Fall 2017 Reading Schedule

(Presenters: It will be helpful if you can do a 5 min primer of all the new terms in the paper you are presenting.

Readers: Please scroll down for supplementary reading materials suggested by the respective presenters.)

Order	Presenter	Paper	Date	Location
1	Dane Bell	Explaining Recurrent Neural Network Predictions in Sentiment Analysis	9/8/2017	GS 906
2	Jack Dukatz	Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records	9/15/2017	GS 906
3	John Blazic	Men Also Like Shopping: Reducing Gender Bias Using Corpus-level Constraints	9/22/2017	GS 906
4	Clayton Morisson	Discovering Structure in High-Dimensional Data Through Correlation Explanation (CorEx)	9/29/2017	GS 906
5	Rebecca Sharp	Deep Learning for NLP Best Practices	10/6/2017	GS 906
6	Enrique Noriega	DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning	10/13/2017	GS 906
7	Mithun Paul	VERB PHYSICS: Relative Physical Knowledge of Actions and Objects	10/20/2017	GS 906
8	Megan	Understanding Deep Learning Requires Rethinking Generalization	10/27/2017	GS 906
9	Cathy Walsh	Part-of-Speech Tagging from 97% to 100%: Is It Time for Some Linguistics?	11/3/2017	GS 906
10	Nick	Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules	11/10/2017	GS 906
11	Michael Capizzi	Adversarial Examples for Evaluating Reading Comprehension Systems	11/17/2017	GS 906
12	Enrique Noriega	Evolution Strategies as a Scalable Alternative to Reinforcement Learning	12/1/2017	GS 906
13	Adam King	Learning to Paraphrase for Question Answering	12/8/2017	GS 906

Supplementary Materials

Below is a list of any important related resources that the presenter has asked to be made available to the reading group.

Order	Presenter	Additional Resources	Date
1	Dane Bell	LRP for pixels, convolutional LRP for NLP, comparison of LRP with other relevance visualizations, and LRP tutorials and demos	9/9/2017
4	Clayton Morrison	The Information Sieve	9/25/2017
8	Megan	blog	10/27/2017
9	Cathy Walsh	Linguistically Naive != Language Independent: Why NLP Needs Linguistic Typology	11/3/2017
12	Enrique Noriega	Blog	12/1/2017