What is recorded here?
Trains shared features with prediction, selection and auxiliary-prediction heads, minimizing selective loss plus a coverage penalty to specialize to a chosen accepted region.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Coverage penalty is not an exact population coverage/risk constraint; source discusses held-out threshold calibration and measured violations. General image/regression architecture only; no clinical application result or universal safe-rejection guarantee.
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People and systems
Yonatan Geifman; Ran El-Yaniv
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
SelectiveNet: joint prediction and rejection with an auxiliary head
Trains shared features with prediction, selection and auxiliary-prediction heads, minimizing selective loss plus a coverage penalty to specialize to a chosen accepted region.
Scientific scope
Coverage penalty is not an exact population coverage/risk constraint; source discusses held-out threshold calibration and measured violations. General image/regression architecture only; no clinical application result or universal safe-rejection guarantee.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Yonatan Geifman; Ran El-Yaniv
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.