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 801–825 of 4891 papers

TitleStatusHype
Input Convex Lipschitz RNN: A Fast and Robust Approach for Engineering TasksCode0
Instance Segmentation of Biological Images Using Harmonic EmbeddingsCode0
Arbitrary-Oriented Scene Text Detection via Rotation ProposalsCode0
-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite DimensionsCode0
Inner and Inter Label Propagation: Salient Object Detection in the WildCode0
Inferring subhalo effective density slopes from strong lensing observations with neural likelihood-ratio estimationCode0
A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret PerformanceCode0
Influence Maximization in Temporal Social Networks with a Cold-Start Problem: A Supervised ApproachCode0
Innovative LSGTime Model for Crime Spatiotemporal Prediction Based on MindSpore FrameworkCode0
Instant Particle Size Distribution Measurement Using CNNs Trained on Synthetic DataCode0
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceCode0
A Fast Bootstrap Algorithm for Causal Inference with Large DataCode0
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory NetworksCode0
Improving Variational Auto-Encoders using Householder FlowCode0
A projected nonlinear state-space model for forecasting time series signalsCode0
Inference Scaling vs Reasoning: An Empirical Analysis of Compute-Optimal LLM Problem-SolvingCode0
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
Inferring directed spectral information flow between mixed-frequency time seriesCode0
Approximation of the Proximal Operator of the _ Norm Using a Neural NetworkCode0
Approximation-free Control for Signal Temporal Logic Specifications using Spatiotemporal TubesCode0
Improving Generalization of Medical Image Registration Foundation ModelCode0
A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging DataCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified