stat441F21: Difference between revisions
Jump to navigation
Jump to search
Line 21: | Line 21: | ||
|- | |- | ||
|Week of Nov 16 || Ali Ghodsi || || || || || | |Week of Nov 16 || Ali Ghodsi || || || || || | ||
|- | |- | ||
|Week of Nov 16 || Jared Feng, Xipeng Huang, Mingwei Xu, Tingzhou Yu|| || Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification || [http://proceedings.mlr.press/v139/bai21c/bai21c.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Going_Deeper_with_Convolutions Summary] || | |Week of Nov 16 || Jared Feng, Xipeng Huang, Mingwei Xu, Tingzhou Yu|| || Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification || [http://proceedings.mlr.press/v139/bai21c/bai21c.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Going_Deeper_with_Convolutions Summary] || | ||
Line 29: | Line 27: | ||
|- | |- | ||
|Week of Nov 22 || Zeng Mingde, Lin Xiaoyu, Fan Joshua, Rao Chen Min || || || || || | |Week of Nov 22 || Zeng Mingde, Lin Xiaoyu, Fan Joshua, Rao Chen Min || || || || || | ||
|- | |||
|Week of Nov 22 || Justin D'Astous, Waqas Hamed, Stefan Vladusic, Ethan O'Farrell || || A Probabilistic Approach to Neural Network Pruning || [http://proceedings.mlr.press/v139/qian21a/qian21a.pdf] || || | |||
|- | |- | ||
|Week of Nov 22 || Cassandra Wong, Anastasiia Livochka, Maryam Yalsavar, David Evans || || Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification || [https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Hou_Patch-Based_Convolutional_Neural_CVPR_2016_paper.pdf Paper] || || | |Week of Nov 22 || Cassandra Wong, Anastasiia Livochka, Maryam Yalsavar, David Evans || || Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification || [https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Hou_Patch-Based_Convolutional_Neural_CVPR_2016_paper.pdf Paper] || || |
Revision as of 17:43, 8 November 2021
Project Proposal
Paper presentation
Date | Name | Paper number | Title | Link to the paper | Link to the summary | Link to the video |
Sep 15 (example) | Ri Wang | Sequence to sequence learning with neural networks. | Paper | Summary | [1] | |
Week of Nov 16 | Ali Ghodsi | |||||
Week of Nov 16 | Jared Feng, Xipeng Huang, Mingwei Xu, Tingzhou Yu | Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification | Paper | Summary | ||
Week of Nov 16 | Kanika Chopra, Yush Rajcoomar | Automatic Bank Fraud Detection Using Support Vector Machines | Paper | |||
Week of Nov 22 | Zeng Mingde, Lin Xiaoyu, Fan Joshua, Rao Chen Min | |||||
Week of Nov 22 | Justin D'Astous, Waqas Hamed, Stefan Vladusic, Ethan O'Farrell | A Probabilistic Approach to Neural Network Pruning | [2] | |||
Week of Nov 22 | Cassandra Wong, Anastasiia Livochka, Maryam Yalsavar, David Evans | Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification | Paper | |||
Week of Nov 22 | Jessie Man Wai Chin, Yi Lin Ooi, Yaqi Shi, Shwen Lyng Ngew | |||||
Week of Nov 22 | Eric Anderson, Chengzhi Wang, Kai Zhong, YiJing Zhou |