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

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Showing 651–700 of 4891 papers

TitleStatusHype
Enhancing Fourier Neural Operators with Local Spatial FeaturesCode7
Mixed-gradients Distributed Filtered Reference Least Mean Square Algorithm -- A Robust Distributed Multichannel Active Noise Control Algorithm—0
Token Dynamics: Towards Efficient and Dynamic Video Token Representation for Video Large Language Models—0
Distributed Consensus Optimization with Consensus ALADIN—0
A Pathway to Near Tissue Computing through Processing-in-CTIA Pixels for Biomedical Applications—0
Fast online node labeling with graph subsampling—0
iFlame: Interleaving Full and Linear Attention for Efficient Mesh Generation—0
Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic ForecastingCode0
Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS DemosaicingCode0
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey—0
Acc3D: Accelerating Single Image to 3D Diffusion Models via Edge Consistency Guided Score Distillation—0
Temporal-Spatial Attention Network (TSAN) for DoS Attack Detection in Network Traffic—0
The Morphology-Control Trade-Off: Insights into Soft Robotic Efficiency—0
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks—0
A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions—0
Enhanced Vascular Flow Simulations in Aortic Aneurysm via Physics-Informed Neural Networks and Deep Operator Networks—0
Temporal Encoding Strategies for Energy Time Series PredictionCode0
Joint Design of Radar Receive Filter and Unimodular ISAC Waveform with Sidelobe Level Control—0
Online federated learning framework for classification—0
Pruning-Based TinyML Optimization of Machine Learning Models for Anomaly Detection in Electric Vehicle Charging InfrastructureCode0
EdgeRegNet: Edge Feature-based Multimodal Registration Network between Images and LiDAR Point CloudsCode1
A Novel Channel Boosted Residual CNN-Transformer with Regional-Boundary Learning for Breast Cancer Detection—0
Dynamic Bi-Elman Attention Networks: A Dual-Directional Context-Aware Test-Time Learning for Text ClassificationCode0
SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments—0
Dynamic Power Flow Analysis and Fault Characteristics: A Graph Attention Neural Network—0
Machine learning surrogate models of many-body dispersion interactions in polymer melts—0
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation—0
Variational Autoencoded Multivariate Spatial Fay-Herriot Models—0
Involution and BSConv Multi-Depth Distillation Network for Lightweight Image Super-Resolution—0
Modular Distributed Nonconvex Learning with Error Feedback—0
Advances in 4D Generation: A SurveyCode2
Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models—0
LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object DetectionCode2
Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion—0
TriLiteNet: Lightweight Model for Multi-Task Visual PerceptionCode1
A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems—0
MIXPINN: Mixed-Material Simulations by Physics-Informed Neural Network—0
Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data—0
BlobCtrl: A Unified and Flexible Framework for Element-level Image Generation and Editing—0
ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large language ModelsCode2
Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration—0
GFSNetwork: Differentiable Feature Selection via Gumbel-Sigmoid RelaxationCode0
Unlock Pose Diversity: Accurate and Efficient Implicit Keypoint-based Spatiotemporal Diffusion for Audio-driven Talking PortraitCode3
A new graph-based surrogate model for rapid prediction of crashworthiness performance of vehicle panel components—0
Personalize Anything for Free with Diffusion Transformer—0
Data-Driven Approximation of Binary-State Network Reliability Function: Algorithm Selection and Reliability Thresholds for Large-Scale Systems—0
GS-I^3: Gaussian Splatting for Surface Reconstruction from Illumination-Inconsistent ImagesCode1
AI-Powered Automated Model Construction for Patient-Specific CFD Simulations of Aortic Flows—0
Applications of Large Language Model Reasoning in Feature Generation—0
3D Gaussian Splatting against Moving Objects for High-Fidelity Street Scene ReconstructionCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified