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 4226–4250 of 4891 papers

TitleStatusHype
Dynamic Token Selection for Aerial-Ground Person Re-Identification—0
Dynamic Voxel Grid Optimization for High-Fidelity RGB-D Supervised Surface Reconstruction—0
DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models—0
EasyControl: Adding Efficient and Flexible Control for Diffusion Transformer—0
Easy Transfer Learning By Exploiting Intra-domain Structures—0
Easz: An Agile Transformer-based Image Compression Framework for Resource-constrained IoTs—0
E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modeling—0
ECG-EmotionNet: Nested Mixture of Expert (NMoE) Adaptation of ECG-Foundation Model for Driver Emotion Recognition—0
Echo State Networks for Spatio-Temporal Area-Level Data—0
Economic Model Predictive Control for Periodic Operation: A Quadratic Programming Approach—0
Economic Model Predictive Control of Water Distribution Systems with Accelerated Optimization Algorithm—0
econSG: Efficient and Multi-view Consistent Open-Vocabulary 3D Semantic Gaussians—0
EcoWeedNet: A Lightweight and Automated Weed Detection Method for Sustainable Next-Generation Agricultural Consumer Electronics—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
EDGE++: Improved Training and Sampling of EDGE—0
EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models—0
EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model—0
Effective Interplay between Sparsity and Quantization: From Theory to Practice—0
Effective Real Image Editing with Accelerated Iterative Diffusion Inversion—0
Effects of Reactive Social Distancing on the 1918 Influenza Pandemic—0
EffiCANet: Efficient Time Series Forecasting with Convolutional Attention—0
Efficiency in Real-time Webcam Gaze Tracking—0
Efficient Action Recognition Using Confidence Distillation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified