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Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations.

Y. Resheff, Y. Elazar, M. Shahar, and O. Shalom. ICPRAM, page 476-482. SciTePress, (2019)

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oLMpics - On what Language Model Pre-training Captures.A. Talmor, Y. Elazar, Y. Goldberg, and J. Berant. CoRR, (2019)Erratum: Measuring and Improving Consistency in Pretrained Language Models.Y. Elazar, N. Kassner, S. Ravfogel, A. Ravichander, E. Hovy, H. Schütze, and Y. Goldberg. Trans. Assoc. Comput. Linguistics, (2021)OLMo: Accelerating the Science of Language Models.D. Groeneveld, I. Beltagy, P. Walsh, A. Bhagia, R. Kinney, O. Tafjord, A. Jha, H. Ivison, I. Magnusson, Y. Wang and 33 other author(s). CoRR, (2024)It's not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT.H. Gonen, S. Ravfogel, Y. Elazar, and Y. Goldberg. BlackboxNLP@EMNLP, page 45-56. Association for Computational Linguistics, (2020)The Bias Amplification Paradox in Text-to-Image Generation.P. Seshadri, S. Singh, and Y. Elazar. CoRR, (2023)State-of-the-art generalisation research in NLP: a taxonomy and review.D. Hupkes, M. Giulianelli, V. Dankers, M. Artetxe, Y. Elazar, T. Pimentel, C. Christodoulopoulos, K. Lasri, N. Saphra, A. Sinclair and 10 other author(s). CoRR, (2022)A Survey on Data Selection for Language Models.A. Albalak, Y. Elazar, S. Xie, S. Longpre, N. Lambert, X. Wang, N. Muennighoff, B. Hou, L. Pan, H. Jeong and 4 other author(s). CoRR, (2024)Text-based NP Enrichment.Y. Elazar, V. Basmova, Y. Goldberg, and R. Tsarfaty. Trans. Assoc. Comput. Linguistics, (2022)What's In My Big Data?Y. Elazar, A. Bhagia, I. Magnusson, A. Ravichander, D. Schwenk, A. Suhr, P. Walsh, D. Groeneveld, L. Soldaini, S. Singh and 3 other author(s). CoRR, (2023)Paloma: A Benchmark for Evaluating Language Model Fit.I. Magnusson, A. Bhagia, V. Hofmann, L. Soldaini, A. Jha, O. Tafjord, D. Schwenk, E. Walsh, Y. Elazar, K. Lo and 6 other author(s). CoRR, (2023)

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Disambiguation of "Elazar, Yanai"

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Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations.

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Disambiguation of "Elazar, Yanai"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations.

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Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations.