| Attention-based models for speech recognition J Chorowski, D Bahdanau, D Serdyuk, K Cho, Y Bengio Advances in Neural Information Processing Systems 28, 2015 | 3299 | 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 | 1512 | 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 | 1147* | 2016 |
| Deep complex networks C Trabelsi, O Bilaniuk, Y Zhang, D Serdyuk, S Subramanian, JF Santos, ... 6th International Conference on Learning Representations, {ICLR} 2018, 2017 | 1008 | 2017 |
| Towards end-to-end spoken language understanding D Serdyuk, Y Wang, C Fuegen, A Kumar, B Liu, Y Bengio 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 269 | 2018 |
| Blocks and fuel: Frameworks for deep learning B Van Merriënboer, D Bahdanau, V Dumoulin, D Serdyuk, ... arXiv preprint arXiv:1506.00619, 2015 | 206 | 2015 |
| Accounting for variance in machine learning benchmarks X Bouthillier, P Delaunay, M Bronzi, A Trofimov, B Nichyporuk, J Szeto, ... Proceedings of Machine Learning and Systems 3, 747-769, 2021 | 157 | 2021 |
| Invariant representations for noisy speech recognition D Serdyuk, K Audhkhasi, P Brakel, B Ramabhadran, S Thomas, Y Bengio arXiv preprint arXiv:1612.01928, 2016 | 81 | 2016 |
| Twin networks: Matching the future for sequence generation D Serdyuk, NR Ke, A Sordoni, A Trischler, C Pal, Y Bengio 6th International Conference on Learning Representations, {ICLR} 2018, 2017 | 76* | 2017 |
| Fortified networks: Improving the robustness of deep networks by modeling the manifold of hidden representations A Lamb, J Binas, A Goyal, D Serdyuk, S Subramanian, I Mitliagkas, ... arXiv preprint arXiv:1804.02485, 2018 | 63 | 2018 |
| Unsupervised adversarial domain adaptation for acoustic scene classification S Gharib, K Drossos, E Cakir, D Serdyuk, T Virtanen arXiv preprint arXiv:1808.05777, 2018 | 57 | 2018 |
| Theano: A Python framework for fast computation of mathematical expressions. arXiv R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv preprint arXiv:1605.02688 10, 2016 | 51 | 2016 |
| Audio-Visual Speech Recognition is Worth Voxels D Serdyuk, O Braga, O Siohan 2021 IEEE automatic speech recognition and understanding workshop (ASRU …, 2021 | 50 | 2021 |
| Transformer-Based Video Front-Ends for Audio-Visual Speech Recognition for Single and Multi-Person Video D Serdyuk, O Braga, O Siohan Proc. 23rd Annual Conference of International Speech Communication …, 2022 | 41 | 2022 |
| Mad twinnet: Masker-denoiser architecture with twin networks for monaural sound source separation K Drossos, SI Mimilakis, D Serdyuk, G Schuller, T Virtanen, Y Bengio 2018 International Joint Conference on Neural Networks (IJCNN), 1-8, 2018 | 32 | 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 | 32 | 2015 |
| Conformer is All You Need for Visual Speech Recognition O Chang, H Liao, D Serdyuk, A Shahy, O Siohan ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 24 | 2024 |
| Deep complex networks T Chiheb, O Bilaniuk, D Serdyuk International Conference on Learning Representations, 2017 | 22 | 2017 |
| Twin regularization for online speech recognition M Ravanelli, D Serdyuk, Y Bengio Interspeech 2018, 2018 | 15 | 2018 |
| On robustness to missing video for audiovisual speech recognition O Chang, O Braga, H Liao, D Serdyuk, O Siohan arXiv preprint arXiv:2312.10088, 2023 | 7 | 2023 |
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
