4Credit Students Only: Research Seminar
Students taking the course for 4cr are required to attend a weekly research seminar. This will probably be Mondays 12pm, beginning in the second week of the course. Seminar grades are based on:
 Presentations. Every student will give a threeslide presentation, every week. Presentations should follow distributed templates, but will cover research papers of your own choosing. If you miss attendance at one seminar during the semester, it won't count against you; if you need to miss two or more, please contact the professor to discuss.

Slides. Each of you will submit your slides
(PDF) on Gradescope. It's strongly recommended that you
use Beamer.
 Note: Slides will be shared on a google drive with all members of the grad section, unless your title slide includes the words ``not for coursework.''
 Session Summaries. Every week, each of you will enter, into Gradescope, a very short summary of your breakout session. This will include the names of the other students (you can copy this from their zoom window), and a two or three sentence summary of their presentation topic.
Detailed Schedule
Presentation topics for each week are listed below. You will be choosing, on your own, two papers from the research literature that you want to read. You will also be required to read the papers chosen by three other students in your small group. You will have the chance to present your own research during the third part of the course: you may present your thesis research, your project from another course, or you may present a third paper from the research literature.
Week  Topic  Required Slides 

2/1  How to use LaTeX  (a) quad chart 
(week02_template.zip)  (b) equations  
(c) citations  
2/8  Paper 1 Overview  (a) Objective and relationship to AI 
(week03_template.zip)  (b) Most relevant previous solutions or partial solutions  
(c) Technical approach  
2/15  Paper 1 Algorithm Derivation  (a) Block diagram/schematic of the algorithm 
(week04_template.zip)  (b) Algorithm equation, and definition of its variables  
(c) Algorithm derivation: one key step  
2/22  Paper 1 Experimental Test  (a) Data used in testing: definition and stats 
(week05_template.zip)  (b) Test metric: equation, and definition of its variables  
(c) Test results table or chart  
3/1  Quad charts  (d) Quad chart of the paper one of your fellow students presented 
(week06_template.zip)  (b) Quad chart of the paper another student presented  
(c) Quad chart of the paper a third student presented  
3/8  Paper 2 Overview  (a) Objective and relationship to AI 
(week07_template.zip)  (b) Most relevant previous solutions or partial solutions  
(c) Technical approach  
3/15  Paper 2 Algorithm Derivation  (a) Block diagram/schematic of the algorithm 
(week08_template.zip)  (b) Algorithm equation, and definition of its variables  
(c) Algorithm derivation: one key step  
3/22  Paper 2 Experimental Test  (a) Data used in testing: definition and stats 
(week09_template.zip)  (b) Test metric: equation, and definition of its variables  
(c) Test results table or chart  
3/29  Quad charts  (a) Quad chart of the paper one of your fellow students presented 
(week10_template.zip)  (b) Quad chart of the paper another student presented  
(c) Quad chart of the paper a third student presented  
4/5  Paper 3 Overview  (a) Objective and relationship to AI 
(week11_template.zip)  (b) Most relevant previous solutions or partial solutions  
(c) Technical approach  
4/12  Paper 3 Derivation  (a) Block diagram/schematic of the algorithm 
(week12_template.zip)  (b) Algorithm equation, and definition of its variables  
(c) Algorithm derivation: one key step  
4/19  Paper 3 Experimental Test  (a) Data used in testing: definition and stats 
(week13_template.zip)  (b) Test metric: equation, and definition of its variables  
(c) Test results table or chart  
4/26  Quad charts  (a) Quad chart of the papers three of your fellow students presented 
(week14_template.zip)  (b) Quad chart of the paper another student presented  
(c) Quad chart of the paper a third student presented  
5/3  No seminar 
Major conferences
Here is a list of major conferences and journals that you can browse to find interesting papers.
 Core AI
 AAAI, IJCAI
 IEEE Transactions on Artificial Intelligence
 Computer vision
 CVPR, ICCV, ECCV
 IEEE Transactions on Computer Vision
 International Journal of Computer Vision
 Natural language
 ACL, NAACL, EACL, EMNLP, COLING (All available at the ACL anthology web site.)
 Computational Linguistics
 Speech
 ICASSP, Interspeech
 IEEE Transactions on Audio, Speech and Language
 ACM Transactions on Asian and UnderResourced Languages
 Speech Communication
 Computer Speech and Language
 Machine Learning
 NeurIPS, ICML, ICLR
 IEEE Transactions on Pattern Analysis and Machine Intelligence
 IEEE Transactions on Neural Networks and Learning Systems
 Pattern Recognition
 Robotics
 ICRA, IROS
 IEEE Transactions on Robotics
 Robotics