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--- presentations [2016/11/18 21:56] – hj
+++ presentations [2016/11/27 21:39] (current) – hj
@@ Line 6: / Line 6: @@
 The presentations will be organized into two afternoon sessions: **1-5pm on Nov 25 (Friday) <fc red> @HNE 037 </fc> and 1-5pm on Nov 30 (Wednesday) <fc red> @LAS3033  </fc> **.
-Each person will make a 20-25 min presentation (including Q&A). To save time,  you need to email your PPT to a session chair (to be named) before 10am that today (otherwise, your mark will be deducted).
+Each person will make a 20-25 min presentation (including Q&A). To save time,  you need to email your PPT to a session chair (to be named) before 10am that day (otherwise, your mark will be deducted).
-**<fc red> Nov 25 (Friday): </fc>**  all presentations NOT related to deep learning. Feng Wei <fwei@cse.yorku.ca> will coordinate the session. Email him your slides by 10am Nov 25. The presentation will take place from 1pm in the following order:
+**<fc red> Nov 25: </fc>**  all presentations NOT related to deep learning. Feng Wei <fwei@cse.yorku.ca> will coordinate the session. Email him your slides by 10am Nov 25. The presentation will take place from 1pm @HNE 037 in the following order:
   - Chao Wang
@@ Line 19: / Line 19: @@
   - Yangguang Li
-**<fc red> Nov 30 (Friday): </fc>**  all presentations related to deep learning. Chao Wang <chwang@cse.yorku.ca> will coordinate the session. Email him your slides by 10am Nov 30. The presentation will take place from 1pm in the following order:
+**<fc red> Nov 30: </fc>**  all presentations related to deep learning. Chao Wang <chwang@cse.yorku.ca> will coordinate the session. Email him your slides by 10am Nov 30. The presentation will take place from 1pm @LAS3033 in the following order:
   - Matthew Tesfaldet
@@ Line 29: / Line 29: @@
   - Meng Jia
-== The advanced topics include: ==
+=== The advanced topics include: ===
   * **Hemanth Pidaparthy**: RNNs/LSTMs for Image Captioning
-    - [[http://cs.stanford.edu/people/karpathy/cvpr2015.pdf|Deep-Visual Semantic Alginments for Generating Image Descriptions]]
+    - [[http://www.cv-foundation.org/openaccess/content_cvpr_2015/papers/Vinyals_Show_and_Tell_2015_CVPR_paper.pdf|Show and Tell: A Neural Image Caption Generator]]
     - [[http://vision.stanford.edu/pdf/KarpathyICLR2016.pdf|Visualizing and Understanding Recurrent Neural Networks]]
   * **Yifan Li**: HMMs