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Joseph E. Gonzalez
Joseph E. Gonzalez
Professor of Computer Science, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Apache spark: a unified engine for big data processing
M Zaharia, RS Xin, P Wendell, T Das, M Armbrust, A Dave, X Meng, ...
Communications of the ACM 59 (11), 56-65, 2016
24012016
Distributed graphlab: A framework for machine learning in the cloud
Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin, JM Hellerstein
arXiv preprint arXiv:1204.6078, 2012
23322012
{PowerGraph}: Distributed {Graph-Parallel} Computation on Natural Graphs
JE Gonzalez, Y Low, H Gu, D Bickson, C Guestrin
10th USENIX symposium on operating systems design and implementation (OSDI …, 2012
21912012
{GraphX}: Graph Processing in a Distributed Dataflow Framework
JE Gonzalez, RS Xin, A Dave, D Crankshaw, MJ Franklin, I Stoica
11th USENIX symposium on operating systems design and implementation (OSDI …, 2014
13152014
Graphlab: A new framework for parallel machine learning
Y Low, JE Gonzalez, A Kyrola, D Bickson, CE Guestrin, J Hellerstein
arXiv preprint arXiv:1408.2041, 2014
10102014
Graphx: A resilient distributed graph system on spark
RS Xin, JE Gonzalez, MJ Franklin, I Stoica
First international workshop on graph data management experiences and …, 2013
8672013
RLlib: Abstractions for distributed reinforcement learning
E Liang, R Liaw, R Nishihara, P Moritz, R Fox, K Goldberg, J Gonzalez, ...
International Conference on Machine Learning, 3053-3062, 2018
5232018
Skipnet: Learning dynamic routing in convolutional networks
X Wang, F Yu, ZY Dou, T Darrell, JE Gonzalez
Proceedings of the European Conference on Computer Vision (ECCV), 409-424, 2018
4712018
Cloud programming simplified: A berkeley view on serverless computing
E Jonas, J Schleier-Smith, V Sreekanti, CC Tsai, A Khandelwal, Q Pu, ...
arXiv preprint arXiv:1902.03383, 2019
4692019
Tune: A research platform for distributed model selection and training
R Liaw, E Liang, R Nishihara, P Moritz, JE Gonzalez, I Stoica
arXiv preprint arXiv:1807.05118, 2018
4582018
Graphlab: A new parallel framework for machine learning
Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin, JM Hellerstein
Conference on uncertainty in artificial intelligence (UAI) 20, 2010
4472010
Clipper: A {Low-Latency} Online Prediction Serving System
D Crankshaw, X Wang, G Zhou, MJ Franklin, JE Gonzalez, I Stoica
14th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2017
4372017
Serverless computing: One step forward, two steps back
JM Hellerstein, J Faleiro, JE Gonzalez, J Schleier-Smith, V Sreekanti, ...
arXiv preprint arXiv:1812.03651, 2018
3532018
Opaque: An oblivious and encrypted distributed analytics platform
W Zheng, A Dave, JG Beekman, RA Popa, JE Gonzalez, I Stoica
14th USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2017
3402017
Scalable inference in latent variable models
A Ahmed, M Aly, J Gonzalez, S Narayanamurthy, AJ Smola
Proceedings of the fifth ACM international conference on Web search and data …, 2012
3152012
Shift: A zero flop, zero parameter alternative to spatial convolutions
B Wu, A Wan, X Yue, P Jin, S Zhao, N Golmant, A Gholaminejad, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2018
2882018
Visual transformers: Token-based image representation and processing for computer vision
B Wu, C Xu, X Dai, A Wan, P Zhang, Z Yan, M Tomizuka, J Gonzalez, ...
arXiv preprint arXiv:2006.03677, 2020
2572020
MLI: An API for distributed machine learning
ER Sparks, A Talwalkar, V Smith, J Kottalam, X Pan, J Gonzalez, ...
2013 IEEE 13th International Conference on Data Mining, 1187-1192, 2013
2342013
Model-based value estimation for efficient model-free reinforcement learning
V Feinberg, A Wan, I Stoica, MI Jordan, JE Gonzalez, S Levine
arXiv preprint arXiv:1803.00101, 2018
2252018
Frustratingly simple few-shot object detection
X Wang, TE Huang, T Darrell, JE Gonzalez, F Yu
arXiv preprint arXiv:2003.06957, 2020
2142020
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