Title
Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level Chase Yakaboski E. Santos 21 2 0 08 Mar 2023
AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures A. Yanguas-Gil Sandeep Madireddy 19 3 0 26 Feb 2023
FLINT: A Platform for Federated Learning Integration Ewen N. Wang Ajaykumar Kannan Yuefeng Liang Boyi Chen Mosharaf Chowdhury 40 24 0 24 Feb 2023
EvoTorch: Scalable Evolutionary Computation in Python N. E. Toklu Timothy James Atkinson Vojtvech Micka Paweł Liskowski R. Srivastava 16 12 0 24 Feb 2023
pykanto: a python library to accelerate research on wild bird song Nilo Merino Recalde 24 7 0 20 Feb 2023
RayNet: A Simulation Platform for Developing Reinforcement Learning-Driven Network Protocols Luca Giacomoni Basil Benny G. Parisis 22 3 0 09 Feb 2023
Landscape of High-performance Python to Develop Data Science and Machine Learning Applications Oscar Castro P. Bruneau Jean-Sébastien Sottet D. Torregrossa 13 7 0 07 Feb 2023
Distributed Swarm Intelligence Karthik Reddy Kanjula Sai Meghana Kolla 6 0 0 30 Jan 2023
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data Devansh Arpit M. Fernández Itai Feigenbaum Weiran Yao Chenghao Liu ... Haiquan Wang Stephen Hoi Caiming Xiong Anton van den Hengel Juan Carlos Niebles CML 32 1 0 25 Jan 2023
Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment Nikolay O. Nikitin Sergey Teryoshkin Valerii Pokrovskii Sergey Pakulin D. Nasonov 28 1 0 12 Jan 2023
Privacy and Efficiency of Communications in Federated Split Learning Zongshun Zhang Andrea Pinto Valeria Turina Flavio Esposito I. Matta FedML 38 32 0 04 Jan 2023
Kernel-as-a-Service: A Serverless Interface to GPUs Nathan Pemberton Anton Zabreyko Zhoujie Ding R. Katz Joseph E. Gonzalez 29 8 0 15 Dec 2022
Optimal Planning of Hybrid Energy Storage Systems using Curtailed Renewable Energy through Deep Reinforcement Learning Dongju Kang Doeun Kang Sumin Hwangbo Haider Niaz Won Bo Lee J. J. Liu Jonggeol Na 13 31 0 12 Dec 2022
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization Qiqi Duan Guochen Zhou Chang Shao Zhuowei Wang Mingyang Feng Yuwei Huang Yajing Tan Yijun Yang Qi Zhao Yuhui Shi 31 5 0 12 Dec 2022
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning Ramij-Raja Hossain Tianzhixi Yin Yan Du Renke Huang Jie Tan Wenhao Yu Yuan Liu Qiuhua Huang 43 0 0 06 Dec 2022
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox Qiyue Yin Tongtong Yu S. Shen Jun Yang Meijing Zhao Kaiqi Huang Bin Liang Liangsheng Wang OffRL 20 13 0 01 Dec 2022
Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework Wonjin Yoon Richard Jackson Elliot Ford V. Poroshin Jaewoo Kang 23 3 0 01 Dec 2022
Using uncertainty-aware machine learning models to study aerosol-cloud interactions Maelys Solal Andrew Jesson Y. Gal A. Douglas 16 0 0 30 Nov 2022
Colocating Real-time Storage and Processing: An Analysis of Pull-based versus Push-based Streaming Ovidiu-Cristian Marcu Pascal Bouvry AI4TS 6 0 0 10 Nov 2022
GradSkip: Communication-Accelerated Local Gradient Methods with Better Computational Complexity A. Maranjyan M. Safaryan Peter Richtárik 34 13 0 28 Oct 2022
Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings Ryan Yang Haizhou Du Andre Wibisono Patrick Baker 11 1 0 28 Oct 2022
Deep Inventory Management Dhruv Madeka Kari Torkkola Carson Eisenach Anna Luo Dean Phillips Foster Sham M. Kakade BDL 42 15 0 06 Oct 2022
Safe Self-Supervised Learning in Real of Visuo-Tactile Feedback Policies for Industrial Insertion Letian Fu Huang Huang Lars Berscheid Hui Li Ken Goldberg Sachin Chitta 36 18 0 04 Oct 2022
MSRL: Distributed Reinforcement Learning with Dataflow Fragments Huanzhou Zhu Bo Zhao Gang Chen Weifeng Chen Yijie Chen Liang Shi Yaodong Yang Peter R. Pietzuch Lei Chen OffRL MoE 16 6 0 03 Oct 2022
Deep Lake: a Lakehouse for Deep Learning S. Hambardzumyan Abhina Tuli Levon Ghukasyan Fariz Rahman Hrant Topchyan ... Mark McQuade M. Harutyunyan Tatevik Hakobyan I. Stranic Davit Buniatyan 13 17 0 22 Sep 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 31 5 0 21 Sep 2022
T3VIP: Transformation-based 3D Video Prediction Iman Nematollahi Erick Rosete-Beas Seyed Mahdi B. Azad Raghunandan Rajan Frank Hutter Wolfram Burgard VGen 60 1 0 19 Sep 2022
High Performance Dataframes from Parallel Processing Patterns Niranda Perera Supun Kamburugamuve Chathura Widanage V. Abeykoon A. Uyar Kaiying Shan Hasara Maithree Damitha Sandeepa Lenadora Thejaka Amila Kanewala Geoffrey C. Fox 8 5 0 13 Sep 2022
Distributed Ensembles of Reinforcement Learning Agents for Electricity Control Pierrick Pochelu S. Petiton B. Conche AI4CE 28 2 0 30 Aug 2022
A Modular Framework for Reinforcement Learning Optimal Execution Fernando de Meer Pardo Christoph Auth F. Dascalu OffRL 18 0 0 11 Aug 2022
ACE: Adaptive Constraint-aware Early Stopping in Hyperparameter Optimization Yi-Wei Chen Chi Wang A. Saied Rui Zhuang 19 2 0 04 Aug 2022
Learning robust marking policies for adaptive mesh refinement A. Gillette B. Keith S. Petrides 31 11 0 13 Jul 2022
Protea: Client Profiling within Federated Systems using Flower Wanru Zhao Xinchi Qiu Javier Fernandez-Marques Pedro Porto Buarque de Gusmão Nicholas D. Lane 27 6 0 03 Jul 2022
NumS: Scalable Array Programming for the Cloud Melih Elibol Vinamra Benara Samyukta Yagati Lianmin Zheng Alvin Cheung Michael I. Jordan Ion Stoica 18 4 0 28 Jun 2022
EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine Jiayi Weng Min-Bin Lin Shengyi Huang Bo Liu Denys Makoviichuk ... Yufan Song Ting Luo Yukun Jiang Zhongwen Xu Shuicheng Yan MoE 16 59 0 21 Jun 2022
GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing Yuke Wang Boyuan Feng Zhilin Wang Tong Geng Ang Li Yufei Ding AI4CE 49 0 0 16 Jun 2022
AAM-Gym: Artificial Intelligence Testbed for Advanced Air Mobility Marc Brittain Luis E. Alvarez Kara Breeden Ian Jessen 14 8 0 09 Jun 2022
Decentralized Training of Foundation Models in Heterogeneous Environments Binhang Yuan Yongjun He Jared Davis Tianyi Zhang Tri Dao Beidi Chen Percy Liang Christopher Ré Ce Zhang 27 90 0 02 Jun 2022
Impartial Games: A Challenge for Reinforcement Learning Bei Zhou Søren Riis 29 6 0 25 May 2022
Unified Distributed Environment Woong Gyu La Sunil Muralidhara Ling-Xue Kong Pratik Nichat 22 2 0 14 May 2022
Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures Yongji Wu Matthew Lentz Danyang Zhuo Yao Lu 29 22 0 10 May 2022
Watts: Infrastructure for Open-Ended Learning Aaron Dharna Charlie Summers Rohin Dasari Julian Togelius Amy K. Hoover 22 1 0 28 Apr 2022
Scalable Sensitivity and Uncertainty Analysis for Causal-Effect Estimates of Continuous-Valued Interventions Andrew Jesson A. Douglas P. Manshausen Maelys Solal N. Meinshausen P. Stier Y. Gal Uri Shalit CML 20 26 0 21 Apr 2022
Pathways: Asynchronous Distributed Dataflow for ML P. Barham Aakanksha Chowdhery J. Dean Sanjay Ghemawat Steven Hand ... Parker Schuh Ryan Sepassi Laurent El Shafey C. A. Thekkath Yonghui Wu GNN MoE 45 126 0 23 Mar 2022
Adaptive Aggregation For Federated Learning K. R. Jayaram Vinod Muthusamy Gegi Thomas Ashish Verma Mark Purcell FedML 30 16 0 23 Mar 2022
Automatic Parallelization of Python Programs for Distributed Heterogeneous Computing J. Shirako Akihiro Hayashi S. Paul Alexey Tumanov Vivek Sarkar 8 4 0 11 Mar 2022
A comparative study of non-deep learning, deep learning, and ensemble learning methods for sunspot number prediction Yuchen Dang Ziqi Chen Heng Li Hai Shu ELM BDL 21 26 0 11 Mar 2022
Avalanche RL: a Continual Reinforcement Learning Library Nicolo Lucchesi Antonio Carta Vincenzo Lomonaco Davide Bacciu 29 6 0 28 Feb 2022
Gradient-free Multi-domain Optimization for Autonomous Systems Hongrui Zheng Johannes Betz Rahul Mangharam 14 7 0 28 Feb 2022
DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models A. Treacher A. Montillo 19 0 0 24 Feb 2022