Biologically Plausible, Human-Scale Knowledge Representation. - Eric Crawford; Matthew Gingerich; Chris Eliasmith (Cogn. Sci., 2016)

Modeling Interactions between Speech Production and Perception: Speech Error Detection at Semantic and Phonological Levels and the Inner Speech Loop. - Bernd J. Kröger; Eric Crawford; Trevor Bekolay; Chris Eliasmith (Frontiers Comput. Neurosci., 2016)

BanditSum: Extractive Summarization as a Contextual Bandit. - Yue Dong 002; Yikang Shen; Eric Crawford; Herke van Hoof; Jackie Chi Kit Cheung (EMNLP, 2018)

Sequential Coordination of Deep Models for Learning Visual Arithmetic. - Eric Crawford; Guillaume Rabusseau; Joelle Pineau (CoRR, 2018)

Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks. - Eric Crawford; Joelle Pineau (AAAI, 2019)

Self-supervised Learning of Distance Functions for Goal-Conditioned Reinforcement Learning. - Srinivas Venkattaramanujam; Eric Crawford; Thang Doan; Doina Precup (CoRR, 2019)

Exploiting Spatial Invariance for Scalable Unsupervised Object Tracking. - Eric Crawford; Joelle Pineau (AAAI, 2020)