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Showing 5226–5250 of 5629 papers

TitleStatusHype
PoGO: A Scalable Proof of Useful Work via Quantized Gradient Descent and Merkle Proofs—0
PointeNet: A Lightweight Framework for Effective and Efficient Point Cloud Analysis—0
Poisson Noise Reduction with Higher-order Natural Image Prior Model—0
Polarimetric Dense Monocular SLAM—0
POLCA: Power Oversubscription in LLM Cloud Providers—0
PolyThrottle: Energy-efficient Neural Network Inference on Edge Devices—0
PopSparse: Accelerated block sparse matrix multiplication on IPU—0
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches—0
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters—0
Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines—0
Pose Trainer: Correcting Exercise Posture using Pose Estimation—0
Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization—0
Powderworld: A Platform for Understanding Generalization via Rich Task Distributions—0
PowerAI DDL—0
PowerFusion: A Tensor Compiler with Explicit Data Movement Description and Instruction-level Graph IR—0
PQCache: Product Quantization-based KVCache for Long Context LLM Inference—0
Practical cross-sensor color constancy using a dual-mapping strategy—0
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
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