Eric Crawford
Cited by
Cited by
BanditSum: Extractive Summarization as a Contextual Bandit
Y Dong, Y Shen, E Crawford, H van Hoof, JCK Cheung
arXiv preprint arXiv:1809.09672, 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
Biologically Plausible, Human‐Scale Knowledge Representation
E Crawford, M Gingerich, C Eliasmith
Cognitive science 40 (4), 782-821, 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
Learning large-scale heteroassociative memories in spiking neurons
AR Voelker, E Crawford, C Eliasmith
Unconventional Computation and Natural Computation 7, 2014, 2014
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
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
Learning 3D Object-Oriented World Models from Unlabeled Videos
E Crawford, J Pineau
Workshop on Object-Oriented Learning at ICML, 2020
Sequential Coordination of Deep Models for Learning Visual Arithmetic
E Crawford, G Rabusseau, J Pineau
arXiv preprint arXiv:1809.04988, 2018
Spatially Invariant, Label-free Object Tracking
E Crawford, J Pineau
Spatially Invariant Attend, Infer, Repeat
E Crawford, J Pineau
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