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MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection., , , , , , and . WWW, page 2507-2513. ACM / IW3C2, (2020)Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning., , , , , , , and . ACL (Findings), page 768-777. Association for Computational Linguistics, (2023)The UTexas system for TAC SM-KBP task 3: Probabilistic generation of coherent hypotheses., , and . TAC, NIST, (2018)Implicit Argument Prediction as Reading Comprehension., and . AAAI, page 6284-6291. AAAI Press, (2019)DIWIFT: Discovering Instance-wise Influential Features for Tabular Data., , , , , , , , and . CoRR, (2022)DIWIFT: Discovering Instance-wise Influential Features for Tabular Data., , , , , , , , and . WWW, page 1673-1682. ACM, (2023)Unsupervised Contrast-Consistent Ranking with Language Models., , , , and . EACL (1), page 900-914. Association for Computational Linguistics, (2024)A General Knowledge Distillation Framework for Counterfactual Recommendation via Uniform Data., , , , , and . SIGIR, page 831-840. ACM, (2020)Counterfactual learning for recommender system., , , , , , , and . RecSys, page 568-569. ACM, (2020)Bounding System-Induced Biases in Recommender Systems with a Randomized Dataset., , , , , , , , and . ACM Trans. Inf. Syst., 41 (4): 108:1-108:26 (October 2023)