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1712.05855
Cited By
A Berkeley View of Systems Challenges for AI
15 December 2017
Ion Stoica
D. Song
Raluca A. Popa
D. Patterson
Michael W. Mahoney
R. Katz
A. Joseph
Michael I. Jordan
J. M. Hellerstein
Joseph E. Gonzalez
Ken Goldberg
A. Ghodsi
David Culler
Pieter Abbeel
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Papers citing
"A Berkeley View of Systems Challenges for AI"
21 / 21 papers shown
Title
Is feature selection secure against training data poisoning?
Huang Xiao
Battista Biggio
Gavin Brown
Giorgio Fumera
Claudia Eckert
Fabio Roli
AAML
SILM
51
423
0
21 Apr 2018
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations
S. Krishnan
Roy Fox
Ion Stoica
Ken Goldberg
56
83
0
15 Oct 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit
N. Jouppi
C. Young
Nishant Patil
David Patterson
Gaurav Agrawal
...
Vijay Vasudevan
Richard Walter
Walter Wang
Eric Wilcox
Doe Hyun Yoon
233
4,630
0
16 Apr 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
241
2,964
0
20 Mar 2017
Clipper: A Low-Latency Online Prediction Serving System
D. Crankshaw
Xin Wang
Giulio Zhou
Michael Franklin
Joseph E. Gonzalez
Ion Stoica
55
674
0
09 Dec 2016
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
233
4,120
0
18 Oct 2016
Minimax Optimal Procedures for Locally Private Estimation
John C. Duchi
Martin J. Wainwright
Michael I. Jordan
68
435
0
08 Apr 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
390
17,453
0
17 Feb 2016
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Tianqi Chen
Mu Li
Yutian Li
Min Lin
Naiyan Wang
Minjie Wang
Tianjun Xiao
Bing Xu
Chiyuan Zhang
Zheng Zhang
196
2,246
0
03 Dec 2015
MLlib: Machine Learning in Apache Spark
Xiangrui Meng
Joseph K. Bradley
Burak Yavuz
Evan R. Sparks
Shivaram Venkataraman
...
Reynold Xin
Michael Franklin
R. Zadeh
Matei A. Zaharia
Ameet Talwalkar
58
1,783
0
26 May 2015
End-to-End Training of Deep Visuomotor Policies
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
305
3,434
0
02 Apr 2015
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
277
6,764
0
19 Feb 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
264
19,045
0
20 Dec 2014
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
167
2,600
0
10 Dec 2014
Communication-Efficient Distributed Dual Coordinate Ascent
Martin Jaggi
Virginia Smith
Martin Takáč
Jonathan Terhorst
S. Krishnan
Thomas Hofmann
Michael I. Jordan
82
353
0
04 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
271
14,707
0
20 Jun 2014
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
261
14,912
1
21 Dec 2013
MLI: An API for Distributed Machine Learning
Evan R. Sparks
Ameet Talwalkar
Virginia Smith
Jey Kottalam
Xinghao Pan
Joseph E. Gonzalez
Michael Franklin
Michael I. Jordan
Tim Kraska
VLM
79
204
0
21 Oct 2013
BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data
Sameer Agarwal
Aurojit Panda
Barzan Mozafari
Samuel Madden
Ion Stoica
63
773
0
25 Mar 2012
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
Feng Niu
Benjamin Recht
Christopher Ré
Stephen J. Wright
191
2,273
0
28 Jun 2011
1