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Showing 601–650 of 3104 papers

TitleStatusHype
Automatic Operator-level Parallelism Planning for Distributed Deep Learning -- A Mixed-Integer Programming Approach—0
Automatic Model Parallelism for Deep Neural Networks with Compiler and Hardware Support—0
An adaptable task-oriented dialog system for stand-alone embedded devices—0
Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models—0
Advanced Statistical Learning on Short Term Load Process Forecasting—0
Action Model Acquisition using LSTM—0
Automatic Configuration for Optimal Communication Scheduling in DNN Training—0
Automatic Block-wise Pruning with Auxiliary Gating Structures for Deep Convolutional Neural Networks—0
A Multi-timescale and Chance-Constrained Energy Dispatching Strategy of Integrated Heat-Power Community with Shared Hybrid Energy Storage—0
Automated timetabling for small colleges and high schools using huge integer programs—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—0
Advanced Scheduling of Electrolyzer Modules for Grid Flexibility—0
Automated Hybrid Reward Scheduling via Large Language Models for Robotic Skill Learning—0
Automated Heuristic Design for Unit Commitment Using Large Language Models—0
A Multi-Objective Planning and Scheduling Framework for Community Energy Storage Systems in Low Voltage Distribution Networks—0
A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids—0
ActCooLR – High-Level Learning Rate Schedules using Activation Pattern Temperature—0
Accelerated Distributed Allocation—0
Scalability of Reinforcement Learning Methods for Dispatching in Semiconductor Frontend Fabs: A Comparison of Open-Source Models with Real Industry Datasets—0
Automated Generation of Precedence Graphs in Digital Value Chains for Automotive Production—0
Automated deep reinforcement learning for real-time scheduling strategy of multi-energy system integrated with post-carbon and direct-air carbon captured system—0
A Multi-Agent System Approach to Load-Balancing and Resource Allocation for Distributed Computing—0
Automated Conversion of Static to Dynamic Scheduler via Natural Language—0
Automated Algorithm Selection: Survey and Perspectives—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—0
A Distributed Neural Linear Thompson Sampling Framework to Achieve URLLC in Industrial IoT—0
AutoLoss: Learning Discrete Schedule for Alternate Optimization—0
A Model Predictive Control Scheme for Flight Scheduling and Energy Management of Electric Aviation Networks—0
AutoLoRa: A Parameter-Free Automated Robust Fine-Tuning Framework—0
AutoHete: An Automatic and Efficient Heterogeneous Training System for LLMs—0
A Model for Optimal Resilient Planning Subject to Fallible Actuators—0
A Distance Similarity-based Genetic Optimization Algorithm for Satellite Ground Network Planning Considering Feeding Mode—0
A convex mathematical program for pump scheduling in a class of branched water networks—0
Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling—0
A Model-Based Approach for Flight Delay Prediction—0
AutoDirector: Online Auto-scheduling Agents for Multi-sensory Composition—0
A Minimax Framework for Two-Agent Scheduling with Inertial Constraints—0
A Discrete-time Dynamical Model for Optimal Dispatching and Rebalancing of Autonomous Mobility-on-Demand Systems—0
Autellix: An Efficient Serving Engine for LLM Agents as General Programs—0
A User Study on Contrastive Explanations for Multi-Effector Temporal Planning with Non-Stationary Costs—0
A Meta-Learning Approach for Multi-Objective Reinforcement Learning in Sustainable Home Environments—0
A unified heuristic and an annotated bibliography for a large class of earliness-tardiness scheduling problems—0
A metaheuristic for crew scheduling in a pickup-and-delivery problem with time windows—0
A Differentiable Framework for End-to-End Learning of Hybrid Structured Compression—0
A Constraint Programming Model For Serial Batch Scheduling With Minimum Batch Size—0
Accelerated Cloud for Artificial Intelligence (ACAI)—0
A Unified Energy Management Framework for Multi-Timescale Forecasting in Smart Grids—0
A Memetic Algorithm with Reinforcement Learning for Sociotechnical Production Scheduling—0
A unified decision making framework for supply and demand management in microgrid networks—0
Auction designs to increase incentive compatibility and reduce self-scheduling in electricity markets—0
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