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Ray: A Distributed Framework for Emerging AI Applications
v1v2 (latest)

Ray: A Distributed Framework for Emerging AI Applications

16 December 2017
Philipp Moritz
Robert Nishihara
Stephanie Wang
Alexey Tumanov
Richard Liaw
Eric Liang
Melih Elibol
Zongheng Yang
William Paul
Michael I. Jordan
Ion Stoica
    GNN
ArXiv (abs)PDFHTML

Papers citing "Ray: A Distributed Framework for Emerging AI Applications"

50 / 495 papers shown
Title
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space
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VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition
Yang Li
Yu Shen
Wentao Zhang
Jiawei Jiang
Bolin Ding
...
Jingren Zhou
Zhi-Xin Yang
Wentao Wu
Ce Zhang
Tengjiao Wang
LRM
61
46
0
19 Jul 2021
Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised
  Learning
Flood Segmentation on Sentinel-1 SAR Imagery with Semi-Supervised Learning
Sayak Paul
Siddha Ganju
62
32
0
18 Jul 2021
Parallel and Multi-Objective Falsification with Scenic and VerifAI
Parallel and Multi-Objective Falsification with Scenic and VerifAI
Kesav Viswanadha
Edward J. Kim
Francis Indaheng
Daniel J. Fremont
Sanjit A. Seshia
59
10
0
09 Jul 2021
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement
  Learning
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning
N. Botteghi
L.J.L. Grefte
M. Poel
B. Sirmaçek
C. Brune
Edwin Dertien
Stefano Stramigioli
55
4
0
08 Jul 2021
KAISA: An Adaptive Second-Order Optimizer Framework for Deep Neural
  Networks
KAISA: An Adaptive Second-Order Optimizer Framework for Deep Neural Networks
J. G. Pauloski
Qi Huang
Lei Huang
Shivaram Venkataraman
Kyle Chard
Ian Foster
Zhao-jie Zhang
86
29
0
04 Jul 2021
Productivity, Portability, Performance: Data-Centric Python
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
161
101
0
01 Jul 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population
  Based AutoRL
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
Jack Parker-Holder
Vu Nguyen
Shaan Desai
Stephen J. Roberts
73
18
0
30 Jun 2021
Zero-Cost, Arrow-Enabled Data Interface for Apache Spark
Zero-Cost, Arrow-Enabled Data Interface for Apache Spark
Sebastiaan Alvarez Rodriguez
Jayjeet Chakraborty
Aaron Chu
I. Jimenez
J. LeFevre
C. Maltzahn
Alexandru Uta
25
5
0
24 Jun 2021
Behavior Mimics Distribution: Combining Individual and Group Behaviors
  for Federated Learning
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning
Hua Huang
Fanhua Shang
Yuanyuan Liu
Hongying Liu
FedML
60
14
0
23 Jun 2021
Test-time Collective Prediction
Test-time Collective Prediction
Celestine Mendler-Dünner
Wenshuo Guo
Stephen Bates
Michael I. Jordan
FedML
41
2
0
22 Jun 2021
Cogment: Open Source Framework For Distributed Multi-actor Training,
  Deployment & Operations
Cogment: Open Source Framework For Distributed Multi-actor Training, Deployment & Operations
AI Redefined
S. Gottipati
Sagar Kurandwad
Clodéric Mars
Gregory Szriftgiser
Franccois Chabot
62
8
0
21 Jun 2021
Decentralized Local Stochastic Extra-Gradient for Variational
  Inequalities
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities
Aleksandr Beznosikov
Pavel Dvurechensky
Anastasia Koloskova
V. Samokhin
Sebastian U. Stich
Alexander Gasnikov
71
43
0
15 Jun 2021
Launchpad: A Programming Model for Distributed Machine Learning Research
Launchpad: A Programming Model for Distributed Machine Learning Research
Fan Yang
Gabriel Barth-Maron
Piotr Stańczyk
Matthew Hoffman
Siqi Liu
M. Kroiss
Aedan Pope
Alban Rrustemi
71
24
0
07 Jun 2021
MALib: A Parallel Framework for Population-based Multi-agent
  Reinforcement Learning
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning
Ming Zhou
Bo Liu
Hanjing Wang
Muning Wen
Runzhe Wu
Ying Wen
Yaodong Yang
Weinan Zhang
Jun Wang
OffRL
61
49
0
05 Jun 2021
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued
  Regression
The Earth Mover's Pinball Loss: Quantiles for Histogram-Valued Regression
Florian List
UQCV
38
4
0
03 Jun 2021
Motif Prediction with Graph Neural Networks
Motif Prediction with Graph Neural Networks
Maciej Besta
Raphael Grob
Cesare Miglioli
Nico Bernold
Grzegorz Kwa'sniewski
...
Raghavendra Kanakagiri
Saleh Ashkboos
Lukas Gianinazzi
Nikoli Dryden
Torsten Hoefler
87
38
0
26 May 2021
FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container
  Runtimes at Alibaba Cloud Function Compute
FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute
Ao Wang
Shuai Chang
Huangshi Tian
Hongqi Wang
Haoran Yang
Huiba Li
Rui Du
Yue Cheng
134
111
0
24 May 2021
Distributed In-memory Data Management for Workflow Executions
Distributed In-memory Data Management for Workflow Executions
Renan Souza
V. Silva
Alexandre A. B. Lima
Daniel de Oliveira
P. Valduriez
M. Mattoso
29
4
0
11 May 2021
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement
  Learning
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning
Tegg Taekyong Sung
Bo Ryu
21
2
0
27 Apr 2021
Towards Offloadable and Migratable Microservices on Disaggregated
  Architectures: Vision, Challenges, and Research Roadmap
Towards Offloadable and Migratable Microservices on Disaggregated Architectures: Vision, Challenges, and Research Roadmap
Xiaoyi Lu
Arjun Kashyap
16
4
0
22 Apr 2021
ZMCintegral-v5.1: Support for Multi-function Integrations on GPUs
ZMCintegral-v5.1: Support for Multi-function Integrations on GPUs
Xiaoqiang Cao
Jun-Jie Zhang
13
0
0
13 Apr 2021
High-Throughput Virtual Screening of Small Molecule Inhibitors for
  SARS-CoV-2 Protein Targets with Deep Fusion Models
High-Throughput Virtual Screening of Small Molecule Inhibitors for SARS-CoV-2 Protein Targets with Deep Fusion Models
Garrett A. Stevenson
Derek Jones
Hyojin Kim
W. D. Bennett
B. Bennion
...
A. Zemla
Xiaohua Zhang
Fangqiang Zhu
F. Lightstone
Jonathan E. Allen
41
17
0
09 Apr 2021
Network Environment Design for Autonomous Cyberdefense
Network Environment Design for Autonomous Cyberdefense
Andres Molina-Markham
Cory Miniter
Becky Powell
Ahmad Ridley
72
42
0
13 Mar 2021
The AI Arena: A Framework for Distributed Multi-Agent Reinforcement
  Learning
The AI Arena: A Framework for Distributed Multi-Agent Reinforcement Learning
Edward W. Staley
Corban G. Rivera
Ashley J. Llorens
AI4CE
21
1
0
09 Mar 2021
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under
  Hidden Confounding
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
Andrew Jesson
Sören Mindermann
Y. Gal
Uri Shalit
CML
90
56
0
08 Mar 2021
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half
  Precision
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
Johan Bjorck
Xiangyu Chen
Christopher De Sa
Carla P. Gomes
Kilian Q. Weinberger
135
6
0
26 Feb 2021
Derivative-Free Reinforcement Learning: A Review
Derivative-Free Reinforcement Learning: A Review
Hong Qian
Yang Yu
OffRL
132
42
0
10 Feb 2021
Searching for Alignment in Face Recognition
Searching for Alignment in Face Recognition
Xiaqing Xu
Qiang Meng
Yunxiao Qin
Jianzhu Guo
Chenxu Zhao
Feng Zhou
Zhen Lei
CVBM
69
16
0
10 Feb 2021
RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning
  Workloads
RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads
James Gleeson
Srivatsan Krishnan
Moshe Gabel
Vijay Janapa Reddi
Eyal de Lara
Gennady Pekhimenko
OffRL
43
11
0
08 Feb 2021
FedH2L: Federated Learning with Model and Statistical Heterogeneity
FedH2L: Federated Learning with Model and Statistical Heterogeneity
Yiying Li
Wei Zhou
Huaimin Wang
Haibo Mi
Timothy M. Hospedales
FedML
157
29
0
27 Jan 2021
CPU Scheduling in Data Centers Using Asynchronous Finite-Time
  Distributed Coordination Mechanisms
CPU Scheduling in Data Centers Using Asynchronous Finite-Time Distributed Coordination Mechanisms
Andreas Grammenos
Themistoklis Charalambous
Evangelia Kalyvianaki
77
20
0
15 Jan 2021
Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning
  for MANETs
Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for MANETs
Saeed Kaviani
Bo Ryu
Ejaz Ahmed
Kevin Larson
Anh-Ngoc Le
Alex Yahja
Jae H. Kim
67
20
0
09 Jan 2021
New Directions in Cloud Programming
New Directions in Cloud Programming
Alvin Cheung
Natacha Crooks
J. M. Hellerstein
Mae Milano
62
24
0
04 Jan 2021
TensorX: Extensible API for Neural Network Model Design and Deployment
TensorX: Extensible API for Neural Network Model Design and Deployment
Davide Nunes
Luis M. Antunes
24
0
0
29 Dec 2020
Ekya: Continuous Learning of Video Analytics Models on Edge Compute
  Servers
Ekya: Continuous Learning of Video Analytics Models on Edge Compute Servers
Romil Bhardwaj
Zhengxu Xia
Ganesh Ananthanarayanan
Junchen Jiang
Nikolaos Karianakis
Yuanchao Shu
Kevin Hsieh
P. Bahl
Ion Stoica
79
169
0
19 Dec 2020
TLeague: A Framework for Competitive Self-Play based Distributed
  Multi-Agent Reinforcement Learning
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning
Peng Sun
Jiechao Xiong
Lei Han
Xinghai Sun
Shuxing Li
Jiawei Xu
Meng Fang
Zhengyou Zhang
OffRLLRM
73
19
0
25 Nov 2020
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem
Eric Liang
Zhanghao Wu
Michael Luo
Sven Mika
Joseph E. Gonzalez
Ion Stoica
AI4CE
72
12
0
25 Nov 2020
An elastic framework for ensemble-based large-scale data assimilation
An elastic framework for ensemble-based large-scale data assimilation
Sebastian Friedemann
Bruno Raffin
AI4CE
28
9
0
21 Nov 2020
PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree
  Ensemble Deployment
PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment
Meghana Madhyastha
Kunal Lillaney
J. Browne
Joshua T. Vogelstein
Randal C. Burns
32
1
0
10 Nov 2020
AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with
  Autotuned Data-Parallel Training for Tabular Data
AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data
Romain Egele
Prasanna Balaprakash
V. Vishwanath
Isabelle M Guyon
Zhengying Liu
LMTD
51
21
0
30 Oct 2020
Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters
Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters
Qiong Wu
Zhenming Liu
VLM
29
3
0
28 Oct 2020
Runtime vs Scheduler: Analyzing Dask's Overheads
Runtime vs Scheduler: Analyzing Dask's Overheads
Stanislav Böhm
Jakub Beránek
GP
8
12
0
21 Oct 2020
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for
  Autonomous Driving
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou
Jun Luo
Julian Villela
Yaodong Yang
David Rusu
...
H. Ammar
Hongbo Zhang
Wulong Liu
Jianye Hao
Jun Wang
187
197
0
19 Oct 2020
PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent
  Learning -- Lifelong
PRIMAL2: Pathfinding via Reinforcement and Imitation Multi-Agent Learning -- Lifelong
Mehul Damani
Zhiyao Luo
Emerson Wenzel
Guillaume Sartoretti
AI4CE
162
126
0
16 Oct 2020
Wukong: A Scalable and Locality-Enhanced Framework for Serverless
  Parallel Computing
Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing
Benjamin Carver
Jingyuan Zhang
Ao Wang
Ali Anwar
Panruo Wu
Yue Cheng
61
122
0
14 Oct 2020
Data Engineering for HPC with Python
Data Engineering for HPC with Python
V. Abeykoon
Niranda Perera
Chathura Widanage
Supun Kamburugamuve
Thejaka Amila Kanewala
Hasara Maithree
P. Wickramasinghe
A. Uyar
Geoffrey C. Fox
PINNAI4CE
18
12
0
13 Oct 2020
Context-Aware Drive-thru Recommendation Service at Fast Food Restaurants
Context-Aware Drive-thru Recommendation Service at Fast Food Restaurants
Luyang Wang
Kai-Qi Huang
Jiao Wang
Shengsheng Huang
J. Dai
Zhuang Yue
26
1
0
13 Oct 2020
MicroRec: Efficient Recommendation Inference by Hardware and Data
  Structure Solutions
MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions
Wenqi Jiang
Zhen He
Shuai Zhang
Thomas B. Preußer
Kai Zeng
...
Tongxuan Liu
Yong Li
Jingren Zhou
Ce Zhang
Gustavo Alonso
51
7
0
12 Oct 2020
Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing
  with Cameo
Move Fast and Meet Deadlines: Fine-grained Real-time Stream Processing with Cameo
Le Xu
Shivaram Venkataraman
Indranil Gupta
Kai Zou
Rahul Potharaju
AI4TS
31
30
0
06 Oct 2020
Joint Inference of Diffusion and Structure in Partially Observed Social
  Networks Using Coupled Matrix Factorization
Joint Inference of Diffusion and Structure in Partially Observed Social Networks Using Coupled Matrix Factorization
Maryam Ramezani
Aryan Ahadinia
Amirmohammad Ziaei Bideh
Hamid R. Rabiee
110
9
0
03 Oct 2020
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