Title
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RAIN: Reinforcement Algorithms for Improving Numerical Weather and Climate Models Pritthijit Nath Henry Moss Emily Shuckburgh Mark Webb AI4Cl AI4CE 34 0 0 28 Aug 2024
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TADA: Temporal Adversarial Data Augmentation for Time Series Data Byeong Tak Lee Joon-Myoung Kwon Yong-Yeon Jo TTA 36 0 0 21 Jul 2024
Learning Interpretable Differentiable Logic Networks Chang Yue N. Jha NAI AI4CE 29 0 0 04 Jul 2024
Object Proxy Patterns for Accelerating Distributed Applications J. G. Pauloski Valérie Hayot-Sasson Logan T. Ward Alexander Brace André Bauer Kyle Chard Ian Foster AI4CE 48 7 0 01 Jul 2024
Teola: Towards End-to-End Optimization of LLM-based Applications Xin Tan Yimin Jiang Yitao Yang Hong-Yu Xu 70 5 0 29 Jun 2024
A Survey on Failure Analysis and Fault Injection in AI Systems Guangba Yu Gou Tan Haojia Huang Zhenyu Zhang Pengfei Chen Roberto Natella Zibin Zheng 36 3 0 28 Jun 2024
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks Aidan Furlong Farah Alsafadi S. Palmtag Andrew Godfrey Xu Wu 57 1 0 27 Jun 2024
How to Rent GPUs on a Budget Zhouzi Li Benjamin Berg Arpan Mukhopadhyay Mor Harchol-Balter 20 0 0 21 Jun 2024
Combining X-Vectors and Bayesian Batch Active Learning: Two-Stage Active Learning Pipeline for Speech Recognition O. Kundacina V. Vincan D. Mišković BDL 101 0 0 03 May 2024
Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments Mohak Chadha Alexander Jensen Jianfeng Gu Osama Abboud Michael Gerndt 31 0 0 22 Apr 2024
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning Hui Bai Ran Cheng 53 4 0 12 Apr 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 45 2 0 24 Mar 2024
Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data YongKyung Oh Dongyoung Lim Sungil Kim AI4TS 43 12 0 22 Feb 2024
Efficient Models for the Detection of Hate, Abuse and Profanity Christoph Tillmann Aashka Trivedi Bishwaranjan Bhattacharjee VLM 16 0 0 08 Feb 2024
Software Resource Disaggregation for HPC with Serverless Computing Marcin Copik Marcin Chrapek Larissa Schmid A. Calotoiu Torsten Hoefler 41 9 0 19 Jan 2024
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Splitwise: Efficient generative LLM inference using phase splitting Pratyush Patel Esha Choukse Chaojie Zhang Aashaka Shah Íñigo Goiri Saeed Maleki Ricardo Bianchini 47 197 0 30 Nov 2023
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 37 4 0 06 Nov 2023
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Smooth Exact Gradient Descent Learning in Spiking Neural Networks Christian Klos Raoul-Martin Memmesheimer 43 6 0 25 Sep 2023
DPA Load Balancer: Load balancing for Data Parallel Actor-based systems Ziheng Wang Atem Aguer Amir Ziai MoE 16 0 0 02 Aug 2023
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search A. Chebykin A. Dushatskiy Tanja Alderliesten Peter A. N. Bosman 39 0 0 28 Jul 2023
FedZero: Leveraging Renewable Excess Energy in Federated Learning Philipp Wiesner R. Khalili Dennis Grinwald Pratik Agrawal L. Thamsen O. Kao 24 14 0 24 May 2023
CLIP4STR: A Simple Baseline for Scene Text Recognition with Pre-trained Vision-Language Model Shuai Zhao Xiaohan Wang Linchao Zhu Yezhou Yang CLIP VLM 23 25 0 23 May 2023
Integrated Conflict Management for UAM with Strategic Demand Capacity Balancing and Learning-based Tactical Deconfliction Shulu Chen A. Evans Marc Brittain Peng Wei 21 15 0 17 May 2023
WeLayout: WeChat Layout Analysis System for the ICDAR 2023 Competition on Robust Layout Segmentation in Corporate Documents Mingliang Zhang Zhen Cao Juntao Liu Liqiang Niu Fandong Meng Jie Zhou 42 6 0 11 May 2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow Dongkun Zhang Jintao Xue Yuxiang Cui Yunkai Wang Eryun Liu Wei Jing Junbo Chen R. Xiong Yue Wang 41 0 0 25 Apr 2023
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations Qiqi Duan Chang Shao Guochen Zhou Hao Yang Qi Zhao Yuhui Shi 22 4 0 11 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 30 41 0 07 Apr 2023
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning Shuhan Qi Shuhao Zhang Qiang-qiang Wang Jia-jia Zhang Jing Xiao Xinyu Wang 34 0 0 16 Mar 2023
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources Logan T. Ward J. G. Pauloski Valérie Hayot-Sasson Ryan Chard Y. Babuji Ganesh Sivaraman Sutanay Choudhury Kyle Chard R. Thakur Ian Foster 32 9 0 15 Mar 2023
MCTS-GEB: Monte Carlo Tree Search is a Good E-graph Builder Guoliang He Zak Singh Eiko Yoneki 20 4 0 08 Mar 2023