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 2276–2300 of 4891 papers

TitleStatusHype
Thermal Modelling of Battery Cells for Optimal Tab and Surface Cooling Control—0
Adaptive Sampling for Continuous Group Equivariant Neural Networks—0
Biomimetic Frontend for Differentiable Audio ProcessingCode0
Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics—0
Convex Reformulation of Information Constrained Linear State Estimation with Mixed-Binary Variables for Outlier Accommodation—0
In-Situ Fine-Tuning of Wildlife Models in IoT-Enabled Camera Traps for Efficient Adaptation—0
Rapid Parameter Estimation for Extreme Mass Ratio Inspirals Using Machine Learning—0
GateAttentionPose: Enhancing Pose Estimation with Agent Attention and Improved Gated Convolutions—0
Mamba for Scalable and Efficient Personalized Recommendations—0
A Continual and Incremental Learning Approach for TinyML On-device Training Using Dataset Distillation and Model Size Adaption—0
CerviXpert: A Multi-Structural Convolutional Neural Network for Predicting Cervix Type and Cervical Cell Abnormalities—0
Uncertainty Quantification in Seismic Inversion Through Integrated Importance Sampling and Ensemble Methods—0
The Weak Form Is Stronger Than You Think—0
Consensus-based Distributed Quantum Kernel Learning for Speech Recognition—0
ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOLCode0
CoDiCast: Conditional Diffusion Model for Global Weather Prediction with Uncertainty QuantificationCode0
Enhancing Cross-Modality Synthesis: Subvolume Merging for MRI-to-CT Conversion—0
Bridging Autoencoders and Dynamic Mode Decomposition for Reduced-order Modeling and Control of PDEs—0
NeurLZ: An Online Neural Learning-Based Method to Enhance Scientific Lossy Compression—0
Towards Democratizing Multilingual Large Language Models For Medicine Through A Two-Stage Instruction Fine-tuning ApproachCode0
Self-Supervised State Space Model for Real-Time Traffic Accident Prediction Using eKAN NetworksCode0
WaterSeeker: Pioneering Efficient Detection of Watermarked Segments in Large DocumentsCode0
VidLPRO: A Video-Language Pre-training Framework for Robotic and Laparoscopic Surgery—0
An Efficient and Generalizable Symbolic Regression Method for Time Series Analysis—0
A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equations—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified