User contributions for Jgosmann
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27 November 2015
- 10:5510:55, 27 November 2015 diff hist +2 m on the Number of Linear Regions of Deep Neural Networks Fix math typos
- 10:5510:55, 27 November 2015 diff hist +6 m on the Number of Linear Regions of Deep Neural Networks Fix math typos
25 November 2015
- 13:2013:20, 25 November 2015 diff hist +520 learning Phrase Representations Add section about representations.
- 13:1913:19, 25 November 2015 diff hist 0 N File:Fig5.png No edit summary current
- 13:1813:18, 25 November 2015 diff hist 0 N File:Fig4.png No edit summary current
- 11:5211:52, 25 November 2015 diff hist +29 f15Stat946PaperSignUp Set B paper numbers
- 11:5011:50, 25 November 2015 diff hist +1,018 extracting and Composing Robust Features with Denoising Autoencoders Add information theoretic perspective.
24 November 2015
- 11:5211:52, 24 November 2015 diff hist +1,106 scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines Add info on training
18 November 2015
- 15:0115:01, 18 November 2015 diff hist +7,778 N on the Number of Linear Regions of Deep Neural Networks Created page with "= Introduction = The paper basically seeks to answer the question why deep neural networks perform so much better than shallow neural networks. It is not obvious that deep neura..."
- 15:0115:01, 18 November 2015 diff hist 0 N File:Constr.png No edit summary current
- 14:5814:58, 18 November 2015 diff hist 0 N File:Montifar2.png No edit summary current
- 14:5514:55, 18 November 2015 diff hist 0 N File:Montifar3.png No edit summary current
- 14:5314:53, 18 November 2015 diff hist 0 N File:Hyperplanes.png No edit summary current
- 14:5214:52, 18 November 2015 diff hist 0 N File:Sets.png No edit summary current
- 14:5114:51, 18 November 2015 diff hist 0 N File:Montifar1.png No edit summary current
12 November 2015
- 16:0516:05, 12 November 2015 diff hist +1,236 from Machine Learning to Machine Reasoning Added how association/dissociation modules relate to discrete Lips equivalents. Mentions VSAs.
- 14:1914:19, 12 November 2015 diff hist −5 m question Answering with Subgraph Embeddings →Task Definition
- 14:1714:17, 12 November 2015 diff hist +4 m question Answering with Subgraph Embeddings →Task Definition
- 14:1614:16, 12 November 2015 diff hist +26 m question Answering with Subgraph Embeddings →Introduction
- 14:1514:15, 12 November 2015 diff hist +3 m question Answering with Subgraph Embeddings No edit summary
- 13:5413:54, 12 November 2015 diff hist −19 f15Stat946PaperSignUp No edit summary
10 November 2015
- 13:5213:52, 10 November 2015 diff hist +152 deep Sparse Rectifier Neural Networks Adding key result about pre-training.
- 13:4713:47, 10 November 2015 diff hist +235 deep Sparse Rectifier Neural Networks More benefits of sparse representation
- 13:4413:44, 10 November 2015 diff hist +828 deep Sparse Rectifier Neural Networks Add potential problems of rectified linear units.
- 11:5511:55, 10 November 2015 diff hist +150 deep Sparse Rectifier Neural Networks Add disadvantage of sparse representation.
4 November 2015
- 16:2816:28, 4 November 2015 diff hist +5,104 N neural Turing Machines Created page with "= Neural Turing Machines = Even though recurrent neural networks (RNNs) are [https://en.wikipedia.org/wiki/Turing_completeness Turing complete] in theory, the control of logical..."
- 16:2116:21, 4 November 2015 diff hist +35 m f15Stat946PaperSignUp Add link to paper summary.
2 November 2015
- 16:5016:50, 2 November 2015 diff hist +385 learning Hierarchical Features for Scene Labeling Add conclusions
- 16:4016:40, 2 November 2015 diff hist +97 learning Hierarchical Features for Scene Labeling No edit summary
- 16:3616:36, 2 November 2015 diff hist +516 learning Hierarchical Features for Scene Labeling Add the big picture to introduction
- 16:2316:23, 2 November 2015 diff hist +368 learning Hierarchical Features for Scene Labeling Explain Laplacian
27 October 2015
- 12:4612:46, 27 October 2015 diff hist −37 m goingDeeperWithConvolutions Fix CNN image.
- 12:4612:46, 27 October 2015 diff hist 0 N File:Conv 1D nn.png No edit summary current
- 12:4512:45, 27 October 2015 diff hist +1,494 goingDeeperWithConvolutions Adding some background on CNNs
- 12:2212:22, 27 October 2015 diff hist +735 goingDeeperWithConvolutions Elaborating on the inception module
- 12:0412:04, 27 October 2015 diff hist +207 goingDeeperWithConvolutions Adding to explanation of sparce matrix inefficiency.
23 October 2015
- 16:3916:39, 23 October 2015 diff hist −12 f15Stat946PaperSignUp Fix layout destroyed in previous change.
- 16:3716:37, 23 October 2015 diff hist +88 f15Stat946PaperSignUp Sign up for Set B paper
21 October 2015
- 13:5213:52, 21 October 2015 diff hist +1,090 stat946f15/Sequence to sequence learning with neural networks Add open questions
- 13:4013:40, 21 October 2015 diff hist +679 stat946f15/Sequence to sequence learning with neural networks More detailed discussion about the reversal of the input sequence.
- 13:1513:15, 21 October 2015 diff hist +1 m stat946f15/Sequence to sequence learning with neural networks typo
- 12:2512:25, 21 October 2015 diff hist +792 parsing natural scenes and natural language with recursive neural networks Adding summary of NLP results.
- 12:1512:15, 21 October 2015 diff hist +21 parsing natural scenes and natural language with recursive neural networks Add word representation dimensionality.
- 12:1412:14, 21 October 2015 diff hist −22 parsing natural scenes and natural language with recursive neural networks The paper does not state that these are the best values (it might just be values that work well enough).
- 12:1012:10, 21 October 2015 diff hist +209 parsing natural scenes and natural language with recursive neural networks Fix loss equation and clarify it.
- 11:5511:55, 21 October 2015 diff hist −1 m parsing natural scenes and natural language with recursive neural networks grammatics
- 11:5511:55, 21 October 2015 diff hist +1 m parsing natural scenes and natural language with recursive neural networks Replaced wrong word
- 11:5311:53, 21 October 2015 diff hist +14 m parsing natural scenes and natural language with recursive neural networks Fix lay
- 11:5011:50, 21 October 2015 diff hist +93 parsing natural scenes and natural language with recursive neural networks Clarifying word representation which is not a bag-of-words
5 October 2015
- 11:2211:22, 5 October 2015 diff hist +198 f15Stat946PaperSignUp Sign up for paper presentation