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 971–980 of 4891 papers

TitleStatusHype
Computation-efficient Virtual Sensing Approach with Multichannel Adjoint Least Mean Square Algorithm—0
Computation of safe disturbance sets using implicit RPI sets—0
Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods—0
Computing Forward Reachable Sets for Nonlinear Adaptive Multirotor Controllers—0
Aerodynamic and structural airfoil shape optimisation via Transfer Learning-enhanced Deep Reinforcement Learning—0
A Comprehensive Survey of Action Quality Assessment: Method and Benchmark—0
Approximate Model-Based Diagnosis Using Greedy Stochastic Search—0
An Online Prediction Algorithm for Reinforcement Learning with Linear Function Approximation using Cross Entropy Method—0
Cognitive maps are generative programs—0
Towards Efficient Educational Chatbots: Benchmarking RAG Frameworks—0
Show:102550
← PrevPage 98 of 490Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified