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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
{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
3071*2012
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
27202016
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
24292012
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
10652014
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
9042013
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
7272018
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
7232018
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
6002018
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
5862019
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
5312017
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
4512010
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
4212018
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
3892017
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
3882020
Carbon emissions and large neural network training
D Patterson, J Gonzalez, Q Le, C Liang, LM Munguia, D Rothchild, D So, ...
arXiv preprint arXiv:2104.10350, 2021
3702021
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
3702018
Frustratingly simple few-shot object detection
X Wang, TE Huang, T Darrell, JE Gonzalez, F Yu
arXiv preprint arXiv:2003.06957, 2020
3672020
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
3252012
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
2812018
Fbnetv2: Differentiable neural architecture search for spatial and channel dimensions
A Wan, X Dai, P Zhang, Z He, Y Tian, S Xie, B Wu, M Yu, T Xu, K Chen, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
2642020
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