基本信息
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Career Trajectory
Bio
At the moment, in the era of deep learning, I am very excited about working towards developing frameworks which can help detailed profiling of different kinds of neural network models, i.e., understand their learning dynamics and the factors that affect what they learn. More generally, I like to work in the areas of science where we connect the dots between different theories in different fields.
In my blog here, I will be writing about the small steps I am taking, with the help of my collaborators and colleagues, towards these goals.
In my blog here, I will be writing about the small steps I am taking, with the help of my collaborators and colleagues, towards these goals.
Research Interests
Papers共 13 篇Author StatisticsCo-AuthorSimilar Experts
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时间
引用量
主题
期刊级别
合作者
合作机构
CoRR (2023)
ICLR 2023 (2023)
arXiv (Cornell University) (2022)
58TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2020) (2020): 4190-4197
AAAIno. 05 (2020): 9090-9097
BLACKBOXNLP WORKSHOP ON ANALYZING AND INTERPRETING NEURAL NETWORKS FOR NLP AT ACL 2019 (2019): 191-203
CoRR (2019): 44-61
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