Difference between revisions of "stat441F21"

From statwiki
Jump to: navigation, search
(Paper presentation)
m (Paper presentation)
Line 21: Line 21:
 
|-
 
|-
 
|Week of Nov 16 || Ali Ghodsi || ||  ||  || ||
 
|Week of Nov 16 || Ali Ghodsi || ||  ||  || ||
|-
 
|Week of Nov 22 || Group 10 || || A Probabilistic Approach to Neural Network Pruning || [http://proceedings.mlr.press/v139/qian21a/qian21a.pdf] || ||
 
 
|-
 
|-
 
|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