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 1876–1900 of 4891 papers

TitleStatusHype
Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent—0
Automatic Operator-level Parallelism Planning for Distributed Deep Learning -- A Mixed-Integer Programming Approach—0
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks—0
Fast Screening Algorithm for Rotation and Scale Invariant Template Matching—0
A Machine Learning Based Classification Approach for Power Quality Disturbances Exploiting Higher Order Statistics in the EMD Domain—0
From Precision to Perception: User-Centred Evaluation of Keyword Extraction Algorithms for Internet-Scale Contextual Advertising—0
Fruit Detection, Segmentation and 3D Visualisation of Environments in Apple Orchards—0
A Physics-Informed Machine Learning Approach for Solving Distributed Order Fractional Differential Equations—0
Directed Acyclic Graph Convolutional Networks—0
Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline—0
FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models—0
DiRecNetV2: A Transformer-Enhanced Network for Aerial Disaster Recognition—0
Fast TILs -- A Pipeline for Efficient TILs Estimation in Non-Small Cell Lung Cancer—0
Automatic MILP Model Construction for Multi-Robot Task Allocation and Scheduling Based on Large Language Models—0
Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks—0
Fast Word Error Rate Estimation Using Self-Supervised Representations for Speech and Text—0
Fault Detection and Human Intervention in Vehicle Platooning: A Multi-Model Framework—0
Composite Marginal Likelihood Methods for Random Utility Models—0
A Point-Based Approach to Efficient LiDAR Multi-Task Perception—0
DIPPER: Direct Preference Optimization to Accelerate Primitive-Enabled Hierarchical Reinforcement Learning—0
Automatic exposure selection and fusion for high-dynamic-range photography via smartphones—0
Comprehensive Survey of Model Compression and Speed up for Vision Transformers—0
Feature Analysis for Machine Learning-based IoT Intrusion Detection—0
Automatic Doubly Robust Forests—0
Dimensionality Reduction in Sentence Transformer Vector Databases with Fast Fourier Transform—0
Show:102550
← PrevPage 76 of 196Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified