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 1751–1800 of 4891 papers

TitleStatusHype
DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models—0
Explicifying Neural Implicit Fields for Efficient Dynamic Human Avatar Modeling via a Neural Explicit Surface—0
Exploiting Change Blindness for Video Coding: Perspectives from a Less Promising User Study—0
Distilling Diversity and Control in Diffusion Models—0
Avoiding Obfuscation with Prover-Estimator Debate—0
Exploiting Frequency Correlation for Hyperspectral Image Reconstruction—0
Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR—0
Fire-Image-DenseNet (FIDN) for predicting wildfire burnt area using remote sensing data—0
A VAE-Bayesian Deep Learning Scheme for Solar Generation Forecasting based on Dimensionality Reduction—0
Exploring Automatically Perturbed Natural Language Explanations in Relation Extraction—0
Exploring Brain Network Organization in Alzheimer Disease and Frontotemporal Dementia: A Crossplot Transition Entropy Approach—0
Financial fraud detection system based on improved random forest and gradient boosting machine (GBM)—0
AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features—0
Dissecting Physics Reasoning in Small Language Models: A Multi-Dimensional Analysis from an Educational Perspective—0
A Materials Foundation Model via Hybrid Invariant-Equivariant Architectures—0
Exploring Patterns Behind Sports—0
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach—0
A Marginalized Particle Gaussian Process Regression—0
Auto Tensor Singular Value Thresholding: A Non-Iterative and Rank-Free Framework for Tensor Denoising—0
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping—0
Exploring Tokenization Methods for Multitrack Sheet Music Generation—0
Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation—0
Exploring Winograd Convolution for Cost-effective Neural Network Fault Tolerance—0
Adapting Physics-Informed Neural Networks for Bifurcation Detection in Ecological Migration Models—0
Dispatch of Virtual Inertia and Damping: Numerical Method with SDP and ADMM—0
Extended Spherical Geometry Algorithm for Spaceborne SAR Processing in Stripmap and TOPS Imaging Modes—0
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders—0
Extending Machine Learning-Based Early Sepsis Detection to Different Demographics—0
Extracting and Learning a Dependency-Enhanced Type Lexicon for Dutch—0
Extracting man-made objects from remote sensing images via fast level set evolutions—0
Extracting Optimal Solution Manifolds using Constrained Neural Optimization—0
Extreme Value k-means Clustering—0
Finding path and cycle counting formulae in graphs with Deep Reinforcement Learning—0
Ex uno plures: Splitting One Model into an Ensemble of Subnetworks—0
A machine learning framework for data driven acceleration of computations of differential equations—0
Discriminative Transfer Learning for General Image Restoration—0
Factorized Asymptotic Bayesian Inference for Latent Feature Models—0
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels—0
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems—0
Fairness-aware Classification: Criterion, Convexity, and Bounds—0
Discriminative Shape From Shading in Uncalibrated Illumination—0
Discriminative Optimization: Theory and Applications to Point Cloud Registration—0
Cognitive maps are generative programs—0
Autonomous Wheel Loader Trajectory Tracking Control Using LPV-MPC—0
Few-Shot Data-Driven Algorithms for Low Rank Approximation—0
Discriminative Optimization: Theory and Applications to Computer Vision Problems—0
Coil Sketching for computationally-efficient MR iterative reconstruction—0
Fall Detection for Industrial Setups Using YOLOv8 Variants—0
Autonomous Structural Memory Manipulation for Large Language Models Using Hierarchical Embedding Augmentation—0
Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space—0
Show:102550
← PrevPage 36 of 98Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified