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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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Proceedings of the AAAI Conference on Artificial Intelligence
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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.

1,046 results · 1 filter active ·
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20102025
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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.
1,046 works in the cohort · of 4,299,418page 6 of 21

Labels cover 0 of 1,046 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 1,046 of 1,046 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Regret Bounds for Batched Bandits
Hossein Esfandiari, Amin Karbasi, Abbas Mehrabian, Vahab Mirrokni
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Decision Sciences
distilled prediction:candidate · metaresearchconsensus · none
21
citations
afffundunlabeled
Memory-Augmented Monte Carlo Tree Search
Chenjun Xiao, Jincheng Mei, Martin Müller
2018· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
21
citations
affunlabeled
Artificial Counselor System for Stock Investment
Hadi NekoeiQachkanloo, Benyamin Ghojogh, Ali Saheb Pasand, Mark Crowley
2019· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Decision Sciences
distilled prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Matching with Dynamic Ordinal Preferences
Hadi Hosseini, Kate Larson, Robin Cohen
2015· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
21
citations
afffundunlabeled
Market-Based Explanations of Collective Decisions
Dominik Peters, Grzegorz Pierczyński, Nisarg Shah, Piotr Skowron
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Economics, Econometrics and Finance
distilled prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Using Semantic Cues to Learn Syntax
Tahira Naseem, Regina Barzilay
2011· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Warmstarting of Model-Based Algorithm Configuration
Marius Lindauer, Frank Hutter
2018· preprint· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
20
citations
affunlabeled
DIBS: Diversity Inducing Information Bottleneck in Model Ensembles
Samarth Sinha, Homanga Bharadhwaj, Anirudh Goyal, Hugo Larochelle, Animesh Garg, Florian Shkurti
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Congestion Graphs for Automated Time Predictions
Arik Senderovich, J. Christopher Beck, Avigdor Gal, Matthias Weidlich
2019· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Residual Continual Learning
Janghyeon Lee, Donggyu Joo, Hyeong Gwon Hong, Junmo Kim
2020· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Meta-Learning for Online Update of Recommender Systems
Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Enriching Non-Parametric Bidirectional Search Algorithms
Shahaf Shperberg, Ariel Felner, Nathan Sturtevant, Solomon Eyal Shimony, Avi Hayoun
2019· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
19
citations
afffundunlabeled
DisGUIDE: Disagreement-Guided Data-Free Model Extraction
Jonathan Rosenthal, Eric Enouen, Hung Viet Pham, Lin Tan
2023· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
19
citations
affunlabeled
Pixel-Wise Warping for Deep Image Stitching
Hyeokjun Kweon, Hyeonseong Kim, Yoonsu Kang, Young-Ho Yoon, Wooseong Jeong, Kuk‐Jin Yoon
2023· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Deep Convolutional Sum-Product Networks
Cory J. Butz, Jhonatan S. Oliveira, André E. dos Santos, André Teixeira
2019· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
18
citations
afffundunlabeled
Searching Without a Heuristic: Efficient Use of Abstraction
Bradford Larsen, Ethan Burns, Wheeler Ruml, Robert C. Holte
2010· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
18
citations
affunlabeled
Revisiting the Importance of Amplifying Bias for Debiasing
Jungsoo Lee, Jeong-Hoon Park, Daeyoung Kim, Juyoung Lee, Edward Choi, Jaegul Choo
2023· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
17
citations
afffundunlabeled
Predicting Satisfiability at the Phase Transition
Lin Xu, Holger H. Hoos, Kevin Leyton‐Brown
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · noneconsensus · none
17
citations
afffundunlabeled
Fairness-Aware Structured Pruning in Transformers
Abdelrahman Zayed, Gonçalo Mordido, Samira Shabanian, Ioana Baldini, Sarath Chandar
2024· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Engineering
distilled prediction:candidate · noneconsensus · none
17
citations

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