SOTAVerified

Computational Efficiency

Methods and optimizations to reduce the computational resources (e.g., time, memory, or power) needed for training and inference in models. This involves techniques that streamline processing, optimize algorithms, or leverage hardware to enhance performance without compromising accuracy.

Papers

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Showing 411–420 of 4891 papers

TitleStatusHype
Fast Sequence-Based Embedding with Diffusion GraphsCode1
A Simple and Efficient Reconstruction Backbone for Snapshot Compressive ImagingCode1
CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image SegmentationCode1
3D Human Pose and Shape Estimation via HybrIK-TransformerCode1
AMD-Hummingbird: Towards an Efficient Text-to-Video ModelCode1
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)Code1
FastMap: Fast Queries Initialization Based Vectorized HD Map Reconstruction FrameworkCode1
Improved Protein-ligand Binding Affinity Prediction with Structure-Based Deep Fusion InferenceCode1
Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorchCode1
Fast Kernel Scene FlowCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified