Title
OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework Jian Hu Xibin Wu Weixun Wang OpenLLMAI Team Dehao Zhang Yu Cao AI4CE VLM 116 130 0 20 May 2024
Federated Graph Condensation with Information Bottleneck Principles Bo Yan DD FedML 75 4 0 07 May 2024
Delta Tensor: Efficient Vector and Tensor Storage in Delta Lake Zhiwei Bao Liao-Liao Liu Zhiyu Wu Yifan Zhou Dan Fan Michal Aibin Yvonne Coady Andrew Brownsword 80 1 0 03 May 2024
An Information Theoretic Perspective on Conformal Prediction Alvaro H.C. Correia F. V. Massoli Christos Louizos Arash Behboodi 76 5 0 03 May 2024
Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition O. Kundacina V. Vincan D. Mišković BDL 131 1 0 03 May 2024
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments Mohak Chadha Alexander Jensen Jianfeng Gu Osama Abboud Michael Gerndt 111 0 0 22 Apr 2024
LoongServe: Efficiently Serving Long-context Large Language Models with Elastic Sequence Parallelism Bingya Wu Shengyu Liu Yinmin Zhong Peng Sun Xuanzhe Liu Xin Jin RALM 106 63 0 15 Apr 2024
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning Hui Bai Ran Cheng 82 6 0 12 Apr 2024
Interactive Ontology Matching with Cost-Efficient Learning Bin Cheng Jonathan Fürst Tobias Jacobs Celia Garrido-Hidalgo 62 2 0 11 Apr 2024
A Survey of Distributed Graph Algorithms on Massive Graphs Lingkai Meng Yu Shao Long Yuan Longbin Lai Peng Cheng Xue Li Wenyuan Yu Wenjie Zhang Xuemin Lin Jingren Zhou 77 15 0 09 Apr 2024
Scaling up ridge regression for brain encoding in a massive individual fMRI dataset Sana Ahmadi Pierre Bellec Tristan Glatard AI4CE 23 0 0 28 Mar 2024
UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving Yifei Li Ryan Chard Y. Babuji Kyle Chard Ian Foster Zhuozhao Li 61 0 0 28 Mar 2024
PerOS: Personalized Self-Adapting Operating Systems in the Cloud Hongyu He 46 1 0 26 Mar 2024
Distributed Simulation of Large Multi-body Systems Manas Kale P. Kry AI4CE 20 0 0 25 Mar 2024
A Codesign of Scheduling and Parallelization for Large Model Training in Heterogeneous Clusters Chunyu Xue Weihao Cui Han Zhao Quan Chen Shulai Zhang Peng Yang Jing Yang Shaobo Li Minyi Guo 82 2 0 24 Mar 2024
Design and Implementation of an Analysis Pipeline for Heterogeneous Data A. Sarker Aymen Alsaadi Niranda Perera Mills Staylor G. V. Laszewski ... Ozgur O. Kilic Mikhail Titov André Merzky S. Jha Geoffrey C. Fox 30 1 0 23 Mar 2024
FSD-Inference: Fully Serverless Distributed Inference with Scalable Cloud Communication Joe Oakley Hakan Ferhatosmanoglu 62 2 0 22 Mar 2024
Deep Reinforcement Learning-based Large-scale Robot Exploration Yuhong Cao Rui Zhao Yizhuo Wang Bairan Xiang Guillaume Sartoretti 113 13 0 16 Mar 2024
ATOM: Asynchronous Training of Massive Models for Deep Learning in a Decentralized Environment Xiaofeng Wu Jia Rao Wei Chen 51 3 0 15 Mar 2024
Efficient Fault Tolerance for Pipelined Query Engines via Write-ahead Lineage Ziheng Wang Alex Aiken 19 0 0 12 Mar 2024
Couler: Unified Machine Learning Workflow Optimization in Cloud Xiaoda Wang Yuan-ju Tang Tengda Guo Bo Sang Jingji Wu Jian Sha Ke Zhang Jiang Qian Mingjie Tang 58 0 0 12 Mar 2024
WannaLaugh: A Configurable Ransomware Emulator -- Learning to Mimic Malicious Storage Traces Dionysios Diamantopolous Roman Pletka Slavisa Sarafijanovic A. L. N. Reddy Haris Pozidis 53 2 0 12 Mar 2024
Alto: Orchestrating Distributed Compound AI Systems with Nested Ancestry Keshav Santhanam Deepti Raghavan Muhammad Shahir Rahman Thejas Venkatesh Neha Kunjal Maximilien Cura Houjun Liu Pratiksha Thaker Philip Levis Matei A. Zaharia 82 9 0 07 Mar 2024
Portable, heterogeneous ensemble workflows at scale using libEnsemble Stephen Hudson Jeffrey Larson John-Luke Navarro Stefan M. Wild MoE 108 0 0 06 Mar 2024
Predicting Instability in Complex Oscillator Networks: Limitations and Potentials of Network Measures and Machine Learning Christian Nauck M. Lindner Nora Molkenthin Jürgen Kurths Eckehard Scholl Jorg Raisch Frank Hellmann 70 1 0 27 Feb 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data YongKyung Oh Dongyoung Lim Sungil Kim AI4TS 129 17 0 22 Feb 2024
