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 4276–4300 of 4891 papers

TitleStatusHype
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