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 1051–1100 of 4891 papers

TitleStatusHype
An Integer Polynomial Programming Based Framework for Lifted MAP Inference—0
An Integer Clustering Approach for Modeling Large-Scale EV Fleets with Guaranteed Performance—0
Class-relevant Patch Embedding Selection for Few-Shot Image Classification—0
A Diagrammatic Approach to Improve Computational Efficiency in Group Equivariant Neural Networks—0
Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
Classification of residential and non-residential buildings based on satellite data using deep learning—0
Classification of Power Quality Disturbances Using Resnet with Channel Attention Mechanism—0
An Innovative Networks in Federated Learning—0
Classification of Occluded Objects using Fast Recurrent Processing—0
An Initial Seed Selection Algorithm for K-means Clustering of Georeferenced Data to Improve Replicability of Cluster Assignments for Mapping Application—0
A Derivative-free Method for Quantum Perceptron Training in Multi-layered Neural Networks—0
Split-Merge: A Difference-based Approach for Dominant Eigenvalue Problem—0
A DenseNet Based Approach for Multi-Frame In-Loop Filter in HEVC—0
An inexact Newton-Krylov algorithm for constrained diffeomorphic image registration—0
3D Gaussian Adaptive Reconstruction for Fourier Light-Field Microscopy—0
CLAMP: Majorized Plug-and-Play for Coherent 3D LIDAR Imaging—0
An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration—0
DiffAutoML: Differentiable Joint Optimization for Efficient End-to-End Automated Machine Learning—0
Connection Sensitivity Matters for Training-free DARTS: From Architecture-Level Scoring to Operation-Level Sensitivity Analysis—0
Differentiable Point-based Inverse Rendering—0
DiffFNO: Diffusion Fourier Neural Operator—0
An Improved Finite Element Modeling Method for Triply Periodic Minimal Surface Structures Based on Element Size and Minimum Jacobian—0
CIMON: Towards High-quality Hash Codes—0
A Chaining Algorithm for Online Nonparametric Regression—0
CiliaGraph: Enabling Expression-enhanced Hyper-Dimensional Computation in Ultra-Lightweight and One-Shot Graph Classification on Edge—0
ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono—0
An improved chromosome formulation for genetic algorithms applied to variable selection with the inclusion of interaction terms—0
DGSAM: Domain Generalization via Individual Sharpness-Aware Minimization—0
CHIRRUP: a practical algorithm for unsourced multiple access—0
Characterizing the Evasion Attackability of Multi-label Classifiers—0
Anharmonic Raman spectra simulation of crystals from deep neural networks—0
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction—0
Modeling Psychotherapy Dialogues with Kernelized Hashcode Representations: A Nonparametric Information-Theoretic Approach—0
Characteristic Neural Ordinary Differential Equations—0
Change Detection from Synthetic Aperture Radar Images via Dual Path Denoising Network—0
Chain-of-Thought Enhanced Shallow Transformers for Wireless Symbol Detection—0
An FPGA-Based Accelerator Enabling Efficient Support for CNNs with Arbitrary Kernel Sizes—0
CGP-Tuning: Structure-Aware Soft Prompt Tuning for Code Vulnerability Detection—0
An Extended Kalman Filter Integrated Latent Feature Model on Dynamic Weighted Directed Graphs—0
An Extended Integral Unit Commitment Formulation and an Iterative Algorithm for Convex Hull Pricing—0
CFMD: Dynamic Cross-layer Feature Fusion for Salient Object Detection—0
A Deep Learning Model for Traffic Flow State Classification Based on Smart Phone Sensor Data—0
GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs—0
DIET-SNN: A Low-Latency Spiking Neural Network with Direct Input Encoding & Leakage and Threshold Optimization—0
CFIS-YOLO: A Lightweight Multi-Scale Fusion Network for Edge-Deployable Wood Defect Detection—0
CFARNet: Learning-Based High-Resolution Multi-Target Detection for Rainbow Beam Radar—0
An Explainable Reconfiguration-Based Optimization Algorithm for Industrial and Reliability-Redundancy Allocation Problems—0
CerviXpert: A Multi-Structural Convolutional Neural Network for Predicting Cervix Type and Cervical Cell Abnormalities—0
A new weakly supervised approach for ALS point cloud semantic segmentation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified