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Showing 1301–1350 of 3104 papers

TitleStatusHype
TSNet-SAC: Leveraging Transformers for Efficient Task Scheduling—0
Dynamic Size Message Scheduling for Multi-Agent Communication under Limited Bandwidth—0
Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection—0
Decentralized Social Navigation with Non-Cooperative Robots via Bi-Level OptimizationCode1
Integrating machine learning paradigms and mixed-integer model predictive control for irrigation scheduling—0
Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats—0
KAPLA: Pragmatic Representation and Fast Solving of Scalable NN Accelerator Dataflow—0
Sensing-Aided Peer-to-Peer Millimeter-Wave Communication—0
An End-to-End Reinforcement Learning Approach for Job-Shop Scheduling Problems Based on Constraint ProgrammingCode1
Policy-Based Self-Competition for Planning ProblemsCode0
Continual Learning in Linear Classification on Separable Data—0
Onsite Job Scheduling by Adaptive Genetic AlgorithmCode0
Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment—0
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial OptimizationCode0
Fast Variational Block-Sparse Bayesian LearningCode0
Some Experiences with Hybrid Genetic Algorithms in Solving the Uncapacitated Examination Timetabling Problem—0
On the Weight Dynamics of Deep Normalized Networks—0
PlaSma: Making Small Language Models Better Procedural Knowledge Models for (Counterfactual) PlanningCode1
Detection for Flat-Fading Channels based on Expectation Propagation—0
SheetCopilot: Bringing Software Productivity to the Next Level through Large Language ModelsCode1
NicePIM: Design Space Exploration for Processing-In-Memory DNN Accelerators with 3D-Stacked-DRAM—0
Nested Diffusion Processes for Anytime Image GenerationCode1
SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics—0
An Emergency Disposal Decision-making Method with Human--Machine Collaboration—0
Improving Confidence in Evolutionary Mine Scheduling via Uncertainty Discounting—0
Towards Confidential Computing: A Secure Cloud Architecture for Big Data Analytics and AI—0
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning—0
Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning—0
Value of Information Analysis for rationalising information gathering in building energy analysisCode0
Reconfigurable Distributed FPGA Cluster Design for Deep Learning Accelerators—0
Sensitivity-Informed Parameter Selection for Improved Soil Moisture Estimation from Remote Sensing Data—0
Dynamic Masking Rate Schedules for MLM Pretraining—0
FedZero: Leveraging Renewable Excess Energy in Federated LearningCode1
Research on Multi-Agent Communication and Collaborative Decision-Making Based on Deep Reinforcement Learning—0
OlaGPT: Empowering LLMs With Human-like Problem-Solving AbilitiesCode0
Downlink Clustering-Based Scheduling of IRS-Assisted Communications With Reconfiguration Constraints—0
Constrained Reinforcement Learning for Dynamic Material HandlingCode0
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach—0
Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization—0
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference PipelineCode1
When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework—0
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare—0
Logic-Based Benders Decomposition in Answer Set Programming for Chronic Outpatients Scheduling—0
DClEVerNet: Deep Combinatorial Learning for Efficient EV Charging Scheduling in Large-scale Networked Facilities—0
Curriculum Learning in Job Shop Scheduling using Reinforcement Learning—0
A hybrid feature learning approach based on convolutional kernels for ATM fault prediction using event-log dataCode0
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments—0
Mastering the exploration-exploitation trade-off in Bayesian Optimization—0
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks—0
Graph Neural Networks-Based User Pairing in Wireless Communication SystemsCode1
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