User contributions for Rahulniyer
A user with 83 edits. Account created on 25 September 2017.
2 November 2017
- 11:2111:21, 2 November 2017 diff hist +190 Universal Style Transfer via Feature Transforms →References
- 11:0911:09, 2 November 2017 diff hist +60 m When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →References
- 10:5910:59, 2 November 2017 diff hist +49 m STAT946F17/ Learning Important Features Through Propagating Activation Differences →Failures of traditional methods
1 November 2017
- 13:3913:39, 1 November 2017 diff hist −3 m Convolutional Sequence to Sequence Learning →Convolutional Block Structure
31 October 2017
- 17:3617:36, 31 October 2017 diff hist +2 Convolutional Sequence to Sequence Learning →Normalization Strategy and initialization
- 17:3317:33, 31 October 2017 diff hist +68 Convolutional Sequence to Sequence Learning →Results
- 17:3017:30, 31 October 2017 diff hist 0 N File:attention.png No edit summary current
- 17:2917:29, 31 October 2017 diff hist +13 Convolutional Sequence to Sequence Learning →Normalization Strategy and initialization
- 17:2517:25, 31 October 2017 diff hist +1,696 Convolutional Sequence to Sequence Learning No edit summary
- 12:0112:01, 31 October 2017 diff hist +110 m f17Stat946PaperSignUp No edit summary
- 10:5910:59, 31 October 2017 diff hist +1,002 Convolutional Sequence to Sequence Learning No edit summary
30 October 2017
- 20:3920:39, 30 October 2017 diff hist +28 Convolutional Sequence to Sequence Learning →Convolutional Architecture
- 20:3820:38, 30 October 2017 diff hist −22 Convolutional Sequence to Sequence Learning →Convolutional Architecture
- 20:3820:38, 30 October 2017 diff hist +56 Convolutional Sequence to Sequence Learning →Normalization Strategy
- 20:3320:33, 30 October 2017 diff hist +1,339 Convolutional Sequence to Sequence Learning No edit summary
- 20:1820:18, 30 October 2017 diff hist +1,586 Convolutional Sequence to Sequence Learning →Results
- 19:5719:57, 30 October 2017 diff hist +6 Convolutional Sequence to Sequence Learning →Model Parameters and Optimization
- 19:2019:20, 30 October 2017 diff hist 0 N File:res9.png No edit summary current
- 19:2019:20, 30 October 2017 diff hist 0 N File:res8.png No edit summary current
- 19:2019:20, 30 October 2017 diff hist 0 N File:res7.png No edit summary current
- 19:1919:19, 30 October 2017 diff hist 0 N File:res6.png No edit summary current
- 19:1919:19, 30 October 2017 diff hist 0 N File:res5.png No edit summary current
- 19:1919:19, 30 October 2017 diff hist 0 N File:res4.png No edit summary current
- 19:1819:18, 30 October 2017 diff hist 0 N File:res3.png No edit summary current
- 19:1719:17, 30 October 2017 diff hist 0 N File:res2.png No edit summary current
- 19:1719:17, 30 October 2017 diff hist 0 N File:res1.png No edit summary current
- 19:1719:17, 30 October 2017 diff hist 0 N File:cs2s arch.png No edit summary current
- 18:4518:45, 30 October 2017 diff hist +1,600 Convolutional Sequence to Sequence Learning →Experimental Setup
- 18:1418:14, 30 October 2017 diff hist +51 Convolutional Sequence to Sequence Learning →Convolutional Architecture
- 18:0618:06, 30 October 2017 diff hist +985 Convolutional Sequence to Sequence Learning →Multi-step Attention
- 17:1217:12, 30 October 2017 diff hist 0 Convolutional Sequence to Sequence Learning →Convolutional Block Structure
- 17:1117:11, 30 October 2017 diff hist +28 Convolutional Sequence to Sequence Learning →Convolutional Architecture
- 17:0917:09, 30 October 2017 diff hist +917 Convolutional Sequence to Sequence Learning →Convolutional Block Structure
- 16:5316:53, 30 October 2017 diff hist +1,717 Convolutional Sequence to Sequence Learning →Convolutional Architecture
- 16:1716:17, 30 October 2017 diff hist +269 Convolutional Sequence to Sequence Learning →Position Embeddings
- 16:1216:12, 30 October 2017 diff hist +621 Convolutional Sequence to Sequence Learning →Convolutional Architecture
- 16:0016:00, 30 October 2017 diff hist −11 Convolutional Sequence to Sequence Learning No edit summary
- 15:5815:58, 30 October 2017 diff hist +1,255 Convolutional Sequence to Sequence Learning →Related Work
- 15:3815:38, 30 October 2017 diff hist +1,796 Convolutional Sequence to Sequence Learning →Introduction
- 15:1915:19, 30 October 2017 diff hist +92 Convolutional Sequence to Sequence Learning No edit summary
- 14:0914:09, 30 October 2017 diff hist +16 N Convolutional Sequence to Sequence Learning Created page with "==Introduction=="
- 01:2201:22, 30 October 2017 diff hist −16 f17Stat946PaperSignUp No edit summary
26 October 2017
- 19:4419:44, 26 October 2017 diff hist +754 Hash Embeddings for Efficient Word Representations →Hash Embeddings current
- 19:1419:14, 26 October 2017 diff hist +740 Hash Embeddings for Efficient Word Representations →Hash Embeddings
- 18:3918:39, 26 October 2017 diff hist 0 N File:hash vectors.png No edit summary current
- 18:3818:38, 26 October 2017 diff hist +186 Hash Embeddings for Efficient Word Representations No edit summary
- 18:1518:15, 26 October 2017 diff hist +257 Hash Embeddings for Efficient Word Representations →Related Works
- 16:1016:10, 26 October 2017 diff hist +1,904 N Hash Embeddings for Efficient Word Representations Created page with "=Introduction= ALmost all neural networks rely on loss function that is continuous in nature to compute the gradients for training hence because of this for whatever data we n..."
24 October 2017
- 10:3110:31, 24 October 2017 diff hist +101 Universal Style Transfer via Feature Transforms No edit summary
- 10:2010:20, 24 October 2017 diff hist 0 N File:vgg-19-architecture.png No edit summary current