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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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Generative Adversarial Networks and Image Synthesis
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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
venuejournal
aboutaboutness

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

668 results · 1 filter active ·
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20002025
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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.
668 works in the cohort · of 4,299,418page 9 of 14

Labels cover 1 of 668 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 668 of 668 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Deep Fakes Image Animation Using Generative Adversarial Networks
A K Manjula, R. Thirukkumaran, K Hrithik Raj, Ashwin Athappan, R Paramesha Reddy
2022· article· en· 2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
2
citations
affunlabeled
Perceptual Generative Autoencoders
Zijun Zhang, Ruixiang Zhang, Yoshua Bengio, Liam Paull
2019· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
2
citations
aboutno affunlabeled
Towards disease-aware image editing of chest X-rays
Aakash Saboo, Sai Niranjan Ramachandran, Kai Dierkes, Hacer Yalım Keleş
2021· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affunlabeled
Semi-supervised Sequential Generative Models
Michael N. Teng, Tuan Anh Lê, Adam Ścibior, Frank Wood
2020· article· en· Uncertainty in Artificial Intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
Deep Learning in the Wild
Thilo Stadelmann, Mohammadreza Amirian, Ismail Arabaci, Marek Arnold, Gilbert François Duivesteijn, Ismail Elezi +5 more
2018· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Knockout: A simple way to handle missing inputs
Minh‐Hoang Nguyen, Batuhan K. Karaman, Heejong Kim, Alan Q. Wang, Fengbei Liu, Mert R. Sabuncu
2024· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affunlabeled
TagGAN: A generative model for data tagging
Muhammad Nawaz, Basma Nasir, Tehseen Zia, Zawar Hussain, Catarina Moreira
2025· article· en· Computers in Biology and Medicine· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Gnireteet
David Bruce
2024· article· en· The Canadian Journal of Chemical Engineering· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Multi-Resolution Continuous Normalizing Flows
Vikram Voleti, Chris Finlay, Adam M. Oberman, Christopher Pal
2023· preprint· en· Research Square· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
afffundunlabeled
Realistic galaxy image simulation via score-based generative models
Michael J. Smith, J. E. Geach, R. A. JACKSON, Nikhil Arora, Connor Stone, Stéphane Courteau
2022· preprint· en· Monthly Notices of the Royal Astronomical Society· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
AFreeCA: Annotation-Free Counting for All
Adriano D’Alessandro, Ali Mahdavi‐Amiri, Ghassan Hamarneh
2024· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
1
citations
affunlabeled
Top-Down Deep Clustering with Multi-Generator GANs
Daniel de Mello, Renato Assunção, Fabrício Murai
2022· preprint· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
fundno affunlabeled
Secondary Vertex Reconstruction with MaskFormers
Samuel van Stroud, Nikita Ivvan Pond, Max Hart, Jackson Barr, S. Rettie, G. Facini +1 more
2023· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affunlabeled
Stabilizing Adversarial Training for Generative Networks
Walter Gerych, Kevin Hickey, Thomas Hartvigsen, Luke Buquicchio, Abdulaziz Alajaji, Kavin Chandrasekaran +3 more
2023· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About