Dzmitry Bahdanau
Dzmitry Bahdanau
Bestätigte E-Mail-Adresse bei iro.umontreal.ca - Startseite
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Neural machine translation by jointly learning to align and translate
D Bahdanau, K Cho, Y Bengio
arXiv preprint arXiv:1409.0473, 2014
97942014
Learning phrase representations using RNN encoder-decoder for statistical machine translation
K Cho, B Van Merriënboer, C Gulcehre, D Bahdanau, F Bougares, ...
arXiv preprint arXiv:1406.1078, 2014
73252014
On the properties of neural machine translation: Encoder-decoder approaches
K Cho, B Van Merriënboer, D Bahdanau, Y Bengio
arXiv preprint arXiv:1409.1259, 2014
21672014
Attention-based models for speech recognition
JK Chorowski, D Bahdanau, D Serdyuk, K Cho, Y Bengio
Advances in neural information processing systems, 577-585, 2015
9522015
End-to-end attention-based large vocabulary speech recognition
D Bahdanau, J Chorowski, D Serdyuk, P Brakel, Y Bengio
2016 IEEE international conference on acoustics, speech and signal …, 2016
5792016
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688, 2016
5602016
An actor-critic algorithm for sequence prediction
D Bahdanau, P Brakel, K Xu, A Goyal, R Lowe, J Pineau, A Courville, ...
arXiv preprint arXiv:1607.07086, 2016
2632016
End-to-end continuous speech recognition using attention-based recurrent nn: First results
J Chorowski, D Bahdanau, K Cho, Y Bengio
arXiv preprint arXiv:1412.1602, 2014
2352014
Blocks and fuel: Frameworks for deep learning
B Van Merriënboer, D Bahdanau, V Dumoulin, D Serdyuk, ...
arXiv preprint arXiv:1506.00619, 2015
1532015
Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv: 1409.0473
D Bahdanau, K Cho
702014
Sequence tutor: Conservative fine-tuning of sequence generation models with kl-control
N Jaques, S Gu, D Bahdanau, JM Hernández-Lobato, RE Turner, D Eck
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
482017
Overcoming the curse of sentence length for neural machine translation using automatic segmentation
J Pouget-Abadie, D Bahdanau, B Van Merrienboer, K Cho, Y Bengio
arXiv preprint arXiv:1409.1257, 2014
342014
Learning to compute word embeddings on the fly
D Bahdanau, T Bosc, S Jastrzębski, E Grefenstette, P Vincent, Y Bengio
arXiv preprint arXiv:1706.00286, 2017
302017
Learning to understand goal specifications by modelling reward
D Bahdanau, F Hill, J Leike, E Hughes, A Hosseini, P Kohli, ...
arXiv preprint arXiv:1806.01946, 2018
24*2018
BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop
M Chevalier-Boisvert, D Bahdanau, S Lahlou, L Willems, C Saharia, ...
arXiv preprint arXiv:1810.08272, 2018
23*2018
Task loss estimation for sequence prediction
D Bahdanau, D Serdyuk, P Brakel, NR Ke, J Chorowski, A Courville, ...
arXiv preprint arXiv:1511.06456, 2015
232015
Systematic Generalization: What Is Required and Can It Be Learned?
D Bahdanau, S Murty, M Noukhovitch, TH Nguyen, H de Vries, A Courville
arXiv preprint arXiv:1811.12889, 2018
132018
Commonsense mining as knowledge base completion? A study on the impact of novelty
S Jastrzębski, D Bahdanau, S Hosseini, M Noukhovitch, Y Bengio, ...
arXiv preprint arXiv:1804.09259, 2018
62018
Smart decisions by small adjustments: iterating denoising autoencoders
D Bahdanau, H Jaeger
IRC-Library, Information Resource Center der Jacobs University Bremen, 2014
22014
Automated curriculum generation for Policy Gradients from Demonstrations
A Srinivasan, D Bahdanau, M Chevalier-Boisvert, Y Bengio
arXiv preprint arXiv:1912.00444, 2019
2019
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