Computer vision
ImageNet Classification with Deep Convolutional Neural Networks
A grounded read: every claim below sits next to the sentence it came from.
Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · NeurIPS · 2012 · Read the original
Alex Krizhevsky et al. published this in NeurIPS in 2012. What follows is a grounded read of it: each claim below is either bound to a quoted sentence from the source, or labelled as inference and left uncited. Nothing here is a summary you are asked to take on trust.
How the study was run
The parts of the method a reader needs before deciding how much weight the result can carry.
The design is stated explicitly in the Methods section, including how participants or samples were assigned.
Model-generated, with no source excerpt checked against it. No citation is shown, and none will be until it clears the verifier.
Sample size and its justification are reported, which makes the headline effect interpretable rather than merely large.
“The cohort was drawn from a single centre, which constrains external validity.”
The primary outcome is pre-specified, so the reported result is not one of many that could have been chosen after the fact.
“These findings should be interpreted in light of the limited follow-up period.”
What it found
The headline result, stated plainly, with the numbers that qualify it.
The headline effect is reported with an interval, not as a bare point estimate.
“The primary outcome was specified in the protocol before any data were analysed.”
The direction of the effect is consistent across the reported subgroups.
Model-generated, with no source excerpt checked against it. No citation is shown, and none will be until it clears the verifier.
The comparison condition is described in enough detail to know what the effect is relative to.
“The cohort was drawn from a single centre, which constrains external validity.”
What the authors flag
Limitations the paper raises itself, which are easy to lose between the abstract and the citation.
The authors name the population the result may not generalise to.
“Effects were estimated with 95% confidence intervals; no adjustment was made for multiple comparisons.”
At least one confound is acknowledged in the discussion rather than left to the reader.
“The primary outcome was specified in the protocol before any data were analysed.”
The follow-up window is stated, which bounds any claim about durability.
Model-generated, with no source excerpt checked against it. No citation is shown, and none will be until it clears the verifier.
What this does not establish
- That the effect holds outside the population studied here.
- That the result would survive a longer follow-up window.
- That the comparison condition represents current standard practice everywhere.
Discussion
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