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 1876–1900 of 4891 papers

TitleStatusHype
RWKV-Lite: Deeply Compressed RWKV for Resource-Constrained Devices—0
Enhancing Off-Grid One-Bit DOA Estimation with Learning-Based Sparse Bayesian Approach for Non-Uniform Sparse Array—0
Pretrained Event Classification Model for High Energy Physics Analysis—0
Reliable and superior elliptic Fourier descriptor normalization and its application software ElliShape with efficient image processing—0
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and RegressionCode0
Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description—0
Evaluating the effectiveness, reliability and efficiency of a multi-objective sequential optimization approach for building performance design—0
Optimal Bounds for Private Minimum Spanning Trees via Input Perturbation—0
A Cascaded Dilated Convolution Approach for Mpox Lesion ClassificationCode0
Isogeometric Analysis for the Pricing of Financial Derivatives with Nonlinear Models: Convertible Bonds and Options—0
evS2CP: Real-time Simultaneous Speed and Charging Planner for Connected Electric Vehicles—0
Mojito: Motion Trajectory and Intensity Control for Video Generation—0
Operator Learning for Robust Stabilization of Linear Markov-Jumping Hyperbolic PDEs—0
Stellar parameter prediction and spectral simulation using machine learning—0
Wait-Less Offline Tuning and Re-solving for Online Decision Making—0
Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting—0
From Noise to Nuance: Advances in Deep Generative Image Models—0
New keypoint-based approach for recognising British Sign Language (BSL) from sequences—0
FLRONet: Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction from Sparse Sensor Measurements—0
Improving Satellite Imagery Masking using Multi-task and Transfer Learning—0
Breaking the Bias: Recalibrating the Attention of Industrial Anomaly Detection—0
Two-way Node Popularity Model for Directed and Bipartite NetworksCode0
Efficient Gravitational Wave Parameter Estimation via Knowledge Distillation: A ResNet1D-IAF Approach—0
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node ClassificationCode0
DiffRaman: A Conditional Latent Denoising Diffusion Probabilistic Model for Bacterial Raman Spectroscopy Identification Under Limited Data Conditions—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified