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Model Criticism for Long-Form Text Generation


Oct 16, 2022
Yuntian Deng, Volodymyr Kuleshov, Alexander M. Rush

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* EMNLP 2022 

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Markup-to-Image Diffusion Models with Scheduled Sampling


Oct 11, 2022
Yuntian Deng, Noriyuki Kojima, Alexander M. Rush

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Semi-Parametric Deep Neural Networks in Linear Time and Memory


May 24, 2022
Richa Rastogi, Yuntian Deng, Ian Lee, Mert R. Sabuncu, Volodymyr Kuleshov

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Low-Rank Constraints for Fast Inference in Structured Models


Jan 08, 2022
Justin T. Chiu, Yuntian Deng, Alexander M. Rush

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* 22 pages. Published at NeurIPS 2021 

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Rationales for Sequential Predictions


Sep 14, 2021
Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush

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* To appear in the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) 

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Weighted Gaussian Process Bandits for Non-stationary Environments


Jul 06, 2021
Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness Shroff

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Cascaded Text Generation with Markov Transformers


Jun 01, 2020
Yuntian Deng, Alexander M. Rush

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Residual Energy-Based Models for Text Generation


Apr 22, 2020
Yuntian Deng, Anton Bakhtin, Myle Ott, Arthur Szlam, Marc'Aurelio Ranzato

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* ICLR 2020 
* published at ICLR 2020. arXiv admin note: substantial text overlap with arXiv:2004.10188 

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Energy-Based Models for Text


Apr 06, 2020
Anton Bakhtin, Yuntian Deng, Sam Gross, Myle Ott, Marc'Aurelio Ranzato, Arthur Szlam

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* long journal version 

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AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference


Oct 15, 2019
Thierry Tambe, En-Yu Yang, Zishen Wan, Yuntian Deng, Vijay Janapa Reddi, Alexander Rush, David Brooks, Gu-Yeon Wei

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* 10 pages 

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