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1
On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
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On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)

Washim Uddin Mondal ; Agarwal, Mridul ; Aggarwal, Vaneet ; Ukkusuri, Satish V

arXiv.org, 2022-01 [Peer Reviewed Journal]

Ithaca: Cornell University Library, arXiv.org

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2
From Word To Sense Embeddings: A Survey on Vector Representations of Meaning
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From Word To Sense Embeddings: A Survey on Vector Representations of Meaning

Camacho-Collados, Jose ; Pilehvar, Mohammad Taher

The Journal of artificial intelligence research, 2018-12, Vol.63, p.743-788 [Peer Reviewed Journal]

San Francisco: AI Access Foundation

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3
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary
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Article
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SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary

Fernandez, Alberto ; Garcia, Salvador ; Herrera, Francisco ; Chawla, Nitesh V.

The Journal of artificial intelligence research, 2018-04, Vol.61, p.863-905 [Peer Reviewed Journal]

San Francisco: AI Access Foundation

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4
How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy
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How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

Ponomareva, Natalia ; Hazimeh, Hussein ; Kurakin, Alex ; Xu, Zheng ; Denison, Carson ; McMahan, H. Brendan ; Vassilvitskii, Sergei ; Chien, Steve ; Thakurta, Abhradeep Guha

The Journal of artificial intelligence research, 2023-01, Vol.77, p.1113-1201 [Peer Reviewed Journal]

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5
Confident Learning: Estimating Uncertainty in Dataset Labels
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Confident Learning: Estimating Uncertainty in Dataset Labels

Northcutt, Curtis ; Jiang, Lu ; Chuang, Isaac

The Journal of artificial intelligence research, 2021-04, Vol.70, p.1373-1411 [Peer Reviewed Journal]

San Francisco: AI Access Foundation

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6
Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text
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Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text

Gehrmann, Sebastian ; Clark, Elizabeth ; Sellam, Thibault

The Journal of artificial intelligence research, 2023-01, Vol.77, p.103-166 [Peer Reviewed Journal]

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7
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
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Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

Gatt, Albert ; Krahmer, Emiel

The Journal of artificial intelligence research, 2018-01, Vol.61, p.65-170 [Peer Reviewed Journal]

San Francisco: AI Access Foundation

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8
Towards Continual Reinforcement Learning: A Review and Perspectives
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Towards Continual Reinforcement Learning: A Review and Perspectives

Khetarpal, Khimya ; Riemer, Matthew ; Rish, Irina ; Precup, Doina

The Journal of artificial intelligence research, 2022-01, Vol.75, p.1401-1476 [Peer Reviewed Journal]

San Francisco: AI Access Foundation

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9
A Survey of Cross-lingual Word Embedding Models
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A Survey of Cross-lingual Word Embedding Models

Ruder, Sebastian ; Vulić, Ivan ; Søgaard, Anders

The Journal of artificial intelligence research, 2019-01, Vol.65, p.569-631 [Peer Reviewed Journal]

San Francisco: AI Access Foundation

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The Arcade Learning Environment: An Evaluation Platform for General Agents
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The Arcade Learning Environment: An Evaluation Platform for General Agents

Bellemare, M. G. ; Naddaf, Y. ; Veness, J. ; Bowling, M.

The Journal of artificial intelligence research, 2013-01, Vol.47, p.253-279 [Peer Reviewed Journal]

San Francisco: AI Access Foundation

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