User contributions for Amirlk
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26 November 2015
- 18:5818:58, 26 November 2015 diff hist −151 strategies for Training Large Scale Neural Network Language Models →References
- 18:5618:56, 26 November 2015 diff hist +228 strategies for Training Large Scale Neural Network Language Models →Recurrent Neural Network Models
- 18:5318:53, 26 November 2015 diff hist +477 strategies for Training Large Scale Neural Network Language Models →Recurrent Neural Network Models
- 18:4818:48, 26 November 2015 diff hist +257 strategies for Training Large Scale Neural Network Language Models →Recurrent Neural Network Models
- 18:3918:39, 26 November 2015 diff hist +889 imageNet Classification with Deep Convolutional Neural Networks →Overall Architecture
- 17:3917:39, 26 November 2015 diff hist +258 imageNet Classification with Deep Convolutional Neural Networks →Local Response Normalization
- 17:3617:36, 26 November 2015 diff hist +63 imageNet Classification with Deep Convolutional Neural Networks →ReLU Nonlinearity
23 November 2015
- 16:0016:00, 23 November 2015 diff hist +354 learning Fast Approximations of Sparse Coding →Pre-existing Approximations: Iterative Shrinkage Algorithms
- 15:5915:59, 23 November 2015 diff hist +101 learning Fast Approximations of Sparse Coding →Pre-existing Approximations: Iterative Shrinkage Algorithms
- 15:3015:30, 23 November 2015 diff hist +343 deep Neural Nets as a Method for Quantitative Structure–Activity Relationships →Results
- 15:2915:29, 23 November 2015 diff hist +93 deep Neural Nets as a Method for Quantitative Structure–Activity Relationships →Results
- 15:2915:29, 23 November 2015 diff hist +169 deep Neural Nets as a Method for Quantitative Structure–Activity Relationships →Results
20 November 2015
- 18:4418:44, 20 November 2015 diff hist +93 f15Stat946PaperSignUp →Set A
- 00:0000:00, 20 November 2015 diff hist +290 genetics →Conclusion
19 November 2015
- 23:5823:58, 19 November 2015 diff hist +248 genetics →Rationale
- 23:4423:44, 19 November 2015 diff hist +638 dropout →Model
- 23:3623:36, 19 November 2015 diff hist +588 dropout →Model
- 23:2223:22, 19 November 2015 diff hist +177 show, Attend and Tell: Neural Image Caption Generation with Visual Attention →Attention: Two Variants
- 23:2023:20, 19 November 2015 diff hist +274 show, Attend and Tell: Neural Image Caption Generation with Visual Attention →Attention: Two Variants
- 23:1723:17, 19 November 2015 diff hist +162 show, Attend and Tell: Neural Image Caption Generation with Visual Attention →Attention: Two Variants
- 19:5619:56, 19 November 2015 diff hist −230 show, Attend and Tell: Neural Image Caption Generation with Visual Attention Undo revision 26667 by Amirlk (talk)
- 19:5419:54, 19 November 2015 diff hist +230 show, Attend and Tell: Neural Image Caption Generation with Visual Attention →Encoder: Convolutional Features
- 19:5219:52, 19 November 2015 diff hist 0 N File:Fr 1.PNG No edit summary current
- 17:4817:48, 19 November 2015 diff hist +539 natural language processing (almost) from scratch. →Network Design
- 17:3317:33, 19 November 2015 diff hist +231 natural language processing (almost) from scratch. →Semantic Role Labelling (SRL)
- 15:3615:36, 19 November 2015 diff hist +1 distributed Representations of Words and Phrases and their Compositionality No edit summary
- 15:3215:32, 19 November 2015 diff hist +29 distributed Representations of Words and Phrases and their Compositionality No edit summary
- 15:3115:31, 19 November 2015 diff hist +34 distributed Representations of Words and Phrases and their Compositionality →Empirical Results
- 15:2915:29, 19 November 2015 diff hist 0 distributed Representations of Words and Phrases and their Compositionality →Hierarchical Softmax
- 15:2815:28, 19 November 2015 diff hist +517 distributed Representations of Words and Phrases and their Compositionality →Hierarchical Softmax
- 15:2115:21, 19 November 2015 diff hist +465 distributed Representations of Words and Phrases and their Compositionality →Introduction
- 15:0815:08, 19 November 2015 diff hist +1,284 distributed Representations of Words and Phrases and their Compositionality →Conclusion
- 15:0015:00, 19 November 2015 diff hist +982 distributed Representations of Words and Phrases and their Compositionality →Comparison to Published Word Representations
- 15:0015:00, 19 November 2015 diff hist 0 N File:Tb 6.PNG No edit summary current
- 14:5414:54, 19 November 2015 diff hist +1,358 distributed Representations of Words and Phrases and their Compositionality →Additive Compositionality
- 14:5214:52, 19 November 2015 diff hist 0 N File:Tb 5.PNG No edit summary current
- 14:4814:48, 19 November 2015 diff hist +96 distributed Representations of Words and Phrases and their Compositionality No edit summary
- 14:4714:47, 19 November 2015 diff hist +1,874 distributed Representations of Words and Phrases and their Compositionality →Learning Phrases
- 14:4614:46, 19 November 2015 diff hist 0 N File:Tb 4.PNG No edit summary current
- 14:3814:38, 19 November 2015 diff hist 0 N File:Tb 3.PNG No edit summary current
- 02:2802:28, 19 November 2015 diff hist +3,475 distributed Representations of Words and Phrases and their Compositionality No edit summary
- 02:2402:24, 19 November 2015 diff hist 0 N File:Tb 2.PNG No edit summary current
- 02:1202:12, 19 November 2015 diff hist 0 N File:Tb 1.PNG No edit summary current
- 01:0801:08, 19 November 2015 diff hist +1,083 distributed Representations of Words and Phrases and their Compositionality No edit summary
- 00:5100:51, 19 November 2015 diff hist +3,466 distributed Representations of Words and Phrases and their Compositionality No edit summary
18 November 2015
- 23:4823:48, 18 November 2015 diff hist +1,489 N distributed Representations of Words and Phrases and their Compositionality Created page with "= Introduction = This paper presents several extensions of the Skip-gram model intriduced by Mikolov et al. [8]. Skip-gram model is an efficient method for learning highquality ..."
14 November 2015
- 21:4521:45, 14 November 2015 diff hist +664 neural Turing Machines →Location-based addressing
- 21:3821:38, 14 November 2015 diff hist +127 neural Turing Machines →Content-based addressing
- 21:3621:36, 14 November 2015 diff hist +103 neural Turing Machines →Content-based addressing
- 21:3321:33, 14 November 2015 diff hist +1 neural Turing Machines →Addressing Mechanisms