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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
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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 6 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
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
affunlabeled
Generative mixture of networks
Ershad Banijamali, Ali Ghodsi, Pascal Popuart
2017· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
ResViT
Wasim Ahmad, Sahibzada Adil Shahzad, Ammarah Hashmi, Faisal Ghaffar
2022· article· en· International journal of electrical and computer engineering systems· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Bidirectional Helmholtz Machines
Jörg Bornschein, Samira Shabanian, Asja Fischer, Yoshua Bengio
2015· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Landmark-Guided Conditional GANs for Face Aging
Xin Huang, Minglun Gong
2022· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Tailor Me: An Editing Network for Fashion Attribute Shape Manipulation
Youngjoong Kwon, Stefano Petrangeli, Dahun Kim, Haoliang Wang, Viswanathan Swaminathan, Henry Fuchs
2022· article· en· 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
afffundunlabeled
SAC-GAN: Structure-Aware Image Composition
Hang Zhou, Rui Ma, Lingxiao Zhang, Lin Gao, Ali Mahdavi‐Amiri, Hao Zhang
2022· article· en· IEEE Transactions on Visualization and Computer Graphics· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Abstract: Würstchen
Pablo Pernias, Dominic Rampas, Mats L. Richter, Christopher Pal, Marc Aubreville
2025· book-chapter· de· Informatik aktuell· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
7
citations
affgemma · no categorygpt · no categorymodels agree
GAN-enhanced Conditional Echocardiogram Generation
Amir H. Abdi, Teresa S.M. Tsang, Purang Abolmaesumi
2019· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
fundno affunlabeled
Sparse-Coding Variational Autoencoders
Victor Geadah, Gabriel Barello, Daniel Greenidge, Adam S. Charles, Jonathan W. Pillow
2024· article· en· Neural Computation· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Labels4Free: Unsupervised Segmentation using StyleGAN
Rameen Abdal, Peihao Zhu, Niloy J. Mitra, Peter Wonka
2021· preprint· en· 2021 IEEE/CVF International Conference on Computer Vision (ICCV)· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Cross-Spectrum Thermal Face Pattern Generator
Xingdong Cao, Kenneth Lai, Gee-Sern Hsu, Michael R. Smith, Svetlana Yanushkevich
2022· article· lv· IEEE Access· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Learning Generative Models with Visual Attention
Yichuan Tang, Nitish Srivastava, Ruslan Salakhutdinov
2013· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Deep Probabilistic Canonical Correlation Analysis
Mahdi Karami, Dale Schuurmans
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Boundary Seeking GANs
R Devon Hjelm, Athul Paul Jacob, Adam Trischler, Gerry Che, Kyunghyun Cho, Yoshua Bengio
2018· article· en· International Conference on Learning Representations· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
Survey on generative adversarial networks
Yashwanth Nanjappa, P. Navya, Md. Rukhiya, K. S. V. Prasad, K. S. Deepthi
2019· article· en· International journal of advance research, ideas and innovations in technology· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations

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