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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.

69 results · 1 filter active ·
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20052021
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
69 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 69 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 69 of 69 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
A Spike and Slab Restricted Boltzmann Machine
Aaron Courville, James Bergstra, Yoshua Bengio
2011· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
distilled prediction:candidate · noneconsensus · none
77
citations
affno abstractunlabeled
Discovering and Exploiting Additive Structure for Bayesian Optimization
Jacob R. Gardner, Chuan Guo, Kilian Q. Weinberger, Roman Garnett, Roger Grosse
2017· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
60
citations
affunlabeled
Scalable Gradients for Stochastic Differential Equations
Xuechen Li, Ting‐Kam Leonard Wong, Ricky T. Q. Chen, David Duvenaud
2020· article· en· International Conference on Artificial Intelligence and Statistics· Physics and Astronomy
distilled prediction:candidate · insufficient_payloadconsensus · none
37
citations
affno abstractunlabeled
Accelerated Stochastic Power Iteration
Peng Xu, Bryan He, Christopher De, Ioannis Mitliagkas, Christopher Ré
2018· article· en· International Conference on Artificial Intelligence and Statistics· Engineering
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
30
citations
affunlabeled
Learning from Weak Teachers
Ruth Urner, Shai Ben-David, Ohad Shamir
2012· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
distilled prediction:candidate · noneconsensus · none
28
citations
affunlabeled
{PAC-Bayesian Theory for Transductive Learning}
Luc Bégin, Pascal Germain, François Laviolette, Jean-Francis Roy
2014· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
distilled prediction:candidate · noneconsensus · none
25
citations
affno abstractunlabeled
Value Preserving State-Action Abstractions
David Abel, Nate Umbanhowar, Khimya Khetarpal, Dilip Arumugam, Doina Precup, Michael L. Littman
2020· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
distilled prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Sequential Inference for Deep Gaussian Process
Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun
2016· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
distilled prediction:candidate · noneconsensus · none
15
citations
affno abstractunlabeled
Scalable and Sound Low-Rank Tensor Learning
Hao Cheng, Yaoliang Yu, Zhang Xin-hua, Eric P. Xing, Dale Schuurmans
2016· article· en· International Conference on Artificial Intelligence and Statistics· Mathematics
distilled prediction:candidate · insufficient_payloadconsensus · none
12
citations
affno abstractunlabeled
On the role of data in PAC-Bayes
Gintare Karolina Dziugaite, Kyle Hsu, Waseem Gharbieh, Gabriel Arpino, Daniel M. Roy
2021· article· en· International Conference on Artificial Intelligence and Statistics· Engineering
distilled prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Multitask Metric Learning: Theory and Algorithm
Boyu Wang, Hejia Zhang, Peng Liu, Zebang Shen, Joëlle Pineau
2019· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
distilled prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Accelerating Smooth Games by Manipulating Spectral Shapes.
Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel
2020· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
distilled prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Frank-Wolfe Splitting via Augmented Lagrangian Method
Gauthier Gidel, Fabián Pedregosa, Simon Lacoste-Julien
2018· article· en· International Conference on Artificial Intelligence and Statistics· Engineering
distilled prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Asynchronous Gibbs Sampling.
Alexander Terenin, Daniel Simpson, David Draper
2020· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Unsupervised Sequential Sensor Acquisition
Manjesh K. Hanawal, Csaba Szepesvári, Venkatesh Saligrama
2017· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
9
citations
affunlabeled
Vine copula structure learning via Monte Carlo tree search
Bo Chang, Shenyi Pan, Harry Joe
2019· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
8
citations
affunlabeled
Does Invariant Risk Minimization Capture Invariance
Pritish Kamath, Akilesh Tangella, Danica J. Sutherland, Nathan Srebro
2021· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Benefits from Superposed Hawkes Processes
Hongteng Xu, Dixin Luo, Xu Chen, Lawrence Carin
2017· article· en· International Conference on Artificial Intelligence and Statistics· Mathematics
distilled prediction:candidate · insufficient_payloadconsensus · none
6
citations
affno abstractunlabeled
On Minimax Optimality of GANs for Robust Mean Estimation.
Kaiwen Wu, Gavin Weiguang Ding, Ruitong Huang, Yaoliang Yu
2020· article· en· International Conference on Artificial Intelligence and Statistics· Engineering
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Online Sparse Reinforcement Learning
Botao Hao, Tor Lattimore, Csaba Szepesvári, Mengdi Wang
2021· article· en· International Conference on Artificial Intelligence and Statistics· Decision Sciences
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · none
6
citations
affunlabeled
Implicit Regularization via Neural Feature Alignment
Aristide Baratin, Thomas George, César Laurent, R Devon Hjelm, Guillaume Lajoie, Pascal Vincent +1 more
2021· article· en· International Conference on Artificial Intelligence and Statistics· Engineering
distilled prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Survey Propagation beyond Constraint Satisfaction Problems.
Christopher Srinivasa, Siamak Ravanbakhsh, Brendan J. Frey
2016· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Nonlinear Weighted Finite Automata
Tianyu Li, Guillaume Rabusseau, Doina Precup
2018· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
5
citations
affunlabeled
CLAR: Contrastive Learning of Auditory Representations
Haider Al-Tahan, Yalda Mohsenzadeh
2021· article· en· International Conference on Artificial Intelligence and Statistics· Computer Science
distilled prediction:candidate · noneconsensus · none
5
citations

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