Lectures: M,W,F 12:30pm - 1:20pm, PHYS 203.
Jeffrey Mark Siskind,
Office Hours: M,W 5:00pm - 6:00pm
nearest neighbor classifiers
the EM algorithm
hidden Markov models
the Viterbi algoritm
the forward/backward algorithm
the Baum-Welch reestimation procedure
probabilistic context-free grammars
forward and reverse mode automatic differentiation
convolutional neural networks
recurrent neural networks
deep reinforcement learning
constraint satisfaction problems
The course requirements and grading for ECE57000 during the fall 2018 semester
will be different than in previous years. There will be no midterm and final
exams. There will be between three and six problem sets. The exact number and
due dates will be determined over the course of the semester. These will count
for 30% of the grade in the course. The remaining 70% of the grade in the
course will be based on the following requirements which will take the place
of the exams. The grade in this course will be a letter grade with no + or -.
Students will be required to select and read three recent conference or
journal papers in the fields of AI, computer vision, robotics, natural
language processing, cognitive science, neuroscience, or machine learning.
Nominally, the papers should have been published within the last three years
in one of the following venues: AAAI, IJCAI, AIJ, JAIR, CVPR, ICCV, ECCV,
PAMI, IJCV, ICRA, IROS, RSS, TRO, ACL, EACL, NAACL, CL, TACL, Cognition,
CogSci, Nature Neuroscience, Neuron, J Neuroscience, Neuroimage, NIPS, ICML,
UAI, AISTATS, or JMLR.
You are welcome to read more than three. Your selection of papers must be
approved by me. I may be willing to accept papers from venues other than the
above and/or older than three years old. But all paper selections, whether or
not they meet the above criteria must be approved by me. You must submit your
paper selections by 5:00pm Friday 7 September 2018 with the following
(a) a BibTeX entry for each of the papers that you would like to read. For a
journal paper this should contain (at least) the paper title, authors,
journal, volume, year, and pages. For a conference paper this should
contain (at least) the paper title, authors, conference, year, and pages.
(b) a URL containing a pdf file of each paper
Paper selections will be submitted through Blackboard using a mechanism that
will be announced later in the semester.
Please note that you should not send me the paper itself. Not even the abstract.
If you intend to select papers that are older than three years old or from a
venue other than listed above, I suggest that you discuss this with me prior
to Friday 7 September 2018.
You will be required to read all three papers and implement and evaluate the
ideas from (at least) one of the papers. Thus (at least) one of the papers
that you select should contain material that is suitable for implementation.
The implementation must be nontrivial. A good guideline is that the
implementation should be at least four pages of code. This is not a strict
guideline. Ultimately, I will determine whether or not the implementation
meets the non-triviality requirement. The implementation can be in any
programming language that you choose, though obviously lower level languages
may require much more code to implement the same functionality that could be
achieved with less code in a higher level language. You must also conduct a
substantive evaluation of your implementation to determine how well it solves
the intended problem. Ideally, you should replicate the experiments presented
in the paper but I will not require this.
You will be required to write a six page paper in LaTeX meeting the
typesetting conventions of AAAI. Approximately three pages of this paper
should be a substantive critique of the three papers that you have read. And
approximately three pages of this paper should be a description of your
implementation and evaluation of the material from one of the papers. The
term paper must be submitted by 5:00pm Friday 16 November 2018.
Term papers will be submitted through Blackboard using a mechanism that will be
announced later in the semester.
The term papers will be reviewed by other students in the class. Like all
conferences, this process will be double blind: reviewers will not know the
identity of authors and vice versa. To support this, like all conferences,
you should NOT put your name on the term paper submission. In place of your
name, you should put your PUID. Also like conferences, reviews will be
confidential. The only person who will be privy to the reviews will be the
reviewer, the instructor, and the author.
I will assign each term paper to five students to read. Each student will be
required to read five student term papers (other than their own) and prepare
conference-style reviews, primarily indicating clarity and the quality of the
implementation effort. Peer reviews will be due by 5:00pm Friday 7 December
2018. The exact format for the review will be determined later in the
Reviews will be submitted through Blackboard using a mechanism that will be
announced later in the semester.
You will also be required to make a 10 minute conference-like presentation in
class during the last six weeks of classes. The exact schedule will be
determined later in the semester. But to accommodate all students in class,
presentations will start on Monday 15 October 2018. So you should be prepared
to give your presentation at any time after that. This is necessarily before
the due date for paper submissions and the due date for reviews. This
presentation should cover both a summary of the three papers that you have
read, a summary of your critique of those papers, and a description of your
implementation and evaluation. The presentation must be given from a laptop
or the computer that is builtin to the lectern in the lecture hall. You can
use whatever tools you wish to prepare your presentation (i.e. LaTeX/beamer or
PowerPoint). On the day that you are scheduled to give you presentation, you
should arrive in class early to make sure that you presentation setup works
and that you are prepared to give your presentation in the allotted time slot.
Students will be required to attend all student conference-like presentations.
Attendance will be take in the student conference-like presentations. A
passing grade will require that you not miss more than two days of class that
contain the student conference-like presentations.
EE570 | ECE | ECN | Purdue University