Dzmitry Bahdanau

According to our database1, Dzmitry Bahdanau authored at least 20 papers between 2014 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop.
CoRR, 2018

Learning to Follow Language Instructions with Adversarial Reward Induction.
CoRR, 2018

Commonsense mining as knowledge base completion? A study on the impact of novelty.
CoRR, 2018

2017
Learning to Compute Word Embeddings On the Fly.
CoRR, 2017

Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control.
Proceedings of the 34th International Conference on Machine Learning, 2017

2016
An Actor-Critic Algorithm for Sequence Prediction.
CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

End-to-end attention-based large vocabulary speech recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Blocks and Fuel: Frameworks for deep learning.
CoRR, 2015

Attention-Based Models for Speech Recognition.
CoRR, 2015

Task Loss Estimation for Sequence Prediction.
CoRR, 2015

End-to-End Attention-based Large Vocabulary Speech Recognition.
CoRR, 2015

Attention-Based Models for Speech Recognition.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation.
CoRR, 2014

End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results.
CoRR, 2014

On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.
CoRR, 2014

Neural Machine Translation by Jointly Learning to Align and Translate.
CoRR, 2014

Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation.
Proceedings of SSST@EMNLP 2014, 2014

On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.
Proceedings of SSST@EMNLP 2014, 2014

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014


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