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 1651–1700 of 4891 papers

TitleStatusHype
Fast global convergence rates of gradient methods for high-dimensional statistical recovery—0
Energy-based Preference Optimization for Test-time Adaptation—0
Energy-efficient and Robust Cumulative Training with Net2Net Transformation—0
Energy-optimal Design and Control of Electric Vehicles' Transmissions—0
Enhanced Data-driven Topology Design Methodology with Multi-level Mesh and Correlation-based Mutation for Stress-related Multi-objective Optimization—0
Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices—0
Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks—0
Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics—0
Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis—0
Precise phase retrieval for propagation-based images using discrete mathematics—0
Enhanced Vascular Flow Simulations in Aortic Aneurysm via Physics-Informed Neural Networks and Deep Operator Networks—0
Enhanced Textual Feature Extraction for Visual Question Answering: A Simple Convolutional Approach—0
Distributed Differential Dynamic Programming Architectures for Large-Scale Multi-Agent Control—0
Causal Generative Domain Adaptation Networks—0
Enhancing CNN Classification with Lamarckian Memetic Algorithms and Local Search—0
Enhancing Computational Efficiency in Multiscale Systems Using Deep Learning of Coordinates and Flow Maps—0
Enhancing Computational Efficiency in Intensive Domains via Redundant Residue Number Systems—0
Enhancing Computational Efficiency of Motor Imagery BCI Classification with Block-Toeplitz Augmented Covariance Matrices and Siegel Metric—0
Distributed Cross-Channel Hierarchical Aggregation for Foundation Models—0
Enhancing Cross-Modality Synthesis: Subvolume Merging for MRI-to-CT Conversion—0
Enhancing Diabetic Retinopathy Diagnosis: A Lightweight CNN Architecture for Efficient Exudate Detection in Retinal Fundus Images—0
Enhancing Diffusion Models for High-Quality Image Generation—0
Distributed Consensus Optimization with Consensus ALADIN—0
Advancing Distributed AC Optimal Power Flow for Integrated Transmission-Distribution Systems—0
Enhancing GNNs Performance on Combinatorial Optimization by Recurrent Feature Update—0
Enhancing Mathematical Reasoning in Large Language Models with Self-Consistency-Based Hallucination Detection—0
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection—0
Enhancing Multi-hop Reasoning in Vision-Language Models via Self-Distillation with Multi-Prompt Ensembling—0
Enhancing Off-Grid One-Bit DOA Estimation with Learning-Based Sparse Bayesian Approach for Non-Uniform Sparse Array—0
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference—0
DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models—0
Enhancing Price Prediction in Cryptocurrency Using Transformer Neural Network and Technical Indicators—0
Enhancing Retrieval Systems with Inference-Time Logical Reasoning—0
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation—0
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integration—0
Enhancing Stochastic Optimization for Statistical Efficiency Using ROOT-SGD with Diminishing Stepsize—0
A new weakly supervised approach for ALS point cloud semantic segmentation—0
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing—0
Enlarging Context with Low Cost: Efficient Arithmetic Coding with Trimmed Convolution—0
ENOS: Energy-Aware Network Operator Search for Hybrid Digital and Compute-in-Memory DNN Accelerators—0
Distilling Diversity and Control in Diffusion Models—0
CFARNet: Learning-Based High-Resolution Multi-Target Detection for Rainbow Beam Radar—0
Avoiding Obfuscation with Prover-Estimator Debate—0
Entropy Adaptive Decoding: Dynamic Model Switching for Efficient Inference—0
Fast Graph Laplacian Regularized Kernel Learning via Semidefinite–Quadratic–Linear Programming—0
A VAE-Bayesian Deep Learning Scheme for Solar Generation Forecasting based on Dimensionality Reduction—0
Faster Image2Video Generation: A Closer Look at CLIP Image Embedding's Impact on Spatio-Temporal Cross-Attentions—0
Equiangular Kernel Dictionary Learning With Applications to Dynamic Texture Analysis—0
AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features—0
Dissecting Physics Reasoning in Small Language Models: A Multi-Dimensional Analysis from an Educational Perspective—0
Show:102550
← PrevPage 34 of 98Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified