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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Multimodal Machine Learning Applications
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

476 results · 1 filter active ·
Categories
Machine labels · sparse coverage
Evidence
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
476 works in the cohort · of 4,299,418page 2 of 10

Labels cover 3 of 476 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 476 of 476 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Enhance Vision-Language Alignment with Noise
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
38
citations
affunlabeled
A Review of Deep Learning for Video Captioning
2024· review· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
28
citations
affno abstractunlabeled
Vision Language Models are blind
2024· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
28
citations
affunlabeled
Self-Supervised Representation Learning from Flow Equivariance
2021· article· en· 2021 IEEE/CVF International Conference on Computer Vision (ICCV)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
24
citations
affunlabeled
Learning Visual Reasoning Without Strong Priors
2017· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communicationconsensus · none
23
citations
affunlabeled
Deep Learning–Based Multimedia Analytics
2019· article· en· ACM Transactions on Multimedia Computing Communications and Applications· Computer Science
distilled prediction:candidate · metaepi_narrow+stsconsensus · none
22
citations
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How this was built: Screen · Findings · About