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 1151–1160 of 4891 papers

TitleStatusHype
Geographical Context Matters: Bridging Fine and Coarse Spatial Information to Enhance Continental Land Cover MappingCode0
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional SystemsCode0
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian OptimizationCode0
Gated Fusion Network for Joint Image Deblurring and Super-ResolutionCode0
Accelerating Focal Search in Multi-Agent Path Finding with Tighter Lower BoundsCode0
Gated Texture CNN for Efficient and Configurable Image DenoisingCode0
GCNv2: Efficient Correspondence Prediction for Real-Time SLAMCode0
Supervised Dimensionality Reduction for Big DataCode0
IMAGIC-500: IMputation benchmark on A Generative Imaginary Country (500k samples)Code0
GAMMA: A General Agent Motion Model for Autonomous DrivingCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified