Graham Neubig

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Satoshi NakamuraNara Institute of Science and TechnologyVerified email at is.naist.jp
Sakriani SaktiAssoc. Prof. of JAIST; Adjunct Assoc. Prof. of NAISTVerified email at is.naist.jp
Tomoki TodaNagoya UniversityVerified email at icts.nagoya-u.ac.jp
Pengcheng YinGoogleVerified email at google.com
Antonis AnastasopoulosAssistant Professor, George Mason UniversityVerified email at gmu.edu
Paul MichelPost-doc, Center for Data Science/LSCP, École Normale SupérieureVerified email at inria.fr
Yusuke ODAHead of Machine Intelligence Unit, LegalForceVerified email at legalforce.co.jp
Junjie HuAssistant Professor, University of Wisconsin-MadisonVerified email at wisc.edu
Xinyi WangPhD student, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Taylor Berg-KirkpatrickUniversity of California San DiegoVerified email at ucsd.edu
Chunting ZhouCarnegie Mellon UniversityVerified email at cs.cmu.edu
Junxian HeCarnegie Mellon UniversityVerified email at cs.cmu.edu
Kevin DuhJohns Hopkins UniversityVerified email at cs.jhu.edu
Chris DyerDeepMind, Carnegie MellonVerified email at google.com
Zhengbao JiangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Shinnosuke TakamichiUniversity of TokyoVerified email at ipc.i.u-tokyo.ac.jp
Matthias SperberAppleVerified email at apple.com
Pengfei LiuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Tatsuya KawaharaProfessor, School of Informatics, Kyoto UniversityVerified email at i.kyoto-u.ac.jp
Hiroaki HayashiSalesforce ResearchVerified email at salesforce.com

Graham Neubig

Associate Professor of Computer Science, Carnegie Mellon University

Verified email at cs.cmu.edu - Homepage

Natural Language Processing Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A Syntactic Neural Model for General-Purpose Code Generation P Yin, G Neubig ACL 2017, 2017	492	2017
Are Sixteen Heads Really Better than One? P Michel, O Levy, G Neubig NeurIPS 2019, 2019	422	2019
XTREME: A massively multilingual multi-task benchmark for evaluating cross-lingual generalization J Hu, S Ruder, A Siddhant, G Neubig, O Firat, M Johnson ICML 2020, 2020	403	2020
Dynet: The dynamic neural network toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017	403*	2017
Pointwise prediction for robust, adaptable Japanese morphological analysis G Neubig, Y Nakata, S Mori ACL 2011, 529-533, 2011	306	2011
How can we know what language models know? Z Jiang, FF Xu, J Araki, G Neubig TACL 8, 423-438, 2020	293	2020
Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing P Liu, W Yuan, J Fu, Z Jiang, H Hayashi, G Neubig arXiv preprint arXiv:2107.13586, 2021	280	2021
When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation? Y Qi, DS Sachan, M Felix, SJ Padmanabhan, G Neubig NAACL 2018, 2018	258	2018
Learning to generate pseudo-code from source code using statistical machine translation (t) Y Oda, H Fudaba, G Neubig, H Hata, S Sakti, T Toda, S Nakamura ASE 2015, 574-584, 2015	246	2015
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders J He, D Spokoyny, G Neubig, T Berg-Kirkpatrick ICLR 2019, 2019	225	2019
Controllable Invariance through Adversarial Feature Learning Q Xie, Z Dai, Y Du, E Hovy, G Neubig NIPS 2017, 2017	210	2017
Stress Test Evaluation for Natural Language Inference A Naik, A Ravichander, N Sadeh, C Rose, G Neubig COLING 2018, 2018	203	2018
Incorporating discrete translation lexicons into neural machine translation P Arthur, G Neubig, S Nakamura EMNLP 2016, 2016	187	2016
Neural machine translation and sequence-to-sequence models: A tutorial G Neubig arXiv preprint arXiv:1703.01619, 2017	183	2017
Controlling output length in neural encoder-decoders Y Kikuchi, G Neubig, R Sasano, H Takamura, M Okumura EMNLP 2016, 2016	180	2016
TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data P Yin, G Neubig, W Yih, S Riedel ACL 2020, 2020	163	2020
Stack-Pointer Networks for Dependency Parsing X Ma, Z Hu, J Liu, N Peng, G Neubig, E Hovy ACL 2018, 2018	157	2018
Learning to translate in real-time with neural machine translation J Gu, G Neubig, K Cho, VOK Li EACL 2017, 2016	151	2016
Competence-based Curriculum Learning for Neural Machine Translation EA Platanios, O Stretcu, G Neubig, B Poczos, TM Mitchell NAACL 2019, 2019	143	2019
What Do Recurrent Neural Network Grammars Learn About Syntax? A Kuncoro, M Ballesteros, L Kong, C Dyer, G Neubig, NA Smith EACL 2017, 2017	143	2017

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