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 1076–1100 of 4891 papers

TitleStatusHype
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