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Showing 1451–1475 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
Fast Variational Block-Sparse Bayesian LearningCode0
Some Experiences with Hybrid Genetic Algorithms in Solving the Uncapacitated Examination Timetabling Problem—0
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
Improving Confidence in Evolutionary Mine Scheduling via Uncertainty Discounting—0
SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics—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
Value of Information Analysis for rationalising information gathering in building energy analysisCode0
Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning—0
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
Research on Multi-Agent Communication and Collaborative Decision-Making Based on Deep Reinforcement Learning—0
Semantic-aware Transmission Scheduling: a Monotonicity-driven Deep Reinforcement Learning Approach—0
Constrained Reinforcement Learning for Dynamic Material HandlingCode0
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