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

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Showing 3701–3750 of 4891 papers

TitleStatusHype
Automatic Operator-level Parallelism Planning for Distributed Deep Learning -- A Mixed-Integer Programming Approach—0
Autonomous and Connected Intersection Crossing Traffic Management using Discrete-Time Occupancies Trajectory—0
Autonomous Structural Memory Manipulation for Large Language Models Using Hierarchical Embedding Augmentation—0
Autonomous Wheel Loader Trajectory Tracking Control Using LPV-MPC—0
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders—0
Auto Tensor Singular Value Thresholding: A Non-Iterative and Rank-Free Framework for Tensor Denoising—0
AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features—0
A VAE-Bayesian Deep Learning Scheme for Solar Generation Forecasting based on Dimensionality Reduction—0
Avoiding Obfuscation with Prover-Estimator Debate—0
Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection—0
Backhaul-Constrained Multi-Cell Cooperation Leveraging Sparsity and Spectral Clustering—0
Backpropagation-free Spiking Neural Networks with the Forward-Forward Algorithm—0
Backstepping Mean-Field Density Control for Large-Scale Heterogeneous Nonlinear Stochastic Systems—0
Backup Plan Constrained Model Predictive Control—0
Backup Plan Constrained Model Predictive Control with Guaranteed Stability—0
Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting—0
Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications—0
Balancing Performance and Efficiency in Zero-shot Robotic Navigation—0
Balancing training time vs. performance with Bayesian Early Pruning—0
Bandit Change-Point Detection for Real-Time Monitoring High-Dimensional Data Under Sampling Control—0
Bandit-Driven Batch Selection for Robust Learning under Label Noise—0
Basis functions nonlinear data-enabled predictive control: Consistent and computationally efficient formulations—0
Basis Pursuit Denoising via Recurrent Neural Network Applied to Super-resolving SAR Tomography—0
Batches Stabilize the Minimum Norm Risk in High Dimensional Overparameterized Linear Regression—0
Batch-FPM: Random batch-update multi-parameter physical Fourier ptychography neural network—0
Batch Normalization Sampling—0
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation—0
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors—0
Bayesian inference for low rank spatiotemporal neural receptive fields—0
BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement—0
Bayesian l_0-regularized Least Squares—0
Bayesian Models of Data Streams with Hierarchical Power Priors—0
Bayesian Neural Networks with Variance Propagation for Uncertainty Evaluation—0
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces—0
Bayesian Optimal Control of Smoothly Parameterized Systems: The Lazy Posterior Sampling Algorithm—0
Bayesian Optimization by Kernel Regression and Density-based Exploration—0
Bayesian Optimization for Hyperparameters Tuning in Neural Networks—0
Bayesian Patchworks: An Approach to Case-Based Reasoning—0
Bayesian Probabilistic Matrix Factorization—0
Bayesian Quantum Neural Network for Renewable-Rich Power Flow with Training Efficiency and Generalization Capability Improvements—0
Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks—0
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks—0
Bayesian Structural Model Updating with Multimodal Variational Autoencoder—0
Bayesian Structure Learning by Recursive Bootstrap—0
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval—0
BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving—0
BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data—0
Bee-yond the Plateau: Training QNNs with Swarm Algorithms—0
Benchmark Evaluation of Image Fusion algorithms for Smartphone Camera Capture—0
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified