User contributions for Sverneka

12 November 2017

• 01:1701:17, 12 November 2017 diff hist 0‎ File:LIME.png ‎ Sverneka uploaded a new version of File:LIME.png
• 01:1601:16, 12 November 2017 diff hist 0‎ File:LIME.png ‎ Sverneka uploaded a new version of File:LIME.png
• 01:1201:12, 12 November 2017 diff hist +356‎ "Why Should I Trust You?": Explaining the Predictions of Any Classifier ‎No edit summary
• 01:0001:00, 12 November 2017 diff hist −17‎ "Why Should I Trust You?": Explaining the Predictions of Any Classifier ‎No edit summary
• 00:5900:59, 12 November 2017 diff hist +44‎ "Why Should I Trust You?": Explaining the Predictions of Any Classifier ‎No edit summary
• 00:4700:47, 12 November 2017 diff hist +34‎ "Why Should I Trust You?": Explaining the Predictions of Any Classifier ‎No edit summary
• 00:4600:46, 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....
• 00:4500:45, 12 November 2017 diff hist +1,644‎ "Why Should I Trust You?": Explaining the Predictions of Any Classifier ‎No edit summary
• 00:4000:40, 12 November 2017 diff hist +2,274‎ "Why Should I Trust You?": Explaining the Predictions of Any Classifier ‎No edit summary
• 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