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Showing 626–650 of 3104 papers
Title
Date
Tasks
Status
Hype
Score
A Distributed Neural Linear Thompson Sampling Framework to Achieve URLLC in Industrial IoT
Nov 21, 2023
Scheduling
Thompson Sampling
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Unverified
0
0
AutoLoss: Learning Discrete Schedule for Alternate Optimization
Sep 27, 2018
Image Generation
Machine Translation
—
Unverified
0
0
A Model Predictive Control Scheme for Flight Scheduling and Energy Management of Electric Aviation Networks
Apr 14, 2024
energy management
Management
—
Unverified
0
0
AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework
Oct 3, 2023
Adversarial Robustness
Scheduling
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Unverified
0
0
AutoHete: An Automatic and Efficient Heterogeneous Training System for LLMs
Feb 27, 2025
CPU
GPU
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Unverified
0
0
A Model for Optimal Resilient Planning Subject to Fallible Actuators
May 18, 2024
Scheduling
—
Unverified
0
0
A Distance Similarity-based Genetic Optimization Algorithm for Satellite Ground Network Planning Considering Feeding Mode
Aug 29, 2024
Scheduling
—
Unverified
0
0
A convex mathematical program for pump scheduling in a class of branched water networks
Jan 1, 2017
Scheduling
—
Unverified
0
0
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling
Mar 25, 2020
Diversity
Few-Shot Learning
—
Unverified
0
0
A Model-Based Approach for Flight Delay Prediction
May 1, 2023
Classification
Clustering
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Unverified
0
0
AutoDirector: Online Auto-scheduling Agents for Multi-sensory Composition
Aug 21, 2024
Scheduling
—
Unverified
0
0
A Minimax Framework for Two-Agent Scheduling with Inertial Constraints
Jan 13, 2022
Scheduling
Vocal Bursts Valence Prediction
—
Unverified
0
0
A Discrete-time Dynamical Model for Optimal Dispatching and Rebalancing of Autonomous Mobility-on-Demand Systems
Feb 3, 2024
Autonomous Vehicles
Model Predictive Control
—
Unverified
0
0
Autellix: An Efficient Serving Engine for LLM Agents as General Programs
Feb 19, 2025
Blocking
Language Modeling
—
Unverified
0
0
A User Study on Contrastive Explanations for Multi-Effector Temporal Planning with Non-Stationary Costs
Sep 20, 2024
Scheduling
—
Unverified
0
0
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments
Jul 16, 2024
energy management
Meta-Learning
—
Unverified
0
0
A unified heuristic and an annotated bibliography for a large class of earliness-tardiness scheduling problems
Sep 8, 2015
Scheduling
—
Unverified
0
0
A metaheuristic for crew scheduling in a pickup-and-delivery problem with time windows
Feb 2, 2021
Scheduling
—
Unverified
0
0
A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression
Sep 21, 2023
Scheduling
—
Unverified
0
0
A Constraint Programming Model For Serial Batch Scheduling With Minimum Batch Size
Apr 7, 2025
Scheduling
—
Unverified
0
0
Accelerated Cloud for Artificial Intelligence (ACAI)
Jan 30, 2024
Scheduling
—
Unverified
0
0
A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids
Nov 22, 2024
energy management
Load Forecasting
—
Unverified
0
0
A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling
Dec 21, 2022
Deep Reinforcement Learning
Job Shop Scheduling
—
Unverified
0
0
A unified decision making framework for supply and demand management in microgrid networks
Nov 14, 2017
Decision Making
Management
—
Unverified
0
0
Auction designs to increase incentive compatibility and reduce self-scheduling in electricity markets
Dec 20, 2022
Scheduling
—
Unverified
0
0
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