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 37263750 of 4891 papers

TitleStatusHype
Batch Normalization Sampling0
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation0
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors0
Bayesian inference for low rank spatiotemporal neural receptive fields0
BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement0
Bayesian l_0-regularized Least Squares0
Bayesian Models of Data Streams with Hierarchical Power Priors0
Bayesian Neural Networks with Variance Propagation for Uncertainty Evaluation0
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces0
Bayesian Optimal Control of Smoothly Parameterized Systems: The Lazy Posterior Sampling Algorithm0
Bayesian Optimization by Kernel Regression and Density-based Exploration0
Bayesian Optimization for Hyperparameters Tuning in Neural Networks0
Bayesian Patchworks: An Approach to Case-Based Reasoning0
Bayesian Probabilistic Matrix Factorization0
Bayesian Quantum Neural Network for Renewable-Rich Power Flow with Training Efficiency and Generalization Capability Improvements0
Bayesian Sequential Stacking Algorithm for Concurrently Designing Molecules and Synthetic Reaction Networks0
Bayesian Spatial Field Reconstruction with Unknown Distortions in Sensor Networks0
Bayesian Structural Model Updating with Multimodal Variational Autoencoder0
Bayesian Structure Learning by Recursive Bootstrap0
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval0
BCSSN: Bi-direction Compact Spatial Separable Network for Collision Avoidance in Autonomous Driving0
BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data0
Bee-yond the Plateau: Training QNNs with Swarm Algorithms0
Benchmark Evaluation of Image Fusion algorithms for Smartphone Camera Capture0
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified