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 3326–3350 of 4891 papers

TitleStatusHype
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty—0
K-BMPC: Derivative-based Koopman Bilinear Model Predictive Control for Tractor-Trailer Trajectory Tracking with Unknown Parameters—0
KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection—0
Kernel Density Machines—0
Stein Variational Gradient Descent with Multiple Kernel—0
Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels—0
K-expectiles clustering—0
Kinematics and Dynamics Modeling of 7 Degrees of Freedom Human Lower Limb Using Dual Quaternions Algebra—0
KIPPO: Koopman-Inspired Proximal Policy Optimization—0
kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection—0
k-NN as a Simple and Effective Estimator of Transferability—0
Knowledge Distillation Circumvents Nonlinearity for Optical Convolutional Neural Networks—0
Kolmogorov-Arnold Fourier Networks—0
KunlunBaize: LLM with Multi-Scale Convolution and Multi-Token Prediction Under TransformerX Framework—0
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks—0
Label-shift robust federated feature screening for high-dimensional classification—0
Landmark Alternating Diffusion—0
Landmark-Aware and Part-based Ensemble Transfer Learning Network for Facial Expression Recognition from Static images—0
Landmark Ordinal Embedding—0
Langevin Monte Carlo: random coordinate descent and variance reduction—0
Language modelling techniques for analysing the impact of human genetic variation—0
LanTu: Dynamics-Enhanced Deep Learning for Eddy-Resolving Ocean Forecasting—0
Laplace HypoPINN: Physics-Informed Neural Network for hypocenter localization and its predictive uncertainty—0
Large Language Model Guided Self-Debugging Code Generation—0
Large-scale Multi-objective Feature Selection: A Multi-phase Search Space Shrinking Approach—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified