User contributions for Sverneka
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12 November 2017
- 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