| How NOT to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation CW Liu, R Lowe, IV Serban, M Noseworthy, L Charlin, J Pineau arXiv preprint arXiv:1603.08023, 2016 | 1517 | 2016 |
| Towards an automatic Turing test: Learning to evaluate dialogue responses R Lowe, M Noseworthy, IV Serban, N Angelard-Gontier, Y Bengio, ... arXiv preprint arXiv:1708.07149, 2017 | 418 | 2017 |
| On the evaluation of dialogue systems with next utterance classification R Lowe, IV Serban, M Noseworthy, L Charlin, J Pineau arXiv preprint arXiv:1605.05414, 2016 | 78 | 2016 |
| Active Learning of Abstract Plan Feasibility M Noseworthy, C Moses, I Brand, S Castro, L Kaelbling, T Lozano-Pérez, ... arXiv preprint arXiv:2107.00683, 2021 | 25 | 2021 |
| Task-Conditioned Variational Autoencoders for Learning Movement Primitives M Noseworthy, R Paul, S Roy, D Park, N Roy Conference on Robot Learning (CoRL), 2019 | 21 | 2019 |
| Inferring Task Goals and Constraints using Bayesian Nonparametric Inverse Reinforcement Learning D Park, M Noseworthy, R Paul, S Roy, N Roy Conference on Robot Learning, 1005-1014, 2020 | 11 | 2020 |
| Leveraging Past References for Robust Language Grounding S Roy, M Noseworthy, R Paul, D Park, N Roy Proceedings of the 23rd Conference on Computational Natural Language …, 2019 | 10 | 2019 |
| Predicting Success in Goal-Driven Human-Human Dialogues M Noseworthy, JCK Cheung, J Pineau Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue …, 2017 | 9 | 2017 |
| Visual Prediction of Priors for Articulated Object Interaction C Moses, M Noseworthy, LP Kaelbling, T Lozano-Pérez, N Roy 2020 IEEE International Conference on Robotics and Automation (ICRA), 10480 …, 2020 | 5 | 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 |
| Evaluation of Neural Dialogue Models in Large Domains M Noseworthy McGill University Libraries, 2018 | 1 | 2018 |
| Amortized Inference for Efficient Grasp Model Adaptation M Noseworthy, S Shaw, CC Kessens, N Roy | 1* | |
| Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes N Gothoskar, M Ghavami, E Li, A Curtis, M Noseworthy, K Chung, ... arXiv preprint arXiv:2312.08715, 2023 | | 2023 |
| Structured Latent Variable Models for Articulated Object Interaction E Liu, M Noseworthy, N Roy arXiv preprint arXiv:2305.16567, 2023 | | 2023 |
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; Mila在 cs.mcgill.ca 的电子邮件经过验证
