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

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Showing 801–850 of 4891 papers

TitleStatusHype
Combining distribution-based neural networks to predict weather forecast probabilitiesCode0
Jointly Efficient and Optimal Algorithms for Logistic BanditsCode0
Arbitrary-Oriented Scene Text Detection via Rotation ProposalsCode0
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer VisionCode0
Iterative Semi-Supervised Learning for Abdominal Organs and Tumor SegmentationCode0
Iterative Distributed Multinomial RegressionCode0
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret PerformanceCode0
Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud RegistrationCode0
K^2IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson ProcessesCode0
Introducing a microstructure-embedded autoencoder approach for reconstructing high-resolution solution field data from a reduced parametric spaceCode0
A Fast Bootstrap Algorithm for Causal Inference with Large DataCode0
Interpretable Ensembles of Hyper-Rectangles as Base ModelsCode0
A projected nonlinear state-space model for forecasting time series signalsCode0
Interweaving Insights: High-Order Feature Interaction for Fine-Grained Visual RecognitionCode0
I-SplitEE: Image classification in Split Computing DNNs with Early ExitsCode0
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical ModelsCode0
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical ModelsCode0
A Practical Guide to Randomized Matrix Computations with MATLAB ImplementationsCode0
A framework for deep learning emulation of numerical models with a case study in satellite remote sensingCode0
Interpretable breast cancer classification using CNNs on mammographic imagesCode0
Iterative Approximate Cross-ValidationCode0
KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional ElementsCode0
Approximation of the Proximal Operator of the _ Norm Using a Neural NetworkCode0
Approximation-free Control for Signal Temporal Logic Specifications using Spatiotemporal TubesCode0
Online SuBmodular + SuPermodular (BP) Maximization with Bandit FeedbackCode0
A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging DataCode0
Interaction Measures, Partition Lattices and Kernel Tests for High-Order InteractionsCode0
Instance Segmentation of Biological Images Using Harmonic EmbeddingsCode0
Instant Particle Size Distribution Measurement Using CNNs Trained on Synthetic DataCode0
Approximate Message Passing with Parameter Estimation for Heavily Quantized MeasurementsCode0
-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite DimensionsCode0
Influence Maximization in Temporal Social Networks with a Cold-Start Problem: A Supervised ApproachCode0
Inner and Inter Label Propagation: Salient Object Detection in the WildCode0
Inferring directed spectral information flow between mixed-frequency time seriesCode0
Inference Scaling vs Reasoning: An Empirical Analysis of Compute-Optimal LLM Problem-SolvingCode0
Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimationCode0
Innovative LSGTime Model for Crime Spatiotemporal Prediction Based on MindSpore FrameworkCode0
Improving Variational Auto-Encoders using Householder FlowCode0
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceCode0
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory NetworksCode0
Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering TasksCode0
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distanceCode0
A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability DistributionsCode0
A Comparison of Deep Learning Methods for Cell Detection in Digital CytologyCode0
Implicit Regularization for Optimal Sparse RecoveryCode0
Improving Generalization of Medical Image Registration Foundation ModelCode0
Image Classification with CondenseNeXt for ARM-Based Computing PlatformsCode0
IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow EstimationCode0
Image Super-Resolution Using Dense Skip ConnectionsCode0
Model Input-Output Configuration Search with Embedded Feature Selection for Sensor Time-series and Image ClassificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified