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Showing 3151–3175 of 5629 papers

TitleStatusHype
ELIP: Efficient Language-Image Pre-training with Fewer Vision TokensCode0
GraB-sampler: Optimal Permutation-based SGD Data Sampler for PyTorchCode0
A Fourier Neural Operator Approach for Modelling Exciton-Polariton Condensate Systems—0
Highly Efficient SNNs for High-speed Object Detection—0
Hashing Neural Video Decomposition with Multiplicative Residuals in Space-Time—0
NAS-NeRF: Generative Neural Architecture Search for Neural Radiance Fields—0
Global Context Aggregation Network for Lightweight Saliency Detection of Surface Defects—0
DEYOv3: DETR with YOLO for Real-time Object DetectionCode0
Activation Compression of Graph Neural Networks using Block-wise Quantization with Improved Variance MinimizationCode0
Towards Real-Time Neural Video Codec for Cross-Platform Application Using Calibration Information—0
InkStream: Real-time GNN Inference on Streaming Graphs via Incremental UpdateCode0
Gold-YOLO: Efficient Object Detector via Gather-and-Distribute MechanismCode0
Learning Dynamic MRI Reconstruction with Convolutional Network Assisted Reconstruction Swin Transformer—0
Convolutional Deep Kernel MachinesCode0
Universal Photorealistic Style Transfer: A Lightweight and Adaptive Approach—0
Forensic Video Analytic Software—0
Reducing Memory Requirements for the IPU using Butterfly Factorizations—0
Astrocyte-Integrated Dynamic Function Exchange in Spiking Neural Networks—0
Stack-and-Delay: a new codebook pattern for music generation—0
Efficient MRI Parallel Imaging Reconstruction by K-Space Rendering via Generalized Implicit Neural RepresentationCode0
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-ScaleCode0
Two-Stage Hybrid Supervision Framework for Fast, Low-resource, and Accurate Organ and Pan-cancer Segmentation in Abdomen CT—0
FlowIBR: Leveraging Pre-Training for Efficient Neural Image-Based Rendering of Dynamic Scenes—0
Sculpting Efficiency: Pruning Medical Imaging Models for On-Device Inference—0
DeViT: Decomposing Vision Transformers for Collaborative Inference in Edge Devices—0
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