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Been Kim
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I am interested in designing high-performance machine learning methods that make sense to humans
My focus is building interpretability method for already-trained models or building inherently interpretable models
My focus is building interpretability method for already-trained models or building inherently interpretable models
Papers48 papers
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NIPS 2020, (2020)
ICML, pp.5338-5348, (2020)
NIPS 2020, (2020)
Carrie J. Cai, Emily Reif, Narayan Hegde, Jason D. Hipp,Been Kim, Daniel Smilkov,Martin Wattenberg,Fernanda B. Viégas,Gregory S. Corrado, Martin C. Stumpe, Michael Terry
CHI, (2019): 4
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 9734-9745
Cited by42EIBibtex
arXiv preprint arXiv:1907.07165, (2019)
national conference on artificial intelligence, no. 1 (2019): 59-67
NeurIPS, pp.8592-8600, (2019)
Cited by13EIBibtex
arXiv: Learning, (2019)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 9273-9282
Cited by44EIBibtex
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019)
arXiv: Machine Learning, (2019)
arXiv: Learning, (2019)
international conference on machine learning, pp.2673-2682, (2018)
Pieter-Jan Kindermans, Sara Hooker,Julius Adebayo, Maximilian Alber,Kristof T. Schütt,Sven Dähne,Dumitru Erhan,Been Kim
arXiv: Machine Learning, (2018): 267-280
Advances in Neural Information Processing Systems, pp.10159-10168, (2018)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), (2018): 5541-5552
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