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I am passionate about research involving the theoretical as well as the applied study of deep learning and natural language processing. My overarching research aim is to design optimization techniques and training strategies that reduce overparameterization in deep neural networks, improve worst-group performance, and make them robust to adversarial perturbations. I am addressing this research problem through the principled lens of auxiliary learning, meta-learning, distributionally robust optimization, multi-task learning, and training dynamics. I firmly believe that studying and analyzing the data at hand is of paramount importance before designing a computational model.
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论文共 15 篇作者统计合作学者相似作者
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Conference of the European Chapter of the Association for Computational Linguistics (2024): 1988-2001
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EMNLP 2023 (2023): 6762-6778
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Leonie Weissweiler,Valentin Hofmann, Anjali Kantharuban,Anna Cai, Ritam Dutt,Amey Hengle,Anubha Kabra,Atharva Kulkarni, Abhishek Vijayakumar, Haofei Yu,Hinrich Schütze,Kemal Oflazer,
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