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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 61–70 of 4891 papers

TitleStatusHype
Dataset Distillation with Neural Characteristic Function: A Minmax PerspectiveCode3
CoverM: Read alignment statistics for metagenomicsCode3
Effects of charging and discharging capabilities on trade-offs between model accuracy and computational efficiency in pumped thermal electricity storageCode3
MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation SystemCode3
Consistency Models Made EasyCode3
LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge DistillationCode3
Human-like Episodic Memory for Infinite Context LLMsCode3
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation ModelCode3
Is Mamba Effective for Time Series Forecasting?Code3
A Foundation Model for the Earth SystemCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified