pang wei koh
Work on interpreting these black-box models has focused on un- derstanding how a fixed model leads to particular predic- tions eg by locally fitting a simpler model around the test. Pang Wei Koh AD Scientific Index 2022 Stanford University Engineering Technology Computer Science Aug 18 2022 According to Total H.
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Pang Weis research focuses on making machine learning models interpretable.
. Wayne Pang Wei Ji Associate Director. Representation Engineering with Natural Language Explanations Shikhar Murty Pang Wei Koh Percy Liang Proceedings of the 58th Annual. Collection of Pang wei koh slideshows.
Understanding model behavior debugging models. Pdf bib abs E xp BERT. He studies the theory and practice of building reliable machine learning systems.
Papers by Pang Wei Koh with links to code and results. Articles Cited by Public access Co-authors. Browse State-of-the-Art Datasets.
Presentation Survey Quiz Lead. Sort by citations Sort by year Sort by title. International conference on machine learning 1885.
Pang Wei Koh is part of Stanford Profiles official site for faculty postdocs students and staff information Expertise Bio Research Publications and more. Papers by Pang Wei Koh with links to code and results. Machine learning Computational biology.
088 258 003 E-mail. Concept Bottleneck Models Proceedings of Machine Learning Research Concept Bottleneck Models Pang Wei Koh Thao Nguyen Yew Siang Tang Stephen Mussmann Emma Pierson. Understanding black-box predictions via influence functions.
Semantic Scholar profile for Pang Wei Koh with 562 highly influential citations and 30 scientific research papers. Read Pang Wei Kohs latest research browse their coauthors research and play around with their algorithms. The site facilitates research and.
In this paper we use influence functions -- a classic technique from robust statistics --. Jack Chin Khon Ket Associate Director. Pang Wei Koh is a third-year PhD student in Computer Science at Stanford University advised by Percy Liang.
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PW Koh P Liang. Verified email at csstanfordedu - Homepage. Pang Wei Koh is a PhD student at Stanford advised by Percy Liang.
Arkitek Daniel Koh Tel. Pang Wei Koh Percy Liang How can we explain the predictions of a black-box model. View Pang Wei Kohs profile machine learning models research papers and code.
Get our free extension to see links to code for. See more researchers and engineers like Pang Wei Koh. On linear models and convolutional neural networks we demonstrate that influence functions are useful for multiple purposes.
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