User contributions for Bjkomer

16 November 2015

• 17:1617:16, 16 November 2015 diff hist −8‎ scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines ‎ →‎Overview
• 17:1517:15, 16 November 2015 diff hist +1,267‎ scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines ‎ →‎Motivation
• 16:5816:58, 16 November 2015 diff hist +941‎ scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines ‎ →‎Introduction
• 16:3416:34, 16 November 2015 diff hist 0‎ N File:SceneResultTableStanford.png ‎No edit summary current
• 16:3416:34, 16 November 2015 diff hist 0‎ N File:SceneResultTableSIFT.png ‎No edit summary current
• 16:3416:34, 16 November 2015 diff hist 0‎ N File:SceneResultTableBarcelona.png ‎No edit summary current
• 16:3416:34, 16 November 2015 diff hist 0‎ N File:SceneResultPictures.png ‎No edit summary current
• 16:3316:33, 16 November 2015 diff hist +148‎ scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines ‎No edit summary
• 12:4312:43, 16 November 2015 diff hist +85‎ N scene Parsing with Multiscale Feature Learning, Purity Trees, and Optimal Covers Machines ‎ Created page with "= Introduction = = Motivation = = Model = = Results = =References= <references />"
• 12:4212:42, 16 November 2015 diff hist +102‎ f15Stat946PaperSignUp ‎ →‎Set B
• 12:2812:28, 16 November 2015 diff hist +364‎ show, Attend and Tell: Neural Image Caption Generation with Visual Attention ‎ →‎Results
• 12:2012:20, 16 November 2015 diff hist 0‎ m show, Attend and Tell: Neural Image Caption Generation with Visual Attention ‎No edit summary
• 12:2012:20, 16 November 2015 diff hist +191‎ show, Attend and Tell: Neural Image Caption Generation with Visual Attention ‎No edit summary

15 November 2015

• 21:0421:04, 15 November 2015 diff hist +204‎ show, Attend and Tell: Neural Image Caption Generation with Visual Attention ‎ →‎Results
• 13:1613:16, 15 November 2015 diff hist −2‎ show, Attend and Tell: Neural Image Caption Generation with Visual Attention ‎ →‎Attention: Two Variants

5 November 2015

• 14:1514:15, 5 November 2015 diff hist 0‎ N File:AttentionHighlights.png ‎No edit summary current
• 14:1414:14, 5 November 2015 diff hist +34‎ show, Attend and Tell: Neural Image Caption Generation with Visual Attention ‎ →‎Properties
• 14:1314:13, 5 November 2015 diff hist 0‎ N File:AttentionGettingThingsWrong.png ‎No edit summary current
• 14:1214:12, 5 November 2015 diff hist 0‎ N File:AttentionGettingThingsRight.png ‎No edit summary current
• 14:1214:12, 5 November 2015 diff hist 0‎ N File:AttentionResults.png ‎No edit summary current
• 14:1214:12, 5 November 2015 diff hist +115‎ show, Attend and Tell: Neural Image Caption Generation with Visual Attention ‎ →‎Results
• 14:1114:11, 5 November 2015 diff hist 0‎ N File:AttentionLSTM.png ‎No edit summary current
• 14:1114:11, 5 November 2015 diff hist +28‎ show, Attend and Tell: Neural Image Caption Generation with Visual Attention ‎ →‎Decoder: Long Short-Term Memory Network
• 13:4813:48, 5 November 2015 diff hist +31‎ show, Attend and Tell: Neural Image Caption Generation with Visual Attention ‎ →‎Model
• 13:4713:47, 5 November 2015 diff hist 0‎ N File:AttentionNetwork.png ‎No edit summary current

4 November 2015

• 15:2815:28, 4 November 2015 diff hist +1,537‎ show, Attend and Tell: Neural Image Caption Generation with Visual Attention ‎No edit summary
• 13:4513:45, 4 November 2015 diff hist +19‎ show, Attend and Tell: Neural Image Caption Generation with Visual Attention ‎No edit summary
• 13:4413:44, 4 November 2015 diff hist +746‎ N show, Attend and Tell: Neural Image Caption Generation with Visual Attention ‎ Created page with "= Introduction = = Motivation = = Contributions = * Two attention-based image caption generators using a common framework. A "soft" deterministic attention mechanism and a "h..."

3 November 2015

• 19:3119:31, 3 November 2015 diff hist +623‎ learning Hierarchical Features for Scene Labeling ‎ →‎Future Work
• 19:1519:15, 3 November 2015 diff hist 0‎ m learning Hierarchical Features for Scene Labeling ‎ →‎Future Work
• 16:4216:42, 3 November 2015 diff hist +13‎ m human-level control through deep reinforcement learning ‎ →‎Framework and Additional Setup Details
• 16:4216:42, 3 November 2015 diff hist +74‎ human-level control through deep reinforcement learning ‎ →‎Framework and Additional Setup Details
• 16:3616:36, 3 November 2015 diff hist +1‎ m human-level control through deep reinforcement learning ‎ →‎Q Learning
• 16:3516:35, 3 November 2015 diff hist +9‎ m human-level control through deep reinforcement learning ‎ →‎Q Learning
• 16:3216:32, 3 November 2015 diff hist +66‎ human-level control through deep reinforcement learning ‎ →‎Framework and Additional Setup Details

29 October 2015

• 13:0713:07, 29 October 2015 diff hist +98‎ goingDeeperWithConvolutions ‎ →‎Resources
• 13:0313:03, 29 October 2015 diff hist +92‎ goingDeeperWithConvolutions ‎ →‎Resources
• 13:0113:01, 29 October 2015 diff hist +230‎ goingDeeperWithConvolutions ‎No edit summary
• 12:5812:58, 29 October 2015 diff hist +190‎ overfeat: integrated recognition, localization and detection using convolutional networks ‎No edit summary

27 October 2015

• 13:5513:55, 27 October 2015 diff hist +154‎ f15Stat946PaperSignUp ‎ →‎Set B
• 13:2813:28, 27 October 2015 diff hist +4‎ m overfeat: integrated recognition, localization and detection using convolutional networks ‎ →‎Introduction
• 13:2313:23, 27 October 2015 diff hist 0‎ m goingDeeperWithConvolutions ‎ →‎Critques
• 13:1413:14, 27 October 2015 diff hist +4‎ m goingDeeperWithConvolutions ‎ →‎Related work

21 October 2015

• 14:4614:46, 21 October 2015 diff hist +337‎ parsing natural scenes and natural language with recursive neural networks ‎ →‎Results

19 October 2015

• 16:0316:03, 19 October 2015 diff hist +896‎ stat946f15/Sequence to sequence learning with neural networks ‎ →‎Training and Results: Explanation of BLEU score
• 15:3915:39, 19 October 2015 diff hist +34‎ m stat946f15/Sequence to sequence learning with neural networks ‎ →‎Results: clarifying acronym

18 October 2015

• 15:5215:52, 18 October 2015 diff hist −1‎ m parsing natural scenes and natural language with recursive neural networks ‎No edit summary
• 15:4415:44, 18 October 2015 diff hist +3‎ m parsing natural scenes and natural language with recursive neural networks ‎No edit summary

4 October 2015

• 22:5722:57, 4 October 2015 diff hist +51‎ f15Stat946PaperSignUp ‎No edit summary

2 October 2015

• 11:4211:42, 2 October 2015 diff hist +171‎ f15Stat946PaperSignUp ‎No edit summary