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 701–725 of 4891 papers

TitleStatusHype
CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal ControlCode1
SDF-TopoNet: A Two-Stage Framework for Tubular Structure Segmentation via SDF Pre-training and Topology-Aware Fine-TuningCode0
DynRsl-VLM: Enhancing Autonomous Driving Perception with Dynamic Resolution Vision-Language Models—0
Comparative Analysis of Advanced AI-based Object Detection Models for Pavement Marking Quality Assessment during Daytime—0
Spatio-temporal Fourier Transformer (StFT) for Long-term Dynamics Prediction—0
Context-Aware Rule Mining Using a Dynamic Transformer-Based Framework—0
Pathology Image Compression with Pre-trained Autoencoders—0
Distance-Based Tree-Sliced Wasserstein DistanceCode0
Scalable Global Solution Techniques for High-Dimensional Models in Dynare—0
MMS-LLaMA: Efficient LLM-based Audio-Visual Speech Recognition with Minimal Multimodal Speech TokensCode1
FlowKac: An Efficient Neural Fokker-Planck solver using Temporal Normalizing flows and the Feynman Kac-FormulaCode0
Sparse Dictionary Learning for Image Recovery by Iterative Shrinkage—0
Automated Tomato Maturity Estimation Using an Optimized Residual Model with Pruning and Quantization Techniques—0
Evaluating a Novel Neuroevolution and Neural Architecture Search System—0
Lightweight Models for Emotional Analysis in VideoCode0
HyperArm Bandit Optimization: A Novel approach to Hyperparameter Optimization and an Analysis of Bandit Algorithms in Stochastic and Adversarial Settings—0
Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers—0
Multi-Modal Mamba Modeling for Survival Prediction (M4Survive): Adapting Joint Foundation Model RepresentationsCode2
LVAgent: Long Video Understanding by Multi-Round Dynamical Collaboration of MLLM Agents—0
RoMA: Scaling up Mamba-based Foundation Models for Remote SensingCode2
CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles—0
Distilling Diversity and Control in Diffusion Models—0
Low-Rank Matrix Regression via Least-Angle Regression—0
Meta-learning characteristics and dynamics of quantum systems—0
Efficient Multi-Task Inferencing: Model Merging with Gromov-Wasserstein Feature Alignment—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified