| ESPnet: End-to-end speech processing toolkit S Watanabe, T Hori, S Karita, T Hayashi, J Nishitoba, Y Unno, NEY Soplin, ... arXiv preprint arXiv:1804.00015, 2018 | 1548 | 2018 |
| Social Network User Interface DD Seligmann, AJ Singh, S Kelkar, A Renduchintala US Patent App. 12/570,618, 2011 | 310 | 2011 |
| Human-level play in the game of Diplomacy by combining language models with strategic reasoning Meta Fundamental AI Research Diplomacy Team (FAIR)†, A Bakhtin, ... Science 378 (6624), 1067-1074, 2022 | 183 | 2022 |
| Multi-modal data augmentation for end-to-end ASR A Renduchintala, S Ding, M Wiesner, S Watanabe arXiv preprint arXiv:1803.10299, 2018 | 69 | 2018 |
| A call for prudent choice of subword merge operations in neural machine translation S Ding, A Renduchintala, K Duh arXiv preprint arXiv:1905.10453, 2019 | 68 | 2019 |
| An algerian arabic-french code-switched corpus R Cotterell, A Renduchintala, N Saphra, C Callison-Burch Workshop on free/open-source arabic corpora and corpora processing tools …, 2014 | 67 | 2014 |
| Gender bias amplification during speed-quality optimization in neural machine translation A Renduchintala, D Diaz, K Heafield, X Li, M Diab arXiv preprint arXiv:2106.00169, 2021 | 42 | 2021 |
| Adapting high-resource NMT models to translate low-resource related languages without parallel data WJ Ko, A El-Kishky, A Renduchintala, V Chaudhary, N Goyal, F Guzmán, ... arXiv preprint arXiv:2105.15071, 2021 | 30 | 2021 |
| Investigating failures of automatic translation in the case of unambiguous gender A Renduchintala, A Williams arXiv preprint arXiv:2104.07838, 2021 | 29 | 2021 |
| Quality estimation without human-labeled data YL Tuan, A El-Kishky, A Renduchintala, V Chaudhary, F Guzmán, ... arXiv preprint arXiv:2102.04020, 2021 | 28 | 2021 |
| Multilingual neural machine translation with deep encoder and multiple shallow decoders X Kong, A Renduchintala, J Cross, Y Tang, J Gu, X Li Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 25 | 2021 |
| Tied-lora: Enhacing parameter efficiency of lora with weight tying A Renduchintala, T Konuk, O Kuchaiev arXiv preprint arXiv:2311.09578, 2023 | 17 | 2023 |
| Towards understanding the behaviors of optimal deep active learning algorithms Y Zhou, A Renduchintala, X Li, S Wang, Y Mehdad, A Ghoshal International Conference on Artificial Intelligence and Statistics, 1486-1494, 2021 | 13 | 2021 |
| Pretraining by backtranslation for end-to-end asr in low-resource settings M Wiesner, A Renduchintala, S Watanabe, C Liu, N Dehak, S Khudanpur arXiv preprint arXiv:1812.03919, 2018 | 12 | 2018 |
| Creating interactive macaronic interfaces for language learning A Renduchintala, R Knowles, P Koehn, J Eisner 54th Annual Meeting of the Association for Computational Linguistics—System …, 2016 | 12 | 2016 |
| XLEnt: Mining a large cross-lingual entity dataset with lexical-semantic-phonetic word alignment A El-Kishky, A Renduchintala, J Cross, F Guzmán, P Koehn arXiv preprint arXiv:2104.08597, 2021 | 10 | 2021 |
| Analyzing learner understanding of novel L2 vocabulary R Knowles, A Renduchintala, P Koehn, J Eisner 20th SIGNLL Conference on Computational Natural Language Learning, 126-135, 2016 | 9 | 2016 |
| Teaching system and method A Renduchintala, JA Marmorstein, G Keim, A Huber US Patent App. 12/412,472, 2010 | 8 | 2010 |
| Character-aware decoder for neural machine translation A Renduchintala, P Shapiro, K Duh, P Koehn arXiv preprint arXiv:1809.02223, 2018 | 7 | 2018 |
| User modeling in language learning with macaronic texts A Renduchintala, R Knowles, P Koehn, J Eisner 54th Annual Meeting of the Association for Computational Linguistics, 1859-1869, 2016 | 7 | 2016 |
