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Michael Noseworthy
Michael Noseworthy
Massachusetts Institute of Technology
Bestätigte E-Mail-Adresse bei mit.edu
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Zitiert von
Zitiert von
Jahr
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
16082016
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
4432017
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
792016
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
292021
Task-Conditioned Variational Autoencoders for Learning Movement Primitives
M Noseworthy, R Paul, S Roy, D Park, N Roy
Conference on Robot Learning (CoRL), 2019
292019
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
142020
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
132019
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
92017
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
62020
Forge: Force-guided exploration for robust contact-rich manipulation under uncertainty
M Noseworthy, B Tang, B Wen, A Handa, C Kessens, N Roy, D Fox, ...
IEEE Robotics and Automation Letters, 2025
52025
Amortized Inference for Efficient Grasp Model Adaptation
M Noseworthy, S Shaw, CC Kessens, N Roy
2024 IEEE International Conference on Robotics and Automation (ICRA), 1886-1892, 2024
22024
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
22023
The RLLChatbot: a solution to the ConvAI challenge
N Gontier, K Sinha, P Henderson, I Serban, M Noseworthy, ...
arXiv preprint arXiv:1811.02714, 2018
12018
Evaluation of Neural Dialogue Models in Large Domains
M Noseworthy
McGill University Libraries, 2018
12018
Flow-based Domain Randomization for Learning and Sequencing Robotic Skills
A Curtis, E Li, M Noseworthy, N Gothoskar, S Chitta, H Li, LP Kaelbling, ...
arXiv preprint arXiv:2502.01800, 2025
2025
Semi-Supervised Neural Processes for Articulated Object Interactions
E Liu, M Noseworthy, N Roy
arXiv preprint arXiv:2412.00145, 2024
2024
Structured Latent Variable Models for Articulated Object Interaction
E Liu, M Noseworthy, N Roy
arXiv preprint arXiv:2305.16567, 2023
2023
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