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 4651–4675 of 4891 papers

TitleStatusHype
Uncertainty Prediction Neural Network (UpNet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify the Uncertainty of Remote Sensing RetrievalCode0
Features extraction and reduction techniques with optimized SVM for Persian/Arabic handwritten digits recognitionCode0
Model Predictive Control with Self-supervised Representation LearningCode0
Direct loss minimization algorithms for sparse Gaussian processesCode0
Supervised Kernel ThinningCode0
Feature Alignment: Rethinking Efficient Active Learning via Proxy in the Context of Pre-trained ModelsCode0
Variational Reformulation of Bayesian Inverse ProblemsCode0
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective InferenceCode0
An Enhanced Zeroth-Order Stochastic Frank-Wolfe Framework for Constrained Finite-Sum OptimizationCode0
FD-Net: An Unsupervised Deep Forward-Distortion Model for Susceptibility Artifact Correction in EPICode0
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression ModulesCode0
Direct Estimation of Parameters in ODE Models Using WENDy: Weak-form Estimation of Nonlinear DynamicsCode0
ModRWKV: Transformer Multimodality in Linear TimeCode0
Surrogate-assisted Bayesian inversion for landscape and basin evolution modelsCode0
FDAPT: Federated Domain-adaptive Pre-training for Language ModelsCode0
Fast Single Image Dehazing via Multilevel Wavelet Transform based OptimizationCode0
SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep ModelsCode0
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical ModelsCode0
Towards Democratizing Multilingual Large Language Models For Medicine Through A Two-Stage Instruction Fine-tuning ApproachCode0
Regression modelling of spatiotemporal extreme U.S. wildfires via partially-interpretable neural networksCode0
Combinatorial Logistic BanditsCode0
Towards Efficient Capsule NetworksCode0
Mold into a Graph: Efficient Bayesian Optimization over Mixed-SpacesCode0
Towards Efficient Graph Convolutional Networks for Point Cloud HandlingCode0
ColorMamba: Towards High-quality NIR-to-RGB Spectral Translation with MambaCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified