Workshop Preprints and Slides

J. B. Aimone, W. M. Severa

Context-modulation of hippocampal dynamics and deep convolutional networks

D. Bablani & P. Chadha

Improving transfer using augmented feedback in progressive neural networks

J. Lindsey

Pre-training attentional mechanisms

Z. Liu, T. Q. S. Quek, & S. Lin

Variational probability flow for biologically plausible training of deep neural networks

Michael Mozer, Denis Kazakov

Access consciousness and the construction of actionable representations

Benjamin Spector, Serge Belongie

Sample-Efficient Reinforcement Learning through Transfer and Architectural Priors

Sjoerd van Steenkiste, Michael Chang, Klaus Greff, and Jürgen Schmidhuber

Relational neural expectation maximization

J. C. Thiele, O. Bichler, & A. Dupret

Using STDP for unsupervised, event-based online learning

Fan Yang, Jiazhong Nie William W. Cohen Ni Lao

Learning to organize knowledge with n-gram machines