User contributions for Pkthekka
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12 November 2017
- 20:1120:11, 12 November 2017 diff hist +1 Dialog-based Language Learning →Related Work
- 20:1120:11, 12 November 2017 diff hist +148 Dialog-based Language Learning →References
- 20:0820:08, 12 November 2017 diff hist +395 Dialog-based Language Learning →Related Work
- 19:2919:29, 12 November 2017 diff hist +403 STAT946F17/ Coupled GAN →Applications
- 18:2218:22, 12 November 2017 diff hist +12 STAT946F17/ Coupled GAN No edit summary
9 November 2017
- 14:1914:19, 9 November 2017 diff hist +150 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Learnings, Inferences & Implications
- 01:0101:01, 9 November 2017 diff hist +180 FeUdal Networks for Hierarchical Reinforcement Learning →References
- 01:0001:00, 9 November 2017 diff hist +449 FeUdal Networks for Hierarchical Reinforcement Learning →Experiments
8 November 2017
- 23:5023:50, 8 November 2017 diff hist +801 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Learnings, Inferences & Implications
- 23:4823:48, 8 November 2017 diff hist +246 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →References
- 02:3202:32, 8 November 2017 diff hist +13 Learning the Number of Neurons in Deep Networks →Critique
- 02:3102:31, 8 November 2017 diff hist +224 Learning the Number of Neurons in Deep Networks →References
- 02:2702:27, 8 November 2017 diff hist +259 Learning the Number of Neurons in Deep Networks →Critique
7 November 2017
- 03:4203:42, 7 November 2017 diff hist 0 Convolutional Sequence to Sequence Learning →Related Work
- 03:4003:40, 7 November 2017 diff hist 0 Convolutional Sequence to Sequence Learning →Future Developments [17]
- 03:4003:40, 7 November 2017 diff hist +76 Convolutional Sequence to Sequence Learning →References
- 03:3903:39, 7 November 2017 diff hist +570 Convolutional Sequence to Sequence Learning →Future Developments [17]
6 November 2017
- 04:5904:59, 6 November 2017 diff hist +232 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Theoretical Results
- 04:4204:42, 6 November 2017 diff hist +24 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks Added missing equations
- 04:2304:23, 6 November 2017 diff hist +210 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Random Weights
- 04:0704:07, 6 November 2017 diff hist +219 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →References
- 04:0404:04, 6 November 2017 diff hist +497 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Results
5 November 2017
- 21:5121:51, 5 November 2017 diff hist +46 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Critiques
- 21:2821:28, 5 November 2017 diff hist +549 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting No edit summary
2 November 2017
- 11:1211:12, 2 November 2017 diff hist −1 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →References
- 11:1211:12, 2 November 2017 diff hist +1 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →References
- 10:0110:01, 2 November 2017 diff hist +271 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →References
- 10:0010:00, 2 November 2017 diff hist +165 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Sparse Multi-Site Lasso Regression
- 09:4409:44, 2 November 2017 diff hist +68 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Sparse Multi-Site Lasso Regression
- 09:0709:07, 2 November 2017 diff hist +28 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Introduction
1 November 2017
- 18:0618:06, 1 November 2017 diff hist +4 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Setting the hyperparameter \alpha using Simultaneous Inference
- 18:0518:05, 1 November 2017 diff hist +1,188 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Sparse Multi-Site Lasso and High Dimensional Pooling
- 17:3317:33, 1 November 2017 diff hist −42 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →\ell2 consistency:
- 17:3317:33, 1 November 2017 diff hist −1 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 17:3217:32, 1 November 2017 diff hist +151 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →References
- 17:2817:28, 1 November 2017 diff hist +702 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Some Basic Concepts and Issues
- 17:1417:14, 1 November 2017 diff hist +249 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Sparse Multi-Site Lasso and High Dimensional Pooling
30 October 2017
- 22:4022:40, 30 October 2017 diff hist +175 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Boosting Method
- 22:3822:38, 30 October 2017 diff hist +323 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →References
- 22:3722:37, 30 October 2017 diff hist −11 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Related Work
- 22:3422:34, 30 October 2017 diff hist +6 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Related Work
- 22:3322:33, 30 October 2017 diff hist +154 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition No edit summary
- 15:1715:17, 30 October 2017 diff hist −8 f17Stat946PaperSignUp No edit summary
26 October 2017
- 21:4521:45, 26 October 2017 diff hist +296 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Experiments
25 October 2017
- 15:3215:32, 25 October 2017 diff hist +84 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →References
- 15:3015:30, 25 October 2017 diff hist +3 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Sparse Multi-Site Lasso Regression
- 15:2715:27, 25 October 2017 diff hist +8 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Sparse Multi-Site Lasso and High Dimensional Pooling
- 15:2515:25, 25 October 2017 diff hist 0 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Sparse Multi-Site Lasso and High Dimensional Pooling
- 15:2415:24, 25 October 2017 diff hist −7 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Sparse Multi-Site Lasso and High Dimensional Pooling
- 15:2315:23, 25 October 2017 diff hist 0 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Sparse Multi-Site Lasso Regression