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 3776–3800 of 4891 papers

TitleStatusHype
Noise-Blind Image Deblurring—0
Noise Reduction and Driving Event Extraction Method for Performance Improvement on Driving Noise-based Surface Anomaly Detection—0
Non-Conservative Data-driven Safe Control Design for Nonlinear Systems with Polyhedral Safe Sets—0
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data—0
Nonconvex Linear System Identification with Minimal State Representation—0
Nonconvex Robust High-Order Tensor Completion Using Randomized Low-Rank Approximation—0
Non-Convex Robust Hypothesis Testing using Sinkhorn Uncertainty Sets—0
Non-Intrusive Load Monitoring with Fully Convolutional Networks—0
Non-Iterative Blind Calibration of Nested Arrays with Asymptotically Optimal Weighting—0
Nonlinear Approximation via Compositions—0
Nonlinear energy-preserving model reduction with lifting transformations that quadratize the energy—0
Nonlinear subspace clustering by functional link neural networks—0
Non-negative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications—0
Nonparametric Conditional Density Estimation In A Deep Learning Framework For Short-Term Forecasting—0
Nonparametric mixed logit model with market-level parameters estimated from market share data—0
Nonparametric Feature Selection by Random Forests and Deep Neural Networks—0
Non-separable Covariance Kernels for Spatiotemporal Gaussian Processes based on a Hybrid Spectral Method and the Harmonic Oscillator—0
Non-Uniform Class-Wise Coreset Selection: Characterizing Category Difficulty for Data-Efficient Transfer Learning—0
Nonuniform Defocus Removal for Image Classification—0
NoT: Federated Unlearning via Weight Negation—0
Beyond Conformal Predictors: Adaptive Conformal Inference with Confidence Predictors—0
A Novel Mobility Model to Support the Routing of Mobile Energy Resources—0
Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations—0
NSF: Neural Surface Fields for Human Modeling from Monocular Depth—0
Numerical Comparisons of Linear Power Flow Approximations: Optimality, Feasibility, and Computation Time—0
Show:102550
← PrevPage 152 of 196Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified