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 4651–4675 of 4891 papers

TitleStatusHype
Automated Linear-Time Detection and Quality Assessment of Superpixels in Uncalibrated True- or False-Color RGB Images—0
A Framework for Wasserstein-1-Type Metrics—0
Two-Bit Networks for Deep Learning on Resource-Constrained Embedded Devices—0
Dynamic Deep Neural Networks: Optimizing Accuracy-Efficiency Trade-offs by Selective Execution—0
Superpixel Segmentation Using Gaussian Mixture ModelCode0
Robust Low-Complexity Randomized Methods for Locating Outliers in Large Matrices—0
Spatially Adaptive Computation Time for Residual NetworksCode0
Understanding and Optimizing the Performance of Distributed Machine Learning Applications on Apache Spark—0
Error Analysis of Generalized Nyström Kernel Regression—0
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning—0
Efficient and Robust Spiking Neural Circuit for Navigation Inspired by Echolocating Bats—0
Structured Aspect Extraction—0
Improving Variational Auto-Encoders using Householder FlowCode0
Dense Prediction on Sequences with Time-Dilated Convolutions for Speech Recognition—0
Input Switched Affine Networks: An RNN Architecture Designed for Interpretability—0
The Recycling Gibbs Sampler for Efficient Learning—0
Graph Learning from Data under Structural and Laplacian ConstraintsCode0
Dis-S2V: Discourse Informed Sen2VecCode0
Fast and Accurate Surface Normal Integration on Non-Rectangular Domains—0
Data-Driven Threshold Machine: Scan Statistics, Change-Point Detection, and Extreme Bandits—0
Numerical Inversion of SRNF Maps for Elastic Shape Analysis of Genus-Zero Surfaces—0
Optimizing Memory Efficiency for Deep Convolutional Neural Networks on GPUs—0
Robust Time-Series Retrieval Using Probabilistic Adaptive Segmental Alignment—0
Image Denoising via Multi-scale Nonlinear Diffusion Models—0
ADAGIO: Fast Data-aware Near-Isometric Linear EmbeddingsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified