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2010.12438
Cited By
Transferable Graph Optimizers for ML Compilers
21 October 2020
Yanqi Zhou
Sudip Roy
AmirAli Abdolrashidi
Daniel Wong
Peter C. Ma
Qiumin Xu
Hanxiao Liu
Mangpo Phitchaya Phothilimtha
Shen Wang
Anna Goldie
Azalia Mirhoseini
James Laudon
GNN
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Papers citing
"Transferable Graph Optimizers for ML Compilers"
23 / 23 papers shown
Title
Optimizing Automatic Differentiation with Deep Reinforcement Learning
Jamie Lohoff
Emre Neftci
148
1
0
28 Jan 2025
Chip Placement with Deep Reinforcement Learning
Azalia Mirhoseini
Anna Goldie
M. Yazgan
J. Jiang
Ebrahim M. Songhori
...
Quoc V. Le
James Laudon
Richard Ho
Roger Carpenter
J. Dean
OffRL
34
214
0
22 Apr 2020
Placeto: Learning Generalizable Device Placement Algorithms for Distributed Machine Learning
Ravichandra Addanki
S. Venkatakrishnan
Shreyan Gupta
Hongzi Mao
Mohammad Alizadeh
OOD
OffRL
43
67
0
20 Jun 2019
Superposition of many models into one
Brian Cheung
A. Terekhov
Yubei Chen
Pulkit Agrawal
Bruno A. Olshausen
MoMe
33
115
0
14 Feb 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Zihang Dai
Zhilin Yang
Yiming Yang
J. Carbonell
Quoc V. Le
Ruslan Salakhutdinov
VLM
161
3,714
0
09 Jan 2019
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
193
7,554
0
01 Oct 2018
Learning to Perform Local Rewriting for Combinatorial Optimization
Xinyun Chen
Yuandong Tian
NAI
OffRL
94
342
0
30 Sep 2018
Beyond Data and Model Parallelism for Deep Neural Networks
Zhihao Jia
Matei A. Zaharia
A. Aiken
GNN
AI4CE
54
501
0
14 Jul 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
272
895
0
07 Jun 2018
Learning to Optimize Tensor Programs
Tianqi Chen
Lianmin Zheng
Eddie Q. Yan
Ziheng Jiang
T. Moreau
Luis Ceze
Carlos Guestrin
Arvind Krishnamurthy
63
396
0
21 May 2018
Exploring the Limits of Weakly Supervised Pretraining
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Yixuan Li
Ashwin R. Bharambe
Laurens van der Maaten
VLM
173
1,362
0
02 May 2018
Regularized Evolution for Image Classifier Architecture Search
Esteban Real
A. Aggarwal
Yanping Huang
Quoc V. Le
148
3,021
0
05 Feb 2018
Deep Learning Scaling is Predictable, Empirically
Joel Hestness
Sharan Narang
Newsha Ardalani
G. Diamos
Heewoo Jun
Hassan Kianinejad
Md. Mostofa Ali Patwary
Yang Yang
Yanqi Zhou
87
728
0
01 Dec 2017
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
285
18,685
0
20 Jul 2017
Device Placement Optimization with Reinforcement Learning
Azalia Mirhoseini
Hieu H. Pham
Quoc V. Le
Benoit Steiner
Rasmus Larsen
Yuefeng Zhou
Naveen Kumar
Mohammad Norouzi
Samy Bengio
J. Dean
77
438
0
13 Jun 2017
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
427
15,066
0
07 Jun 2017
Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Noam M. Shazeer
Azalia Mirhoseini
Krzysztof Maziarz
Andy Davis
Quoc V. Le
Geoffrey E. Hinton
J. Dean
MoE
185
2,614
0
23 Jan 2017
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
331
7,361
0
12 Sep 2016
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
305
10,412
0
21 Jul 2016
Exploring the Limits of Language Modeling
Rafal Jozefowicz
Oriol Vinyals
M. Schuster
Noam M. Shazeer
Yonghui Wu
139
1,143
0
07 Feb 2016
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
577
27,231
0
02 Dec 2015
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
319
20,491
0
10 Sep 2014
Recurrent Neural Network Regularization
Wojciech Zaremba
Ilya Sutskever
Oriol Vinyals
ODL
113
2,768
0
08 Sep 2014
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