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 221–230 of 4891 papers

TitleStatusHype
Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorchCode1
Vectorized Sparse Second-Order Forward Automatic Differentiation for Optimal Control Direct MethodsCode1
It's Not the Target, It's the Background: Rethinking Infrared Small Target Detection via Deep Patch-Free Low-Rank RepresentationsCode1
Attention, Please! Revisiting Attentive Probing for Masked Image ModelingCode1
Rethinking Brain Tumor Segmentation from the Frequency Domain PerspectiveCode1
The Four Color Theorem for Cell Instance SegmentationCode1
RuleReasoner: Reinforced Rule-based Reasoning via Domain-aware Dynamic SamplingCode1
KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series ForecastingCode1
InceptionMamba: An Efficient Hybrid Network with Large Band Convolution and Bottleneck MambaCode1
Spatio-Temporal State Space Model For Efficient Event-Based Optical FlowCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified