MétaCan
ENFR
Menu
Cohort builder

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.

Export CSVExport JSONAPI query

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Generative Adversarial Networks and Image Synthesis
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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 ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
668 works in the cohort · of 4,299,418page 3 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. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affunlabeled
Generating more realistic images using gated MRF's
Marc’Aurelio Ranzato, Volodymyr Mnih, Geoffrey E. Hinton
2010· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
63
citations
afffundunlabeled
An Infinite Restricted Boltzmann Machine
Marc-Alexandre Côté, Hugo Larochelle
2016· article· en· Neural Computation· Computer Science
machine prediction:candidate · noneconsensus · none
57
citations
affunlabeled
Analogy‐driven 3D style transfer
Chongyang Ma, Haibin Huang, Alla Sheffer, Evangelos Kalogerakis, Rui Wang
2014· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
47
citations
affvenueno abstractunlabeled
Generative Adversarial Networks in Cardiology
Youssef Skandarani, Alain Lalande, Jonathan Afilalo, Pierre‐Marc Jodoin
2021· review· en· Canadian Journal of Cardiology· Computer Science
machine prediction:candidate · noneconsensus · none
44
citations
affunlabeled
Deep Lambertian Networks
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hinton
2012· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
43
citations
fundno affunlabeled
A Layer-Based Sequential Framework for Scene Generation with GANs
Mehmet Özgür Türkoglu, William Thong, Luuk Spreeuwers, Berkay Kicanaoglu
2019· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
42
citations
affno abstractunlabeled
Layout2image: Image Generation from Layout
Bo Zhao, Weidong Yin, Lili Meng, Leonid Sigal
2020· article· en· International Journal of Computer Vision· Computer Science
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
LOGAN
2019· article· en· ACM Transactions on Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
39
citations
affunlabeled
On the Challenges of Physical Implementations of RBMs
Vincent Dumoulin, Ian Goodfellow, Aaron Courville, Yoshua Bengio
2014· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
37
citations
afffundno abstractunlabeled
CycleGAN for style transfer in X-ray angiography
Oleksandra Tmenova, Rémi Martin, Luc Duong
2019· article· en· International Journal of Computer Assisted Radiology and Surgery· Computer Science
machine prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Reweighted Wake-Sleep
Jörg Bornschein, Yoshua Bengio
2014· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
Saliency-Guided Image Translation
Lai Jiang, Mai Xu, Xiaofei Wang, Leonid Sigal
2021· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
← previousnext →

How this was built: Screen · Findings · About