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Showing 3701–3750 of 5629 papers

TitleStatusHype
Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations—0
Parallel Branch Model Predictive Control on GPUs—0
ParallelComp: Parallel Long-Context Compressor for Length Extrapolation—0
Parallel Discrete Convolutions on Adaptive Particle Representations of Images—0
Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications—0
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units—0
Parallelization of the K-Means Algorithm with Applications to Big Data Clustering—0
Parallelized Computation and Backpropagation Under Angle-Parametrized Orthogonal Matrices—0
Parallel software implementation of recursive multidimensional digital filters for point-target detection in cluttered infrared scenes—0
Parallel Support Vector Machines in Practice—0
Parallel Watershed Partitioning: GPU-Based Hierarchical Image Segmentation—0
Paramanu: A Family of Novel Efficient Generative Foundation Language Models for Indian Languages—0
PARAMANU-AYN: Pretrain from scratch or Continual Pretraining of LLMs for Legal Domain Adaptation?—0
Parameter-Efficient Detoxification with Contrastive Decoding—0
Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction—0
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies—0
Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models—0
Parameterized and GPU-Parallelized Real-Time Model Predictive Control for High Degree of Freedom Robots—0
Parametrization Cookbook: A set of Bijective Parametrizations for using Machine Learning methods in Statistical Inference—0
Parareal Neural Networks Emulating a Parallel-in-time Algorithm—0
Pareto-Frontier-aware Neural Architecture Search—0
Pareto-Frontier-aware Neural Architecture Generation for Diverse Budgets—0
ParFormer: A Vision Transformer with Parallel Mixer and Sparse Channel Attention Patch Embedding—0
PARIS and ELSA: An Elastic Scheduling Algorithm for Reconfigurable Multi-GPU Inference Servers—0
Parle: parallelizing stochastic gradient descent—0
Partial Convolution Meets Visual Attention—0
PartialLoading: User Scheduling and Bandwidth Allocation for Parameter-sharing Edge Inference—0
Partitioned Neural Network Training via Synthetic Intermediate Labels—0
Partitioning Large Scale Deep Belief Networks Using Dropout—0
Patched Line Segment Learning for Vector Road Mapping—0
PatchEX: High-Quality Real-Time Temporal Supersampling through Patch-based Parallel Extrapolation—0
PatchMatch Based Joint View Selection and Depthmap Estimation—0
PatchMorph: A Stochastic Deep Learning Approach for Unsupervised 3D Brain Image Registration with Small Patches—0
PatrolVision: Automated License Plate Recognition in the wild—0
PC-bzip2: a phase-space continuity enhanced lossless compression algorithm for light field microscopy data—0
PCGRL+: Scaling, Control and Generalization in Reinforcement Learning Level Generators—0
PDR-CapsNet: an Energy-Efficient Parallel Approach to Dynamic Routing in Capsule Networks—0
PeakNet: An Autonomous Bragg Peak Finder with Deep Neural Networks—0
PerceptionGPT: Effectively Fusing Visual Perception into LLM—0
PERCH 2.0 : Fast and Accurate GPU-based Perception via Search for Object Pose Estimation—0
Performance Analysis of Deep Learning Workloads on Leading-edge Systems—0
Performance and Energy Consumption of Parallel Machine Learning Algorithms—0
Benchmarking the Performance and Energy Efficiency of AI Accelerators for AI Training—0
Performance Evaluation of Deep Learning Tools in Docker Containers—0
Performance Modeling and Workload Analysis of Distributed Large Language Model Training and Inference—0
Performance of Transfer Learning Model vs. Traditional Neural Network in Low System Resource Environment—0
Performance Optimization of Deep Learning Sparse Matrix Kernels on Intel Max Series GPU—0
Performance-Oriented Neural Architecture Search—0
Performance Prediction for Convolutional Neural Networks in Edge Devices—0
Performance Tuning for GPU-Embedded Systems: Machine-Learning-based and Analytical Model-driven Tuning Methodologies—0
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