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Showing 526–550 of 3104 papers
Title
Date
Tasks
Status
Hype
NEO: Saving GPU Memory Crisis with CPU Offloading for Online LLM Inference
Nov 2, 2024
Code Generation
CPU
Code
Code Available
0
Enhancing Adaptive Mixed-Criticality Scheduling with Deep Reinforcement Learning
Nov 1, 2024
Deep Reinforcement Learning
reinforcement-learning
—
Unverified
0
Multi-Agent Deep Q-Network with Layer-based Communication Channel for Autonomous Internal Logistics Vehicle Scheduling in Smart Manufacturing
Nov 1, 2024
Scheduling
—
Unverified
0
DynaSplit: A Hardware-Software Co-Design Framework for Energy-Aware Inference on Edge
Oct 31, 2024
CPU
Scheduling
—
Unverified
0
ALISE: Accelerating Large Language Model Serving with Speculative Scheduling
Oct 31, 2024
Blocking
Language Modeling
—
Unverified
0
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection
Oct 30, 2024
Continual Learning
Hallucination
—
Unverified
0
Automatic programming via large language models with population self-evolution for dynamic job shop scheduling problem
Oct 30, 2024
Deep Reinforcement Learning
Evolutionary Algorithms
—
Unverified
0
Planning and Learning in Risk-Aware Restless Multi-Arm Bandit Problem
Oct 30, 2024
Scheduling
Thompson Sampling
—
Unverified
0
Bayesian Counterfactual Prediction Models for HIV Care Retention with Incomplete Outcome and Covariate Information
Oct 29, 2024
Causal Inference
counterfactual
—
Unverified
0
How Does Critical Batch Size Scale in Pre-training?
Oct 29, 2024
Scheduling
Code
Code Available
1
Carbon-Aware Computing for Data Centers with Probabilistic Performance Guarantees
Oct 28, 2024
Cloud Computing
Computational Efficiency
—
Unverified
0
Quantum Reinforcement Learning-Based Two-Stage Unit Commitment Framework for Enhanced Power Systems Robustness
Oct 28, 2024
Computational Efficiency
Decision Making
—
Unverified
0
SparseTem: Boosting the Efficiency of CNN-Based Video Encoders by Exploiting Temporal Continuity
Oct 28, 2024
Autonomous Driving
object-detection
—
Unverified
0
Capacity-Aware Planning and Scheduling in Budget-Constrained Monotonic MDPs: A Meta-RL Approach
Oct 28, 2024
Industrial Robots
Scheduling
—
Unverified
0
Age of Information-Oriented Probabilistic Link Scheduling for Device-to-Device Networks
Oct 26, 2024
Graph Neural Network
Scheduling
—
Unverified
0
Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design
Oct 24, 2024
Mixture-of-Experts
MMLU
Code
Code Available
1
Applying Neural Monte Carlo Tree Search to Unsignalized Multi-intersection Scheduling for Autonomous Vehicles
Oct 24, 2024
Autonomous Vehicles
Scheduling
—
Unverified
0
Optimizing Load Scheduling in Power Grids Using Reinforcement Learning and Markov Decision Processes
Oct 23, 2024
Management
Q-Learning
—
Unverified
0
Fast Inference for Augmented Large Language Models
Oct 23, 2024
Scheduling
—
Unverified
0
Exploiting Data Centres and Local Energy Communities Synergies for Market Participation
Oct 23, 2024
energy management
Management
—
Unverified
0
Is the GPU Half-Empty or Half-Full? Practical Scheduling Techniques for LLMs
Oct 23, 2024
GPU
Scheduling
—
Unverified
0
ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference
Oct 23, 2024
Computational Efficiency
CPU
—
Unverified
0
MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers
Oct 23, 2024
Neural Architecture Search
Scheduling
—
Unverified
0
A Surrogate Model for Quay Crane Scheduling Problem
Oct 22, 2024
model
Scheduling
—
Unverified
0
AI-focused HPC Data Centers Can Provide More Power Grid Flexibility and at Lower Cost
Oct 22, 2024
CPU
GPU
—
Unverified
0
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