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
Consistency Models Made EasyCode3
VoCo-LLaMA: Towards Vision Compression with Large Language ModelsCode3
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation ModelCode3
vHeat: Building Vision Models upon Heat ConductionCode3
A Foundation Model for the Earth SystemCode3
BeautyMap: Binary-Encoded Adaptable Ground Matrix for Dynamic Points Removal in Global MapsCode3
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image SegmentationCode3
RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language ProcessingCode3
Taming Diffusion Probabilistic Models for Character ControlCode3
TSLANet: Rethinking Transformers for Time Series Representation LearningCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified