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Towards End-to-End In-Image Neural Machine Translation

Oct 20, 2020
Elman Mansimov, Mitchell Stern, Mia Chen, Orhan Firat, Jakob Uszkoreit, Puneet Jain

* Accepted as an oral presentation at EMNLP, NLP Beyond Text workshop, 2020 

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Semantic Scaffolds for Pseudocode-to-Code Generation

May 12, 2020
Ruiqi Zhong, Mitchell Stern, Dan Klein


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Imitation Attacks and Defenses for Black-box Machine Translation Systems

Apr 30, 2020
Eric Wallace, Mitchell Stern, Dawn Song


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Insertion-Deletion Transformer

Jan 15, 2020
Laura Ruis, Mitchell Stern, Julia Proskurnia, William Chan

* Accepted as an Extended Abstract at the Workshop of Neural Generation and Translation (WNGT 2019) at EMNLP 2019 

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An Empirical Study of Generation Order for Machine Translation

Oct 29, 2019
William Chan, Mitchell Stern, Jamie Kiros, Jakob Uszkoreit


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KERMIT: Generative Insertion-Based Modeling for Sequences

Jun 04, 2019
William Chan, Nikita Kitaev, Kelvin Guu, Mitchell Stern, Jakob Uszkoreit

* William Chan, Nikita Kitaev, Kelvin Guu, and Mitchell Stern contributed equally 

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Insertion Transformer: Flexible Sequence Generation via Insertion Operations

Feb 08, 2019
Mitchell Stern, William Chan, Jamie Kiros, Jakob Uszkoreit


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Blockwise Parallel Decoding for Deep Autoregressive Models

Nov 07, 2018
Mitchell Stern, Noam Shazeer, Jakob Uszkoreit

* NIPS 2018 

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Kernel Feature Selection via Conditional Covariance Minimization

Oct 20, 2018
Jianbo Chen, Mitchell Stern, Martin J. Wainwright, Michael I. Jordan

* The first two authors contributed equally 

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The Marginal Value of Adaptive Gradient Methods in Machine Learning

May 22, 2018
Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nathan Srebro, Benjamin Recht


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What's Going On in Neural Constituency Parsers? An Analysis

Apr 20, 2018
David Gaddy, Mitchell Stern, Dan Klein

* NAACL 2018 

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Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Apr 11, 2018
Noam Shazeer, Mitchell Stern


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Stochastic Cubic Regularization for Fast Nonconvex Optimization

Dec 05, 2017
Nilesh Tripuraneni, Mitchell Stern, Chi Jin, Jeffrey Regier, Michael I. Jordan

* The first two authors contributed equally 

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Effective Inference for Generative Neural Parsing

Jul 27, 2017
Mitchell Stern, Daniel Fried, Dan Klein

* EMNLP 2017 

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Improving Neural Parsing by Disentangling Model Combination and Reranking Effects

Jul 10, 2017
Daniel Fried, Mitchell Stern, Dan Klein

* ACL 2017. The first two authors contributed equally 

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A Minimal Span-Based Neural Constituency Parser

May 10, 2017
Mitchell Stern, Jacob Andreas, Dan Klein

* To appear in ACL 2017 

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Abstract Syntax Networks for Code Generation and Semantic Parsing

Apr 25, 2017
Maxim Rabinovich, Mitchell Stern, Dan Klein

* ACL 2017. MR and MS contributed equally 

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