A closer look at Deep-fibre FTTdp

A Closer Look at Memorization in Deep Networks

We examine the role of memorization in deep learning, drawing connections to capacity, generalization, and adversarial robustness. While deep networks are capable of memorizing noise data, our results suggest that they tend to prioritize learning simple patterns first. In our experiments, we expose qualitative differences in gradient-based optimization of deep neural networks (DNNs) on noise vs...

A Closer Look at Preduction

In a recent paper Jun Arima formalises the idea of preduc-tion { a non-monotonic schema providing a common basis for inductive and analogical reasoning. We examine some of the implications of this schema, as well as its connections with prototypes and conceptual spaces. A generalised version of his schema is motivated and developed to address diiculties with asymmetry and disjuncts.

A Closer Look at HMAC

Bellare, Canetti and Krawczyk [BCK96] show that cascading an ε-secure (fixed input length) PRF gives an O(εnq)-secure (variable input length) PRF when making at most q prefix-free queries of length n blocks. We observe that this translates to the same bound for NMAC (which is the cascade without the prefix-free requirement but an additional application of the PRF at the end), and give a matchin...

A Closer Look at Trumping1

According to Schaffer (2000a), “trumping preemption” is a category of redundant causation distinct from early and late preemption and from overdetermination. I show that the putative causal difference between causal processes in cases thought to be trumping preemption generates early preemption or overdetermination rather than trumping. I draw a novel lesson from cases thought to be trumping: t...

A closer look at follicular lymphoma.