Zachary C. Lipton - Google Scholar

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	All	Since 2015
Citations	6080	6055
h-index	28	28
i10-index	45	45

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Charles ElkanProfessor of Computer Science, University of California, San DiegoVerified email at ucsd.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAVerified email at caltech.edu
Julian McAuleyAssociate Professor, UC San DiegoVerified email at eng.ucsd.edu
David KaleSenior Machine Learning Scientist, NetflixVerified email at netflix.com
John BerkowitzIn-Q-Tel LabsVerified email at iqt.org
Jianfeng GaoMicrosoft Research, RedmondVerified email at microsoft.com
Lihong Li (李力鸿)Research Scientist, GoogleVerified email at google.com
Li DengChief AI Officer, CitadelVerified email at ieee.org
Kamyar AzizzadenesheliPostdoctoral fellow at CaltechVerified email at caltech.edu
Tommaso FurlanelloPhd Candidate, University of Southern CaliforniaVerified email at usc.edu
Jean KossaifiSenior Research Scientist at NVIDIAVerified email at nvidia.com
Aran KhannaHarvard University, Amazon AIVerified email at arankhanna.com
Faisal Ahmed, PhDSUNY Stony BrookVerified email at cs.stonybrook.edu
Balakrishnan NarayanaswamyAWS AI, AmazonVerified email at amazon.com
Alex SmolaAmazon Web ServicesVerified email at smola.org
Subarna TripathiIntel LabsVerified email at ucsd.edu
Divyansh KaushikPhD Student at Language Technologies Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Laurent IttiProfessor of Computer Science, University of Southern CaliforniaVerified email at usc.edu
Jacob SteinhardtStanford UniversityVerified email at cs.stanford.edu
Bhuwan DhingraLanguage Technologies Institute, Carnegie Mellon UniversityVerified email at andrew.cmu.edu

Zachary C. Lipton

Assistant Professor of Operations Research & Machine Learning at CMU

Verified email at cmu.edu - Homepage

Machine Learning Healthcare Technology & Society Natural Language Processing Robustness & Causality


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The Mythos of Model Interpretability ZC Lipton Communications of the ACM (CACM) [Prev. ICML Workshop on Human …, 2016	1423	2016
A critical review of recurrent neural networks for sequence learning ZC Lipton, J Berkowitz, C Elkan arXiv preprint arXiv:1506.00019, 2015	1252	2015
Learning to Diagnose with LSTM Recurrent Neural Networks ZC Lipton, DC Kale, C Elkan, R Wetzell International Conference on Learning Representations (ICLR), 2015	688	2015
Modeling Missing Data in Clinical Time Series with RNNs ZC Lipton, DC Kale, R Wetzel Machine Learning for Healthcare (MLHC), 2016	217*	2016
Born again neural networks T Furlanello, ZC Lipton, M Tschannen, L Itti, A Anandkumar International Conference on Machine Learning (ICML), 2018	212	2018
Stochastic activation pruning for robust adversarial defense GS Dhillon, K Azizzadenesheli, ZC Lipton, J Bernstein, J Kossaifi, ... International Conference on Learning Representations (ICLR), 2018	205	2018
Optimal thresholding of classifiers to maximize F1 measure ZC Lipton, C Elkan, B Naryanaswamy European Conference on Machine Learning (ECML), 225-239, 2014	179	2014
Deep Active Learning for Named Entity Recognition Y Shen, H Yun, ZC Lipton, Y Kronrod, A Anandkumar International Conference on Learning Representations (ICLR), 2018	128	2018
Differential privacy and machine learning: a survey and review Z Ji, ZC Lipton, C Elkan arXiv preprint arXiv:1412.7584, 2014	128	2014
Efficient exploration for dialogue policy learning with BBQ-networks ZC Lipton, J Gao, L Li, X Li, F Ahmed, L Deng Association for the Advancement of Artificial Intelligence (AAAI), 2018	121*	2018
Troubling Trends in Machine Learning Scholarship ZC Lipton, J Steinhardt Communications of the ACM 62 (6), 45-53, 2019	111	2019
Precise Recovery of Latent Vectors from Generative Adversarial Networks ZC Lipton, S Tripathi ICLR Workshop 2017, 2017	90	2017
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks D Kaushik, ZC Lipton Empirical Methods in Natural Language Processing (EMNLP), 2018	77	2018
Does mitigating ML’s impact disparity require treatment disparity? ZC Lipton, A Chouldechova, J McAuley Advances in Neural Information Processing Systems (NIPS), 2018	72*	2018
A user simulator for task-completion dialogues X Li, ZC Lipton, B Dhingra, L Li, J Gao, YN Chen arXiv preprint arXiv:1612.05688, 2016	72	2016
Semantically decomposing the latent spaces of generative adversarial networks C Donahue, A Balsubramani, J McAuley, ZC Lipton International Conference on Learning Representations (ICLR), 2018	70	2018
Detecting and Correcting for Label Shift with Black Box Predictors ZC Lipton, YX Wang, A Smola International Conference on Machine Learning (ICML), 2018	68	2018
Generative concatenative nets jointly learn to write and classify reviews ZC Lipton, S Vikram, J McAuley arXiv preprint arXiv:1511.03683, 2015	67*	2015
Dive into deep learning A Zhang, ZC Lipton, M Li, AJ Smola Unpublished Draft. Retrieved 19, 2019, 2019	61*	2019
Learning From Noisy Singly-labeled Data A Khetan, ZC Lipton, A Anandkumar International Conference on Learning Representations (ICLR), 2018	60	2018

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