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Showing 601–625 of 3104 papers
Title
Date
Tasks
Status
Hype
Score
Automatic Operator-level Parallelism Planning for Distributed Deep Learning -- A Mixed-Integer Programming Approach
Mar 12, 2025
Computational Efficiency
Mixture-of-Experts
—
Unverified
0
0
Automatic Model Parallelism for Deep Neural Networks with Compiler and Hardware Support
Jun 11, 2019
Scheduling
Translation
—
Unverified
0
0
An adaptable task-oriented dialog system for stand-alone embedded devices
Jul 1, 2019
Dialogue Management
Management
—
Unverified
0
0
Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models
Mar 18, 2025
Code Generation
Computational Efficiency
—
Unverified
0
0
Advanced Statistical Learning on Short Term Load Process Forecasting
Oct 19, 2021
Decision Making
Management
—
Unverified
0
0
Action Model Acquisition using LSTM
Oct 3, 2018
model
Scheduling
—
Unverified
0
0
Automatic Configuration for Optimal Communication Scheduling in DNN Training
Dec 27, 2021
Bayesian Optimization
Scheduling
—
Unverified
0
0
Automatic Block-wise Pruning with Auxiliary Gating Structures for Deep Convolutional Neural Networks
May 7, 2022
Knowledge Distillation
Model Compression
—
Unverified
0
0
A Multi-timescale and Chance-Constrained Energy Dispatching Strategy of Integrated Heat-Power Community with Shared Hybrid Energy Storage
Oct 23, 2023
Scheduling
—
Unverified
0
0
Automated timetabling for small colleges and high schools using huge integer programs
Dec 28, 2016
Scheduling
—
Unverified
0
0
A Multi-step and Resilient Predictive Q-learning Algorithm for IoT with Human Operators in the Loop: A Case Study in Water Supply Networks
Jun 6, 2020
Q-Learning
Scheduling
—
Unverified
0
0
Advanced Scheduling of Electrolyzer Modules for Grid Flexibility
Dec 26, 2024
Scheduling
—
Unverified
0
0
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning
May 5, 2025
Reinforcement Learning (RL)
Scheduling
—
Unverified
0
0
Automated Heuristic Design for Unit Commitment Using Large Language Models
Jun 14, 2025
Scheduling
—
Unverified
0
0
A Multi-Objective Planning and Scheduling Framework for Community Energy Storage Systems in Low Voltage Distribution Networks
Jan 6, 2023
energy trading
Scheduling
—
Unverified
0
0
A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids
Mar 25, 2024
Model Predictive Control
Scheduling
—
Unverified
0
0
ActCooLR – High-Level Learning Rate Schedules using Activation Pattern Temperature
May 21, 2021
image-classification
Image Classification
—
Unverified
0
0
Accelerated Distributed Allocation
Jan 28, 2024
CPU
Management
—
Unverified
0
0
Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets
May 16, 2025
CPU
Scheduling
—
Unverified
0
0
Automated Generation of Precedence Graphs in Digital Value Chains for Automotive Production
Apr 28, 2025
Graph Generation
Scheduling
—
Unverified
0
0
Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system
Jan 18, 2023
Deep Reinforcement Learning
Scheduling
—
Unverified
0
0
A Multi-Agent System Approach to Load-Balancing and Resource Allocation for Distributed Computing
Sep 21, 2015
CPU
Distributed Computing
—
Unverified
0
0
Automated Conversion of Static to Dynamic Scheduler via Natural Language
May 8, 2024
RAG
Retrieval
—
Unverified
0
0
Automated Algorithm Selection: Survey and Perspectives
Nov 28, 2018
Scheduling
Survey
—
Unverified
0
0
A Monotone Approximate Dynamic Programming Approach for the Stochastic Scheduling, Allocation, and Inventory Replenishment Problem: Applications to Drone and Electric Vehicle Battery Swap Stations
May 14, 2021
regression
Scheduling
—
Unverified
0
0
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