User contributions for Pkthekka
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28 November 2017
- 14:5614:56, 28 November 2017 diff hist +174 Conditional Image Synthesis with Auxiliary Classifier GANs →Model
- 14:4914:49, 28 November 2017 diff hist +145 Hierarchical Question-Image Co-Attention for Visual Question Answering →Introduction
- 03:1903:19, 28 November 2017 diff hist +428 STAT946F17/Decoding with Value Networks for Neural Machine Translation No edit summary
- 03:0703:07, 28 November 2017 diff hist −8 STAT946F17/Decoding with Value Networks for Neural Machine Translation →Settings
- 02:2802:28, 28 November 2017 diff hist +790 STAT946F17/ Automated Curriculum Learning for Neural Networks No edit summary
- 02:2402:24, 28 November 2017 diff hist +453 STAT946F17/ Automated Curriculum Learning for Neural Networks No edit summary
26 November 2017
- 20:5920:59, 26 November 2017 diff hist +401 STAT946F17/Conditional Image Generation with PixelCNN Decoders No edit summary
24 November 2017
- 10:4310:43, 24 November 2017 diff hist +161 Hierarchical Question-Image Co-Attention for Visual Question Answering →Reference
- 10:4110:41, 24 November 2017 diff hist +797 Hierarchical Question-Image Co-Attention for Visual Question Answering →Conclusion
23 November 2017
- 04:2004:20, 23 November 2017 diff hist +682 Unsupervised Domain Adaptation with Residual Transfer Networks No edit summary
21 November 2017
- 13:1413:14, 21 November 2017 diff hist +533 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks No edit summary
- 12:4612:46, 21 November 2017 diff hist −5 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →References
- 12:0012:00, 21 November 2017 diff hist 0 Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks →Conclusion
- 11:4411:44, 21 November 2017 diff hist +399 Deep Exploration via Bootstrapped DQN →Unanswered Questions & Miscellaneous
- 11:3711:37, 21 November 2017 diff hist +619 Deep Exploration via Bootstrapped DQN No edit summary
19 November 2017
- 03:0403:04, 19 November 2017 diff hist +9 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Implementation details
- 03:0303:03, 19 November 2017 diff hist +150 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →References
- 03:0003:00, 19 November 2017 diff hist +385 Deep Alternative Neural Network: Exploring Contexts As Early As Possible For Action Recognition →Implementation details
- 02:3202:32, 19 November 2017 diff hist +152 Universal Style Transfer via Feature Transforms →Critique
- 02:2502:25, 19 November 2017 diff hist +285 Universal Style Transfer via Feature Transforms →Critique
- 02:0902:09, 19 November 2017 diff hist −2 Universal Style Transfer via Feature Transforms →Other Methods
- 02:0802:08, 19 November 2017 diff hist 0 Universal Style Transfer via Feature Transforms →Related Work
- 02:0602:06, 19 November 2017 diff hist +272 Universal Style Transfer via Feature Transforms →References
- 02:0402:04, 19 November 2017 diff hist +4 Universal Style Transfer via Feature Transforms →Related Work
- 02:0302:03, 19 November 2017 diff hist +302 Universal Style Transfer via Feature Transforms →Related Work
15 November 2017
- 04:5604:56, 15 November 2017 diff hist +254 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Motivations
- 04:5604:56, 15 November 2017 diff hist +219 LightRNN: Memory and Computation-Efficient Recurrent Neural Networks →Reference
- 04:3204:32, 15 November 2017 diff hist +183 "Why Should I Trust You?": Explaining the Predictions of Any Classifier No edit summary
- 04:1204:12, 15 November 2017 diff hist +124 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →Related Works
- 04:1004:10, 15 November 2017 diff hist +159 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback →References
- 04:0804:08, 15 November 2017 diff hist +345 STAT946F17/ Teaching Machines to Describe Images via Natural Language Feedback No edit summary
12 November 2017
- 21:2421:24, 12 November 2017 diff hist +449 Imagination-Augmented Agents for Deep Reinforcement Learning No edit summary
- 21:0321:03, 12 November 2017 diff hist 0 Imagination-Augmented Agents for Deep Reinforcement Learning →Conclusion
- 20:1920:19, 12 November 2017 diff hist +195 Dialog-based Language Learning →References
- 20:1820:18, 12 November 2017 diff hist +405 Dialog-based Language Learning →Future work
- 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
- 15:2115:21, 25 October 2017 diff hist 0 N File:MSEs and Hypothesis Test Results.png No edit summary current
- 15:2015:20, 25 October 2017 diff hist +88 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
- 15:1215:12, 25 October 2017 diff hist −4 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Conclusion
