基本信息
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职业迁徙
个人简介
I've explored next-generation machine learning technologies in various fields. Publications through my PhD and R&D are involved with
neural scene representations with interpretability (arXiv 2022)
analyzing influence of training data efficiently (SustaiNLP 2020, JNLP 2021)
subnetworks for building diverse models at once (BigScience 2022, SustaiNLP 2020, JNLP 2021)
neural networks with random parameters (SustaiNLP 2020, JNLP 2021, Takase and me. NeurIPS 2020)
controlling robots/agents with language or other interactions (ICRA 2018 [Best Paper in HRI], Fu et al. ViGIL 2019, Arakawa et al. RT-DUNE 2019, GTC 2019)
model-based data augmentation (NAACL 2018)
entity-centric representations (NAACL 2016, IJCNLP 2017)
研究兴趣
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ACM Conference on Human Factors in Computing Systems (CHI)pp.1-21, (2022)
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