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|Mar 22 || Alice Wang, Robert Huang, Yufeng Wang, Renato Ferreira, Beini Fan, Xiaoni Lang, Xukun Liu, Handi Gao; | |Mar 22 || Alice 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] || [https://wiki.math.uwaterloo.ca/statwiki/index.php?title= | || [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] | ||
|- | |- | ||
|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] | |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] |
Revision as of 11:48, 15 March 2018
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Feb 15 (example) | Ri Wang | Sequence to sequence learning with neural networks. | Paper | Summary | ||
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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, Wendy 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 | Alice 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 | ||
Mar 27 | Kudzai Bishi, Ji Hoo Lee, Nanabena Quayson, Tharmini Velauthapillai | 12 | A Knowledge-Grounded Neural Conversation Model | Paper | ||
Mar 29 | Siqi Chen, Yi Shan, Yuliang Xu, Jianxing Zhang, Weifeng Liang, Yao Xiao, Jiajia Yin | 13 | Dynamic Routing Between Capsules | Paper | ||
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 | |||
Apr 3 | Qici Tan, Qi Mai, Ziheng Chu, Minghao Lu | 15 | ImageNet Classification with Deep Convolutional Neural Networks | Paper | ||
Apr 3 | Haochen, Yang, Patrick, Selina, Sigeng, Angel | 16 | Deep Visual-Semantic Alignments for Generating Image Descriptions |