papers
Publications (16)
cs.AI2017
Neural Program Meta-Induction
Jacob Devlin, Rudy Bunel, Rishabh Singh +2
cs.LG2018
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
Rudy Bunel, Matthew Hausknecht, Jacob Devlin +2
cs.CL2015
Language Models for Image Captioning: The Quirks and What Works
Jacob Devlin, Hao Cheng, Hao Fang +5
cs.CL2017
Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU
Jacob Devlin
cs.AI2017
RobustFill: Neural Program Learning under Noisy I/O
Jacob Devlin, Jonathan Uesato, Surya Bhupatiraju +3
cs.AI2017
Semantic Code Repair using Neuro-Symbolic Transformation Networks
Jacob Devlin, Jonathan Uesato, Rishabh Singh +1
cs.CL2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee +1
cs.CL2015
Detecting Interrogative Utterances with Recurrent Neural Networks
Junyoung Chung, Jacob Devlin, Hany Hassan Awadalla
cs.CL2019
Language Model Pre-training for Hierarchical Document Representations
Ming-Wei Chang, Kristina Toutanova, Kenton Lee +1
cs.CV2015
Exploring Nearest Neighbor Approaches for Image Captioning
Jacob Devlin, Saurabh Gupta, Ross Girshick +2
cs.CL2019
Zero-Shot Entity Linking by Reading Entity Descriptions
Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee +3
cs.CL2016
Visual Storytelling
Ting-Hao, Huang, Francis Ferraro +13
cs.CL2015
Statistical Machine Translation Features with Multitask Tensor Networks
Hendra Setiawan, Zhongqiang Huang, Jacob Devlin +4
cs.CL2018
Universal Neural Machine Translation for Extremely Low Resource Languages
Jiatao Gu, Hany Hassan, Jacob Devlin +1
cs.CL2016
Generating Natural Questions About an Image
Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin +3
cs.CL2019
Synthetic QA Corpora Generation with Roundtrip Consistency
Chris Alberti, Daniel Andor, Emily Pitler +2