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Showing 2251–2300 of 3104 papers

TitleStatusHype
SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting—0
SpecRouter: Adaptive Routing for Multi-Level Speculative Decoding in Large Language Models—0
Speculative MoE: Communication Efficient Parallel MoE Inference with Speculative Token and Expert Pre-scheduling—0
Speeding Up Distributed Pseudo-tree Optimization Procedure with Cross Edge Consistency to Solve DCOPs—0
Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary—0
SpikePipe: Accelerated Training of Spiking Neural Networks via Inter-Layer Pipelining and Multiprocessor Scheduling—0
SPINE: a scalable log parser with feedback guidance—0
Split-Aperture Phased Array Radar Resource Management for Tracking Tasks—0
SPOT: Spatio-Temporal Pattern Mining and Optimization for Load Consolidation in Freight Transportation Networks—0
On the Weight Dynamics of Deep Normalized Networks—0
Squeezing nnU-Nets with Knowledge Distillation for On-Board Cloud Detection—0
S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima—0
Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning—0
Stability Constrained Optimization in High IBR-Penetrated Power Systems-Part II: Constraint Validation and Applications—0
Stability Constrained Optimization in High IBR-Penetrated Power Systems-Part I: Constraint Development and Unification—0
Stabilizing scheduling logic for networked control systems under limited capacity and lossy communication networks—0
Stable Reinforcement Learning with Unbounded State Space—0
Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks—0
Stackelberg game-based optimal scheduling of integrated energy systems considering differences in heat demand across multi-functional areas—0
Standardized feature extraction from pairwise conflicts applied to the train rescheduling problem—0
State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination—0
State-Dependent Processing in Payment Channel Networks for Throughput Optimization—0
State-Novelty Guided Action Persistence in Deep Reinforcement Learning—0
Statistical Adaptive Stochastic Optimization—0
Statistical Analysis and Optimization of a Fifth-Percentile User Rate Constrained Design for FFR/SFR-Aided OFDMA-Based Cellular Networks—0
STDA-Meta: A Meta-Learning Framework for Few-Shot Traffic Prediction—0
Stochastic Event-based Sensor Schedules for Remote State Estimation in Cognitive Radio Sensor Networks—0
Stochastic Lp string stability analysis in predecessor-following platoons under packet losses—0
Stochastic optimal scheduling of demand response-enabled microgrids with renewable generations: An analytical-heuristic approach—0
Stochastic Phased Array Performance Indicators for Quality-of-Service-Enhanced Massive MIMO—0
Stochastic Pre-Event Preparation for Enhancing Resilience of Distribution Systems with High DER Penetration—0
Strategic Data Augmentation with CTGAN for Smart Manufacturing: Enhancing Machine Learning Predictions of Paper Breaks in Pulp-and-Paper Production—0
Learnability with Time-Sharing Computational Resource Concerns—0
Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion—0
StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation—0
Strength-Adaptive Adversarial Training—0
Stretching Rubber, Not Budgets: Accurate Parking Utilization on a Shoestring—0
Strict Partitioning for Sporadic Rigid Gang Tasks—0
Strong Priority and Determinacy in Timed CCS—0
Structure-Enhanced Deep Reinforcement Learning for Optimal Transmission Scheduling—0
Structure-Enhanced DRL for Optimal Transmission Scheduling—0
Study of BSM Inter-Packet Gap Tails in C-V2X Networks—0
Study on the Large Batch Size Training of Neural Networks Based on the Second Order Gradient—0
Subgraph Extraction-based Feedback-guided Iterative Scheduling for HLS—0
Submodular Function Maximization for Group Elevator Scheduling—0
Sum Throughput Maximization in Multi-BD Symbiotic Radio NOMA Network Assisted by Active-STAR-RIS—0
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks—0
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction—0
SuperServe: Fine-Grained Inference Serving for Unpredictable Workloads—0
Supervised-learning-based Optimal Thermal Management in an Electric Vehicle—0
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