OpenNMT: Open-Source Toolkit for Neural Machine Translation G Klein, Y Kim, Y Deng, J Senellart, AM Rush ACL Demo, 2017 | 2365 | 2017 |
Bottom-Up Abstractive Summarization S Gehrmann, Y Deng, AM Rush EMNLP, 2018 | 816 | 2018 |
Image-to-Markup Generation with Coarse-to-Fine Attention Y Deng, A Kanervisto, J Ling, AM Rush ICML, 2017 | 325* | 2017 |
Residual Energy-Based Models for Text Generation Y Deng, A Bakhtin, M Ott, A Szlam, MA Ranzato ICLR, 2020 | 176* | 2020 |
Latent Alignment and Variational Attention Y Deng, Y Kim, J Chiu, D Guo, A Rush NeurIPS, 2018 | 151 | 2018 |
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 | 133 | 2019 |
Neural Linguistic Steganography ZM Ziegler, Y Deng, AM Rush EMNLP, 2019 | 118 | 2019 |
Diversifying Restricted Boltzmann Machine for Document Modeling P Xie, Y Deng, E Xing KDD, 2015 | 89 | 2015 |
Entity Hierarchy Embedding Z Hu, P Huang, Y Deng, Y Gao, E Xing ACL, 2015 | 88 | 2015 |
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 DAC, 2019 | 85* | 2019 |
Challenges in end-to-end neural scientific table recognition Y Deng, D Rosenberg, G Mann ICDAR, 2019 | 62 | 2019 |
Neural Machine Translation with Recurrent Attention Modeling Z Yang, Z Hu, Y Deng, C Dyer, A Smola EACL, 2016 | 62 | 2016 |
Dropout with Expectation-linear Regularization X Ma, Y Gao, Z Hu, Y Yu, Y Deng, E Hovy ICLR, 2016 | 56 | 2016 |
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics M Zvyagin, A Brace, K Hippe, Y Deng, B Zhang, CO Bohorquez, A Clyde, ... The International Journal of High Performance Computing Applications 37 (6 …, 2023 | 51 | 2023 |
WildChat: 1M ChatGPT Interaction Logs in the Wild W Zhao, X Ren, J Hessel, C Cardie, Y Choi, Y Deng ICLR, 2024 | 32 | 2024 |
Learning Concept Taxonomies from Multi-modal Data H Zhang, Z Hu, Y Deng, M Sachan, Z Yan, EP Xing ACL, 2016 | 30 | 2016 |
Rationales for Sequential Predictions K Vafa, Y Deng, DM Blei, AM Rush EMNLP, 2021 | 29 | 2021 |
Learning Latent Space Models with Angular Constraints P Xie, Y Deng, Y Zhou, A Kumar, Y Yu, J Zou, EP Xing ICML, 2017 | 26 | 2017 |
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 | 25 | 2015 |
Visual Attention Model for Cross-sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning R Zhao, Y Deng, M Dredze, A Verma, D Rosenberg, A Stent FLAIRS, 2018 | 15 | 2018 |