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 4151–4200 of 4891 papers

TitleStatusHype
Combining the band-limited parameterization and Semi-Lagrangian Runge--Kutta integration for efficient PDE-constrained LDDMM—0
GAP++: Learning to generate target-conditioned adversarial examples—0
Neural Network Activation Quantization with Bitwise Information BottlenecksCode0
Smart Forgetting for Safe Online Learning with Gaussian Processes—0
Learning Mixtures of Random Utility Models with Features from Incomplete Preferences—0
Look Locally Infer Globally: A Generalizable Face Anti-Spoofing Approach—0
Anomaly Detection with Tensor Networks—0
Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models—0
Learning to Generate 3D Training Data Through Hybrid Gradient—0
On scenario construction for stochastic shortest path problems in real road networks—0
Instability, Computational Efficiency and Statistical Accuracy—0
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive UncertaintiesCode0
Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators with Massive Data—0
MOTS: Multiple Object Tracking for General Categories Based On Few-Shot Method—0
An Efficient Machine-Learning Approach for PDF Tabulation in Turbulent Combustion Closure—0
Speech to Text Adaptation: Towards an Efficient Cross-Modal Distillation—0
Convolutional Neural Network for emotion recognition to assist psychiatrists and psychologists during the COVID-19 pandemic: experts opinion—0
Visual Perception Model for Rapid and Adaptive Low-light Image Enhancement—0
Walking with Perception: Efficient Random Walk Sampling via Common Neighbor Awareness—0
Accelerating Deep Neuroevolution on Distributed FPGAs for Reinforcement Learning Problems—0
Dynamic Shrinkage Priors for Large Time-varying Parameter Regressions using Scalable Markov Chain Monte Carlo Methods—0
The scalable Birth-Death MCMC Algorithm for Mixed Graphical Model Learning with Application to Genomic Data IntegrationCode0
Development of a skateboarding trick classifier using accelerometry and machine learningCode0
Mathematical foundations of stable RKHSs—0
Multilingual Joint Fine-tuning of Transformer models for identifying Trolling, Aggression and Cyberbullying at TRAC 2020Code0
The 4th AI City Challenge—0
Automatic exposure selection and fusion for high-dynamic-range photography via smartphones—0
Predicting Online Item-choice Behavior: A Shape-restricted Regression Perspective—0
Biophysically detailed mathematical models of multiscale cardiac active mechanicsCode0
Scaling Bayesian inference of mixed multinomial logit models to very large datasets—0
Encoder blind combinatorial compressed sensing—0
Cortical surface registration using unsupervised learningCode0
Towards Reusable Network Components by Learning Compatible Representations—0
Direct loss minimization algorithms for sparse Gaussian processesCode0
Radon cumulative distribution transform subspace modeling for image classificationCode0
Efficient Scale Estimation Methods using Lightweight Deep Convolutional Neural Networks for Visual Tracking—0
Genetic Algorithmic Parameter Optimisation of a Recurrent Spiking Neural Network Model—0
Coping With Simulators That Don't Always ReturnCode0
Multi-target regression via output space quantization—0
Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix—0
Gated Texture CNN for Efficient and Configurable Image DenoisingCode0
On the Radiality Constraints for Distribution System Restoration and Reconfiguration Problems—0
A High-Performance Object Proposals based on Horizontal High Frequency Signal—0
Texture Superpixel Clustering from Patch-based Nearest Neighbor Matching—0
SDVTracker: Real-Time Multi-Sensor Association and Tracking for Self-Driving Vehicles—0
Energy-efficient and Robust Cumulative Training with Net2Net Transformation—0
Learning Directly from Grammar Compressed TextCode0
A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model with an FPGA Implementation—0
Solving ODE with Universal Flows: Approximation Theory for Flow-Based Models—0
TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar Systems—0
Show:102550
← PrevPage 84 of 98Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified