User contributions for Sverneka

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