stat441F21: Difference between revisions
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[https://www.youtube.com/watch?v=TVLpSFYgF0c&feature=youtu.be] | [https://www.youtube.com/watch?v=TVLpSFYgF0c&feature=youtu.be] | ||
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|Week of Nov 16 || Delaney Smith, Mohammad Assem Mahmoud || 2|| Influenza Forecasting Framework based on Gaussian Processes || [https://proceedings.icml.cc/static/paper_files/icml/2020/1239-Paper.pdf] paper ||[https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Influenza_Forecasting_Framework_based_on_Gaussian_processes_Summary] | |Week of Nov 16 || Delaney Smith, Mohammad Assem Mahmoud || 2|| Influenza Forecasting Framework based on Gaussian Processes || [https://proceedings.icml.cc/static/paper_files/icml/2020/1239-Paper.pdf] paper ||[https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Influenza_Forecasting_Framework_based_on_Gaussian_processes_Summary Summary]|| | ||
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|Week of Nov 16 || Tatianna Krikella, Swaleh Hussain, Grace Tompkins || 3|| Processing of Missing Data by Neural Networks || [http://papers.nips.cc/paper/7537-processing-of-missing-data-by-neural-networks.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=User:Gtompkin Summary] || | |Week of Nov 16 || Tatianna Krikella, Swaleh Hussain, Grace Tompkins || 3|| Processing of Missing Data by Neural Networks || [http://papers.nips.cc/paper/7537-processing-of-missing-data-by-neural-networks.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=User:Gtompkin Summary] || |
Revision as of 00:05, 16 November 2020
Project Proposal
Record your contributions here [1]
Use the following notations:
P: You have written a summary/critique on 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 | |
Week of Nov 16 | Delaney Smith, Mohammad Assem Mahmoud | 2 | Influenza Forecasting Framework based on Gaussian Processes | [4] paper | Summary | |
Week of Nov 16 | Tatianna Krikella, Swaleh Hussain, Grace Tompkins | 3 | Processing of Missing Data by Neural Networks | Paper | Summary | |
Week of Nov 16 | Jonathan Chow, Nyle Dharani, Ildar Nasirov | 4 | Streaming Bayesian Inference for Crowdsourced Classification | Paper | ||
Week of Nov 16 | Matthew Hall, Johnathan Chalaturnyk | 5 | Neural Ordinary Differential Equations | [5] | Summary | |
Week of Nov 16 | Luwen Chang, Qingyang Yu, Tao Kong, Tianrong Sun | 6 | Adversarial Attacks on Copyright Detection Systems | Paper [6] | Summary | |
Week of Nov 16 | Casey De Vera, Solaiman Jawad, Jihoon Han | 7 | IPBoost – Non-Convex Boosting via Integer Programming | Paper | ||
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 | [7] | Summary | |
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 | [8] | ||
Week of Nov 23 | Jinjiang Lian, Jiawen Hou, Yisheng Zhu, Mingzhe Huang | 11 | DROCC: Deep Robust One-Class Classification | paper | Summary | |
Week of Nov 23 | Bushra Haque, Hayden Jones, Michael Leung, Cristian Mustatea | 12 | Combine Convolution with Recurrent Networks for Text Classification | Paper | ||
Week of Nov 23 | Taohao Wang, Zeren Shen, Zihao Guo, Rui Chen | 13 | Deep multiple instance learning for image classification and auto-annotation | paper | ||
Week of Nov 23 | Qianlin Song, William Loh, Junyue Bai, Phoebe Choi | 14 | Task Understanding from Confusing Multi-task Data | Paper | Summary | |
Week of Nov 23 | Rui Gong, Xuetong Wang, Xinqi Ling, Di Ma | 15 | Semantic Relation Classification via Convolution Neural Network | paper | ||
Week of Nov 23 | Xiaolan Xu, Robin Wen, Yue Weng, Beizhen Chang | 16 | Graph Structure of Neural Networks | Paper | Summary | |
Week of Nov 23 | Hansa Halim, Sanjana Rajendra Naik, Samka Marfua, Shawrupa Proshasty | 17 | Superhuman AI for multiplayer poker | Paper | ||
Week of Nov 23 | Guanting Pan, Haocheng Chang, Zaiwei Zhang | 18 | Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence | Paper | ||
Week of Nov 23 | Jerry Huang, Daniel Jiang, Minyan Dai | 19 | Neural Speed Reading Via Skim-RNN | Paper | Summary | |
Week of Nov 23 | Ruixian Chin, Yan Kai Tan, Jason Ong, Wen Cheen Chiew | 20 | DivideMix: Learning with Noisy Labels as Semi-supervised Learning | [9] | ||
Week of Nov 30 | Banno Dion, Battista Joseph, Kahn Solomon | 21 | Music Recommender System Based on Genre using Convolutional Recurrent Neural Networks | [10] | ||
Week of Nov 30 | Sai Arvind Budaraju, Isaac Ellmen, Dorsa Mohammadrezaei, Emilee Carson | 22 | A universal SNP and small-indel variant caller using deep neural networks | Paper | ||
Week of Nov 30 | Daniel Fagan, Cooper Brooke, Maya Perelman | 23 | Efficient kNN Classification With Different Number of Nearest Neighbors | Paper | ||
Week of Nov 30 | Karam Abuaisha, Evan Li, Jason Pu, Nicholas Vadivelu | 24 | Being Bayesian about Categorical Probability | Paper | ||
Week of Nov 30 | Anas Mahdi Will Thibault Jan Lau Jiwon Yang | 25 | Loss Function Search for Face Recognition | [11] paper | ||
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 [12] | |
Week of Nov 30 | Stan Lee, Seokho Lim, Kyle Jung, Daehyun Kim | 27 | Bag of Tricks for Efficient Text Classification | paper | ||
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 | ||
Week of Nov 30 | Bertrand Sodjahin, Junyi Yang, Jill Yu Chieh Wang, Yu Min Wu, Calvin Li | 30 | Research paper classifcation systems based on TF‑IDF and LDA schemes | Paper | ||
Week of Nov 30 | Daniel Zhang, Jacky Yao, Scholar Sun, Russell Parco, Ian Cheung | 31 | Speech2Face: Learning the Face Behind a Voice | Paper | ||
Week of Nov 30 | Siyuan Xia, Jiaxiang Liu, Jiabao Dong, Yipeng Du | 32 | Evaluating Machine Accuracy on ImageNet | [13] | ||
Week of Nov 30 | Msuhi 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 |