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 626–650 of 4891 papers

TitleStatusHype
Deep Learning for Hate Speech Detection: A Comparative StudyCode1
Bayesian inference for logistic models using Polya-Gamma latent variablesCode1
Augmented Lagrangian Adversarial AttacksCode1
DeePoly: A High-Order Accuracy Scientific Machine Learning Framework for Function Approximation and Solving PDEsCode1
Deep Speech Synthesis from MRI-Based Articulatory RepresentationsCode1
FTMixer: Frequency and Time Domain Representations Fusion for Time Series ModelingCode1
Fully 11 Convolutional Network for Lightweight Image Super-ResolutionCode1
A Simple Local Minimal Intensity Prior and An Improved Algorithm for Blind Image DeblurringCode1
FViT: A Focal Vision Transformer with Gabor FilterCode1
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)Code1
Deep Implicit Moving Least-Squares Functions for 3D ReconstructionCode1
Geometry-Informed Neural Operator TransformerCode1
Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language TranslationCode1
Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive HypergraphsCode1
A deep inverse reinforcement learning approach to route choice modeling with context-dependent rewardsCode1
Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative StudyCode1
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and RetrievalCode1
A Control-Oriented Simplified Single Particle Model with Grouped Parameter and Sensitivity Analysis for Lithium-Ion BatteriesCode1
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image ClassificationCode1
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference AccelerationCode1
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical AnalysisCode1
GS-I^3: Gaussian Splatting for Surface Reconstruction from Illumination-Inconsistent ImagesCode1
Guidelines and Evaluation of Clinical Explainable AI in Medical Image AnalysisCode1
M3-Jepa: Multimodal Alignment via Multi-directional MoE based on the JEPA frameworkCode1
Learning Enriched Features via Selective State Spaces Model for Efficient Image DeblurringCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified