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

Showing 13511400 of 4891 papers

TitleStatusHype
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems0
Vehicular Road Crack Detection with Deep Learning: A New Online Benchmark for Comprehensive Evaluation of Existing Algorithms0
A Two-Stage Rotation-Based Super-Resolution Signature Estimation for Spatial Wideband Systems0
Enhancing Retrieval Systems with Inference-Time Logical Reasoning0
Mixed-gradients Distributed Filtered Reference Least Mean Square Algorithm -- A Robust Distributed Multichannel Active Noise Control Algorithm0
Causal Inference based Transfer Learning with LLMs: An Efficient Framework for Industrial RUL Prediction0
PT-PINNs: A Parametric Engineering Turbulence Solver based on Physics-Informed Neural Networks0
From S4 to Mamba: A Comprehensive Survey on Structured State Space Models0
A Pathway to Near Tissue Computing through Processing-in-CTIA Pixels for Biomedical Applications0
Token Dynamics: Towards Efficient and Dynamic Video Token Representation for Video Large Language Models0
Distributed Consensus Optimization with Consensus ALADIN0
Fast online node labeling with graph subsampling0
Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic ForecastingCode0
The Morphology-Control Trade-Off: Insights into Soft Robotic Efficiency0
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS DemosaicingCode0
Temporal-Spatial Attention Network (TSAN) for DoS Attack Detection in Network Traffic0
iFlame: Interleaving Full and Linear Attention for Efficient Mesh Generation0
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey0
Acc3D: Accelerating Single Image to 3D Diffusion Models via Edge Consistency Guided Score Distillation0
A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions0
Dynamic Power Flow Analysis and Fault Characteristics: A Graph Attention Neural Network0
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation0
A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection0
Joint Design of Radar Receive Filter and Unimodular ISAC Waveform with Sidelobe Level Control0
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments0
Dynamic Bi-Elman Attention Networks: A Dual-Directional Context-Aware Test-Time Learning for Text ClassificationCode0
Temporal Encoding Strategies for Energy Time Series PredictionCode0
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging InfrastructureCode0
Online federated learning framework for classification0
Machine learning surrogate models of many-body dispersion interactions in polymer melts0
Enhanced Vascular Flow Simulations in Aortic Aneurysm via Physics-Informed Neural Networks and Deep Operator Networks0
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks0
Modular Distributed Nonconvex Learning with Error Feedback0
Variational Autoencoded Multivariate Spatial Fay-Herriot Models0
Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models0
Involution and BSConv Multi-Depth Distillation Network for Lightweight Image Super-Resolution0
Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration0
MIXPINN: Mixed-Material Simulations by Physics-Informed Neural Network0
BlobCtrl: A Unified and Flexible Framework for Element-level Image Generation and Editing0
A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems0
Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion0
GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid RelaxationCode0
Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data0
Personalize Anything for Free with Diffusion Transformer0
A new graph-based surrogate model for rapid prediction of crashworthiness performance of vehicle panel components0
AI-Powered Automated Model Construction for Patient-Specific CFD Simulations of Aortic Flows0
Data-Driven Approximation of Binary-State Network Reliability Function: Algorithm Selection and Reliability Thresholds for Large-Scale Systems0
Applications of Large Language Model Reasoning in Feature Generation0
Context-Aware Rule Mining Using a Dynamic Transformer-Based Framework0
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing flows and the Feynman Kac-FormulaCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified