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 1891–1900 of 4891 papers

TitleStatusHype
Fast Word Error Rate Estimation Using Self-Supervised Representations for Speech and Text—0
Fault Detection and Human Intervention in Vehicle Platooning: A Multi-Model Framework—0
An Online Prediction Algorithm for Reinforcement Learning with Linear Function Approximation using Cross Entropy Method—0
Advanced Natural-based interaction for the ITAlian language: LLaMAntino-3-ANITA—0
A Clustering Method with Graph Maximum Decoding Information—0
Towards Efficient Educational Chatbots: Benchmarking RAG Frameworks—0
WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification—0
Fairness-aware Classification: Criterion, Convexity, and Bounds—0
CodeVision: Detecting LLM-Generated Code Using 2D Token Probability Maps and Vision Models—0
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified