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 676–700 of 4891 papers

TitleStatusHype
JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion ModelsCode1
KARMA: A Multilevel Decomposition Hybrid Mamba Framework for Multivariate Long-Term Time Series ForecastingCode1
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and MappingCode1
BayOTIDE: Bayesian Online Multivariate Time series Imputation with functional decompositionCode1
DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles via Deep Learning MethodsCode1
Large-scale moral machine experiment on large language modelsCode1
Latent Diffusion Autoencoders: Toward Efficient and Meaningful Unsupervised Representation Learning in Medical ImagingCode1
Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety FilterCode1
EfficientPose: Scalable single-person pose estimationCode1
Learnable Lookup Table for Neural Network QuantizationCode1
Learning an Adaptive Meta Model-Generator for Incrementally Updating Recommender SystemsCode1
Deep Implicit Moving Least-Squares Functions for 3D ReconstructionCode1
A Control-Oriented Simplified Single Particle Model with Grouped Parameter and Sensitivity Analysis for Lithium-Ion BatteriesCode1
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsCode1
Bayesian inference for logistic models using Polya-Gamma latent variablesCode1
Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive HypergraphsCode1
Learning Enriched Features via Selective State Spaces Model for Efficient Image DeblurringCode1
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)Code1
Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP StandardsCode1
DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural NetworksCode1
Decomposing non-stationary signals with time-varying wave-shape functionsCode1
LIMOPro: Reasoning Refinement for Efficient and Effective Test-time ScalingCode1
Linear Reduced Order Model Predictive ControlCode1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
Deep Learning for Hate Speech Detection: A Comparative StudyCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified