User contributions for Mgohari2
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17 December 2015
- 17:3117:31, 17 December 2015 diff hist +399 from Machine Learning to Machine Reasoning No edit summary
- 17:2817:28, 17 December 2015 diff hist +123 deep Sparse Rectifier Neural Networks No edit summary
15 December 2015
- 16:1816:18, 15 December 2015 diff hist +78 distributed Representations of Words and Phrases and their Compositionality No edit summary
- 16:0916:09, 15 December 2015 diff hist +494 distributed Representations of Words and Phrases and their Compositionality No edit summary
- 15:4815:48, 15 December 2015 diff hist +22 distributed Representations of Words and Phrases and their Compositionality No edit summary
- 15:4315:43, 15 December 2015 diff hist 0 distributed Representations of Words and Phrases and their Compositionality No edit summary
- 10:2610:26, 15 December 2015 diff hist −1 continuous space language models No edit summary
- 10:2410:24, 15 December 2015 diff hist +434 continuous space language models No edit summary
14 December 2015
- 14:0414:04, 14 December 2015 diff hist −397 generating text with recurrent neural networks No edit summary
4 December 2015
- 12:3312:33, 4 December 2015 diff hist +34 mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION No edit summary
- 12:2812:28, 4 December 2015 diff hist +638 mULTIPLE OBJECT RECOGNITION WITH VISUAL ATTENTION No edit summary
- 11:3911:39, 4 December 2015 diff hist +136 semi-supervised Learning with Deep Generative Models No edit summary
22 November 2015
- 19:5619:56, 22 November 2015 diff hist +4 deep Neural Nets as a Method for Quantitative Structure–Activity Relationships No edit summary
21 November 2015
- 01:5401:54, 21 November 2015 diff hist +11 deep Neural Nets as a Method for Quantitative Structure–Activity Relationships No edit summary
- 01:5101:51, 21 November 2015 diff hist −266 deep Neural Nets as a Method for Quantitative Structure–Activity Relationships No edit summary
20 November 2015
- 22:1522:15, 20 November 2015 diff hist +648 deep Neural Nets as a Method for Quantitative Structure–Activity Relationships No edit summary
- 21:5021:50, 20 November 2015 diff hist +13,893 N deep Neural Nets as a Method for Quantitative Structure–Activity Relationships Created page with "== Introduction == This abstract is a summary of the paper Deep Neural Nets as a Method for Quantitative Structure−Activity Relationships by Ma J. et al., which published in th..."
- 21:3021:30, 20 November 2015 diff hist 0 N File:Table2.PNG No edit summary current
- 21:0421:04, 20 November 2015 diff hist 0 N File:Fig5.PNG No edit summary current
- 20:5520:55, 20 November 2015 diff hist 0 N File:Fig4.PNG No edit summary current
- 20:4620:46, 20 November 2015 diff hist 0 N File:Fig3.PNG No edit summary current
- 20:3220:32, 20 November 2015 diff hist 0 N File:Fig2.PNG No edit summary current
- 20:1720:17, 20 November 2015 diff hist 0 N File:Table1.PNG No edit summary current
- 17:5217:52, 20 November 2015 diff hist 0 N File:Fig1.PNG No edit summary current
- 10:3310:33, 20 November 2015 diff hist −141 on using very large target vocabulary for neural machine translation No edit summary
- 10:2310:23, 20 November 2015 diff hist +203 on using very large target vocabulary for neural machine translation No edit summary
19 November 2015
- 20:0720:07, 19 November 2015 diff hist +359 on using very large target vocabulary for neural machine translation No edit summary
- 19:4119:41, 19 November 2015 diff hist +130 on using very large target vocabulary for neural machine translation No edit summary
- 19:3819:38, 19 November 2015 diff hist +432 on using very large target vocabulary for neural machine translation No edit summary
- 18:5118:51, 19 November 2015 diff hist +11,727 N on using very large target vocabulary for neural machine translation Created page with "'''Overview''' This is a summary of the paper by S. Jean, K. Cho, R Memisevic, and Y. Bengio entitled "On Using Very Large Target Vocabulary for Neural Machine Translation". The..."
18 November 2015
- 15:1415:14, 18 November 2015 diff hist +6 f15Stat946PaperSignUp No edit summary
- 15:1315:13, 18 November 2015 diff hist −10 f15Stat946PaperSignUp No edit summary
- 15:0815:08, 18 November 2015 diff hist +464 genetics No edit summary
11 November 2015
- 17:4317:43, 11 November 2015 diff hist +7 neural Machine Translation: Jointly Learning to Align and Translate No edit summary
- 17:4217:42, 11 November 2015 diff hist +479 neural Machine Translation: Jointly Learning to Align and Translate No edit summary
- 17:0817:08, 11 November 2015 diff hist +535 show, Attend and Tell: Neural Image Caption Generation with Visual Attention →Motivation
- 16:1116:11, 11 November 2015 diff hist −213 graves et al., Speech recognition with deep recurrent neural networks No edit summary
- 16:1016:10, 11 November 2015 diff hist +275 graves et al., Speech recognition with deep recurrent neural networks No edit summary
- 16:0716:07, 11 November 2015 diff hist +363 graves et al., Speech recognition with deep recurrent neural networks No edit summary
9 November 2015
- 13:5313:53, 9 November 2015 diff hist +228 f15Stat946PaperSignUp →Set B
- 13:3613:36, 9 November 2015 diff hist +16 proposal for STAT946 (Deep Learning) final projects Fall 2015 No edit summary
6 November 2015
- 13:5613:56, 6 November 2015 diff hist +126 learning Hierarchical Features for Scene Labeling No edit summary
- 13:5113:51, 6 November 2015 diff hist +282 learning Hierarchical Features for Scene Labeling →Future Work
5 November 2015
- 18:3018:30, 5 November 2015 diff hist +396 human-level control through deep reinforcement learning No edit summary
29 October 2015
- 18:1518:15, 29 October 2015 diff hist +241 overfeat: integrated recognition, localization and detection using convolutional networks No edit summary
- 17:3417:34, 29 October 2015 diff hist +82 goingDeeperWithConvolutions No edit summary
26 October 2015
- 11:2111:21, 26 October 2015 diff hist +189 parsing natural scenes and natural language with recursive neural networks No edit summary
23 October 2015
- 10:3010:30, 23 October 2015 diff hist +5 stat946f15/Sequence to sequence learning with neural networks No edit summary
22 October 2015
- 16:0916:09, 22 October 2015 diff hist +988 stat946f15/Sequence to sequence learning with neural networks No edit summary
2 October 2015
- 14:0214:02, 2 October 2015 diff hist +151 f15Stat946PaperSignUp No edit summary