| Transformers are RNNs: Fast autoregressive transformers with linear attention A Katharopoulos, A Vyas, N Pappas, F Fleuret Thirty-seventh International Conference on Machine Learning (ICML), 2020 | 1912 | 2020 |
| Random feature attention H Peng, N Pappas, D Yogatama, R Schwartz, NA Smith, L Kong International Conference on Learning Representations (ICLR), 2021 | 385 | 2021 |
| Document-level neural machine translation with hierarchical attention networks L Miculicich, D Ram, N Pappas, J Henderson Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018 | 315 | 2018 |
| Deep encoder, shallow decoder: Reevaluating non-autoregressive machine translation J Kasai, N Pappas, H Peng, J Cross, NA Smith International Conference on Learning Representations (ICLR), 2021 | 181 | 2021 |
| Visual affect around the world: A large-scale multilingual visual sentiment ontology B Jou, T Chen, N Pappas, M Redi, M Topkara, SF Chang 23rd ACM International Conference on Multimedia (MM), 159-168, 2015 | 161 | 2015 |
| Multilingual hierarchical attention networks for document classification N Pappas, A Popescu-Belis 8th International Joint Conference on Natural Language Processing (IJCNLP), 2017 | 150 | 2017 |
| Sentiment analysis of user comments for one-class collaborative filtering over TED talks N Pappas, A Popescu-Belis 36th International ACM SIGIR Conference on Research and Development in …, 2013 | 119 | 2013 |
| GILE: A generalized input-label embedding for text classification N Pappas, J Henderson Transactions of the Association for Computational Linguistics (TACL) 7, 139-155, 2019 | 92 | 2019 |
| Explaining the stars: Weighted multiple-instance learning for aspect-based sentiment analysis N Pappas, A Popescu-Belis Conference on Empirical Methods In Natural Language Processing (EMNLP), 455-466, 2014 | 85 | 2014 |
| Explicit document modeling through weighted multiple-instance learning N Pappas, A Popescu-Belis Journal of Artificial Intelligence Research (JAIR) 58, 591-626, 2017 | 68 | 2017 |
| Finetuning pretrained transformers into RNNs J Kasai, H Peng, Y Zhang, D Yogatama, G Ilharco, N Pappas, Y Mao, ... Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021 | 56 | 2021 |
| Integrating weakly supervised word sense disambiguation into neural machine translation X Pu, N Pappas, J Henderson, A Popescu-Belis Transactions of the Association for Computational Linguistics (TACL) 6, 635-649, 2018 | 44 | 2018 |
| Combining content with user preferences for TED lecture recommendation N Pappas, A Popescu-Belis 11th International Workshop on Content Based Multimedia Indexing (CBMI), 2013 | 44 | 2013 |
| DEAL: Decoding-time alignment for large language models JY Huang, S Sengupta, D Bonadiman, Y Lai, A Gupta, N Pappas, ... arXiv preprint arXiv:2402.06147, 2024 | 35 | 2024 |
| Plug and play autoencoders for conditional text generation F Mai, N Pappas, I Montero, NA Smith, J Henderson Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 | 35 | 2020 |
| Adaptive sentiment-aware one-class collaborative filtering N Pappas, A Popescu-Belis Expert Systems with Applications (ESWA), 2015 | 34 | 2015 |
| Sentence bottleneck autoencoders from transformer language models I Montero, N Pappas, NA Smith Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021 | 33 | 2021 |
| Distinguishing the popularity between topics: A system for up-to-date opinion retrieval and mining in the web N Pappas, G Katsimpras, E Stamatatos 14th International Conference on Intelligent Text Processing and …, 2013 | 32 | 2013 |
| Self-attentive residual decoder for neural machine translation LM Werlen, N Pappas, D Ram, A Popescu-Belis Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 27 | 2018 |
| Combining content with user preferences for non-fiction multimedia recommendation: A study on TED lectures N Pappas, A Popescu-Belis Multimedia Tools and Applications (MTAP), 2015 | 26 | 2015 |
Andrei Popescu-BelisProfessor at HEIG-VD (HES-SO) - Senior Scientist at EPFL確認したメール アドレス: heig-vd.ch