Dzmitry Bahdanau
TitleCited byYear
Neural machine translation by jointly learning to align and translate
D Bahdanau, K Cho, Y Bengio
arXiv preprint arXiv:1409.0473, 2014
54132014
Learning phrase representations using RNN encoder-decoder for statistical machine translation
K Cho, B Van MerriŽnboer, C Gulcehre, D Bahdanau, F Bougares, ...
arXiv preprint arXiv:1406.1078, 2014
39502014
On the properties of neural machine translation: Encoder-decoder approaches
K Cho, B Van MerriŽnboer, D Bahdanau, Y Bengio
arXiv preprint arXiv:1409.1259, 2014
13132014
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
5042015
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, 2016
368*2016
End-to-end attention-based large vocabulary speech recognition
D Bahdanau, J Chorowski, D Serdyuk, P Brakel, Y Bengio
Acoustics, Speech and Signal Processing (ICASSP), 2016 IEEE International†…, 2016
3412016
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
1662014
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
1552016
Blocks and fuel: Frameworks for deep learning
B Van MerriŽnboer, D Bahdanau, V Dumoulin, D Serdyuk, ...
arXiv preprint arXiv:1506.00619, 2015
1352015
Sequence tutor: Conservative fine-tuning of sequence generation models with kl-control
N Jaques, S Gu, D Bahdanau, JM HernŠndez-Lobato, RE Turner, D Eck
arXiv preprint arXiv:1611.02796, 2016
242016
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
202014
Task loss estimation for sequence prediction
D Bahdanau, D Serdyuk, P Brakel, NR Ke, J Chorowski, A Courville, ...
arXiv preprint arXiv:1511.06456, 2015
192015
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
152017
Learning to Understand Goal Specifications by Modelling Reward
D Bahdanau, F Hill, J Leike, E Hughes, P Kohli, E Grefenstette
6*2018
Smart decisions by small adjustments: iterating denoising autoencoders
D Bahdanau, H Jaeger
IRC-Library, Information Resource Center der Jacobs University Bremen, 2014
22014
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
12018
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
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
2018
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Articles 1–18