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 3071–3080 of 4891 papers

TitleStatusHype
Quantum-Based Feature Selection for Multi-classification Problem in Complex Systems with Edge Computing—0
Efficient MPC for Emergency Evasive Maneuvers, Part II: Comparative Assessment for Hybrid Control—0
Efficient MPC for Emergency Evasive Maneuvers, Part I: Hybridization of the Nonlinear Problem—0
Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model ReasoningCode0
Training and inference of large language models using 8-bit floating point—0
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time DomainCode0
Maximal Volume Matrix Cross Approximation for Image Compression and Least Squares Solution—0
PlaceNav: Topological Navigation through Place Recognition—0
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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified