User contributions for Sverneka
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12 November 2017
- 00:3000:30, 12 November 2017 diff hist +20 "Why Should I Trust You?": Explaining the Predictions of Any Classifier No edit summary
- 00:2900:29, 12 November 2017 diff hist 0 N File:LIME.png No edit summary
- 00:2600:26, 12 November 2017 diff hist 0 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Introduction
11 November 2017
- 19:0519:05, 11 November 2017 diff hist +1,199 "Why Should I Trust You?": Explaining the Predictions of Any Classifier No edit summary
- 11:0511:05, 11 November 2017 diff hist +1,724 N "Why Should I Trust You?": Explaining the Predictions of Any Classifier Created page with "==Introduction== Understanding why machine learning models behave the way they do empowers both system designers and end-users in many ways: in model selection, feature engin..."
- 10:5110:51, 11 November 2017 diff hist −70 f17Stat946PaperSignUp →Paper presentation
- 10:3610:36, 11 November 2017 diff hist −64 f17Stat946PaperSignUp →Paper presentation
9 November 2017
- 12:1712:17, 9 November 2017 diff hist +2 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Conclusion, Future Work and Open questions
- 12:1612:16, 9 November 2017 diff hist +6 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Conclusion, Future Work and Open questions
- 12:1612:16, 9 November 2017 diff hist +106 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →References
- 12:1412:14, 9 November 2017 diff hist +254 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Conclusion, Future Work and Open questions
- 11:4611:46, 9 November 2017 diff hist +1 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Introduction
8 November 2017
- 23:5923:59, 8 November 2017 diff hist +229 FeUdal Networks for Hierarchical Reinforcement Learning →Conclusion
- 23:4323:43, 8 November 2017 diff hist +54 FeUdal Networks for Hierarchical Reinforcement Learning →Introduction
- 23:3023:30, 8 November 2017 diff hist +251 Learning the Number of Neurons in Deep Networks →Critique
- 23:2123:21, 8 November 2017 diff hist +292 Learning the Number of Neurons in Deep Networks →Related Work
- 23:1123:11, 8 November 2017 diff hist −1 m Learning the Number of Neurons in Deep Networks →Related Work
- 21:0421:04, 8 November 2017 diff hist +2 m Learning the Number of Neurons in Deep Networks →Introduction
7 November 2017
- 00:5600:56, 7 November 2017 diff hist +489 Convolutional Sequence to Sequence Learning Added future developments
- 00:2600:26, 7 November 2017 diff hist +231 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 00:2000:20, 7 November 2017 diff hist +175 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Dropout, Subsampling, Dilated Convolution and Skip-Connections
6 November 2017
- 23:3123:31, 6 November 2017 diff hist +1 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Why is RF important?
- 23:3123:31, 6 November 2017 diff hist +120 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Why is RF important?
- 23:2223:22, 6 November 2017 diff hist +7 m Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Why is RF important?
- 22:1022:10, 6 November 2017 diff hist +282 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Results: Added future consideration.
- 21:4521:45, 6 November 2017 diff hist 0 m meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Related Work
- 21:4321:43, 6 November 2017 diff hist −6 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Related Work
- 21:4121:41, 6 November 2017 diff hist 0 m meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Related Work
- 21:2621:26, 6 November 2017 diff hist −7 m meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Introduction
31 October 2017
- 02:5002:50, 31 October 2017 diff hist +180 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Boosting Method
- 02:4102:41, 31 October 2017 diff hist +115 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Conclusion
- 02:1502:15, 31 October 2017 diff hist +121 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →References
30 October 2017
- 22:3522:35, 30 October 2017 diff hist +46 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Introduction
- 22:2722:27, 30 October 2017 diff hist +152 m Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition Added a basic reference to boosting
2 October 2017
- 13:1113:11, 2 October 2017 diff hist −4 f17Stat946PaperSignUp No edit summary
- 13:1013:10, 2 October 2017 diff hist +2 f17Stat946PaperSignUp No edit summary
- 13:1013:10, 2 October 2017 diff hist +94 f17Stat946PaperSignUp No edit summary
- 13:0513:05, 2 October 2017 diff hist +102 f17Stat946PaperSignUp No edit summary
- 13:0413:04, 2 October 2017 diff hist +1 f17Stat946PaperSignUp No edit summary
- 13:0413:04, 2 October 2017 diff hist +69 f17Stat946PaperSignUp No edit summary
- 13:0313:03, 2 October 2017 diff hist +15 f17Stat946PaperSignUp Summary