JetTrain: IDE-Native Machine Learning Experiments Artem Trofimov Mikhail Kostyukov Sergei Ugdyzhekov Natalia Ponomareva Igor Naumov Maksim Melekhovets VLM 44 0 0 16 Feb 2024
Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning Mohak Chadha Pulkit Khera Jianfeng Gu Osama Abboud Michael Gerndt FedML 73 5 0 11 Feb 2024
Efficient Models for the Detection of Hate, Abuse and Profanity Christoph Tillmann Aashka Trivedi Bishwaranjan Bhattacharjee VLM 43 0 0 08 Feb 2024
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision Nathaniel Hudson J. G. Pauloski Matt Baughman Alok V. Kamatar Mansi Sakarvadia ... Owen Price Skelly Ben Blaiszik Rick L. Stevens Kyle Chard Ian Foster MedIm 81 8 0 05 Feb 2024
Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning Abdelhakim Benechehab Albert Thomas Balázs Kégl OffRL 59 2 0 05 Feb 2024
Bayesian Deep Learning for Remaining Useful Life Estimation via Stein Variational Gradient Descent Luca Della Libera Jacopo Andreoli Davide Dalle Pezze Mirco Ravanelli Gian Antonio Susto BDL 70 1 0 02 Feb 2024
MaLLaM -- Malaysia Large Language Model Husein Zolkepli Aisyah Razak Kamarul Adha Ariff Nazhan LRM 23 0 0 26 Jan 2024
Accelerating Causal Algorithms for Industrial-scale Data: A Distributed Computing Approach with Ray Framework Vishal Verma Vinod Reddy Jaiprakash Ravi 52 0 0 22 Jan 2024
Software Resource Disaggregation for HPC with Serverless Computing Marcin Copik Marcin Chrapek Larissa Schmid A. Calotoiu Torsten Hoefler 88 10 0 19 Jan 2024
Towards providing reliable job completion time predictions using PCS Abdullah Bin Faisal Noah Martin Hafiz Mohsin Bashir Swaminathan Lamelas Fahad R. Dogar 52 0 0 18 Jan 2024
DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving Yinmin Zhong Shengyu Liu Junda Chen Jianbo Hu Yibo Zhu Xuanzhe Liu Xin Jin Hao Zhang 94 206 0 18 Jan 2024
Learned Best-Effort LLM Serving Siddharth Jha Coleman Hooper Xiaoxuan Liu Sehoon Kim Kurt Keutzer 43 2 0 15 Jan 2024
Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache Bin Lin Chen Zhang Tao Peng Hanyu Zhao Wencong Xiao ... Shen Li Zhigang Ji Tao Xie Yong Li Wei Lin 117 54 0 05 Jan 2024
Xorbits: Automating Operator Tiling for Distributed Data Science Weizheng Lu Kaisheng He Xuye Qin Chengjie Li Zhong Wang Tao Yuan Xia Liao Feng Zhang Yueguo Chen Xiaoyong Du 21 1 0 29 Dec 2023
Spreeze: High-Throughput Parallel Reinforcement Learning Framework Jing Hou Guang Chen Ruiqi Zhang Zhijun Li Shangding Gu Changjun Jiang OffRL 75 2 0 11 Dec 2023
Tenplex: Dynamic Parallelism for Deep Learning using Parallelizable Tensor Collections Marcel Wagenlander Guo Li Bo Zhao Kai Zou Peter R. Pietzuch 96 7 0 08 Dec 2023
Efficient Parallel Reinforcement Learning Framework using the Reactor Model Jacky Kwok Marten Lohstroh Edward A. Lee 55 0 0 07 Dec 2023
Synergistic Signals: Exploiting Co-Engagement and Semantic Links via Graph Neural Networks Zijie Huang Baolin Li Hafez Asgharzadeh Anne Cocos Lingyi Liu Evan Cox Colby Wise Sudarshan Lamkhede 61 0 0 07 Dec 2023
LExCI: A Framework for Reinforcement Learning with Embedded Systems Kevin Badalian Lucas Koch Tobias Brinkmann Mario Picerno Marius Wegener Sung-Yong Lee Jakob Andert 47 3 0 05 Dec 2023
RINAS: Training with Dataset Shuffling Can Be General and Fast Tianle Zhong Jiechen Zhao Xindi Guo Qiang Su Geoffrey C. Fox 72 4 0 04 Dec 2023
Autonomous and Adaptive Role Selection for Multi-robot Collaborative Area Search Based on Deep Reinforcement Learning Lina Zhu Jiyu Cheng Hao Zhang Zhichao Cui Wei Zhang Yuehu Liu 74 1 0 04 Dec 2023
Splitwise: Efficient generative LLM inference using phase splitting Pratyush Patel Esha Choukse Chaojie Zhang Aashaka Shah Íñigo Goiri Saeed Maleki Ricardo Bianchini 91 247 0 30 Nov 2023
Low-Latency ML Inference by Grouping Correlated Data Objects and Computation Thiago Garrett Weijia Song Roman Vitenberg Ken Birman 25 0 0 30 Nov 2023
Graph Neural Networks for Pressure Estimation in Water Distribution Systems Huy Truong Andres Tello Alexander Lazovik Victoria Degeler 106 9 0 17 Nov 2023