Zachary C. Lipton
Zachary C. Lipton
Assistant Professor of Operations Research & Machine Learning at CMU
Verifierad e-postadress på cmu.edu - Startsida
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The Mythos of Model Interpretability
ZC Lipton
Communications of the ACM (CACM) [Prev. ICML Workshop on Human …, 2016
11462016
A critical review of recurrent neural networks for sequence learning
ZC Lipton, J Berkowitz, C Elkan
arXiv preprint arXiv:1506.00019, 2015
10412015
Learning to Diagnose with LSTM Recurrent Neural Networks
ZC Lipton, DC Kale, C Elkan, R Wetzell
International Conference on Learning Representations (ICLR), 2015
5932015
Modeling Missing Data in Clinical Time Series with RNNs
ZC Lipton, DC Kale, R Wetzel
Machine Learning for Healthcare (MLHC), 2016
179*2016
Stochastic activation pruning for robust adversarial defense
GS Dhillon, K Azizzadenesheli, ZC Lipton, J Bernstein, J Kossaifi, ...
International Conference on Learning Representations (ICLR), 2018
1552018
Optimal thresholding of classifiers to maximize F1 measure
ZC Lipton, C Elkan, B Naryanaswamy
European Conference on Machine Learning (ECML), 225-239, 2014
1542014
Born again neural networks
T Furlanello, ZC Lipton, M Tschannen, L Itti, A Anandkumar
International Conference on Machine Learning (ICML), 2018
1442018
Differential privacy and machine learning: a survey and review
Z Ji, ZC Lipton, C Elkan
arXiv preprint arXiv:1412.7584, 2014
1062014
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
93*2018
Deep Active Learning for Named Entity Recognition
Y Shen, H Yun, ZC Lipton, Y Kronrod, A Anandkumar
International Conference on Learning Representations (ICLR), 2018
882018
Troubling Trends in Machine Learning Scholarship
ZC Lipton, J Steinhardt
Communications of the ACM 62 (6), 45-53, 2019
862019
Precise Recovery of Latent Vectors from Generative Adversarial Networks
ZC Lipton, S Tripathi
ICLR Workshop 2017, 2017
732017
Semantically decomposing the latent spaces of generative adversarial networks
C Donahue, A Balsubramani, J McAuley, ZC Lipton
International Conference on Learning Representations (ICLR), 2018
592018
Does mitigating ML’s impact disparity require treatment disparity?
ZC Lipton, A Chouldechova, J McAuley
Advances in Neural Information Processing Systems (NIPS), 2018
58*2018
Generative concatenative nets jointly learn to write and classify reviews
ZC Lipton, S Vikram, J McAuley
arXiv preprint arXiv:1511.03683, 2015
56*2015
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
522016
Detecting and Correcting for Label Shift with Black Box Predictors
ZC Lipton, YX Wang, A Smola
International Conference on Machine Learning (ICML), 2018
482018
Learning From Noisy Singly-labeled Data
A Khetan, ZC Lipton, A Anandkumar
International Conference on Learning Representations (ICLR), 2018
452018
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
452016
Combating Deep Reinforcement Learning's Sisyphean Curse with Intrinsic Fear
ZC Lipton, J Gao, L Li, J Chen, L Deng
44*2016
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Artiklar 1–20