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 4851–4891 of 4891 papers

TitleStatusHype
Imitation Learning of Neural Spatio-Temporal Point ProcessesCode0
Scaling Video Analytics on Constrained Edge NodesCode0
Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO*Code0
DeepMediX: A Deep Learning-Driven Resource-Efficient Medical Diagnosis Across the SpectrumCode0
Trade-offs in Large-Scale Distributed Tuplewise Estimation and LearningCode0
A denoised Mean Teacher for domain adaptive point cloud registrationCode0
A Temporal Linear Network for Time Series ForecastingCode0
Template-Guided Reconstruction of Pulmonary Segments with Neural Implicit FunctionsCode0
Template Kernels for Dependency ParsingCode0
Boundary Graph Neural Networks for 3D SimulationsCode0
TrafficKAN-GCN: Graph Convolutional-based Kolmogorov-Arnold Network for Traffic Flow OptimizationCode0
Nonlinearity and Uncertainty Informed Moment-Matching Gaussian Mixture SplittingCode0
ReL-SAR: Representation Learning for Skeleton Action Recognition with Convolutional Transformers and BYOLCode0
Enhancing Transformer-based models for Long Sequence Time Series Forecasting via Structured MatrixCode0
Multiview learning with twin parametric margin SVMCode0
Source-free Active Domain Adaptation for Diabetic Retinopathy Grading Based on Ultra-wide-field Fundus ImageCode0
Temporal Encoding Strategies for Energy Time Series PredictionCode0
A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and LinesCode0
Deep-learning the Latent Space of Light TransportCode0
Repetita Iuvant: Data Repetition Allows SGD to Learn High-Dimensional Multi-Index FunctionsCode0
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based ModelsCode0
Energy and polarization based on-line interference mitigation in radio interferometryCode0
End-to-end reconstruction meets data-driven regularization for inverse problemsCode0
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural NetworksCode0
Deep Learning for Early Alzheimer Disease Detection with MRI ScansCode0
Topology-based Representative Datasets to Reduce Neural Network Training ResourcesCode0
Novel OCT mosaicking pipeline with Feature- and Pixel-based registrationCode0
Novel optimized crow search algorithm for feature selectionCode0
Unifying Dimensions: A Linear Adaptive Approach to Lightweight Image Super-ResolutionCode0
Training Domain Specific Models for Energy-Efficient Object DetectionCode0
End-to-End Deep Learning for Structural Brain Imaging: A Unified FrameworkCode0
ZeroShape: Regression-based Zero-shot Shape ReconstructionCode0
Repulsive Latent Score Distillation for Solving Inverse ProblemsCode0
Deep Learning Evidence for Global Optimality of Gerver's SofaCode0
Training-Free Exponential Context Extension via Cascading KV CacheCode0
Sparse Covariance Neural NetworksCode0
Electric Field Models of Transcranial Magnetic Stimulation Coils with Arbitrary Geometries: Reconstruction from Incomplete Magnetic Field MeasurementsCode0
A Targeted Accuracy Diagnostic for Variational ApproximationsCode0
Boosting MLPs with a Coarsening Strategy for Long-Term Time Series ForecastingCode0
Efficient Transformer Encoders for Mask2Former-style modelsCode0
A Survey on Prompt TuningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified