Title
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Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach Yikun Zhang Yen-Chi Chen 48 1 0 16 Oct 2021
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Using Physiological Information to Classify Task Difficulty in Human-Swarm Interaction Joseph P. Distefano Hemanth Manjunatha Souma Chowdhury Karthik Dantu David Doermann Ehsan Esfahani 15 3 0 24 Sep 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Katharina Eggensperger Philip Muller Neeratyoy Mallik Matthias Feurer René Sass Aaron Klein Noor H. Awad Marius Lindauer Frank Hutter 46 100 0 14 Sep 2021
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption A. Frikha Denis Krompass Volker Tresp OOD 35 1 0 09 Sep 2021
Multi-model Machine Learning Inference Serving with GPU Spatial Partitioning S. Choi Sunho Lee Yeonjae Kim Jongse Park Youngjin Kwon Jaehyuk Huh 30 21 0 01 Sep 2021
Aggregation Delayed Federated Learning Ye Xue Diego Klabjan Yuan Luo FedML OOD 23 5 0 17 Aug 2021
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 Bin Cui LRM 29 44 0 19 Jul 2021
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning N. Botteghi L.J.L. Grefte M. Poel B. Sirmaçek C. Brune Edwin Dertien Stefano Stramigioli 24 4 0 08 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 54 94 0 01 Jul 2021
Zero-Cost, Arrow-Enabled Data Interface for Apache Spark Sebastiaan Alvarez Rodriguez Jayjeet Chakraborty Aaron Chu I. Jimenez J. LeFevre C. Maltzahn Alexandru Uta 18 5 0 24 Jun 2021
Behavior Mimics Distribution: Combining Individual and Group Behaviors for Federated Learning Hua Huang Fanhua Shang Yuanyuan Liu Hongying Liu FedML 24 14 0 23 Jun 2021
Decentralized Local Stochastic Extra-Gradient for Variational Inequalities Aleksandr Beznosikov Pavel Dvurechensky Anastasia Koloskova V. Samokhin Sebastian U. Stich Alexander Gasnikov 32 43 0 15 Jun 2021
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 24 37 0 26 May 2021
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Distributed In-memory Data Management for Workflow Executions Renan Souza V. Silva Alexandre A. B. Lima Daniel de Oliveira P. Valduriez M. Mattoso 19 4 0 11 May 2021
Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding Andrew Jesson Sören Mindermann Y. Gal Uri Shalit CML 13 53 0 08 Mar 2021
CPU Scheduling in Data Centers Using Asynchronous Finite-Time Distributed Coordination Mechanisms Andreas Grammenos Themistoklis Charalambous Evangelia Kalyvianaki 14 20 0 15 Jan 2021
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 OffRL LRM 25 19 0 25 Nov 2020
RLlib Flow: Distributed Reinforcement Learning is a Dataflow Problem Eric Liang Zhanghao Wu Michael Luo Sven Mika Joseph E. Gonzalez Ion Stoica AI4CE 21 9 0 25 Nov 2020
An elastic framework for ensemble-based large-scale data assimilation Sebastian Friedemann Bruno Raffin AI4CE 11 8 0 21 Nov 2020
PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment Meghana Madhyastha Kunal Lillaney J. Browne Joshua T. Vogelstein Randal C. Burns 20 1 0 10 Nov 2020
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 139 193 0 19 Oct 2020
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A Survey on Large-scale Machine Learning Meng Wang Weijie Fu Xiangnan He Shijie Hao Xindong Wu 14 109 0 10 Aug 2020
The Emergence of Adversarial Communication in Multi-Agent Reinforcement Learning J. Blumenkamp Amanda Prorok AAML AI4CE 16 59 0 06 Aug 2020
Queueing Network Controls via Deep Reinforcement Learning J. Dai Mark O. Gluzman OffRL 29 50 0 31 Jul 2020
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A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments Sindhu Padakandla 20 144 0 19 May 2020
How Useful is Self-Supervised Pretraining for Visual Tasks? Alejandro Newell Jia Deng SSL 25 136 0 31 Mar 2020
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods Jiale Zhi Rui Wang Jeff Clune Kenneth O. Stanley OffRL 22 12 0 25 Mar 2020
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning Qijing Huang Ameer Haj-Ali William S. Moses J. Xiang Ion Stoica Krste Asanović J. Wawrzynek 21 56 0 02 Mar 2020
Faasm: Lightweight Isolation for Efficient Stateful Serverless Computing Simon Shillaker Peter R. Pietzuch 14 273 0 21 Feb 2020
Hoplite: Efficient and Fault-Tolerant Collective Communication for Task-Based Distributed Systems Siyuan Zhuang Zhuohan Li Danyang Zhuo Stephanie Wang Eric Liang Robert Nishihara Philipp Moritz Ion Stoica 22 23 0 13 Feb 2020
MushroomRL: Simplifying Reinforcement Learning Research Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters OffRL 12 84 0 04 Jan 2020
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning Ameer Haj-Ali Nesreen Ahmed Theodore L. Willke Sophia Shao Krste Asanović Ion Stoica 17 101 0 20 Sep 2019
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch Adam Stooke Pieter Abbeel OffRL 19 96 0 03 Sep 2019
Serverless Supercomputing: High Performance Function as a Service for Science Ryan Chard Tyler J. Skluzacek Zhuozhao Li Y. Babuji A. Woodard Ben Blaiszik S. Tuecke Ian Foster Kyle Chard LRM 21 34 0 14 Aug 2019
A Review of Cooperative Multi-Agent Deep Reinforcement Learning Afshin Oroojlooyjadid Davood Hajinezhad 48 408 0 11 Aug 2019
Policy Gradient Search: Online Planning and Expert Iteration without Search Trees Thomas W. Anthony Robert Nishihara Philipp Moritz Tim Salimans John Schulman 20 30 0 07 Apr 2019
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