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 7180 of 4891 papers

TitleStatusHype
LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge DistillationCode3
Is Mamba Effective for Time Series Forecasting?Code3
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation ModelCode3
MetaDE: Evolving Differential Evolution by Differential EvolutionCode3
A Foundation Model for the Earth SystemCode3
Nd-BiMamba2: A Unified Bidirectional Architecture for Multi-Dimensional Data ProcessingCode3
BeautyMap: Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global MapsCode3
Dataset Distillation with Neural Characteristic Function: A Minmax PerspectiveCode3
Human-like Episodic Memory for Infinite Context LLMsCode3
STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space ModelCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified