1. Introduction - What is this paper about (50,000 feet)? - What is the context of this work? - What ML method(s) does it use? - Why does the use of ML make sense for this problem? - How does it build upon, utilize, or extend other work? - What is novel or interesting in this paper IN YOUR OPINION? 2. Positive Points [What I like about this paper. Provide at least three bullet items.] - Item 1 - Item 2 - Item 3 Example: "system Q handles the common case well -- very popular file access requests are given greater resources using a novel credit scheme" 3. Negative Points [What I don't like about this paper. Provide at least three bullet items.] - Item 1 - Item 2 - Item 3 Example: "the computing model assumes that we know in advance when users will be logging in to their machines, this is not realistic!" 4. Research Questions and Points for Discussion [Provide several questions or points for discussion for class and be ready to ask them. Examples of good discussion questions include clarification of specific issues (at most one item of this type please), questions about claims made by the authors, ``what if'' questions about situations that aren't handled well by the ideas in the paper, or specific suggestions for improvement.] - Item 1 - Item 2 - Item 3 Example: "however, if we had an approximate model of how long a machine might be available, we could recast the problem in this way: ...."