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Spring 2017 Reading Schedule

Ajay Nagesh edited this page Feb 22, 2017 · 29 revisions

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 Robert Henderson Emergence of Gricean Maxims from Multi-Agent Decision Theory 3/24/2017 GS 906
11 Heather Lent CHARAGRAM: Embedding Words and Sentences via Character n-grams 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
6 Clay Morrison Tutorial [blogpost] https://openai.com/blog/generative-models/ 2/17/2017
8 Michael Capizzi Supplementary Notes 11/4/2016