Zachary C. Lipton

Citirano

	Sve	Od 2020.
Citati	30335	25485
H-indeks	60	54
i10-indeks	130	126

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Anima AnandkumarCalifornia Institute of Technology and NVIDIAPotvrđena adresa e-pošte na caltech.edu
Charles ElkanProfessor of Computer Science, University of California, San DiegoPotvrđena adresa e-pošte na ucsd.edu
John BerkowitzApplePotvrđena adresa e-pošte na apple.com
Alex SmolaBoson AIPotvrđena adresa e-pošte na smola.org
Kamyar AzizzadenesheliNvidiaPotvrđena adresa e-pošte na nvidia.com
Saurabh GargMistral AI | Past: CMU ML PhDPotvrđena adresa e-pošte na andrew.cmu.edu
Aston ZhangLlama team, MetaPotvrđena adresa e-pošte na meta.com
Julian McAuleyProfessor, UC San DiegoPotvrđena adresa e-pošte na eng.ucsd.edu
Dave KaleData Science Manager, LiteratiPotvrđena adresa e-pošte na literati.com
Divyansh KaushikVice President, Beacon Global StrategiesPotvrđena adresa e-pošte na bgsdc.com
Sivaraman BalakrishnanCarnegie Mellon UniversityPotvrđena adresa e-pošte na stat.cmu.edu
Mu LiAmazonPotvrđena adresa e-pošte na amazon.com
Bhuwan DhingraAssistant Professor, Computer Science, Duke UniversityPotvrđena adresa e-pošte na cs.duke.edu
Jianfeng GaoMicrosoft Research, RedmondPotvrđena adresa e-pošte na microsoft.com
Lihong Li (李力鸿)AmazonPotvrđena adresa e-pošte na amazon.com
Danish PruthiIndian Institute of Science, BangalorePotvrđena adresa e-pošte na iisc.ac.in
Zico KolterCarnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UPotvrđena adresa e-pošte na cs.cmu.edu
Liu LeqiUT AustinPotvrđena adresa e-pošte na princeton.edu
Tommaso FurlanelloLeading Science at HK3 LabPotvrđena adresa e-pošte na usc.edu

Prati

Zachary C. Lipton

Raj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ Abridge

Potvrđena adresa e-pošte na cmu.edu - Početna stranica

Machine Learning Healthcare Technology & Society NLP Robustness & Adaptivity


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
The Mythos of Model Interpretability ZC Lipton Communications of the ACM (CACM), 2016	6413*	2016
A critical review of recurrent neural networks for sequence learning ZC Lipton, J Berkowitz, C Elkan arXiv preprint arXiv:1506.00019, 2015	3778	2015
Dive into Deep Learning AJS Aston Zhang, Zachary C. Lipton, Mu Li pre-print, 2020	1786*	2020
Learning to Diagnose with LSTM Recurrent Neural Networks ZC Lipton, DC Kale, C Elkan, R Wetzell International Conference on Learning Representations (ICLR), 2015	1541	2015
Born again neural networks T Furlanello, ZC Lipton, M Tschannen, L Itti, A Anandkumar International Conference on Machine Learning (ICML), 2018	1254	2018
Learning robust global representations by penalizing local predictive power H Wang, S Ge, EP Xing, ZC Lipton Advances in Neural Information Processing Systems (NeurIPS), 2019	1006	2019
Stochastic activation pruning for robust adversarial defense GS Dhillon, K Azizzadenesheli, ZC Lipton, J Bernstein, J Kossaifi, ... International Conference on Learning Representations (ICLR), 2018	714	2018
Detecting and Correcting for Label Shift with Black Box Predictors ZC Lipton, YX Wang, A Smola International Conference on Machine Learning (ICML), 2018	644	2018
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data D Kaushik, E Hovy, ZC Lipton International Conference on Learning Representations (ICLR), 2020	635	2020
Deep Active Learning for Named Entity Recognition Y Shen, H Yun, ZC Lipton, Y Kronrod, A Anandkumar International Conference on Learning Representations (ICLR), 2018	588	2018
Modeling Missing Data in Clinical Time Series with RNNs ZC Lipton, DC Kale, R Wetzel Machine Learning for Healthcare (MLHC), 2016	588*	2016
What is the Effect of Importance Weighting in Deep Learning? J Byrd, Z Lipton International Conference on Machine Learning (ICML), 872-881, 2019	587	2019
Optimal thresholding of classifiers to maximize F1 measure ZC Lipton, C Elkan, B Naryanaswamy European Conference on Machine Learning (ECML), 225-239, 2014	558	2014
Failing loudly: An empirical study of methods for detecting dataset shift S Rabanser, S Günnemann, ZC Lipton Advances in Neural Information Processing Systems (NeurIPS), 2018	426	2018
Differential privacy and machine learning: a survey and review Z Ji, ZC Lipton, C Elkan arXiv preprint arXiv:1412.7584, 2014	406	2014
Troubling Trends in Machine Learning Scholarship ZC Lipton, J Steinhardt Communications of the ACM 62 (6), 45-53, 2019	398*	2019
Combating Adversarial Misspellings with Robust Word Recognition D Pruthi, B Dhingra, ZC Lipton Association for Computational Linguistics (ACL), 2019	358	2019
Context Matters: Refining Object Detection in Video with Recurrent Neural Networks S Tripathi, ZC Lipton, S Belongie, T Nguyen British Machine Vision Conference (BMVC), 2016	342	2016
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	282*	2018
Does mitigating ML’s impact disparity require treatment disparity? ZC Lipton, A Chouldechova, J McAuley Advances in Neural Information Processing Systems (NeurIPS), 2018	280	2018

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