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 4626–4650 of 4891 papers

TitleStatusHype
Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering—0
GAGA: Deciphering Age-path of Generalized Self-paced Regularizer—0
Gain with no Pain: Efficient Kernel-PCA by Nyström Sampling—0
Gait Recognition via Disentangled Representation Learning—0
GANCompress: GAN-Enhanced Neural Image Compression with Binary Spherical Quantization—0
GAP++: Learning to generate target-conditioned adversarial examples—0
GARLIC: LLM-Guided Dynamic Progress Control with Hierarchical Weighted Graph for Long Document QA—0
GAS: Generative Auto-bidding with Post-training Search—0
GateAttentionPose: Enhancing Pose Estimation with Agent Attention and Improved Gated Convolutions—0
GausSim: Foreseeing Reality by Gaussian Simulator for Elastic Objects—0
Gaussian credible intervals in Bayesian nonparametric estimation of the unseen—0
Gaussian Moments as Physically Inspired Molecular Descriptors for Accurate and Scalable Machine Learning Potentials—0
Gaussian Process-based Approach for Bilevel Optimization in the Power System -- A Critical Load Restoration Case—0
Gaussian Process Policy Iteration with Additive Schwarz Acceleration for Forward and Inverse HJB and Mean Field Game Problems—0
Gaussian Process Regression for Inverse Problems in Linear PDEs—0
Gaussian Primitives for Deformable Image Registration—0
GaussianVAE: Adaptive Learning Dynamics of 3D Gaussians for High-Fidelity Super-Resolution—0
GauS-SLAM: Dense RGB-D SLAM with Gaussian Surfels—0
Gaze-based dual resolution deep imitation learning for high-precision dexterous robot manipulation—0
GDP-GFCF Dynamics Across Global Economies: A Comparative Study of Panel Regressions and Random Forest—0
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation—0
GELU Activation Function in Deep Learning: A Comprehensive Mathematical Analysis and Performance—0
Gene expression modelling across multiple cell-lines with MapReduce—0
Generalizability of Mixture of Domain-Specific Adapters from the Lens of Signed Weight Directions and its Application to Effective Model Pruning—0
Generalizable Implicit Neural Representations via Parameterized Latent Dynamics for Baroclinic Ocean Forecasting—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified