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 4476–4500 of 4891 papers

TitleStatusHype
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian OptimizationCode0
CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded SystemsCode0
Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional SystemsCode0
Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraintCode0
A Practical Guide to Randomized Matrix Computations with MATLAB ImplementationsCode0
BAFFLE : Blockchain Based Aggregator Free Federated LearningCode0
LYTNet: A Convolutional Neural Network for Real-Time Pedestrian Traffic Lights and Zebra Crossing Recognition for the Visually ImpairedCode0
Gated Texture CNN for Efficient and Configurable Image DenoisingCode0
DualView: Data Attribution from the Dual PerspectiveCode0
Approximation of the Proximal Operator of the _ Norm Using a Neural NetworkCode0
Post-Training Network Compression for 3D Medical Image Segmentation: Reducing Computational Efforts via Tucker DecompositionCode0
StreamFP: Learnable Fingerprint-guided Data Selection for Efficient Stream LearningCode0
S-CFE: Simple Counterfactual ExplanationsCode0
Dual-Task Learning for Dead Tree Detection and Segmentation with Hybrid Self-Attention U-Nets in Aerial ImageryCode0
Dual Parameterization of Sparse Variational Gaussian ProcessesCode0
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture SearchCode0
Condensed Gradient BoostingCode0
Science Hierarchography: Hierarchical Organization of Science LiteratureCode0
Street Crossing Aid Using Light-weight CNNs for the Visually ImpairedCode0
SCQPTH: an efficient differentiable splitting method for convex quadratic programmingCode0
SDAN: Squared Deformable Alignment Network for Learning Misaligned Optical ZoomCode0
SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT PerfusionCode0
SDF-TopoNet: A Two-Stage Framework for Tubular Structure Segmentation via SDF Pre-training and Topology-Aware Fine-TuningCode0
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series AnalysisCode0
Gated Fusion Network for Joint Image Deblurring and Super-ResolutionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified