| Extending neural generative conversational model using external knowledge sources P Parthasarathi, J Pineau arXiv preprint arXiv:1809.05524, 2018 | 76 | 2018 |
| Learning an unreferenced metric for online dialogue evaluation K Sinha, P Parthasarathi, J Wang, R Lowe, WL Hamilton, J Pineau arXiv preprint arXiv:2005.00583, 2020 | 54 | 2020 |
| Unnatural language inference K Sinha, P Parthasarathi, J Pineau, A Williams arXiv preprint arXiv:2101.00010, 2020 | 48 | 2020 |
| a2t: Attend, adapt and transfer: Attentive deep architecture for adaptive transfer from multiple sources J Rajendran, A Lakshminarayanan, MM Khapra, P Prasanna, ... | 46* | 2017 |
| Neural assistant: Joint action prediction, response generation, and latent knowledge reasoning A Neelakantan, S Yavuz, S Narang, V Prasad, B Goodrich, D Duckworth, ... arXiv preprint arXiv:1910.14613, 2019 | 14 | 2019 |
| Adaapt: A deep architecture for adaptive policy transfer from multiple sources J Rajendran, P Prasanna, B Ravindran, MM Khapra arXiv preprint arXiv 1510, 2015 | 13 | 2015 |
| Local structure matters most: Perturbation study in NLU L Clouatre, P Parthasarathi, A Zouaq, S Chandar arXiv preprint arXiv:2107.13955, 2021 | 12* | 2021 |
| Maca: A modular architecture for conversational agents HP Truong, P Parthasarathi, J Pineau Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 93-102, 2017 | 10 | 2017 |
| Sometimes we want ungrammatical translations P Parthasarathi, K Sinha, J Pineau, A Williams Findings of the Association for Computational Linguistics: EMNLP 2021, 3205-3227, 2021 | 7* | 2021 |
| Do Encoder Representations of Generative Dialogue Models have sufficient summary of the Information about the task? P Parthasarathi, J Pineau, S Chandar Proceedings of the 22nd Annual Meeting of the Special Interest Group on …, 2021 | 3* | 2021 |
| Memory Augmented Optimizers for Deep Learning PA McRae, P Parthasarathi, M Assran, S Chandar arXiv preprint arXiv:2106.10708, 2021 | 1 | 2021 |
| A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss P Parthasarathi, M Abdelsalam, J Pineau, S Chandar arXiv preprint arXiv:2106.10619, 2021 | 1 | 2021 |
| On Task-Level Dialogue Composition of Generative Transformer Model P Parthasarathi, A Neelakantan, S Narang arXiv preprint arXiv:2010.04826, 2020 | 1 | 2020 |
| The RLLChatbot: a solution to the ConvAI challenge N Gontier, K Sinha, P Henderson, I Serban, M Noseworthy, ... arXiv preprint arXiv:1811.02714, 2018 | 1 | 2018 |
| Variational encoder decoder for image generation conditioned on captions J Romoff, N Angelard-Gontier, P Parthasarathi In Proceedings of the 33rd International Conference on Machine Learning, 2016 | 1 | 2016 |
| Proceedings of the Workshop on Novel Ideas in Learning-to-Learn through Interaction (NILLI 2022) P Parthasarathi, MA Côté Proceedings of the Workshop on Novel Ideas in Learning-to-Learn through …, 2022 | | 2022 |
| Deep Learning on a Healthy Data Diet: Finding Important Examples for Fairness A Zayed, P Parthasarathi, G Mordido, H Palangi, S Shabanian, S Chandar arXiv preprint arXiv:2211.11109, 2022 | | 2022 |
| Detecting Languages Unintelligible to Multilingual Models through Local Structure Probes L Clouâtre, P Parthasarathi, A Zouaq, S Chandar arXiv preprint arXiv:2211.05015, 2022 | | 2022 |
| Local Structure Matters Most in Most Languages L Clouâtre, P Parthasarathi, A Zouaq, S Chandar arXiv preprint arXiv:2211.05025, 2022 | | 2022 |
| Quantifying language understanding of neural language models P Parthasarathi | | 2022 |
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; MilaDirección de correo verificada de cs.mcgill.ca
