stat441F18: Difference between revisions
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|Feb 15 (example)||Ri Wang || ||Sequence to sequence learning with neural networks.||[http://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf Paper] || [http://wikicoursenote.com/wiki/Stat946f15/Sequence_to_sequence_learning_with_neural_networks#Long_Short-Term_Memory_Recurrent_Neural_Network Summary] | |Feb 15 (example)||Ri Wang || ||Sequence to sequence learning with neural networks.||[http://papers.nips.cc/paper/5346-sequence-to-sequence-learning-with-neural-networks.pdf Paper] || [http://wikicoursenote.com/wiki/Stat946f15/Sequence_to_sequence_learning_with_neural_networks#Long_Short-Term_Memory_Recurrent_Neural_Network Summary] | ||
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|Nov 13 || Jason Schneider, Jordyn Walton, Zahraa Abbas, Andrew Na || 1|| Memory-Based Parameter Adaptation || [https://arxiv.org/pdf/1802.10542.pdf Paper] || https://wiki.math.uwaterloo.ca/statwiki/images/0/0f/MbPA_Summary.pdf || | |Nov 13 || Jason Schneider, Jordyn Walton, Zahraa Abbas, Andrew Na || 1|| Memory-Based Parameter Adaptation || [https://arxiv.org/pdf/1802.10542.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/images/0/0f/MbPA_Summary.pdf Summary] || | ||
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|Nov 13 ||Sai Praneeth M, Xudong Peng, Alice Li, Shahrzad Hosseini Vajargah|| 2|| Going deeper with convolutions ||[https://arxiv.org/pdf/1409.4842.pdf paper] || | |Nov 13 ||Sai Praneeth M, Xudong Peng, Alice Li, Shahrzad Hosseini Vajargah|| 2|| Going deeper with convolutions ||[https://arxiv.org/pdf/1409.4842.pdf paper] || | ||
Revision as of 19:53, 5 November 2018
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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 | Paper | Summary | |
| 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 | paper | ||
| 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 | ||||
| Makeup | Hudson Ash, Stephen Kingston, Richard Zhang, Alexandre Xiao, Ziqiu Zhu | |||||
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