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 2341–2350 of 4891 papers

TitleStatusHype
High Performance Im2win and Direct Convolutions using Three Tensor Layouts on SIMD Architectures—0
Action recognition with spatial-temporal discriminative filter banks—0
Efficient Image Compression Using Advanced State Space Models—0
Efficient identification of linear, parameter-varying, and nonlinear systems with noise models—0
An Efficient and Scalable Collection of Fly-inspired Voting Units for Visual Place Recognition in Changing Environments—0
Efficient Gravitational Wave Parameter Estimation via Knowledge Distillation: A ResNet1D-IAF Approach—0
Online Importance Sampling for Stochastic Gradient Optimization—0
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis—0
Adaptive Resolution Residual Networks -- Generalizing Across Resolutions Easily and Efficiently—0
Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified