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The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks.

, , , and . COLING, page 3652-3659. International Committee on Computational Linguistics, (2020)

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M3A: Model, MetaModel, and Anomaly Detection in Web Searches., , , , , and . CoRR, (2016)Compressing the Incompressible with ISABELA: In-situ Reduction of Spatio-temporal Data., , , , , , and . Euro-Par (1), volume 6852 of Lecture Notes in Computer Science, page 366-379. Springer, (2011)19th International Workshop on Mining and Learning with Graphs (MLG)., , , , and . KDD, page 5882-5883. ACM, (2023)Large-Scale Graph Neural Networks: The Past and New Frontiers., , , , , and . KDD, page 5835-5836. ACM, (2023)Imbalanced Graph Classification via Graph-of-Graph Neural Networks., , , and . CIKM, page 2067-2076. ACM, (2022)Social Factors in Closed-Network Content Consumption., , , and . CIKM, page 595-604. ACM, (2020)EdgeCentric: Anomaly Detection in Edge-Attributed Networks., , , , , , , and . ICDM Workshops, page 327-334. IEEE Computer Society, (2016)Online Communication Shifts in the Midst of the Covid-19 Pandemic: A Case Study on Snapchat., , , , , and . ICWSM, page 830-840. AAAI Press, (2021)CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms., , , , , , and . ICWSM, page 117-128. AAAI Press, (2021)Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media?, , , , , , and . ICWSM, page 393-404. AAAI Press, (2022)