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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 5 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
A systematic comparison of generative models for medical images
Hristina Uzunova, Matthias Wilms, Nils D. Forkert, Heinz Handels, Jan Ehrhardt
2022· article· en· International Journal of Computer Assisted Radiology and Surgery· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Time-aware Large Kernel Convolutions
Vasileios Lioutas, Yuhong Guo
2020· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Exploiting Relationship for Complex-scene Image Generation
Tianyu Hua, Hongdong Zheng, Yalong Bai, Wei Zhang, Xiao–Ping Zhang, Tao Mei
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Object-Centric Image Generation from Layouts
Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R Devon Hjelm, Shikhar Sharma
2021· preprint· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
On Training Deep Boltzmann Machines
Guillaume Desjardins, Aaron Courville, Yoshua Bengio
2012· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Clockwork Variational Autoencoders
Vaibhav Saxena, Jimmy Ba, Danijar Hafner
2021· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Bidirectional Helmholtz machines
Jörg Bornschein, Samira Shabanian, Asja Fischer, Yoshua Bengio
2016· article· en· International Conference on Machine Learning· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Data Augmentation using CA Evolved GANs
Kaitav Nayankumar Mehta, Ziad Kobti, Kathryn Pfaff, Susan H. Fox
2019· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Stochastic Neighbour Embedding
Benyamin Ghojogh, Mark Crowley, Fakhri Karray, Ali Ghodsi
2023· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Diffusion Texture Painting
A Hu, Nishkrit Desai, Hassan Abu Alhaija, Seung Wook Kim, Maria Shugrina
2024· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Undirected Graphical Models as Approximate Posteriors
Arash Vahdat, Evgeny Andriyash, William G. Macready
2020· article· en· International Conference on Machine Learning· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affno abstractunlabeled
Boltzmann Machines
Geoffrey E. Hinton
2017· book-chapter· en· Encyclopedia of Machine Learning and Data Mining· Computer Science
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Generative mixture of networks
Ershad Banijamali, Ali Ghodsi, Pascal Popuart
2017· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
RAST: Restorable Arbitrary Style Transfer
Yingnan Ma, Chenqiu Zhao, Bingran Huang, Anup Basu
2023· article· en· ACM Transactions on Multimedia Computing Communications and Applications· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
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