Learning Invariant Representations using Inverse Contrastive Loss is a research paper published in Proceedings of the AAAI Conference on Artificial Intelligence (2021). On theSindex it has a DataRank of 0.241. It has been cited 4 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.241
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institutes of Health
Grant: 5U54AI117924-02
BD2K Center Consortium
National Science Foundation
Grant: 1252725
CAREER: Efficient Statistical Inference using Neuroimaging data for Sample Enrichment and Optimizing Power
National Institutes of Health
Grant: 1RF1AG059312-01A1
Algebraic Formulations for Characterizing Structural Brain Connectivity Changes and Pathology Transmission Networks in Preclinical Alzheimer's Disease
National Science Foundation
Grant: 1918211
FMitF: Track I: Formal Methods for Explainable Machine Learning
National Institutes of Health
Grant: 5U54AI117924-05
The Center for Predictive Computational Phenotyping-1 Overall
Fields of Study
Keywords