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

Showing 4150 of 4891 papers

TitleStatusHype
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein EmbeddingCode3
DUFOMap: Efficient Dynamic Awareness MappingCode3
MetaDE: Evolving Differential Evolution by Differential EvolutionCode3
Nd-BiMamba2: A Unified Bidirectional Architecture for Multi-Dimensional Data ProcessingCode3
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation ModelCode3
CoverM: Read alignment statistics for metagenomicsCode3
Is Mamba Effective for Time Series Forecasting?Code3
Human-like Episodic Memory for Infinite Context LLMsCode3
GSFusion: Online RGB-D Mapping Where Gaussian Splatting Meets TSDF FusionCode3
GPU-accelerated Evolutionary Many-objective Optimization Using Tensorized NSGA-IIICode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified