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 4251–4275 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
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified