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|Mar 8 ||  || 2||  ||  ||  
|Mar 8 ||  || 2||  ||  ||  
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|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||  
|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 ||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]
|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 ||Victor Stoev, Alex Florian, Deep Morjaria, Alessandra Iaboni, Amar Bhalla, Zach Poole, Thomas Lu, Wendy Zhang  || 5|| Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm || [https://arxiv.org/abs/1712.01815 Paper]  ||  
|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 || 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] ||
|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 || Yufeng Yue, Shanzi Wang, Yumeng Li, Yuyang Bao, Yun Shi, Wan Feng Cai, Ki Beom Lee, Qian Xiang  || 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|| XGBoost: A Scalable Tree Boosting System. || [https://arxiv.org/pdf/1603.02754.pdf Paper] ||  
|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 || Alice Wang, Robert Huang, Yufeng Wang, Renato Ferreira, Beini Fan, Xiaoni Lang, Xukun Liu, Handi Gao;  
|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
|| 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] ||  
  ||  [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 || 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]  ||  
|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 || Abhijeet Hara, Alvin Chow, Jerry Hu, Daniel Pang, Pranav Shankar  || 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 ||  Kudzai Bishi,  Ji Hoo Lee, Nanabena Quayson, Tharmini Velauthapillai  || 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 || 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] ||  
|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 || 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 || ||
|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|| ImageNet Classification with Deep Convolutional Neural Networks || [http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf Paper]  ||  
|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 || Haochen, Yang, Patrick, Selina, Sigeng, Angel || 16|| ||   ||  
|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 17:02, 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
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