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 3826–3850 of 4891 papers

TitleStatusHype
Physical model simulator-trained neural network for computational 3D phase imaging of multiple-scattering samples—0
Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and RegularizationCode1
Joint User Association and Power Allocation in Heterogeneous Ultra Dense Network via Semi-Supervised Representation Learning—0
Backup Plan Constrained Model Predictive Control—0
Combining distribution-based neural networks to predict weather forecast probabilitiesCode0
Online Learning Koopman operator for closed-loop electrical neurostimulation in epilepsy—0
Parallel Model Exploration for Tumor Treatment SimulationsCode0
Distributed Experiment Design and Control for Multi-agent Systems with Gaussian Processes—0
A VAE-Bayesian Deep Learning Scheme for Solar Generation Forecasting based on Dimensionality Reduction—0
Deep Implicit Moving Least-Squares Functions for 3D ReconstructionCode1
DeepOPF-V: Solving AC-OPF Problems EfficientlyCode1
Sinusoidal Parameter Estimation from Signed Measurements via Majorization-Minimization Based RELAX—0
MoViNets: Mobile Video Networks for Efficient Video RecognitionCode1
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack—0
Forward and Backward Bellman equations improve the efficiency of EM algorithm for DEC-POMDP—0
DCF-ASN: Coarse-to-fine Real-time Visual Tracking via Discriminative Correlation Filter and Attentional Siamese Network—0
K-expectiles clustering—0
RMP2: A Structured Composable Policy Class for Robot Learning—0
Analytically Tractable Inference in Deep Neural Networks—0
Enhancing Medical Image Registration via Appearance Adjustment NetworksCode1
Loosely Synchronized Search for Multi-agent Path Finding with Asynchronous Actions—0
HTMD-Net: A Hybrid Masking-Denoising Approach to Time-Domain Monaural Singing Voice Separation—0
Accumulations of Projections--A Unified Framework for Random Sketches in Kernel Ridge Regression—0
A Hybrid CNN-BiLSTM Voice Activity DetectorCode1
Eigen-spectrograms: An interpretable feature space for bearing fault diagnosis based on artificial intelligence and image processing—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified