| Attention-based models for speech recognition JK Chorowski, D Bahdanau, D Serdyuk, K Cho, Y Bengio Advances in neural information processing systems 28, 2015 | 2983 | 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 | 1395 | 2016 |
| State-of-the-art speech recognition with sequence-to-sequence models CC Chiu, TN Sainath, Y Wu, R Prabhavalkar, P Nguyen, Z Chen, ... 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 1335 | 2018 |
| Regularizing neural networks by penalizing confident output distributions G Pereyra, G Tucker, J Chorowski, £ Kaiser, G Hinton arXiv preprint arXiv:1701.06548, 2017 | 1095 | 2017 |
| 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 | 1078* | 2016 |
| Robust 3d action recognition with random occupancy patterns J Wang, Z Liu, J Chorowski, Z Chen, Y Wu Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 596 | 2012 |
| 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 | 565 | 2014 |
| Towards better decoding and language model integration in sequence to sequence models J Chorowski, N Jaitly arXiv preprint arXiv:1612.02695, 2016 | 391 | 2016 |
| Sequence-to-sequence models can directly translate foreign speech RJ Weiss, J Chorowski, N Jaitly, Y Wu, Z Chen arXiv preprint arXiv:1703.08581, 2017 | 371 | 2017 |
| Unsupervised speech representation learning using wavenet autoencoders J Chorowski, RJ Weiss, S Bengio, A Van Den Oord IEEE/ACM transactions on audio, speech, and language processing 27 (12 …, 2019 | 357 | 2019 |
| Review and performance comparison of SVM-and ELM-based classifiers J Chorowski, J Wang, JM Zurada Neurocomputing 128, 507-516, 2014 | 213 | 2014 |
| Blocks and fuel: Frameworks for deep learning B Van Merriënboer, D Bahdanau, V Dumoulin, D Serdyuk, ... arXiv preprint arXiv:1506.00619, 2015 | 203 | 2015 |
| Lingvo: a modular and scalable framework for sequence-to-sequence modeling J Shen, P Nguyen, Y Wu, Z Chen, MX Chen, Y Jia, A Kannan, T Sainath, ... arXiv preprint arXiv:1902.08295, 2019 | 185 | 2019 |
| Learning understandable neural networks with nonnegative weight constraints J Chorowski, JM Zurada IEEE transactions on neural networks and learning systems 26 (1), 62-69, 2014 | 152 | 2014 |
| Extracting rules from neural networks as decision diagrams J Chorowski, JM Zurada IEEE Transactions on Neural Networks 22 (12), 2435-2446, 2011 | 61 | 2011 |
| Computer Vision–ECCV 2012 J Wang, Z Liu, J Chorowski, Z Chen, Y Wu Springer 7572, 442-455, 2012 | 52 | 2012 |
| Input switched affine networks: An RNN architecture designed for interpretability JN Foerster, J Gilmer, J Sohl-Dickstein, J Chorowski, D Sussillo International conference on machine learning, 1136-1145, 2017 | 45* | 2017 |
| Task loss estimation for sequence prediction D Bahdanau, D Serdyuk, P Brakel, NR Ke, J Chorowski, A Courville, ... arXiv preprint arXiv:1511.06456, 2015 | 33 | 2015 |
| Robust training of vector quantized bottleneck models A £añcucki, J Chorowski, G Sanchez, R Marxer, N Chen, HJGA Dolfing, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 25 | 2020 |
| A convolutional deep markov model for unsupervised speech representation learning S Khurana, A Laurent, WN Hsu, J Chorowski, A Lancucki, R Marxer, ... arXiv preprint arXiv:2006.02547, 2020 | 25 | 2020 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
