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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 12 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. 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
SeTformer Is What You Need for Vision and Language
Pourya Shamsolmoali, Masoumeh Zareapoor, Éric Granger, Michael Felsberg
2024· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Learning Expected Emphatic Traces for Deep RL
Ray Jiang, Shangtong Zhang, Veronica Chelu, Adam White, Hado van Hasselt
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
UniMuMo: Unified Text, Music, and Motion Generation
Yang Han, Kun Su, Yutong Zhang, Jiaben Chen, Kaizhi Qian, Gaowen Liu +1 more
2025· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Multitask Generalized Eigenvalue Program
Boyu Wang, Joëlle Pineau, Borja Balle
2016· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Planning to Avoid Side Effects
Toryn Q. Klassen, Sheila A. McIlraith, Christian Muise, Jarvis Xu
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
LGML: Logic Guided Machine Learning (Student Abstract)
Joseph Scott, Maysum Panju, Vijay Ganesh
2020· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Solving Common-Payoff Games with Approximate Policy Iteration
Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch +3 more
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Handling Slice Permutations Variability in Tensor Recovery
Jingjing Zheng, Xiaoqin Zhang, Wenzhe Wang, Xianta Jiang
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Mathematics
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Hypernetworks for Zero-Shot Transfer in Reinforcement Learning
Sahand Rezaei-Shoshtari, Charlotte Morissette, Francois R. Hogan, Gregory Dudek, David Meger
2023· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
PIDS: An Intelligent Electric Power Management Platform
Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen, Lizhen Cui +2 more
2020· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
A SAT-based Resolution of Lam's Problem
Curtis Bright, Kevin K. H. Cheung, Brett Stevens, Ilias Kotsireas, Vijay Ganesh
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Decompose the Sounds and Pixels, Recompose the Events
Varshanth R. Rao, Md Ibrahim Khalil, Haoda Li, Peng Dai, Juwei Lu
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Cost-Based Query Optimization via AI Planning
Nathan Robinson, Sheila A. McIlraith, David Toman
2014· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Decentralized Mean Field Games
Sriram Ganapathi Subramanian, Matthew E. Taylor, Mark Crowley, Pascal Poupart
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Decision Sciences
machine prediction:candidate · noneconsensus · none
6
citations
fundno affunlabeled
Classifier-Agnostic Saliency Map Extraction
Konrad Żołna, Krzysztof J. Geras, Kyunghyun Cho
2019· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Using Conditional Independence for Belief Revision
Matthew James Lynn, James P. Delgrande, Pavlos Peppas
2022· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
On the Optimal Efficiency of Cost-Algebraic A*
Robert C. Holte, Sandra Zilles
2019· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Better Peer Grading through Bayesian Inference
Hedayat Zarkoob, Greg d'Eon, Lena Podina, Kevin Leyton‐Brown
2023· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Implicit Kernel Attention
Kyungwoo Song, Yohan Jung, Dong‐Jun Kim, Il‐Chul Moon
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Dataset Evolver: An Interactive Feature Engineering Notebook
Fatemeh Nargesian, Udayan Khurana, Tejaswini Pedapati, Horst Samulowitz, Deepak S. Turaga
2018· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
GENNAPE: Towards Generalized Neural Architecture Performance Estimators
Keith G. Mills, Fred X. Han, Jialin Zhang, Fabián A. Chudak, Ali Safari Mamaghani, Mohammad Salameh +3 more
2023· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
The Effect of Diversity in Meta-Learning
Ramnath Kumar, Tristan Deleu, Yoshua Bengio
2023· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
How RL Agents Behave When Their Actions Are Modified
Eric Langlois, Tom Everitt
2021· preprint· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Analogy Training Multilingual Encoders
Nicolas Garneau, Mareike Hartmann, Anders Sandholm, Sebastian Ruder, Ivan Vulić, Anders Søgaard
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Policy Search with High-Dimensional Context Variables
Voot Tangkaratt, Herke van Hoof, Simone Parisi, Gerhard Neumann, Jan Peters, Masashi Sugiyama
2017· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Learning With Options That Terminate Off-Policy
Anna Harutyunyan, Peter Vrancx, Pierre‐Luc Bacon, Doina Precup, Ann Nowé
2018· preprint· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations

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