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 34513475 of 4891 papers

TitleStatusHype
Leveraging Small LLMs for Argument Mining in Education: Argument Component Identification, Classification, and Assessment0
Leveraging Time-Series Foundation Model for Subsurface Well Logs Prediction and Anomaly Detection0
Leveraging Uniformization and Sparsity for Computation of Continuous Time Dynamic Discrete Choice Games0
LFR-PINO: A Layered Fourier Reduced Physics-Informed Neural Operator for Parametric PDEs0
LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing0
LightCPPgen: An Explainable Machine Learning Pipeline for Rational Design of Cell Penetrating Peptides0
LightFusionRec: Lightweight Transformers-Based Cross-Domain Recommendation Model0
Lightweight Model for Poultry Disease Detection from Fecal Images Using Multi-Color Space Feature Optimization and Machine Learning0
Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos0
Lightweight Multispectral Crop-Weed Segmentation for Precision Agriculture0
Lightweight Safety Classification Using Pruned Language Models0
Lightweight Sequential Transformers for Blood Glucose Level Prediction in Type-1 Diabetes0
Lightweight Weighted Average Ensemble Model for Pneumonia Detection in Chest X-Ray Images0
LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem0
Linear Attention via Orthogonal Memory0
Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data0
Linear Time Clustering for High Dimensional Mixtures of Gaussian Clouds0
Linear-time online visibility graph transformation algorithm: for both natural and horizontal visibility criteria0
Linear-Time User-Level DP-SCO via Robust Statistics0
Link to the Past: Temporal Propagation for Fast 3D Human Reconstruction from Monocular Video0
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning0
LiteCON: An All-Photonic Neuromorphic Accelerator for Energy-efficient Deep Learning (Preprint)0
LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models0
Llama-Affinity: A Predictive Antibody Antigen Binding Model Integrating Antibody Sequences with Llama3 Backbone Architecture0
LLaMA-XR: A Novel Framework for Radiology Report Generation using LLaMA and QLoRA Fine Tuning0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified