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
Tensorized NeuroEvolution of Augmenting Topologies for GPU AccelerationCode3
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering RefinementCode3
STG-Mamba: Spatial-Temporal Graph Learning via Selective State Space ModelCode3
Is Mamba Effective for Time Series Forecasting?Code3
TimeMachine: A Time Series is Worth 4 Mambas for Long-term ForecastingCode3
DUFOMap: Efficient Dynamic Awareness MappingCode3
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein EmbeddingCode3
FiT: Flexible Vision Transformer for Diffusion ModelCode3
Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State SpacesCode3
TinyGPT-V: Efficient Multimodal Large Language Model via Small BackbonesCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified