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[https://docs.google.com/forms/d/ | [https://docs.google.com/forms/d/e/1FAIpQLSd7FLFZUnDa-RvIXSWsTHZJ9_8AtZVyli5yks77OYpLhYCngw/viewform?usp=sf_link Your feedback on presentations] | ||
=Paper presentation= | =Paper presentation= | ||
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|Mar 8 || || 2|| || || | |Mar 8 || || 2|| || || | ||
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|Mar 13 || || 3|| || || | |Mar 13 ||Faith Lee, Shiwei Gong, Jacob Lisulov || 3|| Random Features for Large Scale Kernel Machines || [https://people.eecs.berkeley.edu/~brecht/papers/07.rah.rec.nips.pdf]|| [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=stat441w18/summary_1] | ||
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|Mar 13 || | |Mar 13 ||Zekai S., Yitian W., Hamza M., Cameron M., Benjamin S., Xiowen S., Pavle M. || 4|| Convolutional Neural Networks for Sentence Classification ||[https://arxiv.org/pdf/1408.5882.pdf Paper] || [http://wikicoursenote.com/wiki/stat441w18/Convolutional_Neural_Networks_for_Sentence_Classification Summary] | ||
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|Mar 15 || || 5|| | |Mar 15 ||Victor Stoev, Alex Florian, Deep Morjaria, Alessandra Iaboni, Amar Bhalla, Zach Poole, Thomas Lu, Hui Zhang || 5|| Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm || [https://arxiv.org/abs/1712.01815 Paper] || [http://wikicoursenote.com/wiki/stat441w18/mastering-chess-and-shogi-self-play Summary] | ||
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|Mar 15 || || 6|| || | |Mar 15 || Kecheng Li, Lisi Pan, Yanting Liu, Tangxinxin Yao, Jingyue Huang, Ming Fan, Mingguang Liu, Xiaohan Wang || 6|| A New Method of Region Embedding for Text Classification || [https://openreview.net/pdf?id=BkSDMA36Z Paper] ||[https://wiki.math.uwaterloo.ca/statwiki/index.php?title=stat441w18/A_New_Method_of_Region_Embedding_for_Text_Classification&action=edit Summary] | ||
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|Mar 20 || || 7|| || | |Mar 20 || Yufeng Yue, Shanzi Wang, Yumeng Li, Yuyang Bao, Yun Shi, Wan Feng Cai, Ki Beom Lee, Qian Xiang || 7|| Evolutionary Generative Adversarial Networks || [https://arxiv.org/pdf/1803.00657.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=stat441w18/e-gan Summary] || | ||
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|Mar 20 || Wenling Zhang, Cong Jiang, Ziwei Song, Zhaoshan Ye || 8|| | |Mar 20 || Wenling Zhang, Cong Jiang, Ziwei Song, Zhaoshan Ye || 8|| XGBoost: A Scalable Tree Boosting System || [https://arxiv.org/pdf/1603.02754.pdf Paper] ||[[Summary]] | ||
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|Mar 22 || | |Mar 22 || Yiqun Wang, Robert Huang, Yufeng Wang, Renato Ferreira, Beini Fan, Xiaoni Lang, Xukun Liu, Handi Gao; | ||
|| 9|| Saliency-based Sequential Image Attention with Multiset Prediction | |||
|| [http://papers.nips.cc/paper/7272-real-time-image-saliency-for-black-box-classifiers.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=stat441w18/Saliency-based_Sequential_Image_Attention_with_Multiset_Prediction Summary] | |||
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|Mar 22 || | |Mar 22 || Rosie Zou, Ameer Dharamshi , Glen Chalatov, Xinkai Wei || 10|| Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction || [https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Noh_Image_Question_Answering_CVPR_2016_paper.pdf Paper] || [http://wikicoursenote.com/wiki/stat441w18/Image_Question_Answering_using_CNN_with_Dynamic_Parameter_Prediction Summary] | ||
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|Mar 27 || || 11|| || | |Mar 27 || Abhijeet Hara, Alvin Chow, Jerry Hu, Daniel Pang, Pranav Shankar || 11|| Learning Combinatorial Optimization Algorithms over Graphs || [https://arxiv.org/abs/1704.01665 Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Learning_Combinatorial_Optimzation Summary] | ||
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|Mar 27 | || 12|| || | |Mar 27 || Kudzai Bishi, Ji Hoo Lee, Nanabena Quayson, Tharmini Velauthapillai || 12|| A Knowledge-Grounded Neural Conversation Model || [https://arxiv.org/pdf/1702.01932.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=A_Knowledge-Grounded_Neural_Conversation_Model Summary] | ||
