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 2251–2300 of 4891 papers

TitleStatusHype
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training—0
A Data-Driven Sparse Polynomial Chaos Expansion Method to Assess Probabilistic Total Transfer Capability for Power Systems with Renewables—0
Sparse solutions of the kernel herding algorithm by improved gradient approximation—0
BOTS-LM: Training Large Language Models for Setswana—0
Efficient Test-time Adaptive Object Detection via Sensitivity-Guided Pruning—0
Breaking the Bias: Recalibrating the Attention of Industrial Anomaly Detection—0
Efficient Tensor Contraction via Fast Count Sketch—0
Efficient surrogate modeling methods for large-scale Earth system models based on machine learning techniques—0
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting—0
Uncertainty-aware Efficient Subgraph Isomorphism using Graph Topology—0
Efficient Stochastic Gradient Hard Thresholding—0
Efficient State-Space Inference of Periodic Latent Force Models—0
Efficient Spiking Point Mamba for Point Cloud Analysis—0
Brain Tumor Diagnosis Using Quantum Convolutional Neural Networks—0
An efficient search-and-score algorithm for ancestral graphs using multivariate information scores—0
Efficient Spatio-Temporal Signal Recognition on Edge Devices Using PointLCA-Net—0
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement—0
Brain Stroke Classification Using Wavelet Transform and MLP Neural Networks on DWI MRI Images—0
Efficient Sound Field Reconstruction with Conditional Invertible Neural Networks—0
Brain Inspired Cortical Coding Method for Fast Clustering and Codebook Generation—0
An Efficient Procedure for Computing Bayesian Network Structure Learning—0
Efficient Second-Order Neural Network Optimization via Adaptive Trust Region Methods—0
BPLight-CNN: A Photonics-based Backpropagation Accelerator for Deep Learning—0
Efficient Search-Based Weighted Model Integration—0
Efficient Scale Estimation Methods using Lightweight Deep Convolutional Neural Networks for Visual Tracking—0
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection—0
An Efficient Privacy-aware Split Learning Framework for Satellite Communications—0
Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks—0
Efficient safe learning for controller tuning with experimental validation—0
Efficient Representations for High-Cardinality Categorical Variables in Machine Learning—0
Efficient Relational Learning with Hidden Variable Detection—0
Bottom-up robust modeling for the foraging behavior of Physarum polycephalum—0
An efficient optimization based microstructure reconstruction approach with multiple loss functions—0
Efficient Regularized Least-Squares Algorithms for Conditional Ranking on Relational Data—0
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence—0
Noise-Aware Ensemble Learning for Efficient Radar Modulation Recognition—0
BOOST: Microgrid Sizing using Ordinal Optimization—0
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing—0
EfficientPose 6D: Scalable and Efficient 6D Object Pose Estimation—0
Efficient Polyp Segmentation Via Integrity Learning—0
Efficient Parallel Audio Generation using Group Masked Language Modeling—0
Efficient PAC Learning from the Crowd—0
Efficient Output Kernel Learning for Multiple Tasks—0
Efficient or Powerful? Trade-offs Between Machine Learning and Deep Learning for Mental Illness Detection on Social Media—0
Boosting Multimodal Reasoning with MCTS-Automated Structured Thinking—0
An Efficient Method for online Detection of Polychronous Patterns in Spiking Neural Network—0
Acceleration and Parallelization Methods for ISRS EGN Model—0
Efficient Oriented Object Detection with Enhanced Small Object Recognition in Aerial Images—0
Efficient Optimization Accelerator Framework for Multistate Ising Problems—0
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified