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

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Showing 2741–2750 of 4891 papers

TitleStatusHype
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable ConvolutionCode1
PlaceNav: Topological Navigation through Place Recognition—0
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time DomainCode0
Efficient Anatomical Labeling of Pulmonary Tree Structures via Deep Point-Graph Representation-based Implicit FieldsCode0
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors—0
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem SolvingCode3
Training and inference of large language models using 8-bit floating point—0
Maximal Volume Matrix Cross Approximation for Image Compression and Least Squares Solution—0
Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections—0
An analysis of the derivative-free loss method for solving PDEs—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified