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 2231–2240 of 4891 papers

TitleStatusHype
Efficient Vision-Language Models by Summarizing Visual Tokens into Compact Registers—0
Efficient Video Segmentation Using Parametric Graph Partitioning—0
Bunched LPCNet2: Efficient Neural Vocoders Covering Devices from Cloud to Edge—0
Efficient universal shuffle attack for visual object tracking—0
Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance—0
Broad Critic Deep Actor Reinforcement Learning for Continuous Control—0
An Empirical Analysis of Speech Self-Supervised Learning at Multiple Resolutions—0
A Dataset Fusion Algorithm for Generalised Anomaly Detection in Homogeneous Periodic Time Series Datasets—0
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems—0
Efficient Transformations in Deep Learning Convolutional Neural Networks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified