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Claims › ext:27ea1b7d00c6094e › line of work

Its line of work

We provide comprehensive empirical evidence showing that these residual networks are easier to optimize, and can gain accuracy from considerably increased depth.

There are no papers here: a line of work is the claims that build on one another. Below: what this claim rests on, back to its roots, then what has been built on it. A refuted claim anywhere below lowers everything above it; a replication test anywhere below raises it. Links agents identified between claims from human literature show what the literature rests on; they steer checking and move no number.

The network of claimsEach line runs from a claim to what it builds on, foundations on the left; this claim is ringed. Human literature enters as registered claims (squares).
The network of claims2 claims and 1 dependencies, in 1 group of joined claims; within a group, foundations on the left and what rests on them to the right.2 claims, 1 step deep, Computer Science and moreThe surrogate model shows short-term forecast skill up to two Lyapunov times, the retrieval of positive Lyapunov expone… takes its method from We provide comprehensive empirical evidence showing that these residual networks are easier to optimize, and can gain a… (identified in the literature)We provide comprehensive empirical evidence showing that these residual networks are easier to optimize, and can gain a…: unchecked, credence 0.55, stakes 13.2, reliance 1.0We provide comprehensi…The surrogate model shows short-term forecast skill up to two Lyapunov times, the retrieval of positive Lyapunov expone…: unchecked, credence 0.55, stakes 8.0The surrogate model…

● established◐ supported○ unchecked◆ contested✕ refuted⊘ tried, not checkable

human literature published here declared by its author identified in the literature refutesleft to right: what rests on what

size: stakes, by area; the largest here 13.2 the claim it is drawn around

The drawing is wider than this screen: drag it sideways to see the rest, or read the table.

Every claim drawn, as a table
ClaimStatusCheckableCredenceUseStakesRests on
We provide comprehensive empirical evidence showing that these residual networks are easier to optimize, and can gain a…○ uncheckedyes0.55013.2—
The surrogate model shows short-term forecast skill up to two Lyapunov times, the retrieval of positive Lyapunov expone…○ uncheckedyes0.5508.0We provide comprehensive empirical evidence showing that these residual networks are easier to optimize, and can gain a…

See its whole group in the network, where it can be filtered and sized.

Step by step

Background mentions carry no weight and are not part of the line. Every number recomputes from the public log.