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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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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.

208 results · 1 filter active ·
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20002021
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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.
208 works in the cohort · of 4,299,418page 4 of 5

Labels cover 0 of 208 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 208 of 208 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
Learning Linear Programs from Optimal Decisions
Yingcong Tan, Daria Terekhov, Andrew Delong
2020· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Learning Agent Representations for Ice Hockey
Guiliang Liu, Oliver Schulte, Pascal Poupart, Mike Rudd, Mehrsan Javan
2020· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Training Linear Finite-State Machines.
Arash Ardakani, Amir Ardakani, Warren J. Gross
2020· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Min-Max Propagation
Christopher Srinivasa, Inmar E. Givoni, Siamak Ravanbakhsh, Brendan J. Frey
2017· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Equivariant Networks for Hierarchical Structures
Renhao Wang, Marjan Albooyeh, Siamak Ravanbakhsh
2020· article· en· Neural Information Processing Systems· Engineering
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Artsheets for Art Datasets
R. Srinivasan, Emily Denton, Jordan Famularo, Negar Rostamzadeh, Fernando Díaz, Beth Coleman
2021· article· en· Neural Information Processing Systems· Neuroscience
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Convex Two-Layer Modeling with Latent Structure
Vignesh Ganapathiraman, Xinhua Zhang, Yaoliang Yu, Junfeng Wen
2016· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Higgs boson discovery with boosted trees
Tong He
2014· article· en· Neural Information Processing Systems· Arts and Humanities
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Bayesian Optimisation for Machine Translation
Phil Blunsom, Yishu Miao, Ziyu Wang
2014· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Iterative Teaching by Label Synthesis
Weiyang Liu, Zhen Liu, Hanchen Wang, Liam Paull, Bernhard Schölkopf, Adrian Weller
2021· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Regime Switching Bandits
Xiang Zhou, Yi Xiong, Ningyuan Chen, Xuefeng Gao
2021· article· en· Neural Information Processing Systems· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, Sanja Fidler
2021· article· en· Neural Information Processing Systems· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Dynamic Inference with Neural Interpreters
Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, Peter Gehler, Yoshua Bengio, Francesco Locatello +1 more
2021· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Techniques for Symbol Grounding with SATNet
Sever Topan, David Rolnick, Xujie Si
2021· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Local Hyper-Flow Diffusion
Kimon Fountoulakis, Pan Li, Shenghao Yang
2021· article· en· Neural Information Processing Systems· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
On Numerosity of Deep Neural Networks
Xi Zhang, Xiaolin Wu
2020· article· en· Neural Information Processing Systems· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Entropic Desired Dynamics for Intrinsic Control
Steven Hansen, Guillaume Desjardins, Kate Baumli, David Warde-Farley, Nicolas Heess, Simon Osindero +1 more
2021· article· en· Neural Information Processing Systems· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations

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