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 4251–4300 of 4891 papers

TitleStatusHype
Efficient Active Learning for Gaussian Process Classification by Error Reduction—0
On the Computational Efficiency of Adaptive and Dynamic Regret Minimization—0
Efficient and Accurate Estimation of Lipschitz Constants for Hybrid Quantum-Classical Decision Models—0
Efficient and Consistent Adversarial Bipartite Matching—0
Efficient and Effective Deep Multi-view Subspace Clustering—0
Efficient and Interpretable Neural Networks Using Complex Lehmer Transform—0
Efficient and Robust Spiking Neural Circuit for Navigation Inspired by Echolocating Bats—0
Efficient and Scalable Multi-task Regression on Massive Number of Tasks—0
Efficient Assessment of Electricity Distribution Network Adequacy with the Cross-Entropy Method—0
Efficient Bilinear Attention-based Fusion for Medical Visual Question Answering—0
Efficient Brain Tumor Classification with Lightweight CNN Architecture: A Novel Approach—0
Efficient Building Roof Type Classification: A Domain-Specific Self-Supervised Approach—0
Efficient Classification for Metric Data—0
Efficient CNNs via Passive Filter Pruning—0
Efficient Computation of Relative Pose for Multi-Camera Systems—0
Efficient Convolutional Forward Modeling and Sparse Coding in Multichannel Imaging—0
Efficient Convolutional Neural Network Training with Direct Feedback Alignment—0
EfficientCrackNet: A Lightweight Model for Crack Segmentation—0
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition—0
Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm—0
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms—0
Efficient Degradation-aware Any Image Restoration—0
Efficient Detection of Toxic Prompts in Large Language Models—0
Efficient Detector Adaptation for Object Detection in a Video—0
Efficient Diffusion Models for Vision: A Survey—0
Efficient Distance Metric Learning by Adaptive Sampling and Mini-Batch Stochastic Gradient Descent (SGD)—0
Efficient Dual-Blind Deconvolution for Joint Radar-Communication Systems Using ADMM: Enhancing Channel Estimation and Signal Recovery in 5G mmWave Networks—0
Efficient dual-scale generalized Radon-Fourier transform detector family for long time coherent integration—0
Efficient Dynamic Scene Editing via 4D Gaussian-based Static-Dynamic Separation—0
Efficient Economic Model Predictive Control of Water Treatment Process with Learning-based Koopman Operator—0
Document-level Event Extraction with Efficient End-to-end Learning of Cross-event Dependencies—0
Efficient Ensembles Improve Training Data Attribution—0
Efficient fine-grained road segmentation using superpixel-based CNN and CRF models—0
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
Efficient Frequency Selective Surface Analysis via End-to-End Model-Based Learning—0
Online Importance Sampling for Stochastic Gradient Optimization—0
Efficient Gravitational Wave Parameter Estimation via Knowledge Distillation: A ResNet1D-IAF Approach—0
Efficient identification of linear, parameter-varying, and nonlinear systems with noise models—0
Efficient Image Compression Using Advanced State Space Models—0
Efficient Knowledge Distillation of SAM for Medical Image Segmentation—0
Efficient Language Model Architectures for Differentially Private Federated Learning—0
Efficient Large-Scale Multi-Modal Classification—0
Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer—0
LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction—0
Efficiently Expanding Receptive Fields: Local Split Attention and Parallel Aggregation for Enhanced Large-scale Point Cloud Semantic Segmentation—0
Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models—0
Efficient Malware Detection with Optimized Learning on High-Dimensional Features—0
Efficient Meta-Learning for Continual Learning with Taylor Expansion Approximation—0
Efficient Model Agnostic Approach for Implicit Neural Representation Based Arbitrary-Scale Image Super-Resolution—0
Efficient MPC for Emergency Evasive Maneuvers, Part II: Comparative Assessment for Hybrid Control—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified