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Shiyu Chang
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Shiyu Chang is a research scientist at the MIT-IBM Watson AI Lab, working closely with Prof. Regina Barzilay and Prof. Tommi S. Jaakkola. His research focuses on machine learning and its applications in natural language processing and computer vision.
Most recently, he has been studying how machine predictions can be made more interpretable to humans, and how human intuition and rationalization can improve AI transferability, data efficiency, and adversarial robustness.
Most recently, he has been studying how machine predictions can be made more interpretable to humans, and how human intuition and rationalization can improve AI transferability, data efficiency, and adversarial robustness.
Papers127 papers
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ICML, pp.7836-7846, (2020)
NeurIPS, (2020)
NeurIPS, (2020)
empirical methods in natural language processing, pp.7755-7765, (2020)
NeurIPS, (2020)
ICML 2020, (2020)
ICLR, (2020)
Feng Yufei,Yu Mo,Xiong Wenhan,Guo Xiaoxiao, Huang Junjie,Chang Shiyu, Campbell Murray, Greenspan Michael,Zhu Xiaodan
CVPR, pp.696-705, (2020)
ICML, pp.1014-1023, (2020)
ACL (1), pp.4258-4264, (2019)
MRQA@EMNLP, pp.48-52, (2019)
Meeting of the Association for Computational Linguistics, (2019)
CVPR, (2019)
arXiv preprint arXiv:1908.04877, (2019)
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