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 2351–2400 of 4891 papers

TitleStatusHype
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
Bioinspired Cortex-based Fast Codebook Generation—0
Efficient fine-grained road segmentation using superpixel-based CNN and CRF models—0
Bio-Inspired Classification: Combining Information Theory and Spiking Neural Networks -- Influence of the Learning Rules—0
An Efficient Active Set Algorithm for Covariance Based Joint Data and Activity Detection for Massive Random Access with Massive MIMO—0
Efficient Ensembles Improve Training Data Attribution—0
Biogeochemistry-Informed Neural Network (BINN) for Improving Accuracy of Model Prediction and Scientific Understanding of Soil Organic Carbon—0
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies—0
An Effective End-to-End Solution for Multimodal Action Recognition—0
Adaptive physics-informed neural operator for coarse-grained non-equilibrium flows—0
Accelerating Text Mining Using Domain-Specific Stop Word Lists—0
Efficient Economic Model Predictive Control of Water Treatment Process with Learning-based Koopman Operator—0
Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation—0
Efficient dual-scale generalized Radon-Fourier transform detector family for long time coherent integration—0
Efficient Dual-Blind Deconvolution for Joint Radar-Communication Systems Using ADMM: Enhancing Channel Estimation and Signal Recovery in 5G mmWave Networks—0
Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting—0
An Edge-Aware Graph Autoencoder Trained on Scale-Imbalanced Data for Traveling Salesman Problems—0
Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD)—0
Efficient Diffusion Models for Vision: A Survey—0
Bi-l0-l2-Norm Regularization for Blind Motion Deblurring—0
Efficient Detector Adaptation for Object Detection in a Video—0
Efficient Detection of Toxic Prompts in Large Language Models—0
A High-Performance Object Proposals based on Horizontal High Frequency Signal—0
Adaptive Optimization for Enhanced Efficiency in Large-Scale Language Model Training—0
Efficient Degradation-aware Any Image Restoration—0
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms—0
Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm—0
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning—0
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition—0
EfficientCrackNet: A Lightweight Model for Crack Segmentation—0
Efficient Convolutional Neural Network Training with Direct Feedback Alignment—0
Efficient Convolutional Forward Modeling and Sparse Coding in Multichannel Imaging—0
Bidirectional Long-Range Parser for Sequential Data Understanding—0
An Autonomous Vision-Based Algorithm for Interplanetary Navigation—0
Accelerating Spherical k-Means—0
Energy-Efficient Deep Learning for Traffic Classification on Microcontrollers—0
Efficient Computation of Relative Pose for Multi-Camera Systems—0
Efficient CNNs via Passive Filter Pruning—0
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling—0
Efficient Classification for Metric Data—0
Efficient Building Roof Type Classification: A Domain-Specific Self-Supervised Approach—0
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs—0
An Attention-LSTM Hybrid Model for the Coordinated Routing of Multiple Vehicles—0
Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach—0
Efficient Bilinear Attention-based Fusion for Medical Visual Question Answering—0
Beyond Training: Dynamic Token Merging for Zero-Shot Video Understanding—0
Efficient Assessment of Electricity Distribution Network Adequacy with the Cross-Entropy Method—0
Beyond Traditional Beamforming: Singular Vector Projection for MU-MIMO—0
Adaptive Multi-resolution Hash-Encoding Framework for INR-based Dental CBCT Reconstruction with Truncated FOV—0
Efficient and Scalable Multi-task Regression on Massive Number of Tasks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified