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	9th Sep 2017	GS 906
2	Jack Dukatz	Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records	15th Sep 2017	GS 906
3	John Blazic	Men Also Like Shopping: Reducing Gender Bias Using Corpus-level Constraints	22nd Sep 2017	GS 906
4	Marco/Clay	Discovering Structure in High-Dimensional Data Through Correlation Explanation (CorEx) / The Information Sieve (related to above) (ICML 2016)	29th Sep 2017	GS 906
5	Mihai Surdeanu	Deep Learning for NLP Best Practices	6th Oct 2017	GS 906
6	Enrique Noriega	DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning	13th Oct 2017	GS 906
7	Mithun Paul	VERB PHYSICS: Relative Physical Knowledge of Actions and Objects	20th Oct 2017	GS 906
8	Megan	Understanding Deep Learning Requires Rethinking Generalization	27th Oct 2017	GS 906
9	Cathy Walsh	Part-of-Speech Tagging from 97% to 100%: Is It Time for Some Linguistics?	3rd Nov 2017	GS 906
10	Nick	Morph-fitting: Fine-Tuning Word Vector Spaces with Simple Language-Specific Rules	10th Nov 2017	GS 906
11	Michael Capizzi	Adversarial Examples for Evaluating Reading Comprehension Systems	17th Nov 2017	GS 906
12	Enrique Noriega	Evolution Strategies as a Scalable Alternative to Reinforcement Learning	1st Dec 2017	GS 906
13	Adam King	Learning to Paraphrase for Question Answering	8th Dec 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 and LRP tutorials and demos	9/9/2017
8	Megan	blog	27th Oct 2017
9	Cathy Walsh	Linguistically Naive != Language Independent: Why NLP Needs Linguistic Typology	3rd Nov 2017
12	Enrique Noriega	Blog	1st Dec 2017