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 5160 of 4891 papers

TitleStatusHype
CoverM: Read alignment statistics for metagenomicsCode3
Nd-BiMamba2: A Unified Bidirectional Architecture for Multi-Dimensional Data ProcessingCode3
LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge DistillationCode3
Consistency Models Made EasyCode3
Human-like Episodic Memory for Infinite Context LLMsCode3
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation ModelCode3
GSFusion: Online RGB-D Mapping Where Gaussian Splatting Meets TSDF FusionCode3
Is Mamba Effective for Time Series Forecasting?Code3
BeautyMap: Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global MapsCode3
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scaleCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified