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

Showing 39263950 of 4891 papers

TitleStatusHype
Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliersCode0
Training Sparse Neural Network by Constraining Synaptic Weight on Unit Lp Sphere0
Joint User Association and Power Allocation in Heterogeneous Ultra Dense Network via Semi-Supervised Representation Learning0
Physical model simulator-trained neural network for computational 3D phase imaging of multiple-scattering samples0
Backup Plan Constrained Model Predictive Control0
Combining distribution-based neural networks to predict weather forecast probabilitiesCode0
Online Learning Koopman operator for closed-loop electrical neurostimulation in epilepsy0
Parallel Model Exploration for Tumor Treatment SimulationsCode0
Distributed Experiment Design and Control for Multi-agent Systems with Gaussian Processes0
A VAE-Bayesian Deep Learning Scheme for Solar Generation Forecasting based on Dimensionality Reduction0
Sinusoidal Parameter Estimation from Signed Measurements via Majorization-Minimization Based RELAX0
Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP0
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack0
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network0
K-expectiles clustering0
RMP2: A Structured Composable Policy Class for Robot Learning0
Analytically Tractable Inference in Deep Neural Networks0
Loosely Synchronized Search for Multi-agent Path Finding with Asynchronous Actions0
HTMD-Net: A Hybrid Masking-Denoising Approach to Time-Domain Monaural Singing Voice Separation0
Accumulations of Projections--A Unified Framework for Random Sketches in Kernel Ridge Regression0
Joint Network Topology Inference via Structured Fusion Regularization0
Eigen-spectrograms: An interpretable feature space for bearing fault diagnosis based on artificial intelligence and image processing0
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference0
Anharmonic Raman spectra simulation of crystals from deep neural networks0
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified