| BanditSum: Extractive Summarization as a Contextual Bandit Y Dong, Y Shen, E Crawford, H van Hoof, JCK Cheung arXiv preprint arXiv:1809.09672, 2018 | 236 | 2018 |
| Spatially invariant unsupervised object detection with convolutional neural networks E Crawford, J Pineau Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3412-3420, 2019 | 199 | 2019 |
| Biologically Plausible, HumanScale Knowledge Representation E Crawford, M Gingerich, C Eliasmith Cognitive science 40 (4), 782-821, 2016 | 76 | 2016 |
| Exploiting spatial invariance for scalable unsupervised object tracking E Crawford, J Pineau Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3684-3692, 2020 | 64 | 2020 |
| Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning S Venkattaramanujam, E Crawford, T Doan, D Precup arXiv preprint arXiv:1907.02998, 2019 | 34 | 2019 |
| Learning large-scale heteroassociative memories in spiking neurons AR Voelker, E Crawford, C Eliasmith Unconventional Computation and Natural Computation 7, 2014, 2014 | 34 | 2014 |
| Modeling interactions between speech production and perception: speech error detection at semantic and phonological levels and the inner speech loop BJ Kröger, E Crawford, T Bekolay, C Eliasmith Frontiers in computational neuroscience 10, 51, 2016 | 25 | 2016 |
| Learning 3D Object-Oriented World Models from Unlabeled Videos E Crawford, J Pineau Workshop on Object-Oriented Learning at ICML, 2020 | 6 | 2020 |
| Sequential Coordination of Deep Models for Learning Visual Arithmetic E Crawford, G Rabusseau, J Pineau arXiv preprint arXiv:1809.04988, 2018 | | 2018 |
| Spatially Invariant, Label-free Object Tracking E Crawford, J Pineau | | |
| Spatially Invariant Attend, Infer, Repeat E Crawford, J Pineau | | |
Joelle PineauSchool of Computer Science, McGill University; FAIR, Meta AI; Mila在 cs.mcgill.ca 的电子邮件经过验证
