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MusPy: A Toolkit for Symbolic Music Generation

Aug 05, 2020
Hao-Wen Dong, Ke Chen, Julian McAuley, Taylor Berg-Kirkpatrick

* Accepted by International Society for Music Information Retrieval Conference (ISMIR), 2020 

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Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm

Aug 04, 2020
Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov

* 8 pages, 8 figures, Proceedings of the 21st International Society for Music Information Retrieval Conference, ISMIR 2020 

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Learning Sparse Prototypes for Text Generation

Jun 29, 2020
Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig

* 8 pages of main content 

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Phonetic and Visual Priors for Decipherment of Informal Romanization

May 05, 2020
Maria Ryskina, Matthew R. Gormley, Taylor Berg-Kirkpatrick

* To appear at ACL 2020 

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A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing

May 04, 2020
Kartik Goyal, Chris Dyer, Christopher Warren, Max G'Sell, Taylor Berg-Kirkpatrick

* To appear at ACL 2020 

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A Probabilistic Formulation of Unsupervised Text Style Transfer

Mar 11, 2020
Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick

* ICLR 2020 conference paper (spotlight). The first two authors contributed equally 

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Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods

Jan 21, 2020
Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick, David R. Mortensen, Yulia Tsvetkov

* Proceedings of the Society for Computation in Linguistics 3.1 (2020): 43-52 
* SCiL 2020 

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A Bilingual Generative Transformer for Semantic Sentence Embedding

Nov 10, 2019
John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick


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A Deep Factorization of Style and Structure in Fonts

Oct 02, 2019
Akshay Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick

* EMNLP 2019 (oral) 

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Simple and Effective Paraphrastic Similarity from Parallel Translations

Sep 30, 2019
John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick

* Published as a short paper at ACL 2019 

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Learning Rhyming Constraints using Structured Adversaries

Sep 15, 2019
Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime Carbonell, Taylor Berg-Kirkpatrick

* EMNLP-IJCNLP 2019 Short Paper 

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Beyond BLEU: Training Neural Machine Translation with Semantic Similarity

Sep 14, 2019
John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig

* Published as a long paper at ACL 2019 

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A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text

Sep 02, 2019
Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang

* EMNLP 2019 short paper. The first two authors contributed equally 

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An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search

Apr 15, 2019
Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick

* Long paper at NAACL 2019 

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Lagging Inference Networks and Posterior Collapse in Variational Autoencoders

Jan 28, 2019
Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick

* ICLR 2019 Conference Paper 

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Speaker-Follower Models for Vision-and-Language Navigation

Oct 27, 2018
Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell

* NIPS 2018 

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Modeling Online Discourse with Coupled Distributed Topics

Oct 01, 2018
Akshay Srivatsan, Zachary Wojtowicz, Taylor Berg-Kirkpatrick

* EMNLP 2018 

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Learning to Describe Differences Between Pairs of Similar Images

Aug 31, 2018
Harsh Jhamtani, Taylor Berg-Kirkpatrick

* EMNLP 2018 

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Unsupervised Learning of Syntactic Structure with Invertible Neural Projections

Aug 28, 2018
Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick

* EMNLP 2018 

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Unsupervised Text Style Transfer using Language Models as Discriminators

May 31, 2018
Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick


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Visual Referring Expression Recognition: What Do Systems Actually Learn?

May 30, 2018
Volkan Cirik, Louis-Philippe Morency, Taylor Berg-Kirkpatrick

* NAACL2018 short 

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Using Syntax to Ground Referring Expressions in Natural Images

May 26, 2018
Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency

* AAAI 2018 

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SPINE: SParse Interpretable Neural Embeddings

Nov 23, 2017
Anant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard Hovy

* AAAI 2018 

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A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models

Oct 06, 2017
Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick

* Updated for clarity and notational consistency 

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Efficient Correlated Topic Modeling with Topic Embedding

Jul 01, 2017
Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing

* KDD 2017 oral. The first two authors contributed equally 

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Improved Variational Autoencoders for Text Modeling using Dilated Convolutions

Jun 18, 2017
Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick

* camera ready 

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Automatic Compositor Attribution in the First Folio of Shakespeare

Apr 25, 2017
Maria Ryskina, Hannah Alpert-Abrams, Dan Garrette, Taylor Berg-Kirkpatrick

* Short paper (6 pages) accepted at ACL 2017 

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Differentiable Scheduled Sampling for Credit Assignment

Apr 23, 2017
Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick

* Accepted at ACL2017 (http://bit.ly/2oj1muX

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