Lei Yu

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 23

Top Topics

Dirichlet Prior

Machine Translation

Variational Inference

Top Venues

Publications

Clara Meister, Wojciech Stokowiec, Tiago Pimentel, Lei Yu, Laura Rimell, Adhiguna Kuncoro
A Natural Bias for Language Generation Models. ACL (2) (2023)
Wang Ling, Wojciech Stokowiec, Domenic Donato, Chris Dyer, Lei Yu, Laurent Sartran, Austin Matthews
Enabling Arbitrary Translation Objectives with Adaptive Tree Search. ICLR (2022)
Wang Ling, Wojciech Stokowiec, Domenic Donato, Laurent Sartran, Lei Yu, Austin Matthews, Chris Dyer
Enabling arbitrary translation objectives with Adaptive Tree Search. CoRR (2022)
Domenic Donato, Lei Yu, Wang Ling, Chris Dyer
MAD for Robust Reinforcement Learning in Machine Translation. CoRR (2022)
Clara Meister, Wojciech Stokowiec, Tiago Pimentel, Lei Yu, Laura Rimell, Adhiguna Kuncoro
A Natural Bias for Language Generation Models. CoRR (2022)
Domenic Donato, Lei Yu, Chris Dyer
Diverse Pretrained Context Encodings Improve Document Translation. ACL/IJCNLP (1) (2021)
Domenic Donato, Lei Yu, Chris Dyer
Diverse Pretrained Context Encodings Improve Document Translation. CoRR (2021)
Lei Yu, Laurent Sartran, Po-Sen Huang, Wojciech Stokowiec, Domenic Donato, Srivatsan Srinivasan, Alek Andreev, Wang Ling, Sona Mokra, Agustin Dal Lago, Yotam Doron, Susannah Young, Phil Blunsom, Chris Dyer
The DeepMind Chinese-English Document Translation System at WMT2020. WMT@EMNLP (2020)
Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer
Better Document-Level Machine Translation with Bayes' Rule. Trans. Assoc. Comput. Linguistics 8 (2020)
Lingpeng Kong, Cyprien de Masson d'Autume, Lei Yu, Wang Ling, Zihang Dai, Dani Yogatama
A Mutual Information Maximization Perspective of Language Representation Learning. ICLR (2020)
Lingpeng Kong, Gábor Melis, Wang Ling, Lei Yu, Dani Yogatama
Variational Smoothing in Recurrent Neural Network Language Models. ICLR (Poster) (2019)
Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis
Unsupervised Recurrent Neural Network Grammars. CoRR (2019)
Lingpeng Kong, Gábor Melis, Wang Ling, Lei Yu, Dani Yogatama
Variational Smoothing in Recurrent Neural Network Language Models. CoRR (2019)
Dani Yogatama, Cyprien de Masson d'Autume, Jerome T. Connor, Tomás Kociský, Mike Chrzanowski, Lingpeng Kong, Angeliki Lazaridou, Wang Ling, Lei Yu, Chris Dyer, Phil Blunsom
Learning and Evaluating General Linguistic Intelligence. CoRR (2019)
Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis
Unsupervised Recurrent Neural Network Grammars. NAACL-HLT (1) (2019)
Lingpeng Kong, Cyprien de Masson d'Autume, Wang Ling, Lei Yu, Zihang Dai, Dani Yogatama
A Mutual Information Maximization Perspective of Language Representation Learning. CoRR (2019)
Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer
Putting Machine Translation in Context with the Noisy Channel Model. CoRR (2019)
Lei Yu, Cyprien de Masson d'Autume, Chris Dyer, Phil Blunsom, Lingpeng Kong, Wang Ling
Sentence Encoding with Tree-constrained Relation Networks. CoRR (2018)
Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, Tomás Kociský
The Neural Noisy Channel. ICLR (Poster) (2017)
Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, Tomás Kociský
The Neural Noisy Channel. CoRR (2016)
Yishu Miao, Lei Yu, Phil Blunsom
Neural Variational Inference for Text Processing. ICML (2016)
Lei Yu, Jan Buys, Phil Blunsom
Online Segment to Segment Neural Transduction. EMNLP (2016)
Lei Yu, Jan Buys, Phil Blunsom
Online Segment to Segment Neural Transduction. CoRR (2016)
Yishu Miao, Lei Yu, Phil Blunsom
Neural Variational Inference for Text Processing. CoRR (2015)
Lei Yu, Karl Moritz Hermann, Phil Blunsom, Stephen Pulman
Deep Learning for Answer Sentence Selection. CoRR (2014)