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 4801–4825 of 4891 papers

TitleStatusHype
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG SignalsCode0
CIRO: COVID-19 infection risk ontologyCode0
Recurrent Localization Networks applied to the Lippmann-Schwinger EquationCode0
Slicing the Gaussian Mixture Wasserstein DistanceCode0
Recurrent Neural Networks for Dynamic VWAP Execution: Adaptive Trading Strategies with Temporal Kolmogorov-Arnold NetworksCode0
TaLU: A Hybrid Activation Function Combining Tanh and Rectified Linear Unit to Enhance Neural NetworksCode0
A Training-Free Conditional Diffusion Model for Learning Stochastic Dynamical SystemsCode0
ETC-NLG: End-to-end Topic-Conditioned Natural Language GenerationCode0
Neural Generalized Ordinary Differential Equations with Layer-varying ParametersCode0
An Interpretable Approach to Load Profile Forecasting in Power Grids using Galerkin-Approximated Koopman PseudospectraCode0
Estimating Time-Varying Graphical ModelsCode0
DeepRTE: Pre-trained Attention-based Neural Network for Radiative TranferCode0
CGKN: A Deep Learning Framework for Modeling Complex Dynamical Systems and Efficient Data AssimilationCode0
Ensemble transport smoothing. Part I: Unified frameworkCode0
Towards Robust LLMs: an Adversarial Robustness Measurement FrameworkCode0
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation LearningCode0
Ensemble Prediction via Covariate-dependent StackingCode0
Language Models with TransformersCode0
Neural Multigrid Memory For Computational Fluid DynamicsCode0
Neural Multisensory Scene InferenceCode0
Neural Network Activation Quantization with Bitwise Information BottlenecksCode0
Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time DomainCode0
Advanced Volleyball Stats for All Levels: Automatic Setting Tactic Detection and Classification with a Single CameraCode0
Reducing Capacity Gap in Knowledge Distillation with Review Mechanism for Crowd CountingCode0
Neural Network Pruning by Gradient DescentCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified