Difference between revisions of "stat441F21"

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|Week of Nov 30 ||Zihui (Betty) Qin, Wenqi (Maggie) Zhao, Muyuan Yang, Amartya (Marty) Mukherjee    || 26|| Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms  || [https://arxiv.org/pdf/1912.07618.pdf?fbclid=IwAR0RwATSn4CiT3qD9LuywYAbJVw8YB3nbex8Kl19OCExIa4jzWaUut3oVB0 Paper]  || Summary [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Deep_Learning_for_Cardiologist-level_Myocardial_Infarction_Detection_in_Electrocardiograms&fbclid=IwAR1Tad2DAM7LT6NXXuSYDZtHHBvN0mjZtDdCOiUFFq_XwVcQxG3hU-3XcaE] || [https://www.youtube.com/watch?v=kiYbAmd_3IA]
 
|Week of Nov 30 ||Zihui (Betty) Qin, Wenqi (Maggie) Zhao, Muyuan Yang, Amartya (Marty) Mukherjee    || 26|| Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms  || [https://arxiv.org/pdf/1912.07618.pdf?fbclid=IwAR0RwATSn4CiT3qD9LuywYAbJVw8YB3nbex8Kl19OCExIa4jzWaUut3oVB0 Paper]  || Summary [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Deep_Learning_for_Cardiologist-level_Myocardial_Infarction_Detection_in_Electrocardiograms&fbclid=IwAR1Tad2DAM7LT6NXXuSYDZtHHBvN0mjZtDdCOiUFFq_XwVcQxG3hU-3XcaE] || [https://www.youtube.com/watch?v=kiYbAmd_3IA]
 
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|Week of Nov 30 || Stan Lee, Seokho Lim, Kyle Jung, Dae Hyun Kim  || 27|| Improving neural networks by preventing co-adaption of feature detectors  || [https://arxiv.org/pdf/1207.0580.pdf paper]  || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Improving_neural_networks_by_preventing_co-adaption_of_feature_detectors Summary] || [https://youtu.be/SV5UOM3QwiA Video]
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|Week of Nov 30 || Stan Lee, Seokho Lim, Kyle Jung, Dae Hyun Kim  || 27|| Improving neural networks by preventing co-adaption of feature detectors  || [https://arxiv.org/pdf/1207.0580.pdf Paper]  || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Improving_neural_networks_by_preventing_co-adaption_of_feature_detectors Summary] || [https://youtu.be/SV5UOM3QwiA Video]
 
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|Week of Nov 30 || Yawen Wang,  Danmeng Cui, ZiJie Jiang, Mingkang Jiang, Haotian Ren, Haris Bin Zahid || 28|| A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques ||  [https://arxiv.org/pdf/1707.02919.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Describtion_of_Text_Mining Summary] ||
 
|Week of Nov 30 || Yawen Wang,  Danmeng Cui, ZiJie Jiang, Mingkang Jiang, Haotian Ren, Haris Bin Zahid || 28|| A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques ||  [https://arxiv.org/pdf/1707.02919.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Describtion_of_Text_Mining Summary] ||

Revision as of 01:17, 30 November 2020


Project Proposal

Record your contributions here [1]

Use the following notations:

P: You have written a summary/critique of the paper.

T: You had a technical contribution on a paper (excluding the paper that you present).

E: You had an editorial contribution on a paper (excluding the paper that you present).

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 [2]
Week of Nov 16 Sharman Bharat, Li Dylan,Lu Leonie, Li Mingdao 1 Risk prediction in life insurance industry using supervised learning algorithms Paper Summary

[3]

Week of Nov 16 Delaney Smith, Mohammad Assem Mahmoud 2 Influenza Forecasting Framework based on Gaussian Processes Paper Summary [4]
Week of Nov 16 Tatianna Krikella, Swaleh Hussain, Grace Tompkins 3 Processing of Missing Data by Neural Networks Paper Summary [5]
Week of Nov 16 Jonathan Chow, Nyle Dharani, Ildar Nasirov 4 Streaming Bayesian Inference for Crowdsourced Classification Paper Summary [6]
Week of Nov 16 Matthew Hall, Johnathan Chalaturnyk 5 Neural Ordinary Differential Equations [7] Summary
Week of Nov 16 Luwen Chang, Qingyang Yu, Tao Kong, Tianrong Sun 6 Adversarial Attacks on Copyright Detection Systems Paper [8] Summary [9]
Week of Nov 16 Casey De Vera, Solaiman Jawad 7 IPBoost – Non-Convex Boosting via Integer Programming Paper Summary [10]
Week of Nov 16 Yuxin Wang, Evan Peters, Yifan Mou, Sangeeth Kalaichanthiran 8 What Game Are We Playing? End-to-end Learning in Normal and Extensive Form Games [11] Summary [12]
Week of Nov 16 Yuchuan Wu 9
Week of Nov 16 Zhou Zeping, Siqi Li, Yuqin Fang, Fu Rao 10 A survey of neural network-based cancer prediction models from microarray data Paper Summary [13]
Week of Nov 23 Jinjiang Lian, Jiawen Hou, Yisheng Zhu, Mingzhe Huang 11 DROCC: Deep Robust One-Class Classification paper Summary [14]
Week of Nov 23 Bushra Haque, Hayden Jones, Michael Leung, Cristian Mustatea 12 Combine Convolution with Recurrent Networks for Text Classification Paper Summary [15]
Week of Nov 23 Taohao Wang, Zeren Shen, Zihao Guo, Rui Chen 13 Large Scale Landmark Recognition via Deep Metric Learning paper Summary Video
Week of Nov 23 Qianlin Song, William Loh, Junyue Bai, Phoebe Choi 14 Task Understanding from Confusing Multi-task Data Paper Summary [16]
Week of Nov 23 Rui Gong, Xuetong Wang, Xinqi Ling, Di Ma 15 Semantic Relation Classification via Convolution Neural Network paper Summary video
Week of Nov 23 Xiaolan Xu, Robin Wen, Yue Weng, Beizhen Chang 16 Graph Structure of Neural Networks Paper Summary Video
Week of Nov 23 Hansa Halim, Sanjana Rajendra Naik, Samka Marfua, Shawrupa Proshasty 17 Superhuman AI for multiplayer poker Paper Summary Video
Week of Nov 23 Guanting Pan, Haocheng Chang, Zaiwei Zhang 18 Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence Paper Summary Video
Week of Nov 23 Jerry Huang, Daniel Jiang, Minyan Dai 19 Neural Speed Reading Via Skim-RNN Paper Summary Video
Week of Nov 23 Ruixian Chin, Yan Kai Tan, Jason Ong, Wen Cheen Chiew 20 DivideMix: Learning with Noisy Labels as Semi-supervised Learning Paper Summary [17]
Week of Nov 30 Banno Dion, Battista Joseph, Kahn Solomon 21 Music Recommender System Based on Genre using Convolutional Recurrent Neural Networks [18] Summary [19]
Week of Nov 30 Isaac Ellmen, Dorsa Mohammadrezaei, Emilee Carson 22 A universal SNP and small-indel variant caller using deep neural networks Paper Summary
Week of Nov 30 Daniel Fagan, Cooper Brooke, Maya Perelman 23 Efficient kNN Classification With Different Number of Nearest Neighbors Paper Summary
Week of Nov 30 Karam Abuaisha, Evan Li, Jason Pu, Nicholas Vadivelu 24 Being Bayesian about Categorical Probability Paper Summary [20]
Week of Nov 30 Anas Mahdi Will Thibault Jan Lau Jiwon Yang 25 Loss Function Search for Face Recognition [21] paper Summary [22] [23]
Week of Nov 30 Zihui (Betty) Qin, Wenqi (Maggie) Zhao, Muyuan Yang, Amartya (Marty) Mukherjee 26 Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms Paper Summary [24] [25]
Week of Nov 30 Stan Lee, Seokho Lim, Kyle Jung, Dae Hyun Kim 27 Improving neural networks by preventing co-adaption of feature detectors Paper Summary Video
Week of Nov 30 Yawen Wang, Danmeng Cui, ZiJie Jiang, Mingkang Jiang, Haotian Ren, Haris Bin Zahid 28 A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques Paper Summary
Week of Nov 30 Qing Guo, XueGuang Ma, James Ni, Yuanxin Wang 29 Mask R-CNN Paper Summary [26]
Week of Nov 30 Junyi Yang, Jill Yu Chieh Wang, Yu Min Wu, Calvin Li 30 Research paper classifcation systems based on TF‑IDF and LDA schemes Paper Summary [27]
Week of Nov 30 Daniel Zhang, Jacky Yao, Scholar Sun, Russell Parco, Ian Cheung 31 Speech2Face: Learning the Face Behind a Voice Paper Summary [28]
Week of Nov 30 Siyuan Xia, Jiaxiang Liu, Jiabao Dong, Yipeng Du 32 Evaluating Machine Accuracy on ImageNet Paper Summary
Week of Nov 30 Mushi Wang, Siyuan Qiu, Yan Yu 33 Surround Vehicle Motion Prediction Using LSTM-RNN for Motion Planning of Autonomous Vehicles at Multi-Lane Turn Intersections Paper Summary