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Showing 2601–2650 of 5629 papers

TitleStatusHype
High-Throughput SAT SamplingCode0
High-Resolution Deep Convolutional Generative Adversarial NetworksCode0
Fast ES-RNN: A GPU Implementation of the ES-RNN AlgorithmCode0
Parallel and in-process compilation of individuals for genetic programming on GPUCode0
Automatic Differentiation in PyTorchCode0
Parallel Hyperparameter Optimization Of Spiking Neural NetworkCode0
ILP-M Conv: Optimize Convolution Algorithm for Single-Image Convolution Neural Network Inference on Mobile GPUsCode0
Comparing Energy Efficiency of CPU, GPU and FPGA Implementations for Vision KernelsCode0
High Performance Computing Applied to Logistic Regression: A CPU and GPU Implementation ComparisonCode0
Higher-Order Ratio Cycles for Fast and Globally Optimal Shape MatchingCode0
HighEr-Resolution Network for Image Demosaicing and EnhancingCode0
High-quality Task Division for Large-scale Entity AlignmentCode0
Improving the Neural GPU Architecture for Algorithm LearningCode0
Posterior-Guided Neural Architecture SearchCode0
Faster object tracking pipeline for real time tracking—0
Comparative Analysis of Open Source Frameworks for Machine Learning with Use Case in Single-Threaded and Multi-Threaded Modes—0
Faster Multi-GPU Training with PPLL: A Pipeline Parallelism Framework Leveraging Local Learning—0
Architecture Search of Dynamic Cells for Semantic Video Segmentation—0
Faster Inference of Integer SWIN Transformer by Removing the GELU Activation—0
BNAS-v2: Memory-efficient and Performance-collapse-prevented Broad Neural Architecture Search—0
Comparative Analysis of CPU and GPU Profiling for Deep Learning Models—0
Faster and Smarter AutoAugment: Augmentation Policy Search Based on Dynamic Data-Clustering—0
Compact Neural Network Solutions to Laplace's Equation in a Nanofluidic Device—0
Architectural Implications of Embedding Dimension during GCN on CPU and GPU—0
Fast Distributed Inference Serving for Large Language Models—0
Semi-Dynamic Load Balancing: Efficient Distributed Learning in Non-Dedicated Environments—0
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective—0
CompAct: Compressed Activations for Memory-Efficient LLM Training—0
Fast DCTTS: Efficient Deep Convolutional Text-to-Speech—0
Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models—0
Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization—0
Fast-COS: A Fast One-Stage Object Detector Based on Reparameterized Attention Vision Transformer for Autonomous Driving—0
FastCHGNet: Training one Universal Interatomic Potential to 1.5 Hours with 32 GPUs—0
Communication Optimization for Distributed Training: Architecture, Advances, and Opportunities—0
Communication-Free Distributed GNN Training with Vertex Cut—0
Fast Back-Projection for Non-Line of Sight Reconstruction—0
Communication-Efficient TeraByte-Scale Model Training Framework for Online Advertising—0
ARAP-GS: Drag-driven As-Rigid-As-Possible 3D Gaussian Splatting Editing with Diffusion Prior—0
FastAttention: Extend FlashAttention2 to NPUs and Low-resource GPUs—0
Fast and Scalable Optimal Transport for Brain Tractograms—0
A Random Gossip BMUF Process for Neural Language Modeling—0
Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics—0
Fast and Robust Hand Tracking Using Detection-Guided Optimization—0
Fast and parallel decoding for transducer—0
Communication Contention Aware Scheduling of Multiple Deep Learning Training Jobs—0
A Data-Driven Approach to Dataflow-Aware Online Scheduling for Graph Neural Network Inference—0
Accelerating Flow-Matching-Based Text-to-Speech via Empirically Pruned Step Sampling—0
3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture—0
Fast and Efficient Once-For-All Networks for Diverse Hardware Deployment—0
ComboNet: Combined 2D & 3D Architecture for Aorta Segmentation—0
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