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Date	Name	Paper number	Title	Link to the paper	Link to the summary
Feb 15 (example)	Ri Wang		Sequence to sequence learning with neural networks.	Paper	Summary
Nov 13	Jason Schneider, Jordyn Walton, Zahraa Abbas, Andrew Na	1	Memory-Based Parameter Adaptation
Nov 13	Sai Praneeth M, Xudong Peng, Alice Li, Shahrzad Hosseini Vajargah	2	Going deeper with convolutions	paper
NOv 15	Yan Yu Chen, Qisi Deng, Hengxin Li, Bochao Zhang	3	Topic Compositional Neural Language Model
Nov 15	Zhaoran Hou, Pei Wei Wang, Chi Zhang, Yiming Li, Daoyi Chen, Ying Chi	4	Extreme Learning Machine for regression and Multi-class Classification	[1]
NOv 20	Kristi Brewster, Isaac McLellan, Ahmad Nayar Hassan, Marina Medhat Rassmi Melek, Brendan Ross, Jon Barenboim, Junqiao Lin, James Bootsma	5	A Neural Representation of Sketch Drawings
Nov 20	Maya(Mahdiyeh) Bayati, Saber Malekmohammadi, Vincent Loung	6	Convolutional Neural Networks for Sentence Classification	paper
NOv 22	Qingxi Huo, Yanmin Yang, Jiaqi Wang, Yuanjing Cai, Colin Stranc, Philomène Bobichon, Aditya Maheshwari, Zepeng An	7	Robust Probabilistic Modeling with Bayesian Data Reweighting	Paper
Nov 22	Hanzhen Yang, Jing Pu Sun, Ganyuan Xuan, Yu Su, Jiacheng Weng, Keqi Li, Yi Qian, Bomeng Liu	8	Deep Residual Learning for Image Recognition	Paper
NOv 27	Mitchell Snaith	9	You Only Look Once: Unified, Real-Time Object Detection, V1 -> V3	Paper
Nov 27	Qi Chu, Gloria Huang, Dylan Sang, Amanda Lam, Yan Jiao, Shuyue Wang, Yutong Wu, Shikun Cui	10	tba
NOv 29	Jameson Ngo, Amy Xu, Aden Grant, Yu Hao Wang, Andrew McMurry, Baizhi Song	11	TBA
Nov 29	Qianying Zhao, Hui Huang, Lingyun Yi, Jiayue Zhang, Siao Chen, Rongrong Su, Gezhou Zhang, Meiyu Zhou	12