Learning Concept Credible Models for Mitigating Shortcuts.

Jiaxuan Wang, Sarah Jabbour, Maggie Makar, Michael Sjoding, Jenna Wiens

Abstract read

In one paragraph

Article in Advances in neural information processing systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jiaxuan WangDivision of Computer Science & Engineering, University of Michigan, Ann Arbor, MI, USA.

Sarah JabbourDivision of Computer Science & Engineering, University of Michigan, Ann Arbor, MI, USA.

Maggie MakarDivision of Computer Science & Engineering, University of Michigan, Ann Arbor, MI, USA.

Michael SjodingDivision of Pulmonary and Critical Care, Michigan Medicine, Ann Arbor, MI, USA.

Jenna WiensDivision of Computer Science & Engineering, University of Michigan, Ann Arbor, MI, USA.

Funding

Optimizing Clinician and AI Collaborations to Support Timely Management of Acute DyspneaR01HL158626 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Michael William Sjoding, Jenna Wiens · 2021 to 2026

$3.8M

NHLBI NIH HHS R01 HL158626

6 · The paper itself

Abstract

During training, models can exploit spurious correlations as shortcuts, resulting in poor generalization performance when shortcuts do not persist. In this work, assuming access to a representation based on domain knowledge (

Identifiers

PMID38149289

PMCPMC10751032

What OpenQuestion holds

Textmetadata

LicenceTDM

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.