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Showing 2201–2225 of 5629 papers

TitleStatusHype
Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information—0
Derivatives Sensitivities Computation under Heston Model on GPUCode1
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer—0
Spatial-Assistant Encoder-Decoder Network for Real Time Semantic SegmentationCode1
Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured SparsityCode2
Universal Photorealistic Style Transfer: A Lightweight and Adaptive Approach—0
Convolutional Deep Kernel MachinesCode0
Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted TreesCode4
Forensic Video Analytic Software—0
LiteTrack: Layer Pruning with Asynchronous Feature Extraction for Lightweight and Efficient Visual TrackingCode1
ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred ImagesCode1
Reducing Memory Requirements for the IPU using Butterfly Factorizations—0
Stack-and-Delay: a new codebook pattern for music generation—0
Astrocyte-Integrated Dynamic Function Exchange in Spiking Neural Networks—0
Autotuning Apache TVM-based Scientific Applications Using Bayesian OptimizationCode1
InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image GenerationCode3
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-ScaleCode0
Efficient MRI Parallel Imaging Reconstruction by K-Space Rendering via Generalized Implicit Neural RepresentationCode0
Mobile Vision Transformer-based Visual Object TrackingCode1
FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes—0
Two-Stage Hybrid Supervision Framework for Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT—0
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices—0
Sculpting Efficiency: Pruning Medical Imaging Models for On-Device Inference—0
Neurons in Large Language Models: Dead, N-gram, Positional—0
Dynamic Mesh-Aware Radiance FieldsCode1
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