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|Mar 29 || | |Mar 29 || Siqi Chen, Yi Shan, Yuliang Xu, Jianxing Zhang, Weifeng Liang, Yao Xiao, Jiajia Yin || 13|| Dynamic Routing Between Capsules || [http://papers.nips.cc/paper/6975-dynamic-routing-between-capsules.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Dynamic_Routing_Between_Capsules Summary] | ||
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|Mar 29 || | |Mar 29 || Ammar Mehvee, Chen Yuan, Angelica Amores, Cheryl Yang, Alaric Chow, Yoon Soo Shin, Karan Mehta , Melody Tam || 14|| Bag of Tricks for Efficient Text Classification || [https://arxiv.org/pdf/1607.01759v2.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Bag_of_Tricks_for_Efficient_Text_Classification Summary] | ||
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|Apr 3 || Qici Tan, Qi Mai, Ziheng Chu, Minghao Lu || 15|| | |Apr 3 || Qici Tan, Qi Mai, Ziheng Chu, Minghao Lu || 15|| One pixel attack for fooling deep neural networks || [https://arxiv.org/pdf/1710.08864 Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=One_pixel_attack_for_fooling_deep_neural_networks Summary] | ||
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|Apr 3 || | |Apr 3 || Haochen Song, Yang Chen, Patrick Li, Selina Chen, Sigeng Chen, Angel Gao || 16|| Deep Visual-Semantic Alignments for Generating Image Descriptions || [https://arxiv.org/pdf/1412.2306v2.pdf Paper] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title=Generating_Image_Descriptions Summary] | ||
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Latest revision as of 18:02, 31 August 2018
Your feedback on presentations
Paper presentation
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 | ||
Mar 8 | 1 | |||||
Mar 8 | 2 | |||||
Mar 13 | Faith Lee, Shiwei Gong, Jacob Lisulov | 3 | Random Features for Large Scale Kernel Machines | [1] | [2] | |
Mar 13 | Zekai S., Yitian W., Hamza M., Cameron M., Benjamin S., Xiowen S., Pavle M. | 4 | Convolutional Neural Networks for Sentence Classification | Paper | Summary | |
Mar 15 | Victor Stoev, Alex Florian, Deep Morjaria, Alessandra Iaboni, Amar Bhalla, Zach Poole, Thomas Lu, Hui Zhang | 5 | Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm | Paper | Summary | |
Mar 15 | Kecheng Li, Lisi Pan, Yanting Liu, Tangxinxin Yao, Jingyue Huang, Ming Fan, Mingguang Liu, Xiaohan Wang | 6 | A New Method of Region Embedding for Text Classification | Paper | Summary | |
Mar 20 | Yufeng Yue, Shanzi Wang, Yumeng Li, Yuyang Bao, Yun Shi, Wan Feng Cai, Ki Beom Lee, Qian Xiang | 7 | Evolutionary Generative Adversarial Networks | Paper | Summary | |
Mar 20 | Wenling Zhang, Cong Jiang, Ziwei Song, Zhaoshan Ye | 8 | XGBoost: A Scalable Tree Boosting System | Paper | Summary | |
Mar 22 | Yiqun Wang, Robert Huang, Yufeng Wang, Renato Ferreira, Beini Fan, Xiaoni Lang, Xukun Liu, Handi Gao; | 9 | Saliency-based Sequential Image Attention with Multiset Prediction | Paper | Summary | |
Mar 22 | Rosie Zou, Ameer Dharamshi , Glen Chalatov, Xinkai Wei | 10 | Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction | Paper | Summary | |
Mar 27 | Abhijeet Hara, Alvin Chow, Jerry Hu, Daniel Pang, Pranav Shankar | 11 | Learning Combinatorial Optimization Algorithms over Graphs | Paper | Summary | |
Mar 27 | Kudzai Bishi, Ji Hoo Lee, Nanabena Quayson, Tharmini Velauthapillai | 12 | A Knowledge-Grounded Neural Conversation Model | Paper | Summary | |
Mar 29 | Siqi Chen, Yi Shan, Yuliang Xu, Jianxing Zhang, Weifeng Liang, Yao Xiao, Jiajia Yin | 13 | Dynamic Routing Between Capsules | Paper | Summary | |
Mar 29 | Ammar Mehvee, Chen Yuan, Angelica Amores, Cheryl Yang, Alaric Chow, Yoon Soo Shin, Karan Mehta , Melody Tam | 14 | Bag of Tricks for Efficient Text Classification | Paper | Summary | |
Apr 3 | Qici Tan, Qi Mai, Ziheng Chu, Minghao Lu | 15 | One pixel attack for fooling deep neural networks | Paper | Summary | |
Apr 3 | Haochen Song, Yang Chen, Patrick Li, Selina Chen, Sigeng Chen, Angel Gao | 16 | Deep Visual-Semantic Alignments for Generating Image Descriptions | Paper | Summary |