stat441F21: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
|||
Line 40: | Line 40: | ||
|Week of Nov 29 || Bowen Zhang, Tyler Magnus Verhaar, Sam Senko || || Deep Double Descent: Where Bigger Models and More Data Hurt || [https://arxiv.org/pdf/1912.02292.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Deep_Double_Descent_Where_Bigger_Models_and_More_Data_Hurt Summary] || | |Week of Nov 29 || Bowen Zhang, Tyler Magnus Verhaar, Sam Senko || || Deep Double Descent: Where Bigger Models and More Data Hurt || [https://arxiv.org/pdf/1912.02292.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Deep_Double_Descent_Where_Bigger_Models_and_More_Data_Hurt Summary] || | ||
|- | |- | ||
|Week of Nov 29 || Chun Waan Loke, Peter Chong, Clarice Osmond, Zhilong Li|| || || || || | |Week of Nov 29 || Chun Waan Loke, Peter Chong, Clarice Osmond, Zhilong Li|| || XGBoost: A Scalable Tree Boosting System || [https://arxiv.org/pdf/1603.02754.pdf Paper] || || | ||
|- | |- | ||
|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 || [https://www.mdpi.com/2079-9292/9/12/2178/htm Paper] ||[https://wiki.math.uwaterloo.ca/statwiki/index.php?title=The_Detection_of_Black_Ice_Accidents_Using_CNNs&fbclid=IwAR0K4YdnL_hdRnOktmJn8BI6-Ra3oitjJof0YwluZgUP1LVFHK5jyiBZkvQ Summary] || | |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 || [https://www.mdpi.com/2079-9292/9/12/2178/htm Paper] ||[https://wiki.math.uwaterloo.ca/statwiki/index.php?title=The_Detection_of_Black_Ice_Accidents_Using_CNNs&fbclid=IwAR0K4YdnL_hdRnOktmJn8BI6-Ra3oitjJof0YwluZgUP1LVFHK5jyiBZkvQ Summary] || |
Revision as of 12:52, 23 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 29 | 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 | Summary | ||
Week of Nov 29 | Chun Waan Loke, Peter Chong, Clarice Osmond, Zhilong Li | XGBoost: A Scalable Tree Boosting System | Paper | |||
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 | Convolutional neural network for diagnosis of viral pneumonia and COVID-19 alike diseases | Paper | Summary | ||
Week of Nov 29 | Egemen Guray | |||||
Week of Nov 29 | 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 | A Game Theoretic Approach to Class-wise Selective Rationalization | Paper | |||
Week of Nov 29 | Aavinash Syamala, Dilmeet Malhi, Sohan Islam, Vansh Joshi | Research on Multiple Classification Based on Improved SVM Algorithm for Balanced Binary Decision Tree | Paper | Summary |