1. Midterm Presentation (Please select your topic from the following list)

• Convex Optimization: paper1

• Graphical Models: paper2

• Deep Neural Networks: paper3 (by Hong)

• Feature Dimensionality Reduction: paper4 (by Boze)

• Conditional Random Field: paper5 and paper6 (by Martin)

• Stochastic Gradient Descent: paper7, paper8 and paper9 (by Hengyue)

Each person makes a presentation (35-40 minutes) on one of the above topics and leaves 5 minutes for Q&A. The midterm presentation has been scheduled in a single 3-hr time slot from 11am-2pm at LAS3033 (not our regular classroom) on Oct 29 (Mon). As a result, the class on Oct 24 is cancelled.

2. Final Presentation: (Please select your topic from the following list or let me know any other topic you may be interested in.)

• Discriminative Training of HMMs: paper10 and paper11 (by Hengyue)

• Bayesian Learning of HMMs: paper12 and paper13

• Latent Semantic Analysis for Language Model: paper14 (by Boze)

• Weighted Finite State Transducer for Speech and Language Processing: paper15 (by Hong)

• SPAM filtering: paper16

• Auto Summarization: paper17 (by Martin)

• Open-Domain Q&A: paper18

Similar to the midterm presentations, each person makes a presentation (35-40 minutes) on one of the above topics and leaves 5 minutes for Q&A. The final presentation has been scheduled in a single 3-hr time slot from 2-5pm on Dec 14 (Fri), location is LAS3033. As a result, two classes on Nov 28 and Dec 3 are cancelled.