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Showing 4201–4250 of 5629 papers

TitleStatusHype
SPLAT: A framework for optimised GPU code-generation for SParse reguLar ATtention—0
SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking—0
SPNet: Deep 3D Object Classification and Retrieval using Stereographic Projection—0
Spotlight: Optimizing Device Placement for Training Deep Neural Networks—0
SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin—0
SpSC: A Fast and Provable Algorithm for Sampling-Based GNN Training—0
SqueezeMe: Efficient Gaussian Avatars for VR—0
SqueezeNeRF: Further factorized FastNeRF for memory-efficient inference—0
Stability Based Filter Pruning for Accelerating Deep CNNs—0
Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation—0
Stable and low-precision training for large-scale vision-language models—0
STACI: Spatio-Temporal Aleatoric Conformal Inference—0
Stack-and-Delay: a new codebook pattern for music generation—0
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search—0
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes—0
Stage-based Hyper-parameter Optimization for Deep Learning—0
StairNet: Visual Recognition of Stairs for Human-Robot Locomotion—0
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction—0
STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent—0
Stanza: Layer Separation for Distributed Training in Deep Learning—0
Stateful Large Language Model Serving with Pensieve—0
Static Batching of Irregular Workloads on GPUs: Framework and Application to Efficient MoE Model Inference—0
STAT: Shrinking Transformers After Training—0
Steepest Descent Density Control for Compact 3D Gaussian Splatting—0
Stellar parameter prediction and spectral simulation using machine learning—0
STN-Homography: estimate homography parameters directly—0
Stochastic Communication Avoidance for Recommendation Systems—0
Stochastic Engrams for Efficient Continual Learning with Binarized Neural Networks—0
Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks—0
StochasticSplats: Stochastic Rasterization for Sorting-Free 3D Gaussian Splatting—0
Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking—0
Stream-Based Ground Segmentation for Real-Time LiDAR Point Cloud Processing on FPGA—0
Streaming Krylov-Accelerated Stochastic Gradient Descent—0
Streaming Normalization: Towards Simpler and More Biologically-plausible Normalizations for Online and Recurrent Learning—0
Streaming Video Analytics On The Edge With Asynchronous Cloud Support—0
Streamlining Image Editing with Layered Diffusion Brushes—0
STROOBnet Optimization via GPU-Accelerated Proximal Recurrence Strategies—0
Studying the Practices of Deploying Machine Learning Projects on Docker—0
Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models—0
SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data—0
SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians—0
Superkernel Neural Architecture Search for Image Denoising—0
SuperNeurons: Dynamic GPU Memory Management for Training Deep Neural Networks—0
SuperPADL: Scaling Language-Directed Physics-Based Control with Progressive Supervised Distillation—0
Super-resolution Ultrasound Localization Microscopy through Deep Learning—0
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction—0
Supervised Tree-Wasserstein Distance—0
Supporting renewable energy planning and operation with data-driven high-resolution ensemble weather forecast—0
Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform—0
Supporting Very Large Models using Automatic Dataflow Graph Partitioning—0
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