Difference between revisions of "stat441F21"

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(Paper presentation)
(Paper presentation)
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|Week of Nov 22 ||Xin Yan, Yishu Duan, Xibei Di || || Predicting Hurricane Trajectories Using a Recurrent Neural Network || [https://arxiv.org/pdf/1802.02548.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Predicting_Hurricane_Trajectories_Using_a_Recurrent_Neural_Network Summary]||
 
|Week of Nov 22 ||Xin Yan, Yishu Duan, Xibei Di || || Predicting Hurricane Trajectories Using a Recurrent Neural Network || [https://arxiv.org/pdf/1802.02548.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Predicting_Hurricane_Trajectories_Using_a_Recurrent_Neural_Network Summary]||
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|Week of Nov 29 ||Ankitha Anugu, Yushan Chen, Yuying Huang || ||  ||  || ||
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Revision as of 10:55, 17 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 Do Vision Transformers See Like Convolutional Neural Networks? Paper Summary
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 CatBoost: unbiased boosting with categorical features Paper Summary
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 Deep Double Descent: Where Bigger Models and More Data Hurt Paper
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 Week of Nov 29 Ankitha Anugu, Yushan Chen, Yuying Huang