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Showing 1451–1500 of 3104 papers

TitleStatusHype
Sensing-Aided Peer-to-Peer Millimeter-Wave Communication—0
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
On the Weight Dynamics of Deep Normalized Networks—0
Some Experiences with Hybrid Genetic Algorithms in Solving the Uncapacitated Examination Timetabling Problem—0
Fast Variational Block-Sparse Bayesian LearningCode0
Detection for Flat-Fading Channels based on Expectation Propagation—0
NicePIM: Design Space Exploration for Processing-In-Memory DNN Accelerators with 3D-Stacked-DRAM—0
SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics—0
Improving Confidence in Evolutionary Mine Scheduling via Uncertainty Discounting—0
An Emergency Disposal Decision-making Method with Human--Machine Collaboration—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
Dynamic Masking Rate Schedules for MLM Pretraining—0
Sensitivity-Informed Parameter Selection for Improved Soil Moisture Estimation from Remote Sensing Data—0
Reconfigurable Distributed FPGA Cluster Design for Deep Learning Accelerators—0
Downlink Clustering-Based Scheduling of IRS-Assisted Communications With Reconfiguration Constraints—0
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach—0
OlaGPT: Empowering LLMs With Human-like Problem-Solving AbilitiesCode0
Constrained Reinforcement Learning for Dynamic Material HandlingCode0
Research on Multi-Agent Communication and Collaborative Decision-Making Based on Deep Reinforcement Learning—0
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare—0
Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization—0
When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework—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
DA-LSTM: A Dynamic Drift-Adaptive Learning Framework for Interval Load Forecasting with LSTM Networks—0
Mastering the exploration-exploitation trade-off in Bayesian Optimization—0
FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments—0
Optimizing Forest Fire Prevention: Intelligent Scheduling Algorithms for Drone-Based Surveillance System—0
Proportional Fair Scheduling Using Water-Filling Technique for SC-FDMA Based D2D Communication—0
A Bayesian Approach to Characterize Unknown Interference Power in Wireless Networks—0
Optimizing Memory Mapping Using Deep Reinforcement Learning—0
SmartPhone: Exploring Keyword Mnemonic with Auto-generated Verbal and Visual Cues—0
Learning-Augmented Online Packet Scheduling with Deadlines—0
Fast Distributed Inference Serving for Large Language Models—0
Multi-Scale Energy (MuSE) plug and play framework for inverse problems—0
The Role of Data Curation in Image CaptioningCode0
Over-the-Air Federated Averaging with Limited Power and Privacy Budgets—0
Learnability with Time-Sharing Computational Resource Concerns—0
Reducing End-to-End Latencies of Multi-Rate Cause-Effect Chains for the LET Model—0
Dynamic Scheduling for Federated Edge Learning with Streaming Data—0
A Model-Based Approach for Flight Delay Prediction—0
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