Chris Dyer

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 186

Top Venues

CoRR

EMNLP

ACL (1)

HLT-NAACL

Publications

Thea Sommerschield, Yannis M. Assael, John Pavlopoulos, Vanessa Stefanak, Andrew W. Senior, Chris Dyer, John Bodel, Jonathan Prag, Ion Androutsopoulos, Nando de Freitas
Machine Learning for Ancient Languages: A Survey. Comput. Linguistics 49 (3) (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)
Sander Dieleman, Laurent Sartran, Arman Roshannai, Nikolay Savinov, Yaroslav Ganin, Pierre H. Richemond, Arnaud Doucet, Robin Strudel, Chris Dyer, Conor Durkan, Curtis Hawthorne, Rémi Leblond, Will Grathwohl, Jonas Adler
Continuous diffusion for categorical data. CoRR (2022)
Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings. ICLR (2022)
Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, Milos Stanojevic, Phil Blunsom, Chris Dyer
Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale. Trans. Assoc. Comput. Linguistics 10 (2022)
Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, Milos Stanojevic, Phil Blunsom, Chris Dyer
Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale. CoRR (2022)
Devendra Singh Sachan, Siva Reddy, William L. Hamilton, Chris Dyer, Dani Yogatama
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering. CoRR (2021)
Domenic Donato, Lei Yu, Chris Dyer
Diverse Pretrained Context Encodings Improve Document Translation. ACL/IJCNLP (1) (2021)
Devendra Singh Sachan, Siva Reddy, William L. Hamilton, Chris Dyer, Dani Yogatama
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering. NeurIPS (2021)
Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William S. Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving
Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR (2021)
Domenic Donato, Lei Yu, Chris Dyer
Diverse Pretrained Context Encodings Improve Document Translation. CoRR (2021)
Roma Patel, Marta Garnelo, Ian M. Gemp, Chris Dyer, Yoram Bachrach
Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index. NAACL-HLT (2021)
Srivatsan Srinivasan, Chris Dyer
Better Chinese Sentence Segmentation with Reinforcement Learning. ACL/IJCNLP (Findings) (2021)
Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis-Hastings. 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)
Rahul Radhakrishnan Iyer, Miguel Ballesteros, Chris Dyer, Robert E. Frederking
Transition-Based Dependency Parsing using Perceptron Learner. CoRR (2020)
Jonathan H. Clark, Alon Lavie, Chris Dyer
One System, Many Domains: Open-Domain Statistical Machine Translation via Feature Augmentation. AMTA (2020)
Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh
Learning to Segment Actions from Observation and Narration. CoRR (2020)
Kartik Goyal, Chris Dyer, Christopher Warren, Max G'Sell, Taylor Berg-Kirkpatrick
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing. CoRR (2020)
Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom
Syntactic Structure Distillation Pretraining for Bidirectional Encoders. Trans. Assoc. Comput. Linguistics 8 (2020)
Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord
Learning Robust and Multilingual Speech Representations. EMNLP (Findings) (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)
Kartik Goyal, Chris Dyer, Christopher Warren, Max G'Sell, Taylor Berg-Kirkpatrick
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing. ACL (2020)
Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord
Learning Robust and Multilingual Speech Representations. CoRR (2020)
Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh
Learning to Segment Actions from Observation and Narration. ACL (2020)
Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom
Syntactic Structure Distillation Pretraining For Bidirectional Encoders. CoRR (2020)
Yoon Kim, Alexander M. Rush, Lei Yu, Adhiguna Kuncoro, Chris Dyer, Gábor Melis
Unsupervised Recurrent Neural Network Grammars. CoRR (2019)
Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. EMNLP/IJCNLP (1) (2019)
Po-Sen Huang, Robert Stanforth, Johannes Welbl, Chris Dyer, Dani Yogatama, Sven Gowal, Krishnamurthy Dvijotham, Pushmeet Kohli
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation. CoRR (2019)
Yoon Kim, Chris Dyer, Alexander M. Rush
Compound Probabilistic Context-Free Grammars for Grammar Induction. ACL (1) (2019)
Swabha Swayamdipta, Matthew E. Peters, Brendan Roof, Chris Dyer, Noah A. Smith
Shallow Syntax in Deep Water. CoRR (2019)
Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search. NAACL-HLT (1) (2019)
Chris Dyer, Gábor Melis, Phil Blunsom
A Critical Analysis of Biased Parsers in Unsupervised Parsing. CoRR (2019)
Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search. CoRR (2019)
Yoon Kim, Chris Dyer, Alexander M. Rush
Compound Probabilistic Context-Free Grammars for Grammar Induction. CoRR (2019)
Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom
Scalable Syntax-Aware Language Models Using Knowledge Distillation. CoRR (2019)
Austin Matthews, Graham Neubig, Chris Dyer
Comparing Top-Down and Bottom-Up Neural Generative Dependency Models. CoNLL (2019)
Kazuya Kawakami, Chris Dyer, Phil Blunsom
Learning to Discover, Ground and Use Words with Segmental Neural Language Models. ACL (1) (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)
Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom
Scalable Syntax-Aware Language Models Using Knowledge Distillation. ACL (1) (2019)
John B. Hale, Adhiguna Kuncoro, Keith Hall, Chris Dyer, Jonathan Brennan
Text Genre and Training Data Size in Human-like Parsing. EMNLP/IJCNLP (1) (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)
John Hale, Chris Dyer, Adhiguna Kuncoro, Jonathan R. Brennan
Finding Syntax in Human Encephalography with Beam Search. CoRR (2018)
Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith
Syntactic Scaffolds for Semantic Structures. EMNLP (2018)
Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick
Unsupervised Text Style Transfer using Language Models as Discriminators. NeurIPS (2018)
Avneesh Saluja, Chris Dyer, Jean-David Ruvini
Paraphrase-Supervised Models of Compositionality. CoRR (2018)
Dani Yogatama, Yishu Miao, Gábor Melis, Wang Ling, Adhiguna Kuncoro, Chris Dyer, Phil Blunsom
Memory Architectures in Recurrent Neural Network Language Models. ICLR (Poster) (2018)
Jack W. Rae, Chris Dyer, Peter Dayan, Timothy P. Lillicrap
Fast Parametric Learning with Activation Memorization. ICML (2018)
Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinícius Flores Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, Çaglar Gülçehre, H. Francis Song, Andrew J. Ballard, Justin Gilmer, George E. Dahl, Ashish Vaswani, Kelsey R. Allen, Charles Nash, Victoria Langston, Chris Dyer, Nicolas Heess, Daan Wierstra, Pushmeet Kohli, Matthew Botvinick, Oriol Vinyals, Yujia Li, Razvan Pascanu
Relational inductive biases, deep learning, and graph networks. CoRR (2018)
Gábor Melis, Chris Dyer, Phil Blunsom
On the State of the Art of Evaluation in Neural Language Models. ICLR (Poster) (2018)
Kazuya Kawakami, Chris Dyer, Phil Blunsom
Unsupervised Word Discovery with Segmental Neural Language Models. CoRR (2018)
Yujia Li, Oriol Vinyals, Chris Dyer, Razvan Pascanu, Peter W. Battaglia
Learning Deep Generative Models of Graphs. CoRR (2018)
Jack W. Rae, Chris Dyer, Peter Dayan, Timothy P. Lillicrap
Fast Parametric Learning with Activation Memorization. CoRR (2018)
Austin Matthews, Graham Neubig, Chris Dyer
Using Morphological Knowledge in Open-Vocabulary Neural Language Models. NAACL-HLT (2018)
Andrew Trask, Felix Hill, Scott E. Reed, Jack W. Rae, Chris Dyer, Phil Blunsom
Neural Arithmetic Logic Units. NeurIPS (2018)
Lei Yu, Cyprien de Masson d'Autume, Chris Dyer, Phil Blunsom, Lingpeng Kong, Wang Ling
Sentence Encoding with Tree-constrained Relation Networks. CoRR (2018)
Swabha Swayamdipta, Sam Thomson, Kenton Lee, Luke Zettlemoyer, Chris Dyer, Noah A. Smith
Syntactic Scaffolds for Semantic Structures. CoRR (2018)
Adhiguna Kuncoro, Chris Dyer, John Hale, Dani Yogatama, Stephen Clark, Phil Blunsom
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better. ACL (1) (2018)
John Hale, Chris Dyer, Adhiguna Kuncoro, Jonathan Brennan
Finding syntax in human encephalography with beam search. ACL (1) (2018)
Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick
A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models. AAAI (2018)
Andrew Trask, Felix Hill, Scott E. Reed, Jack W. Rae, Chris Dyer, Phil Blunsom
Neural Arithmetic Logic Units. CoRR (2018)
Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette
The NarrativeQA Reading Comprehension Challenge. Trans. Assoc. Comput. Linguistics 6 (2018)
Gábor Melis, Charles Blundell, Tomás Kociský, Karl Moritz Hermann, Chris Dyer, Phil Blunsom
Pushing the bounds of dropout. CoRR (2018)
Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick
Unsupervised Text Style Transfer using Language Models as Discriminators. CoRR (2018)
Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, Tomás Kociský
The Neural Noisy Channel. ICLR (Poster) (2017)
Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, Wang Ling
Learning to Compose Words into Sentences with Reinforcement Learning. ICLR (Poster) (2017)
Kazuya Kawakami, Chris Dyer, Phil Blunsom
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling. CoRR (2017)
Wang Ling, Dani Yogatama, Chris Dyer, Phil Blunsom
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems. CoRR (2017)
Pradeep Dasigi, Waleed Ammar, Chris Dyer, Eduard H. Hovy
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment. CoRR (2017)
Zichao Yang, Phil Blunsom, Chris Dyer, Wang Ling
Reference-Aware Language Models. EMNLP (2017)
Wang Ling, Dani Yogatama, Chris Dyer, Phil Blunsom
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems. ACL (1) (2017)
Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith
Multi-task Learning with CTC and Segmental CRF for Speech Recognition. CoRR (2017)
Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith
Multitask Learning with CTC and Segmental CRF for Speech Recognition. INTERSPEECH (2017)
Graham Neubig, Yoav Goldberg, Chris Dyer
On-the-fly Operation Batching in Dynamic Computation Graphs. NIPS (2017)
Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick
Differentiable Scheduled Sampling for Credit Assignment. CoRR (2017)
Phil Blunsom, Kyunghyun Cho, Chris Dyer, Hinrich Schütze
From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042). Dagstuhl Reports 7 (1) (2017)
Dani Yogatama, Chris Dyer, Wang Ling, Phil Blunsom
Generative and Discriminative Text Classification with Recurrent Neural Networks. CoRR (2017)
Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals
End-to-End Neural Segmental Models for Speech Recognition. IEEE J. Sel. Top. Signal Process. 11 (8) (2017)
Chris Dyer
Should Neural Network Architecture Reflect Linguistic Structure? CoNLL (2017)
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin
DyNet: The Dynamic Neural Network Toolkit. CoRR (2017)
Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette
The NarrativeQA Reading Comprehension Challenge. CoRR (2017)
Gábor Melis, Chris Dyer, Phil Blunsom
On the State of the Art of Evaluation in Neural Language Models. CoRR (2017)
Graham Neubig, Yoav Goldberg, Chris Dyer
On-the-fly Operation Batching in Dynamic Computation Graphs. CoRR (2017)
Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models. CoRR (2017)
Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith
What Do Recurrent Neural Network Grammars Learn About Syntax? EACL (1) (2017)
Hao Tang, Liang Lu, Lingpeng Kong, Kevin Gimpel, Karen Livescu, Chris Dyer, Noah A. Smith, Steve Renals
End-to-End Neural Segmental Models for Speech Recognition. CoRR (2017)
Kazuya Kawakami, Chris Dyer, Phil Blunsom
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling. ACL (1) (2017)
Zichao Yang, Zhiting Hu, Yuntian Deng, Chris Dyer, Alexander J. Smola
Neural Machine Translation with Recurrent Attention Modeling. EACL (2) (2017)
Miguel Ballesteros, Chris Dyer, Yoav Goldberg, Noah A. Smith
Greedy Transition-Based Dependency Parsing with Stack LSTMs. Comput. Linguistics 43 (2) (2017)
Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick
Differentiable Scheduled Sampling for Credit Assignment. ACL (2) (2017)
Pradeep Dasigi, Waleed Ammar, Chris Dyer, Eduard H. Hovy
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment. ACL (1) (2017)
Swabha Swayamdipta, Sam Thomson, Chris Dyer, Noah A. Smith
Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold. CoRR (2017)
Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann
Semantic Parsing with Semi-Supervised Sequential Autoencoders. CoRR (2016)
Waleed Ammar, George Mulcaire, Miguel Ballesteros, Chris Dyer, Noah A. Smith
Many Languages, One Parser. Trans. Assoc. Comput. Linguistics 4 (2016)
Qinlan Shen, Daniel Clothiaux, Emily Tagtow, Patrick Littell, Chris Dyer
The Role of Context in Neural Morphological Disambiguation. COLING (2016)
Kartik Goyal, Chris Dyer
Posterior regularization for Joint Modeling of Multiple Structured Prediction Tasks with Soft Constraints. SPNLP@EMNLP (2016)
Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong, Chris Dyer, Graham Neubig, Noah A. Smith
What Do Recurrent Neural Network Grammars Learn About Syntax? CoRR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chris Dyer