Yuntian Deng
Yuntian Deng
PhD Student, Harvard University
Verified email at seas.harvard.edu
Title
Cited by
Cited by
Year
Opennmt: Open-source toolkit for neural machine translation
G Klein, Y Kim, Y Deng, J Senellart, AM Rush
arXiv preprint arXiv:1701.02810, 2017
12882017
Bottom-up abstractive summarization
S Gehrmann, Y Deng, AM Rush
arXiv preprint arXiv:1808.10792, 2018
3232018
Image-to-markup generation with coarse-to-fine attention
Y Deng, A Kanervisto, J Ling, AM Rush
International Conference on Machine Learning, 980-989, 2017
133*2017
Diversifying restricted boltzmann machine for document modeling
P Xie, Y Deng, E Xing
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
752015
Latent alignment and variational attention
Y Deng, Y Kim, J Chiu, D Guo, AM Rush
arXiv preprint arXiv:1807.03756, 2018
722018
Opennmt: Neural machine translation toolkit
G Klein, Y Kim, Y Deng, V Nguyen, J Senellart, AM Rush
arXiv preprint arXiv:1805.11462, 2018
662018
Entity hierarchy embedding
Z Hu, P Huang, Y Deng, Y Gao, E Xing
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
632015
Neural machine translation with recurrent attention modeling
Z Yang, Z Hu, Y Deng, C Dyer, A Smola
arXiv preprint arXiv:1607.05108, 2016
522016
Dropout with expectation-linear regularization
X Ma, Y Gao, Z Hu, Y Yu, Y Deng, E Hovy
arXiv preprint arXiv:1609.08017, 2016
222016
On the generalization error bounds of neural networks under diversity-inducing mutual angular regularization
P Xie, Y Deng, E Xing
arXiv preprint arXiv:1511.07110, 2015
212015
Residual energy-based models for text generation
Y Deng, A Bakhtin, M Ott, A Szlam, MA Ranzato
arXiv preprint arXiv:2004.11714, 2020
202020
Real or fake? learning to discriminate machine from human generated text
A Bakhtin, S Gross, M Ott, Y Deng, MA Ranzato, A Szlam
arXiv preprint arXiv:1906.03351, 2019
202019
Learning concept taxonomies from multi-modal data
H Zhang, Z Hu, Y Deng, M Sachan, Z Yan, EP Xing
arXiv preprint arXiv:1606.09239, 2016
202016
Learning latent space models with angular constraints
P Xie, Y Deng, Y Zhou, A Kumar, Y Yu, J Zou, EP Xing
International Conference on Machine Learning, 3799-3810, 2017
192017
Neural linguistic steganography
ZM Ziegler, Y Deng, AM Rush
arXiv preprint arXiv:1909.01496, 2019
142019
Energy-based models for text
A Bakhtin, Y Deng, S Gross, M Ott, MA Ranzato, A Szlam
arXiv preprint arXiv:2004.10188, 2020
62020
Adaptivfloat: A floating-point based data type for resilient deep learning inference
T Tambe, EY Yang, Z Wan, Y Deng, VJ Reddi, A Rush, D Brooks, GY Wei
arXiv preprint arXiv:1909.13271, 2019
62019
Challenges in end-to-end neural scientific table recognition
Y Deng, D Rosenberg, G Mann
2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019
62019
Latent variable modeling with diversity-inducing mutual angular regularization
P Xie, Y Deng, E Xing
arXiv preprint arXiv:1512.07336, 2015
62015
Algorithm-Hardware Co-Design of Adaptive Floating-Point Encodings for Resilient Deep Learning Inference
T Tambe, EY Yang, Z Wan, Y Deng, VJ Reddi, A Rush, D Brooks, GY Wei
42020
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