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Showing 3801–3825 of 5629 papers

TitleStatusHype
Practice with Graph-based ANN Algorithms on Sparse Data: Chi-square Two-tower model, HNSW, Sign Cauchy Projections—0
PREBA: A Hardware/Software Co-Design for Multi-Instance GPU based AI Inference Servers—0
Predictable Scale: Part I -- Optimal Hyperparameter Scaling Law in Large Language Model Pretraining—0
Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection—0
Prediction-Assisted Online Distributed Deep Learning Workload Scheduling in GPU Clusters—0
PredictionNet: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation—0
Prediction of GPU Failures Under Deep Learning Workloads—0
PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search—0
PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models—0
Priority-Aware Preemptive Scheduling for Mixed-Priority Workloads in MoE Inference—0
Prism: Unleashing GPU Sharing for Cost-Efficient Multi-LLM Serving—0
Privacy preserving Neural Network Inference on Encrypted Data with GPUs—0
Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption—0
Private LoRA Fine-tuning of Open-Source LLMs with Homomorphic Encryption—0
PrivateLoRA For Efficient Privacy Preserving LLM—0
PrivFT: Private and Fast Text Classification with Homomorphic Encryption—0
ProAI: An Efficient Embedded AI Hardware for Automotive Applications -- a Benchmark Study—0
Probabilistic Deep Learning using Random Sum-Product Networks—0
Probabilistic hypergraph grammars for efficient molecular optimization—0
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation—0
Probe-based Rapid Hybrid Hyperspectral and Tissue Surface Imaging Aided by Fully Convolutional Networks—0
Processing Energy Modeling for Neural Network Based Image Compression—0
Productive Reproducible Workflows for DNNs: A Case Study for Industrial Defect Detection—0
Profiling based Out-of-core Hybrid Method for Large Neural Networks—0
Progressively refined deep joint registration segmentation (ProRSeg) of gastrointestinal organs at risk: Application to MRI and cone-beam CT—0
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