Zachary C. Lipton

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Charles ElkanProfessor of Computer Science, University of California, San DiegoPotvrđena adresa e-pošte na ucsd.edu
Anima AnandkumarCalifornia Institute of Technology and NVIDIAPotvrđena adresa e-pošte na caltech.edu
Julian McAuleyProfessor, UC San DiegoPotvrđena adresa e-pošte na eng.ucsd.edu
David KaleSenior Machine Learning Scientist, NetflixPotvrđena adresa e-pošte na netflix.com
Kamyar AzizzadenesheliAssistant Professor at Purdue UniversityPotvrđena adresa e-pošte na purdue.edu
John BerkowitzIn-Q-Tel LabsPotvrđena adresa e-pošte na iqt.org
Alex SmolaAmazon Web ServicesPotvrđena adresa e-pošte na smola.org
Jianfeng GaoMicrosoft Research, RedmondPotvrđena adresa e-pošte na microsoft.com
Lihong Li (李力鸿)AmazonPotvrđena adresa e-pošte na amazon.com
Divyansh KaushikPhD Student at Language Technologies Institute, Carnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Bhuwan DhingraAssistant Professor, Computer Science, Duke UniversityPotvrđena adresa e-pošte na cs.duke.edu
Li DengChief AI Officer, Citadel (former)Potvrđena adresa e-pošte na ieee.org
Tommaso FurlanelloThinking and studying by myself.Potvrđena adresa e-pošte na usc.edu
Danish PruthiCarnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Mu LiAmazonPotvrđena adresa e-pošte na amazon.com
Eric XingPresident at Mohamed bin Zayed University of AI, Professor of Computer Science, Carnegie Mellon UPotvrđena adresa e-pošte na cs.cmu.edu
Jean KossaifiSenior Research Scientist at NVIDIAPotvrđena adresa e-pošte na nvidia.com
Aran KhannaReserved.ai, Harvard University, Amazon AIPotvrđena adresa e-pošte na arankhanna.com
Graham NeubigAssociate Professor of Computer Science, Carnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Alexandra ChouldechovaAssociate Professor of Statistics & Public Policy @ Heinz College, Carnegie Mellon UniversityPotvrđena adresa e-pošte na andrew.cmu.edu

Prati

Zachary C. Lipton

Assistant Professor of Machine Learning at CMU

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

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


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	3183*	2016
A critical review of recurrent neural networks for sequence learning ZC Lipton, J Berkowitz, C Elkan arXiv preprint arXiv:1506.00019, 2015	2276	2015
Learning to Diagnose with LSTM Recurrent Neural Networks ZC Lipton, DC Kale, C Elkan, R Wetzell International Conference on Learning Representations (ICLR), 2015	1098	2015
Born again neural networks T Furlanello, ZC Lipton, M Tschannen, L Itti, A Anandkumar International Conference on Machine Learning (ICML), 2018	644	2018
Dive into Deep Learning AJS Aston Zhang, Zachary C. Lipton, Mu Li pre-print, 2020	447*	2020
Stochastic activation pruning for robust adversarial defense GS Dhillon, K Azizzadenesheli, ZC Lipton, J Bernstein, J Kossaifi, ... International Conference on Learning Representations (ICLR), 2018	442	2018
Optimal thresholding of classifiers to maximize F1 measure ZC Lipton, C Elkan, B Naryanaswamy European Conference on Machine Learning (ECML), 225-239, 2014	388*	2014
Modeling Missing Data in Clinical Time Series with RNNs ZC Lipton, DC Kale, R Wetzel Machine Learning for Healthcare (MLHC), 2016	377*	2016
Deep Active Learning for Named Entity Recognition Y Shen, H Yun, ZC Lipton, Y Kronrod, A Anandkumar International Conference on Learning Representations (ICLR), 2018	349	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	271	2020
Detecting and Correcting for Label Shift with Black Box Predictors ZC Lipton, YX Wang, A Smola International Conference on Machine Learning (ICML), 2018	259	2018
Troubling Trends in Machine Learning Scholarship ZC Lipton, J Steinhardt Communications of the ACM 62 (6), 45-53, 2019	253*	2019
Differential privacy and machine learning: a survey and review Z Ji, ZC Lipton, C Elkan arXiv preprint arXiv:1412.7584, 2014	243	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	201*	2018
What is the Effect of Importance Weighting in Deep Learning? J Byrd, Z Lipton International Conference on Machine Learning (ICML), 872-881, 2019	200	2019
Precise Recovery of Latent Vectors from Generative Adversarial Networks ZC Lipton, S Tripathi ICLR Workshop 2017, 2017	180	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	178	2018
Combating Adversarial Misspellings with Robust Word Recognition D Pruthi, B Dhingra, ZC Lipton Association for Computational Linguistics (ACL), 2019	177	2019
Does mitigating ML’s impact disparity require treatment disparity? ZC Lipton, A Chouldechova, J McAuley Advances in Neural Information Processing Systems (NeurIPS), 2018	162*	2018
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	147	2018

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