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Daniel Levy
Daniel Levy
PhD student, Stanford University
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
Gpt-4 technical report
J Achiam, S Adler, S Agarwal, L Ahmad, I Akkaya, FL Aleman, D Almeida, ...
arXiv preprint arXiv:2303.08774, 2023
6632023
Breast mass classification from mammograms using deep convolutional neural networks
D LÚvy, A Jain
arXiv preprint arXiv:1612.00542, 2016
2932016
Data Noising as Smoothing in Neural Network Language Models
Z Xie, SI Wang, J Li, D LÚvy, A Nie, D Jurafsky, AY Ng
International Conference on Learning Representations (ICLR) 2017, 2017
2812017
Faster cryptonets: Leveraging sparsity for real-world encrypted inference
E Chou, J Beal, D Levy, S Yeung, A Haque, L Fei-Fei
arXiv preprint arXiv:1811.09953, 2018
2092018
Large-scale methods for distributionally robust optimization
D Levy*, Y Carmon*, JC Duchi, A Sidford
NeurIPS 2020, 2020
1752020
Generalizing Hamiltonian Monte Carlo with Neural Networks
D Levy, MD Hoffman, J Sohl-Dickstein
International Conference on Learning Representations (ICLR) 2018, 2017
1462017
Learning with User-Level Privacy
D Levy*, Z Sun*, K Amin, S Kale, A Kulesza, M Mohri, AT Suresh
NeurIPS 2021, 2021
672021
Bayesian optimization and attribute adjustment
S Eismann, D Levy, R Shu, S Bartzsch, S Ermon
Uncertainty in Artificial Intelligence (UAI) 2018, 2018
252018
Breast mass classification from mammograms using deep convolutional neural networks. arXiv 2016
D LÚvy, A Jain
arXiv preprint arXiv:1612.00542 21, 2016
222016
Distributionally Robust Multilingual Machine Translation
C Zhou*, D Levy*, X Li, M Ghazvininejad, G Neubig
EMNLP 2021, 2021
202021
Adapting to Function Difficulty and Growth Conditions in Private Optimization
H Asi*, D Levy*, J Duchi
NeurIPS 2021, 2021
192021
Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search
S Mussmann*, D Levy*, S Ermon
Uncertainty in Artificial Intelligence (UAI) 2017, 2017
192017
Breast mass classification using deep convolutional neural networks
A Jain, D Levy
30th conference on neural information processing systems (NIPS 2016), 1-6, 2016
142016
Necessary and sufficient geometries for gradient methods
D Levy, JC Duchi
NeurIPS 2019 (Oral), 2019
72019
Deterministic Policy Optimization by Combining Pathwise Derivative and Score Function Estimators for Discrete Action Spaces
D Levy, S Ermon
AAAI 2018, 2018
5*2018
Similar Language Detection
S Qiao, D LÚvy
Stanford University, 2015
22015
LSH Softmax: Sub-Linear Learning and Inference of the Softmax Layer in Deep Architectures
D Levy, D Chan, S Ermon
12018
Advancing Optimization for Modern Machine Learning
D Levy
Stanford University, 2021
2021
Homotopies et application Ó l’Útude des R-algŔbres en dimension finie
D LÚvy
2012
Trading-off Learning and Inference in Deep Latent Variable Models
D Levy, S Ermon
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