User contributions for Sverneka
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12 November 2017
- 02:1702:17, 12 November 2017 diff hist 0 File:LIME.png Sverneka uploaded a new version of File:LIME.png
- 02:1602:16, 12 November 2017 diff hist 0 File:LIME.png Sverneka uploaded a new version of File:LIME.png
- 02:1202:12, 12 November 2017 diff hist +356 "Why Should I Trust You?": Explaining the Predictions of Any Classifier No edit summary
- 02:0002:00, 12 November 2017 diff hist −17 "Why Should I Trust You?": Explaining the Predictions of Any Classifier No edit summary
- 01:5901:59, 12 November 2017 diff hist +44 "Why Should I Trust You?": Explaining the Predictions of Any Classifier No edit summary
- 01:4701:47, 12 November 2017 diff hist +34 "Why Should I Trust You?": Explaining the Predictions of Any Classifier No edit summary
- 01:4601:46, 12 November 2017 diff hist +363 N File:explanation example.png Figure 2: Explaining individual predictions of competing classifiers trying to determine if a document is about “Christianity” or “Atheism”. The bar chart represents the importance given to the most relevant words, also highlighted in the text....
- 01:4501:45, 12 November 2017 diff hist +1,644 "Why Should I Trust You?": Explaining the Predictions of Any Classifier No edit summary
- 01:4001:40, 12 November 2017 diff hist +2,274 "Why Should I Trust You?": Explaining the Predictions of Any Classifier No edit summary
- 01:3001:30, 12 November 2017 diff hist +20 "Why Should I Trust You?": Explaining the Predictions of Any Classifier No edit summary
- 01:2901:29, 12 November 2017 diff hist 0 N File:LIME.png No edit summary
- 01:2601:26, 12 November 2017 diff hist 0 "Why Should I Trust You?": Explaining the Predictions of Any Classifier →Introduction
11 November 2017
- 20:0520:05, 11 November 2017 diff hist +1,199 "Why Should I Trust You?": Explaining the Predictions of Any Classifier No edit summary
- 12:0512:05, 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..."
- 11:5111:51, 11 November 2017 diff hist −70 f17Stat946PaperSignUp →Paper presentation
- 11:3611:36, 11 November 2017 diff hist −64 f17Stat946PaperSignUp →Paper presentation
9 November 2017
- 13:1713:17, 9 November 2017 diff hist +2 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Conclusion, Future Work and Open questions
- 13:1613:16, 9 November 2017 diff hist +6 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Conclusion, Future Work and Open questions
- 13:1613:16, 9 November 2017 diff hist +106 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →References
- 13:1413:14, 9 November 2017 diff hist +254 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Conclusion, Future Work and Open questions
- 12:4612:46, 9 November 2017 diff hist +1 STAT946F17/Cognitive Psychology For Deep Neural Networks: A Shape Bias Case Study →Introduction
- 00:5900:59, 9 November 2017 diff hist +229 FeUdal Networks for Hierarchical Reinforcement Learning →Conclusion
- 00:4300:43, 9 November 2017 diff hist +54 FeUdal Networks for Hierarchical Reinforcement Learning →Introduction
- 00:3000:30, 9 November 2017 diff hist +251 Learning the Number of Neurons in Deep Networks →Critique
- 00:2100:21, 9 November 2017 diff hist +292 Learning the Number of Neurons in Deep Networks →Related Work
- 00:1100:11, 9 November 2017 diff hist −1 m Learning the Number of Neurons in Deep Networks →Related Work
8 November 2017
- 22:0422:04, 8 November 2017 diff hist +2 m Learning the Number of Neurons in Deep Networks →Introduction
7 November 2017
- 01:5601:56, 7 November 2017 diff hist +489 Convolutional Sequence to Sequence Learning Added future developments
- 01:2601:26, 7 November 2017 diff hist +231 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Critique
- 01:2001:20, 7 November 2017 diff hist +175 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Dropout, Subsampling, Dilated Convolution and Skip-Connections
- 00:3100:31, 7 November 2017 diff hist +1 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Why is RF important?
- 00:3100:31, 7 November 2017 diff hist +120 Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Why is RF important?
- 00:2200:22, 7 November 2017 diff hist +7 m Understanding the Effective Receptive Field in Deep Convolutional Neural Networks →Why is RF important?
6 November 2017
- 23:1023:10, 6 November 2017 diff hist +282 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Results: Added future consideration.
- 22:4522:45, 6 November 2017 diff hist 0 m meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Related Work
- 22:4322:43, 6 November 2017 diff hist −6 meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Related Work
- 22:4122:41, 6 November 2017 diff hist 0 m meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Related Work
- 22:2622:26, 6 November 2017 diff hist −7 m meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting →Introduction
31 October 2017
- 03:5003:50, 31 October 2017 diff hist +180 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Boosting Method
- 03:4103:41, 31 October 2017 diff hist +115 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Conclusion
- 03:1503:15, 31 October 2017 diff hist +121 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →References
30 October 2017
- 23:3523:35, 30 October 2017 diff hist +46 Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition →Introduction
- 23:2723:27, 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
- 14:1114:11, 2 October 2017 diff hist −4 f17Stat946PaperSignUp No edit summary
- 14:1014:10, 2 October 2017 diff hist +2 f17Stat946PaperSignUp No edit summary
- 14:1014:10, 2 October 2017 diff hist +94 f17Stat946PaperSignUp No edit summary
- 14:0514:05, 2 October 2017 diff hist +102 f17Stat946PaperSignUp No edit summary
- 14:0414:04, 2 October 2017 diff hist +1 f17Stat946PaperSignUp No edit summary
- 14:0414:04, 2 October 2017 diff hist +69 f17Stat946PaperSignUp No edit summary
- 14:0314:03, 2 October 2017 diff hist +15 f17Stat946PaperSignUp Summary