Spring 2017 Reading Schedule

Reading Schedule for Spring 2017

Order	Presenter	Paper	Date	Location
1	Jack Dukatz	Deciding the thought vector	1/20/2017	GS 906
2	Steven Bethard	Learning to Transduce with Unbounded Memory	1/27/2017	GS 906
3	Megan Kittleson	Robust Real-Time Music Transcription with a Compositional Hierarchical Model	2/3/2017	GS 906
4	Dane Bell	Is an Image Worth More than a Thousand Words? On the Fine-Grain Semantic Differences between Visual and Linguistic Representations	2/10/2017	GS 906
5	Enrique Noriega	Coreference resolution using RL	2/17/2017	GS 906
6	Clayton Morrison	Generative Adversarial Nets	2/24/2017	GS 906
7	Trevor Sullivan	A Decomposable Attention Model for Natural Language Inference	3/3/2017	GS 906
8	Michael Capizzi	Deep Speech 2: End-to-End Speech Recognition in English and Mandarin	3/10/2017	GS 906
9	----	Spring Break	3/17/2016	---
10	Heather Lent	CHARAGRAM: Embedding Words and Sentences via Character n-grams	3/24/2017	GS 906
11	Robert Henderson	Emergence of Gricean Maxims from Multi-Agent Decision Theory	3/31/2017	GS 906
12	Gus Hahn-Powell	Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks	4/7/2017	GS 906
13	John Blazic	Global Neural CCG Parsing with Optimality Guarantees	4/14/2017	GS 906
14	Marco Valenzuela	Joint Extraction of Events and Entities within a Document Context	4/21/2017	GS 906
15	Ajay Nagesh	Quasi-Recurrent Neural Networks	4/28/2017	GS 906
16	Nick Klohen	Implicitly incorporating morphological information into word embeddings	5/5/2017	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
2	Steven Bethard	Blogpost - sample code	1/27/2017
6	Clay Morrison	NIPS 2017 Tutorial, Blogpost - overview, Blogpost - sample code, NIPS 2016 workshop, Ian Goodfellow's slides	2/24/2017
7	Trevor Sullivan	Blogpost, code	3/3/2017
8	Michael Capizzi	Blogpost	3/10/2017
15	Ajay Nagesh	Blogpost - overview, Background - LSTMs, Background - CNNs, Paper reviews, Reddit	4/28/2017