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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.

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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Domain Adaptation and Few-Shot Learning
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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.

affaffiliation
fundfunder
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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.

705 results · 1 filter active ·
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20012025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
705 works in the cohort · of 4,299,418page 8 of 15

Labels cover 0 of 705 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 705 of 705 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Reproducibility and Stability Analysis in Metric-Based Few-Shot Learning.
Thomas Boquet, Laure Delisle, Denis Kochetkov, Nathan Schucher, Boris N. Oreshkin, Julien Cornebise
2019· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
4
citations
affunlabeled
Lifelong Online Learning from Accumulated Knowledge
Changjian Shui, William Wang, Ihsen Hedhli, Chi Man Wong, Feng Wan, Boyu Wang +1 more
2022· article· en· ACM Transactions on Knowledge Discovery from Data· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+open_science+insufficient_payloadconsensus · none
4
citations
affno abstractunlabeled
Class Impression for Data-Free Incremental Learning
Sana Ayromlou, Purang Abolmaesumi, Teresa S.M. Tsang, Xiaoxiao Li
2022· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · open_science
4
citations
afffundunlabeled
Transfer Learning With Reconstruction Loss
Wei Cui, Wei Yu
2024· article· en· IEEE Transactions on Machine Learning in Communications and Networking· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Transfer Learning with Input Reconstruction Loss
Wei Yu
2022· article· en· GLOBECOM 2022 - 2022 IEEE Global Communications Conference· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · none
4
citations
affunlabeled
One-Shot Weakly Supervised Video Object Segmentation
Mennatullah Siam, Naren Doraiswamy, Boris N. Oreshkin, Hengshuai Yao, Martin Jägersand
2019· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
3
citations
affunlabeled
Transfer Learning Can Introduce Bias
Parisa Salmani, Peter R. Lewis
2024· book-chapter· en· Frontiers in artificial intelligence and applications· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
venueno affunlabeled
Frame Augmentation for Imbalanced Object Detection Datasets
Nada Hesham Kamaledin Elasal, David M. Swart, Nicholas Miller
2018· article· en· Journal of Computational Vision and Imaging Systems· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Riemannian Proximal Policy Optimization
Shijun Wang, Baocheng Zhu, Chen Li, Mingzhe Wu, James Zhang, Wei Chu +1 more
2020· article· en· Computer and Information Science· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Diverse and feasible retrosynthesis using GFlowNets
Piotr Gaiński, Michał Koziarski, Krzysztof Maziarz, Marwin Segler, Jacek Tabor, Marek Śmieja
2025· article· en· Information Sciences· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations

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