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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 2 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
Monte-Carlo Tree Search for Constrained POMDPs
Jongmin Lee, Geon-Hyeong Kim, Pascal Poupart, Kee-Eung Kim
2018· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
31
citations
affunlabeled
Variational Memory Addressing in Generative Models
Jörg Bornschein, Andriy Mnih, Daniel Zoran, Danilo Jimenez Rezende
2017· article· en· Neural Information Processing Systems· Social Sciences
machine prediction:candidate · noneconsensus · none
26
citations
affunlabeled
Efficient and Thrifty Voting by Any Means Necessary
Debmalya Mandal, Ariel D. Procaccia, Nisarg Shah, David P. Woodruff
2019· article· en· Neural Information Processing Systems· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
26
citations
affunlabeled
Convex Deep Learning via Normalized Kernels
Özlem Aslan, Xinhua Zhang, Dale Schuurmans
2014· article· en· Neural Information Processing Systems· Engineering
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Launch and Iterate: Reducing Prediction Churn
Mahdi Milani Fard, Quentin Cormier, Kevin Robert Canini, Maya R. Gupta
2016· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
23
citations
affunlabeled
Latent Maximum Margin Clustering
Guang-Tong Zhou, Tian Lan, Arash Vahdat, Greg Mori
2013· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
22
citations
affunlabeled
Deep learning games
Dale Schuurmans, Martin Zinkevich
2016· article· en· Neural Information Processing Systems· Decision Sciences
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
Variational Amodal Object Completion
Huan Ling, David Acuna, Karsten Kreis, Seung Wook Kim, Sanja Fidler
2020· article· en· Neural Information Processing Systems· Social Sciences
machine prediction:candidate · noneconsensus · none
20
citations
affno abstractunlabeled
On Efficiency in Hierarchical Reinforcement Learning
Zheng Wen, Doina Precup, Morteza Ibrahimi, André Barreto, Benjamin Van Roy, Satinder Singh
2020· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Invertible Convolutional Flow
Mahdi Karami, Dale Schuurmans, Jascha Sohl‐Dickstein, Laurent Dinh, Daniel Duckworth
2019· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Inverse Filtering for Hidden Markov Models
Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg
2017· article· en· Neural Information Processing Systems· Computer Science
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Multi-Step Dyna Planning for Policy Evaluation and Control
Hengshuai Yao, Shalabh Bhatnagar, Dongcui Diao, Richard S. Sutton, Csaba Szepesvári
2009· article· en· Neural Information Processing Systems· Decision Sciences
machine prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Semiparametric Differential Graph Models
Pan Xu, Quanquan Gu
2016· article· en· Neural Information Processing Systems· Mathematics
machine prediction:candidate · noneconsensus · none
15
citations

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