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 3301–3350 of 4891 papers

TitleStatusHype
Improving Global Weather and Ocean Wave Forecast with Large Artificial Intelligence Models—0
Is Class-Incremental Enough for Continual Learning?—0
Is feature selection secure against training data poisoning?—0
Islanding Strategy for Smart Grids Oriented to Resilience Enhancement and Its Power Supply Range Optimization—0
Isogeometric Analysis for the Pricing of Financial Derivatives with Nonlinear Models: Convertible Bonds and Options—0
Isotonic regression with unknown permutations: Statistics, computation, and adaptation—0
Is Temporal Prompting All We Need For Limited Labeled Action Recognition?—0
Ister: Inverted Seasonal-Trend Decomposition Transformer for Explainable Multivariate Time Series Forecasting—0
Is the space complexity of planted clique recovery the same as that of detection?—0
Iterative Subsampling in Solution Path Clustering of Noisy Big Data—0
ITFormer: Bridging Time Series and Natural Language for Multi-Modal QA with Large-Scale Multitask Dataset—0
ITVTON:Virtual Try-On Diffusion Transformer Model Based on Integrated Image and Text—0
Jaya R Package -- A Parameter-Free Solution for Advanced Single and Multi-Objective Optimization—0
Joint Binary Neural Network for Multi-label Learning with Applications to Emotion Classification—0
Joint Design of Radar Receive Filter and Unimodular ISAC Waveform with Sidelobe Level Control—0
Joint Hierarchical Priors and Adaptive Spatial Resolution for Efficient Neural Image Compression—0
Joint MoE Scaling Laws: Mixture of Experts Can Be Memory Efficient—0
Joint Network Topology Inference via Structured Fusion Regularization—0
Joint Semantic Transfer Network for IoT Intrusion Detection—0
Joint Speech Translation and Named Entity Recognition—0
Joint System Modeling Approach for Fault Simulation of Start-er/Generator and Gas Generator in All-Electric APU—0
Joint User Association and Bandwidth Assignment for Digital Twin-Assisted Multi-RAT Networks—0
Joint User Association and Power Allocation in Heterogeneous Ultra Dense Network via Semi-Supervised Representation Learning—0
Jorge: Approximate Preconditioning for GPU-efficient Second-order Optimization—0
JSover: Joint Spectrum Estimation and Multi-Material Decomposition from Single-Energy CT Projections—0
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