Dzmitry Bahdanau
Dzmitry Bahdanau
Element AI
Verified email at - Homepage
Cited by
Cited by
Neural machine translation by jointly learning to align and translate
D Bahdanau, K Cho, Y Bengio
arXiv preprint arXiv:1409.0473, 2014
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
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
Attention-based models for speech recognition
J Chorowski, D Bahdanau, D Serdyuk, K Cho, Y Bengio
arXiv preprint arXiv:1506.07503, 2015
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
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv e-prints, arXiv: 1605.02688, 2016
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
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
Blocks and fuel: Frameworks for deep learning
B Van MerriŽnboer, D Bahdanau, V Dumoulin, D Serdyuk, ...
arXiv preprint arXiv:1506.00619, 2015
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
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
International Conference on Machine Learning, 1645-1654, 2017
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
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
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
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
Learning phrase representations using RNN encoder-decoder for statistical machine translation. In Empirical Methods in Natural Language Processing
K Cho, B Van Merrienboer, C Gulcehre, D Bahdanau, F Bougares, ...
Doha, Qatar, 2014
Task loss estimation for sequence prediction
D Bahdanau, D Serdyuk, P Brakel, NR Ke, J Chorowski, A Courville, ...
arXiv preprint arXiv:1511.06456, 2015
Towards ecologically valid research on language user interfaces
H De Vries, D Bahdanau, C Manning
arXiv preprint arXiv:2007.14435, 2020
Closure: Assessing systematic generalization of clevr models
D Bahdanau, H de Vries, TJ O'Donnell, S Murty, P Beaudoin, Y Bengio, ...
arXiv preprint arXiv:1912.05783, 2019
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
The system can't perform the operation now. Try again later.
Articles 1–20