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 1351–1375 of 4891 papers

TitleStatusHype
Bayesian Models of Data Streams with Hierarchical Power Priors—0
Bayesian l_0-regularized Least Squares—0
BInGo: Bayesian Intrinsic Groupwise Registration via Explicit Hierarchical Disentanglement—0
Bayesian inference for low rank spatiotemporal neural receptive fields—0
Adaptive Conditional Expert Selection Network for Multi-domain Recommendation—0
Local MDI+: Local Feature Importances for Tree-Based Models—0
Bayesian Estimation and Tuning-Free Rank Detection for Probability Mass Function Tensors—0
Scale-Space Hypernetworks for Efficient Biomedical Imaging—0
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation—0
Adaptive Clustering for Efficient Phenotype Segmentation of UAV Hyperspectral Data—0
Efficiently Expanding Receptive Fields: Local Split Attention and Parallel Aggregation for Enhanced Large-scale Point Cloud Semantic Segmentation—0
Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models—0
Efficient MPC for Emergency Evasive Maneuvers, Part II: Comparative Assessment for Hybrid Control—0
Amortized Bayesian Local Interpolation NetworK: Fast covariance parameter estimation for Gaussian Processes—0
Do we become wiser with time? On causal equivalence with tiered background knowledge—0
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables—0
Batch-FPM: Random batch-update multi-parameter physical Fourier ptychography neural network—0
Efficient Large-Scale Multi-Modal Classification—0
Batches Stabilize the Minimum Norm Risk in High Dimensional Overparameterized Linear Regression—0
Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data—0
Efficient Language Model Architectures for Differentially Private Federated Learning—0
A Monte Carlo Language Model Pipeline for Zero-Shot Sociopolitical Event Extraction—0
DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing—0
Batch Normalization Sampling—0
Basis Pursuit Denoising via Recurrent Neural Network Applied to Super-resolving SAR Tomography—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified