Ankur Bapna

According to our database1, Ankur Bapna authored at least 24 papers between 2017 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
Controlling Computation versus Quality for Neural Sequence Models.
CoRR, 2020

Faster Transformer Decoding: N-gram Masked Self-Attention.
CoRR, 2020

Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Fill in the Blanks: Imputing Missing Sentences for Larger-Context Neural Machine Translation.
CoRR, 2019

Simple, Scalable Adaptation for Neural Machine Translation.
CoRR, 2019

Investigating Multilingual NMT Representations at Scale.
CoRR, 2019

Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation.
CoRR, 2019

Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges.
CoRR, 2019

The Missing Ingredient in Zero-Shot Neural Machine Translation.
CoRR, 2019

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.
CoRR, 2019

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Non-Parametric Adaptation for Neural Machine Translation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Large-Scale Multilingual Speech Recognition with a Streaming End-to-End Model.
Proceedings of the Interspeech 2019, 2019

Investigating Multilingual NMT Representations at Scale.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Simple, Scalable Adaptation for Neural Machine Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation.
CoRR, 2018

Building a Conversational Agent Overnight with Dialogue Self-Play.
CoRR, 2018

Revisiting Character-Based Neural Machine Translation with Capacity and Compression.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Training Deeper Neural Machine Translation Models with Transparent Attention.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Improving Frame Semantic Parsing with Hierarchical Dialogue Encoders.
CoRR, 2017

Sequential Dialogue Context Modeling for Spoken Language Understanding.
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 2017

Towards Zero-Shot Frame Semantic Parsing for Domain Scaling.
Proceedings of the Interspeech 2017, 2017


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