Zachary C. Lipton
Zachary C. Lipton
Assistant Professor at Carnegie Mellon University
Verified email at - Homepage
TitleCited byYear
A critical review of recurrent neural networks for sequence learning
ZC Lipton, J Berkowitz, C Elkan
arXiv preprint arXiv:1506.00019, 2015
The Mythos of Model Interpretability
ZC Lipton
ICML Workshop on Human Interpretability of Machine Learning, 2016
Learning to Diagnose with LSTM Recurrent Neural Networks
ZC Lipton, DC Kale, C Elkan, R Wetzell
International Conference on Learning Representations (ICLR) 2016, 2015
Optimal thresholding of classifiers to maximize F1 measure
ZC Lipton, C Elkan, B Naryanaswamy
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2014
Modeling Missing Data in Clinical Time Series with RNNs
ZC Lipton, DC Kale, R Wetzel
Machine Learning for Healthcare (MLHC) 2016, 2016
Differential privacy and machine learning: a survey and review
Z Ji, ZC Lipton, C Elkan
arXiv preprint arXiv:1412.7584, 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, 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
Precise Recovery of Latent Vectors from Generative Adversarial Networks
ZC Lipton, S Tripathi
ICLR Workshop 2017, 2017
Born again neural networks
T Furlanello, ZC Lipton, M Tschannen, L Itti, A Anandkumar
International Conference on Machine Learning (ICML), 2018
Generative concatenative nets jointly learn to write and classify reviews
ZC Lipton, S Vikram, J McAuley
arXiv preprint arXiv:1511.03683, 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
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), 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
Troubling trends in machine learning scholarship
ZC Lipton, J Steinhardt
arXiv preprint arXiv:1807.03341, 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
Combating Deep Reinforcement Learning’s Sisyphean Curse with Reinforcement Learning
ZC Lipton, A Kumar, J Gao, L Li, L Deng
arXiv preprint arXiv:1611.01211, 2016
Does mitigating ML’s impact disparity require treatment disparity?
ZC Lipton, A Chouldechova, J McAuley
Advances in Neural Information Processing Systems (NIPS) 2018, 2018
Phenotyping of Clinical Time Series with LSTM Recurrent Neural Networks
ZC Lipton, DC Kale, RC Wetzell
NIPS Workshop on Machine Learning for Healthcare (2015), 2015
Tensor regression networks
J Kossaifi, ZC Lipton, A Khanna, T Furlanello, A Anandkumar
arXiv preprint arXiv:1707.08308 2 (4), 2017
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