-based Supervision tasks
- 11:1611:16, 7 November 2017 diff hist +1,083 Dialog-based Language Learning →Related Work
- 11:1311:13, 7 November 2017 diff hist +49 Dialog-based Language Learning →Background on Memory Networks
- 11:1311:13, 7 November 2017 diff hist +35 N File:EndToEndMemoryNetwork.png NIPS 2016 end to end memory network current
- 11:1111:11, 7 November 2017 diff hist +1,961 Dialog-based Language Learning →Background on Memory Networks
- 11:0811:08, 7 November 2017 diff hist +42 Dialog-based Language Learning →Background on Memory Networks
- 11:0511:05, 7 November 2017 diff hist +26 N File:memory-network.png End to end memory networks current
- 11:0311:03, 7 November 2017 diff hist +1,568 Dialog-based Language Learning →Introduction
- 11:0011:00, 7 November 2017 diff hist +409 N Dialog-based Language Learning Created page with "=Note: Do not start editing until 8th Nov 2017= This page will be published for editing by EOD 7th Nov 2017 This page is a summary for NIPS 2016 paper - Dialog-based Language..."
6 November 2017
- 17:5317:53, 6 November 2017 diff hist +305 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 17:4717:47, 6 November 2017 diff hist +97 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 17:1417:14, 6 November 2017 diff hist +6 Convolutional Sequence to Sequence Learning →Position Embeddings
- 17:1117:11, 6 November 2017 diff hist +112 Convolutional Sequence to Sequence Learning →Introduction
- 17:0917:09, 6 November 2017 diff hist +127 Convolutional Sequence to Sequence Learning →Introduction
- 16:5116:51, 6 November 2017 diff hist +43 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:3416:34, 6 November 2017 diff hist −1 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Proposed Approach
- 16:2216:22, 6 November 2017 diff hist −1 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Introduction
- 16:2116:21, 6 November 2017 diff hist −2 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Introduction
1 November 2017
- 15:4915:49, 1 November 2017 diff hist +428 STAT946F17/ Learning Important Features Through Propagating Activation Differences No edit summary
- 15:3915:39, 1 November 2017 diff hist 0 STAT946F17/ Learning Important Features Through Propagating Activation Differences →Introduction
30 October 2017
- 18:3318:33, 30 October 2017 diff hist +1,054 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 18:1418:14, 30 October 2017 diff hist +7 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Introduction to some Basic Concepts and Issues
28 October 2017
- 12:5112:51, 28 October 2017 diff hist +78 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Related Work
- 12:4512:45, 28 October 2017 diff hist +196 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Introduction
- 12:0612:06, 28 October 2017 diff hist −1 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition editorial changes
2 October 2017
- 14:1314:13, 2 October 2017 diff hist +45 f17Stat946PaperSignUp No edit summary
- 14:0414:04, 2 October 2017 diff hist −1 f17Stat946PaperSignUp No edit summary
- 14:0214:02, 2 October 2017 diff hist +6 f17Stat946PaperSignUp No edit summary
- 14:0114:01, 2 October 2017 diff hist +102 f17Stat946PaperSignUp No edit summary
- 14:0014:00, 2 October 2017 diff hist +20 f17Stat946PaperSignUp No edit summary