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 4676–4700 of 4891 papers

TitleStatusHype
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
Discovering and Deciphering Relationships Across Disparate Data ModalitiesCode0
STORE: Sparse Tensor Response Regression and Neuroimaging Analysis—0
hi-RF: Incremental Learning Random Forest for large-scale multi-class Data Classification—0
Reconstructing Neural Parameters and Synapses of arbitrary interconnected Neurons from their Simulated Spiking Activity—0
The Symmetry of a Simple Optimization Problem in Lasso Screening—0
A Shallow High-Order Parametric Approach to Data Visualization and Compression—0
Deep FisherNet for Object Classification—0
Online Nonnegative Matrix Factorization with General Divergences—0
4D Cardiac Ultrasound Standard Plane Location by Spatial-Temporal Correlation—0
Supervised Anomaly Detection in Uncertain Pseudoperiodic Data Streams—0
Inference of Haemoglobin Concentration From Stereo RGB—0
Whole-brain substitute CT generation using Markov random field mixture models—0
Large-Scale Kernel Methods for Independence TestingCode0
Saliency Driven Object recognition in egocentric videos with deep CNN—0
Fast and Extensible Online Multivariate Kernel Density Estimation—0
Property-driven State-Space Coarsening for Continuous Time Markov Chains—0
Structural Correlation Filter for Robust Visual Tracking—0
Volumetric 3D Tracking by Detection—0
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis—0
The use of deep learning in image segmentation, classification and detection—0
Communication-Efficient Distributed Statistical Inference—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified