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2020 – today
- 2020
[c4]Eric Crawford, Joelle Pineau:
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking. AAAI 2020: 3684-3692
2010 – 2019
- 2019
- [c3]Eric Crawford, Joelle Pineau:
Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks. AAAI 2019: 3412-3420 - [i4]Srinivas Venkattaramanujam, Eric Crawford, Thang Doan, Doina Precup:
Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning. CoRR abs/1907.02998 (2019) - [i3]Eric Crawford, Joelle Pineau:
Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking. CoRR abs/1911.09033 (2019) - 2018
- [c2]Yue Dong
, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung:
BanditSum: Extractive Summarization as a Contextual Bandit. EMNLP 2018: 3739-3748 - [i2]Eric Crawford, Guillaume Rabusseau, Joelle Pineau:
Sequential Coordination of Deep Models for Learning Visual Arithmetic. CoRR abs/1809.04988 (2018) - [i1]Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung:
BanditSum: Extractive Summarization as a Contextual Bandit. CoRR abs/1809.09672 (2018) - 2016
- [j2]Eric Crawford, Matthew Gingerich, Chris Eliasmith:
Biologically Plausible, Human-Scale Knowledge Representation. Cogn. Sci. 40(4): 782-821 (2016) - [j1]Bernd J. Kröger, Eric Crawford, Trevor Bekolay, Chris Eliasmith:
Modeling Interactions between Speech Production and Perception: Speech Error Detection at Semantic and Phonological Levels and the Inner Speech Loop. Frontiers Comput. Neurosci. 10: 51 (2016) - 2013
- [c1]Eric Crawford, Matthew Gingerich, Chris Eliasmith:
Biologically Plausible, Human-scale Knowledge Representation. CogSci 2013
Coauthor Index
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