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Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning.

, , , , , and . SIGKDD Explor., 23 (1): 32-41 (2021)

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FairDistillation: Mitigating Stereotyping in Language Models., and . ECML/PKDD (2), volume 13714 of Lecture Notes in Computer Science, page 638-654. Springer, (2022)Time to Take Emoji Seriously: They Vastly Improve Casual Conversational Models., and . BNAIC/BENELEARN, volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation., , , , and . CoRR, (2023)Algorithmic Tools in Public Employment Services: Towards a Jobseeker-Centric Perspective., , , , , and . FAccT, page 2138-2148. ACM, (2022)Measuring Shifts in Attitudes Towards COVID-19 Measures in Belgium Using Multilingual BERT., , and . CoRR, (2021)RobBERT-2022: Updating a Dutch Language Model to Account for Evolving Language Use., , and . CoRR, (2022)Survival of the Wittiest: Evolving Satire with Language Models., and . ICCC, page 82-86. Association for Computational Creativity (ACC), (2021)Learning to Rank Generated Portmanteaus., , and . ICCC, page 386-390. Association for Computational Creativity (ACC), (2021)How Far Can It Go? On Intrinsic Gender Bias Mitigation for Text Classification., , , and . EACL, page 3410-3425. Association for Computational Linguistics, (2023)RobBERT: a Dutch RoBERTa-based Language Model., , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 3255-3265. Association for Computational Linguistics, (2020)