# Difference between revisions of "stat441F21"

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|Week of Nov 30 || Isaac Ellmen, Dorsa Mohammadrezaei, Emilee Carson || 22|| A universal SNP and small-indel variant caller using deep neural networks||[https://www.nature.com/articles/nbt.4235.epdf?author_access_token=q4ZmzqvvcGBqTuKyKgYrQ9RgN0jAjWel9jnR3ZoTv0NuM3saQzpZk8yexjfPUhdFj4zyaA4Yvq0LWBoCYQ4B9vqPuv8e2HHy4vShDgEs8YxI_hLs9ov6Y1f_4fyS7kGZ Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=A_universal_SNP_and_small-indel_variant_caller_using_deep_neural_networks Summary] || | |Week of Nov 30 || Isaac Ellmen, Dorsa Mohammadrezaei, Emilee Carson || 22|| A universal SNP and small-indel variant caller using deep neural networks||[https://www.nature.com/articles/nbt.4235.epdf?author_access_token=q4ZmzqvvcGBqTuKyKgYrQ9RgN0jAjWel9jnR3ZoTv0NuM3saQzpZk8yexjfPUhdFj4zyaA4Yvq0LWBoCYQ4B9vqPuv8e2HHy4vShDgEs8YxI_hLs9ov6Y1f_4fyS7kGZ Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=A_universal_SNP_and_small-indel_variant_caller_using_deep_neural_networks Summary] || | ||

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− | |Week of Nov 30 || Daniel Fagan, Cooper Brooke, Maya Perelman || 23|| Efficient kNN Classification With Different Number of Nearest Neighbors || [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7898482 Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=User:Dfagan Summary]|| | + | |Week of Nov 30 || Daniel Fagan, Cooper Brooke, Maya Perelman || 23|| Efficient kNN Classification With Different Number of Nearest Neighbors || [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7898482 Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=User:Dfagan Summary]|| [https://youtu.be/_STVyvm_Kao] |

|- | |- | ||

|Week of Nov 30 || Karam Abuaisha, Evan Li, Jason Pu, Nicholas Vadivelu || 24|| Being Bayesian about Categorical Probability || [https://proceedings.icml.cc/static/paper_files/icml/2020/3560-Paper.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Being_Bayesian_about_Categorical_Probability Summary] || [https://drive.google.com/file/d/1I0uYF2xEMuNVtaEhPb_vZ6bxSKMi0gUh/view?usp=sharing] | |Week of Nov 30 || Karam Abuaisha, Evan Li, Jason Pu, Nicholas Vadivelu || 24|| Being Bayesian about Categorical Probability || [https://proceedings.icml.cc/static/paper_files/icml/2020/3560-Paper.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Being_Bayesian_about_Categorical_Probability Summary] || [https://drive.google.com/file/d/1I0uYF2xEMuNVtaEhPb_vZ6bxSKMi0gUh/view?usp=sharing] |

## Revision as of 02:15, 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 | |

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 | [20] |

Week of Nov 30 | Karam Abuaisha, Evan Li, Jason Pu, Nicholas Vadivelu | 24 | Being Bayesian about Categorical Probability | Paper | Summary | [21] |

Week of Nov 30 | Anas Mahdi Will Thibault Jan Lau Jiwon Yang | 25 | Loss Function Search for Face Recognition | [22] paper | Summary [23] | [24] |

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 [25] | [26] |

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 | [27] |

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 | [28] |

Week of Nov 30 | Daniel Zhang, Jacky Yao, Scholar Sun, Russell Parco, Ian Cheung | 31 | Speech2Face: Learning the Face Behind a Voice | Paper | Summary | [29] |

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 |