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 2151–2200 of 4891 papers

TitleStatusHype
Enhancing CNN Classification with Lamarckian Memetic Algorithms and Local Search—0
Causal Inference based Transfer Learning with LLMs: An Efficient Framework for Industrial RUL Prediction—0
Causal Generative Domain Adaptation Networks—0
A new graph-based surrogate model for rapid prediction of crashworthiness performance of vehicle panel components—0
A Deeper Look at 3D Shape Classifiers—0
Accurate and scalable exchange-correlation with deep learning—0
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network—0
GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs—0
Enhanced Textual Feature Extraction for Visual Question Answering: A Simple Convolutional Approach—0
Enhanced Vascular Flow Simulations in Aortic Aneurysm via Physics-Informed Neural Networks and Deep Operator Networks—0
Precise phase retrieval for propagation-based images using discrete mathematics—0
Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis—0
CATP: Cross-Attention Token Pruning for Accuracy Preserved Multimodal Model Inference—0
Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics—0
Enhanced prediction accuracy with uncertainty quantification in monitoring CO2 sequestration using convolutional neural networks—0
CAT: A Conditional Adaptation Tailor for Efficient and Effective Instance-Specific Pansharpening on Real-World Data—0
Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices—0
Enhanced Data-driven Topology Design Methodology with Multi-level Mesh and Correlation-based Mutation for Stress-related Multi-objective Optimization—0
CaseEdit: Enhancing Localized Commonsense Reasoning via Null-Space Constrained Knowledge Editing in Small Parameter Language Models—0
A NEW BACKBONE FOR HYPERSPECTRAL IMAGE RECONSTRUCTION—0
A deep convolutional neural network model for rapid prediction of fluvial flood inundation—0
Energy-optimal Design and Control of Electric Vehicles' Transmissions—0
Energy-efficient and Robust Cumulative Training with Net2Net Transformation—0
CARROT: A Cost Aware Rate Optimal Router—0
Energy-based Preference Optimization for Test-time Adaptation—0
Careful Seeding for k-Medois Clustering with Incremental k-Means++ Initialization—0
Carbon-Aware Computing for Data Centers with Probabilistic Performance Guarantees—0
End-to-end View Synthesis for Light Field Imaging with Pseudo 4DCNN—0
An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks—0
A Non-Parametric Bootstrap for Spectral Clustering—0
Accumulations of Projections--A Unified Framework for Random Sketches in Kernel Ridge Regression—0
End-to-End JPEG Decoding and Artifacts Suppression Using Heterogeneous Residual Convolutional Neural Network—0
Can pruning make Large Language Models more efficient?—0
End-to-End Imitation Learning for Optimal Asteroid Proximity Operations—0
Canonical Bayesian Linear System Identification—0
A Neural Network Subgrid Model of the Early Stages of Planet Formation—0
Encoding Categorical Variables with Conjugate Bayesian Models for WeWork Lead Scoring Engine—0
Enabling Fast, Accurate, and Efficient Real-Time Genome Analysis via New Algorithms and Techniques—0
Balancing Privacy, Robustness, and Efficiency in Machine Learning—0
Emulating the interstellar medium chemistry with neural operators—0
Can LLMs Revolutionize the Design of Explainable and Efficient TinyML Models?—0
An Enhancement of Jiang, Z., et al.s Compression-Based Classification Algorithm Applied to News Article Categorization—0
Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness Evaluation—0
Cross-Scan Mamba with Masked Training for Robust Spectral Imaging—0
Empirical Fourier Decomposition: An Accurate Adaptive Signal Decomposition Method—0
Can Foundation Models Really Segment Tumors? A Benchmarking Odyssey in Lung CT Imaging—0
Empirical Comparison between Cross-Validation and Mutation-Validation in Model Selection—0
EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization—0
Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging—0
Emergent functions of noise-driven spontaneous activity: Homeostatic maintenance of criticality and memory consolidation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified