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Relevance effect: Exploiting Bayesian networks to improve supervised learning.

, , and . IJCNN, page 2887-2893. IEEE, (2017)

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Kernel subspace pursuit for sparse regression., and . Pattern Recognit. Lett., (2016)Relevance effect: Exploiting Bayesian networks to improve supervised learning., , and . IJCNN, page 2887-2893. IEEE, (2017)The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI., , , , , , , , , and 8 other author(s). CoRR, (2023)Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences., and . COLING, page 779-785. International Committee on Computational Linguistics, (2022)Improving the tracking ability of KRLS using Kernel Subspace Pursuit., and . ICASSP, page 4543-4547. IEEE, (2014)ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings., , , , , , and . CoRR, (2023)PersonaLLM: Investigating the Ability of GPT-3.5 to Express Personality Traits and Gender Differences., , , and . CoRR, (2023)Proceedings of the ACL-IJCNLP 2021 Student Research Workshop., , , and . ACL (student), Association for Computational Linguistics, (2021)Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs., , and . COLING, page 2625-2634. ACL, (2016)Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models., , and . ACL (Findings), page 4581-4597. Association for Computational Linguistics, (2023)