- 15:1215:12, 25 October 2017 diff hist +106 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 15:0315:03, 25 October 2017 diff hist +433 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 14:5014:50, 25 October 2017 diff hist −19 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 14:4714:47, 25 October 2017 diff hist +271 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Combining AD Datasets from Multiple Sites
- 14:3814:38, 25 October 2017 diff hist +950 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Experiments
- 12:1812:18, 25 October 2017 diff hist +1,934 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 00:3000:30, 25 October 2017 diff hist +422 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →\ell2-consistency
- 00:1800:18, 25 October 2017 diff hist +175 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 00:1100:11, 25 October 2017 diff hist 0 N File:Sparse Multisite Lasso.png No edit summary current
- 00:1100:11, 25 October 2017 diff hist +925 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
24 October 2017
- 23:3423:34, 24 October 2017 diff hist +315 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Case 1: Sharing a subset of \betas
- 23:2923:29, 24 October 2017 diff hist +641 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 23:0523:05, 24 October 2017 diff hist −305 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 11:3311:33, 24 October 2017 diff hist +1,081 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 10:5710:57, 24 October 2017 diff hist 0 N File:Equation 4567.png No edit summary current
- 10:5310:53, 24 October 2017 diff hist +64 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 10:4210:42, 24 October 2017 diff hist 0 N File:Equation 4567.PNG No edit summary current
- 10:3910:39, 24 October 2017 diff hist +222 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 01:2601:26, 24 October 2017 diff hist +195 f17Stat946PaperSignUp →Paper presentation
- 01:2101:21, 24 October 2017 diff hist +34 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 01:1901:19, 24 October 2017 diff hist +1,309 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 01:0401:04, 24 October 2017 diff hist +81 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Hypothesis Testing
- 01:0101:01, 24 October 2017 diff hist +218 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 00:5500:55, 24 October 2017 diff hist +4 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Hypothesis Testing
- 00:5300:53, 24 October 2017 diff hist +14 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Hypothesis Testing
- 00:5100:51, 24 October 2017 diff hist +15 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Hypothesis Testing
- 00:4900:49, 24 October 2017 diff hist +787 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Hypothesis Testing
- 00:4800:48, 24 October 2017 diff hist −23 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Hypothesis Testing
- 00:4800:48, 24 October 2017 diff hist −22 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Hypothesis Testing
- 00:4500:45, 24 October 2017 diff hist +13 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Hypothesis Testing
- 00:4400:44, 24 October 2017 diff hist +21 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Hypothesis Testing
- 00:4400:44, 24 October 2017 diff hist 0 N File:Equation 1.PNG No edit summary current
- 00:4000:40, 24 October 2017 diff hist +11 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Hypothesis Testing
- 00:3900:39, 24 October 2017 diff hist +399 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 00:2800:28, 24 October 2017 diff hist +4 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Lasso Regression:
- 00:2800:28, 24 October 2017 diff hist +187 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary →Lasso Regression:
- 00:2500:25, 24 October 2017 diff hist +826 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 00:2400:24, 24 October 2017 diff hist −6 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary No edit summary
- 00:2100:21, 24 October 2017 diff hist +704 N When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, l2-consistency and Neuroscience Applications: Summary Created page with "'''Main Contributions of the Research Article:''' 1. The main result is a hypothesis test to evaluate whether pooling data across multiple sites for regression (before or afte..."
23 October 2017
- 23:2123:21, 23 October 2017 diff hist 0 N File:My Summary.docx No edit summary current
20 October 2017
- 22:2822:28, 20 October 2017 diff hist +522 Learning What and Where to Draw →Conditional keypoint generation model
- 11:1111:11, 20 October 2017 diff hist +312 Learning What and Where to Draw →Bounding-box-conditional text-to-image model
- 07:5507:55, 20 October 2017 diff hist +135 Learning What and Where to Draw →Generative Adversarial Networks
- 07:4407:44, 20 October 2017 diff hist +154 Learning What and Where to Draw →Related Work