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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4551–4575 of 4891 papers

TitleStatusHype
FastNetCode0
Enlarging Context with Low Cost: Efficient Arithmetic Coding with Trimmed Convolution—0
SAR Image Despeckling Using Quadratic-Linear Approximated L1-Norm—0
Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational InferenceCode0
Tracking objects using 3D object proposals—0
Linear Time Clustering for High Dimensional Mixtures of Gaussian Clouds—0
clcNet: Improving the Efficiency of Convolutional Neural Network using Channel Local ConvolutionsCode0
Achieving the time of 1-NN, but the accuracy of k-NNCode0
AdaBatch: Adaptive Batch Sizes for Training Deep Neural NetworksCode0
Solving Most Systems of Random Quadratic Equations—0
Multi-Channel CNN-based Object Detection for Enhanced Situation Awareness—0
GraphGAN: Graph Representation Learning with Generative Adversarial NetsCode0
Robust Object Tracking Based on Self-adaptive Search Area—0
Sequential Randomized Matrix Factorization for Gaussian Processes: Efficient Predictions and Hyper-parameter Optimization—0
Optimizing Kernel Machines using Deep Learning—0
Accelerated Alternating Projections for Robust Principal Component AnalysisCode0
Grafting for Combinatorial Boolean Model using Frequent Itemset MiningCode0
Learning Depthwise Separable Graph Convolution from Data Manifold—0
Stochastic Conjugate Gradient Algorithm with Variance ReductionCode0
Sparse Diffusion-Convolutional Neural Networks—0
Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm—0
Lasso Regularization Paths for NARMAX Models via Coordinate DescentCode0
Local-To-Global Point Cloud Registration Using a Dictionary of Viewpoint Descriptors—0
Sparse Exact PGA on Riemannian Manifolds—0
Low Compute and Fully Parallel Computer Vision With HashMatch—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified