On the public citation graph

Single-Modal Entropy based Active Learning for Visual Question Answering

0 signed · 5 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4757425openalex-extracted
Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00956openalex-snapshot
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning
inferred← citeshttps://doi.org/10.1109/cvpr52729.2023.01124openalex-snapshot
Generative Bias for Robust Visual Question Answering
inferred← citeshttps://doi.org/10.1109/lsp.2023.3257725openalex-snapshot
Modeling Semantic Correlation and Hierarchy for Real-World Wildlife Recognition
inferred← citeshttps://doi.org/10.1109/tmm.2024.3371192openalex-snapshot
Say No to Redundant Information: Unsupervised Redundant Feature Elimination for Active Learning
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.