9 citations · 9 across the 1 of their papers we have counts for
3 papers
cs.LG2020★ 9 cited
Latent Adversarial Debiasing: Mitigating Collider Bias in Deep Neural Networks
Luke Darlow, Stanisław Jastrzębski, Amos Storkey
Collider bias is a harmful form of sample selection bias that neural networks are ill-equipped to handle. This bias manifests itself when the underlying causal signal is strongly c…
cs.CV2020
DHOG: Deep Hierarchical Object Grouping
Luke Nicholas Darlow, Amos Storkey
Recently, a number of competitive methods have tackled unsupervised representation learning by maximising the mutual information between the representations produced from augmentat…
cs.LG2020
What Information Does a ResNet Compress?
Luke Nicholas Darlow, Amos Storkey
The information bottleneck principle (Shwartz-Ziv & Tishby, 2017) suggests that SGD-based training of deep neural networks results in optimally compressed hidden layers, from an in…