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Showing 3801–3850 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
ProMoE: Fast MoE-based LLM Serving using Proactive Caching—0
PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs—0
Prompts to Summaries: Zero-Shot Language-Guided Video Summarization—0
Properties on n-dimensional convolution for image deconvolution—0
PropNEAT -- Efficient GPU-Compatible Backpropagation over NeuroEvolutionary Augmenting Topology Networks—0
Protea: Client Profiling within Federated Systems using Flower—0
ProTEA: Programmable Transformer Encoder Acceleration on FPGA—0
Protecting Confidentiality, Privacy and Integrity in Collaborative Learning—0
ProteinZero: Self-Improving Protein Generation via Online Reinforcement Learning—0
ProTrain: Efficient LLM Training via Memory-Aware Techniques—0
Providing Meaningful Data Summarizations Using Exemplar-based Clustering in Industry 4.0—0
Proximal Gradient Descent Unfolding Dense-spatial Spectral-attention Transformer for Compressive Spectral Imaging—0
Pruned RNN-T for fast, memory-efficient ASR training—0
Prune or quantize? Strategy for Pareto-optimally low-cost and accurate CNN—0
Pruning Compact ConvNets for Efficient Inference—0
Pushing the Envelope of Low-Bit LLM via Dynamic Error Compensation—0
Pushing the Limits of Beam Search Decoding for Transducer-based ASR models—0
Pushing the Limits of BFP on Narrow Precision LLM Inference—0
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs—0
PyGraph: Robust Compiler Support for CUDA Graphs in PyTorch—0
Pyramid Dilated Deeper ConvLSTM for Video Salient Object Detection—0
Python Workflows on HPC Systems—0
PZnet: Efficient 3D ConvNet Inference on Manycore CPUs—0
QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning—0
QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources—0
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