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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.

80 results · 1 filter active ·
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20132021
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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.
80 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 80 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 80 of 80 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Optimization as a Model for Few-Shot Learning
Sachin Ravi, Hugo Larochelle
2017· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · sts+scholarly_communicationconsensus · none
2,447
citations
affunlabeled
How to Construct Deep Recurrent Neural Networks
Razvan Pascanu, Çağlar Gülçehre, Kyunghyun Cho, Yoshua Bengio
2014· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · noneconsensus · none
582
citations
affunlabeled
A Structured Self-Attentive Sentence Embedding.
Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou +1 more
2017· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
365
citations
affno abstractunlabeled
Char2Wav: End-to-End Speech Synthesis
Jose Sotelo, Soroush Mehri, Kundan Kumar, João Felipe Santos, Kyle Kastner, Aaron Courville +1 more
2017· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · scholarly_communication+insufficient_payloadconsensus · insufficient_payload
335
citations
affno abstractunlabeled
Multiple-Attribute Text Rewriting.
Guillaume Lample, Sandeep Subramanian, Eric M. Smith, Ludovic Denoyer, Marc’Aurelio Ranzato, Y-Lan Boureau
2018· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · noneconsensus · none
192
citations
affno abstractunlabeled
Deep reinforcement learning with relational inductive biases
Vinícius Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, I. Babuschkin +10 more
2018· article· en· International Conference on Learning Representations· Neuroscience
distilled prediction:candidate · insufficient_payloadconsensus · none
136
citations
affunlabeled
Language GANs Falling Short
M. Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joëlle Pineau, Laurent Charlin
2020· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · noneconsensus · none
89
citations
affno abstractunlabeled
Learning to Learn with Conditional Class Dependencies
Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin
2018· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
55
citations
affunlabeled
Graph HyperNetworks for Neural Architecture Search.
Wenjun Zhang, Mengye Ren, Raquel Urtasun
2018· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · noneconsensus · none
53
citations
affunlabeled
Reinterpreting Importance-Weighted Autoencoders
Chris Cremer, Quaid Morris, David Duvenaud
2017· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
19
citations
affno abstractunlabeled
Finding Flatter Minima with SGD
Stanisław Jastrzȩbski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio +1 more
2018· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · noneconsensus · none
18
citations
affno abstractunlabeled
Modeling the Long Term Future in Model-Based Reinforcement Learning
Nan Rosemary Ke, Amanpreet Singh, Abdelaziz Touati, Anirudh Goyal, Yoshua Bengio, Devi Parikh +1 more
2018· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · noneconsensus · none
18
citations
affunlabeled
FigureQA: An Annotated Figure Dataset for Visual Reasoning
Samira Ebrahimi Kahou, Adam Atkinson, Vincent Michalski, Ákos Kádár, Adam Trischler, Yoshua Bengio
2017· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · sts+scholarly_communicationconsensus · none
16
citations
affunlabeled
Progressive Memory Banks for Incremental Domain Adaptation
Nabiha Asghar, Lili Mou, Kira A. Selby, Kevin D. Pantasdo, Pascal Poupart, Xin Jiang
2020· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Online Bayesian Transfer Learning for Sequential Data Modeling
Priyank Jaini, Zhitang Chen, Pablo Carbajal, Edith Law, Laura E. Middleton, Kayla Regan +4 more
2017· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
14
citations
affunlabeled
Convergence of Gradient Methods on Bilinear Zero-Sum Games
Guojun Zhang, Yaoliang Yu
2020· article· en· International Conference on Learning Representations· Decision Sciences
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · insufficient_payload
13
citations
affunlabeled
Conservative Safety Critics for Exploration
Homanga Bharadhwaj, Aviral Kumar, Nicholas Rhinehart, Sergey Levine, Florian Shkurti, Animesh Garg
2021· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Gradient-based Optimization of Neural Network Architecture.
Will Grathwohl, Elliot Creager, Seyed Kamyar Seyed Ghasemipour, Richard S. Zemel
2018· article· en· International Conference on Learning Representations· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Reproducibility in Machine Learning for Health
Matthew B. A. McDermott, Shirly Wang, Nikki Marinsek, Rajesh Ranganath, Marzyeh Ghassemi, Luca Foschini
2019· article· en· International Conference on Learning Representations· Computer Science
distilled 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
distilled prediction:candidate · insufficient_payloadconsensus · none
6
citations
affno abstractunlabeled
An Evaluation of Fisher Approximations Beyond Kronecker Factorization
César Laurent, Thomas George, Xavier Bouthillier, Nicolas Ballas, Pascal Vincent
2018· article· en· International Conference on Learning Representations· Physics and Astronomy
distilled prediction:candidate · insufficient_payloadconsensus · none
5
citations

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