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 1451–1475 of 4891 papers

TitleStatusHype
ECG-EmotionNet: Nested Mixture of Expert (NMoE) Adaptation of ECG-Foundation Model for Driver Emotion Recognition—0
Benchmarking quantized LLaMa-based models on the Brazilian Secondary School Exam—0
Echo State Networks for Spatio-Temporal Area-Level Data—0
Economic Model Predictive Control for Periodic Operation: A Quadratic Programming Approach—0
E-MD3C: Taming Masked Diffusion Transformers for Efficient Zero-Shot Object Customization—0
econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians—0
DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization—0
EcoWeedNet: A Lightweight and Automated Weed Detection Method for Sustainable Next-Generation Agricultural Consumer Electronics—0
Benchmarking Video Frame Interpolation—0
Edge2Vec: A High Quality Embedding for the Jigsaw Puzzle Problem—0
Edge-AI for Agriculture: Lightweight Vision Models for Disease Detection in Resource-Limited Settings—0
Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study—0
Do global forecasting models require frequent retraining?—0
EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models—0
Balancing Performance and Efficiency in Zero-shot Robotic Navigation—0
Best-Subset Selection in Generalized Linear Models: A Fast and Consistent Algorithm via Splicing Technique—0
Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications—0
Effective Interplay between Sparsity and Quantization: From Theory to Practice—0
Effective Real Image Editing with Accelerated Iterative Diffusion Inversion—0
A model-free feature selection technique of feature screening and random forest based recursive feature elimination—0
DN-ResNet: Efficient Deep Residual Network for Image Denoising—0
DNN-Compressed Domain Visual Recognition with Feature Adaptation—0
Efficiency in Real-time Webcam Gaze Tracking—0
Beyond Frameworks: Unpacking Collaboration Strategies in Multi-Agent Systems—0
Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified