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 2641–2650 of 4891 papers

TitleStatusHype
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving—0
HandS3C: 3D Hand Mesh Reconstruction with State Space Spatial Channel Attention from RGB images—0
PAM-UNet: Shifting Attention on Region of Interest in Medical Images—0
Interpretable Data-driven Anomaly Detection in Industrial Processes with ExIFFI—0
Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization—0
Variational Bayesian Methods for a Tree-Structured Stick-Breaking Process Mixture of Gaussians by Application of the Bayes Codes for Context Tree Models—0
Enhanced Textual Feature Extraction for Visual Question Answering: A Simple Convolutional Approach—0
Online and Offline Robust Multivariate Linear Regression—0
Distributed Traffic Signal Control via Coordinated Maximum Pressure-plus-Penalty—0
Soft Preference Optimization: Aligning Language Models to Expert Distributions—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified