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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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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.

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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.

668 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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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 1 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.

affno abstractunlabeled
Deep learning
Yann LeCun, Yoshua Bengio, Geoffrey E. Hinton
2015· review· en· Nature· Computer Science
machine prediction:candidate · noneconsensus · none
81,659
citations
affunlabeled
Generative adversarial networks
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair +2 more
2020· article· en· Communications of the ACM· Computer Science
machine prediction:candidate · noneconsensus · none
13,622
citations
affunlabeled
Greedy Layer-Wise Training of Deep Networks
Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle
2007· book-chapter· en· The MIT Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
4,704
citations
fundno affunlabeled
Generative Adversarial Networks
Ian Goodfellow
2014· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
4,572
citations
affunlabeled
Generative Adversarial Networks: An Overview
Antonia Creswell, Tom White, Vincent Dumoulin, Kai Arulkumaran, Biswa Sengupta, Anil A. Bharath
2018· article· en· IEEE Signal Processing Magazine· Computer Science
machine prediction:candidate · noneconsensus · none
4,422
citations
affunlabeled
Deep Boltzmann machines
Ruslan Salakhutdinov, Geoffrey E. Hinton
2009· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
1,778
citations
affunlabeled
Palette: Image-to-Image Diffusion Models
Chitwan Saharia, William Chan, Huiwen Chang, Chris Lee, Jonathan Ho, Tim Salimans +2 more
2022· preprint· en· Computer Science
machine prediction:candidate · noneconsensus · none
1,504
citations
affunlabeled
A Recurrent Latent Variable Model for Sequential Data
Jun‐Young Chung, Kyle Kastner, Laurent Dinh, Kratarth Goel, Aaron Courville, Yoshua Bengio
2015· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
705
citations
fundno affunlabeled
The Neural Autoregressive Distribution Estimator
Hugo Larochelle, Iain Murray
2011· article· en· Edinburgh Research Explorer (University of Edinburgh)· Computer Science
machine prediction:candidate · noneconsensus · none
431
citations
affno abstractunlabeled
Higher Order Contractive Auto-Encoder
Salah Rifai, Grégoire Mesnil, Pascal Vincent, Xavier Muller, Yoshua Bengio, Yann Dauphin +1 more
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
380
citations
affunlabeled
MADE: Masked Autoencoder for Distribution Estimation
Mathieu Germain, Karol Gregor, Iain Murray, Hugo Larochelle
2015· preprint· en· Edinburgh Research Explorer (University of Edinburgh)· Computer Science
machine prediction:candidate · noneconsensus · none
269
citations
affunlabeled
Importance Weighted Autoencoders
Yuri Burda
2015· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
251
citations
affaboutunlabeled
Generative Moment Matching Networks
Yujia Li, Kevin Swersky, Richard S. Zemel
2015· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
244
citations
affunlabeled
Learning with Hierarchical-Deep Models
Ruslan Salakhutdinov, Joshua B. Tenenbaum, Antonio Torralba
2013· article· en· IEEE Transactions on Pattern Analysis and Machine Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
235
citations
affunlabeled
Image Generation From Layout
Bo Zhao, Lili Meng, Weidong Yin, Leonid Sigal
2019· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
215
citations
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