Jian Zhang
Jian Zhang
PhD student, Stanford University
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
Squad: 100,000+ questions for machine comprehension of text
P Rajpurkar, J Zhang, K Lopyrev, P Liang
Conference on Empirical Methods in Natural Language Processing, 2016
20062016
DAWNBench: An End-to-End Deep Learning Benchmark and Competition
C Coleman, D Narayanan, D Kang, T Zhao, J Zhang, L Nardi, P Bailis, ...
SysML conference, 2018
1232018
Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors
J Zhang, K Chen, A Schwing, R Urtasun
International Conference on Computer Vision, 2013
702013
YellowFin and the Art of Momentum Tuning
J Zhang, I Mitliagkas
SysML Conference, 2019
642019
High-accuracy low-precision training
C De Sa, M Leszczynski, J Zhang, A Marzoev, CR Aberger, K Olukotun, ...
arXiv preprint arXiv:1803.03383, 2018
61*2018
Deep learning at 15pf: supervised and semi-supervised classification for scientific data
T Kurth, J Zhang, N Satish, E Racah, I Mitliagkas, MMA Patwary, T Malas, ...
Proceedings of the International Conference for High Performance Computing …, 2017
592017
Parallel SGD: When does averaging help?
J Zhang, C De Sa, I Mitliagkas, C Ré
arXiv preprint arXiv:1606.07365, 2016
482016
Analysis of the Time-To-Accuracy Metric and Entries in the DAWNBench Deep Learning Benchmark
C Coleman, D Kang, D Narayanan, L Nardi, T Zhao, J Zhang, P Bailis, ...
Workshop on Systems for ML and Open Source Software at NeurIPS 2018, 2018
30*2018
Landscape of B cell immunity and related immune evasion in human cancers
X Hu, J Zhang, J Wang, J Fu, T Li, X Zheng, B Wang, S Gu, P Jiang, J Fan, ...
Nature genetics 51 (3), 560-567, 2019
222019
Higher-Order Inference for Multi-class Log-supermodular Models
J Zhang, J Djolonga, A Krause
International Conference on Computer Vision, 2015
182015
Low-memory neural network training: A technical report
NS Sohoni, CR Aberger, M Leszczynski, J Zhang, C Ré
arXiv preprint arXiv:1904.10631, 2019
162019
Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation
J Zhang, A May, T Dao, C Ré
International Conference on Artificial Intelligence and Statistics, 2018
132018
Message Passing Inference for Large Scale Graphical Models with High Order Potentials
J Zhang, A Schwing, U Raquel
Advances in Neural Information Processing Systems, 2015
72015
On the downstream performance of compressed word embeddings
A May, J Zhang, T Dao, C Ré
Advances in neural information processing systems, 11805-11816, 2019
62019
PipeMare: Asynchronous Pipeline Parallel DNN Training
B Yang, J Zhang, J Li, C Ré, CR Aberger, C De Sa
arXiv preprint arXiv:1910.05124, 2019
32019
Training with Low-precision Embedding Tables
J Zhang, J Yang, H Yuen
32018
Exploring the Utility of Developer Exhaust
J Zhang, M Lam, S Wang, P Varma, L Nardi, K Olukotun, C Ré
Proceedings of the Second Workshop on Data Management for End-To-End Machine …, 2018
12018
YellowFin: Adaptive optimization for (A) synchronous systems
J Zhang, I Mitliagkas
SysML Conference, 2018
12018
Contextual Embeddings: When Are They Worth It?
S Arora, A May, J Zhang, C Ré
arXiv preprint arXiv:2005.09117, 2020
2020
Understanding the Downstream Instability of Word Embeddings
M Leszczynski, A May, J Zhang, S Wu, CR Aberger, C Ré
arXiv preprint arXiv:2003.04983, 2020
2020
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