9 citations · 18 across the 3 of their papers we have counts for
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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.LG2020★ 4 cited
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…