papers
Publications (12)
stat.ML2018
Uncertainty in Multitask Transfer Learning
Alexandre Lacoste, Boris Oreshkin, Wonchang Chung +3
cs.LG2018
Neural Autoregressive Flows
Chin-Wei Huang, David Krueger, Alexandre Lacoste +1
stat.ML2017
A Closer Look at Memorization in Deep Networks
Devansh Arpit, StanisÅaw JastrzÄbski, Nicolas Ballas +8
cs.NE2017
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
David Krueger, Tegan Maharaj, János Kramár +7
stat.ML2017
Deep Prior
Alexandre Lacoste, Thomas Boquet, Negar Rostamzadeh +3
cs.LG2015
NICE: Non-linear Independent Components Estimation
Laurent Dinh, David Krueger, Yoshua Bengio
cs.LG2018
Scalable agent alignment via reward modeling: a research direction
Jan Leike, David Krueger, Tom Everitt +3
stat.ML2015
Zero-bias autoencoders and the benefits of co-adapting features
Kishore Konda, Roland Memisevic, David Krueger
stat.ML2018
Bayesian Hypernetworks
David Krueger, Chin-Wei Huang, Riashat Islam +3
cs.NE2016
Regularizing RNNs by Stabilizing Activations
David Krueger, Roland Memisevic
cs.CL2018
Nested LSTMs
Joel Ruben Antony Moniz, David Krueger
cs.LG2015
Testing Visual Attention in Dynamic Environments
Philip Bachman, David Krueger, Doina Precup