stat441F21: Difference between revisions

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|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 ||  ||  || || ||
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|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 || 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 Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Summary_of_A_Probabilistic_Approach_to_Neural_Network_Pruning Summary] ||
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|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] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Patch_Based_Convolutional_Neural_Network_for_Whole_Slide_Tissue_Image_Classification Summary] ||
|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] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Patch_Based_Convolutional_Neural_Network_for_Whole_Slide_Tissue_Image_Classification Summary] ||

Revision as of 17:30, 15 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 22 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 22 Kanika Chopra, Yush Rajcoomar Automatic Bank Fraud Detection Using Support Vector Machines Paper Summary
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 Paper Summary
Week of Nov 22 Cassandra Wong, Anastasiia Livochka, Maryam Yalsavar, David Evans Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification Paper Summary
Week of Nov 29 Jessie Man Wai Chin, Yi Lin Ooi, Yaqi Shi, Shwen Lyng Ngew
Week of Nov 29 Eric Anderson, Chengzhi Wang, Kai Zhong, YiJing Zhou
Week of Nov 29 Ethan Cyrenne, Dieu Hoa Nguyen, Mary Jane Sin, Carolyn Wang
Week of Nov 29 Bowen Zhang, Tyler Magnus Verhaar, Sam Senko
Week of Nov 29 Chun Waan Loke, Peter Chong, Clarice Osmond, Zhilong Li
Week of Nov 22 Ann Gie Wong, Curtis Li, Hannah Kerr The Detection of Black Ice Accidents for Preventative Automated Vehicles Using Convolutional Neural Networks Paper Summary
Week of Nov 22 Yuwei Liu, Daniel Mao Depthwise Convolution Is All You Need for Learning Multiple Visual Domains Paper Summary
Week of Nov 29 Lingshan Wang, Yifan Li, Ziyi Liu Deep Learning for Extreme Multi-label Text Classification Paper Summary
Week of Nov 29 Kar Lok Ng, Muhan (Iris) Li
Week of Nov 29 Kun Wang
Week of Nov 29 Egemen Guray
Week of Nov 22 Bsodjahi Bayesian Network as a Decision Tool for Predicting ALS Disease https://www.mdpi.com/2076-3425/11/2/150/pdf
Week of Nov 22 Xin Yan, Yishu Duan, Xibei Di Predicting Hurricane Trajectories Using a Recurrent Neural Network Paper Summary