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 3701–3750 of 4891 papers

TitleStatusHype
Bioinspired Cortex-based Fast Codebook Generation—0
Segmentation-Based vs. Regression-Based Biomarker Estimation: A Case Study of Fetus Head Circumference Assessment from Ultrasound ImagesCode0
Self-Supervised Point Cloud Registration with Deep Versatile Descriptors—0
Learning Neural Contextual Bandits Through Perturbed Rewards—0
Ab Initio Nucleic Acid Folding Simulations Using a Physics-Based Atomistic Free Energy Model—0
Online Auction-Based Incentive Mechanism Design for Horizontal Federated Learning with Budget Constraint—0
Credit Valuation Adjustment with Replacement Closeout: Theory and Algorithms—0
Deep Learning-Accelerated 3D Carbon Storage Reservoir Pressure Forecasting Based on Data Assimilation Using Surface Displacement from InSAR—0
Sketch-and-Lift: Scalable Subsampled Semidefinite Program for K-means ClusteringCode0
Nonparametric Feature Selection by Random Forests and Deep Neural Networks—0
Deep convolutional neural network for shape optimization using level-set approachCode0
An MRC Framework for Semantic Role Labeling—0
Recursive Least Squares Advantage Actor-Critic Algorithms—0
Study of Frequency domain exponential functional link network filters—0
Auction-Based Ex-Post-Payment Incentive Mechanism Design for Horizontal Federated Learning with Reputation and Contribution Measurement—0
Jointly Efficient and Optimal Algorithms for Logistic BanditsCode0
Quality-aware Part Models for Occluded Person Re-identification—0
Electric Field Models of Transcranial Magnetic Stimulation Coils with Arbitrary Geometries: Reconstruction from Incomplete Magnetic Field MeasurementsCode0
Data-Driven Outage Restoration Time Prediction via Transfer Learning with Cluster Ensembles—0
Robust Data-Driven Linear Power Flow Model with Probability Constrained Worst-Case Errors—0
MISO hierarchical inference engine satisfying the law of importation with aggregation functions—0
Scheduling HVAC loads to promote renewable generation integration with a learning-based joint chance-constrained approach—0
Dynamics-aware Adversarial Attack of 3D Sparse Convolution NetworkCode0
Learning to Minimize Cost-to-Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce—0
AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds—0
Noise Reduction and Driving Event Extraction Method for Performance Improvement on Driving Noise-based Surface Anomaly Detection—0
Composing MPC with LQR and Neural Network for Amortized Efficiency and Stable Control—0
Stacked Generative Machine Learning Models for Fast Approximations of Steady-State Navier-Stokes Equations—0
LSTM-based model predictive control with discrete inputs for irrigation scheduling—0
A Sparse Expansion For Deep Gaussian Processes—0
ST-MTL: Spatio-Temporal Multitask Learning Model to Predict Scanpath While Tracking Instruments in Robotic SurgeryCode0
DeepRLS: A Recurrent Network Architecture with Least Squares Implicit Layers for Non-blind Image Deconvolution—0
Dynamic Flow Equilibrium of Transportation and Power Distribution Networks Considering Flexible Traveling Choices and Voltage Quality Improvement—0
γ-Net: Superresolving SAR Tomographic Inversion via Deep Learning—0
Learnable Faster Kernel-PCA for Nonlinear Fault Detection: Deep Autoencoder-Based Realization—0
Self-Organized Polynomial-Time Coordination GraphsCode0
Universalizing Weak Supervision—0
SHRIMP: Sparser Random Feature Models via Iterative Magnitude PruningCode0
Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision—0
Is Class-Incremental Enough for Continual Learning?—0
Self-Supervised Camera Self-Calibration from Video—0
Multi-scale Graph Convolutional Networks with Self-Attention—0
U2-Former: A Nested U-shaped Transformer for Image Restoration—0
Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency—0
Few-Shot Data-Driven Algorithms for Low Rank Approximation—0
CondenseNeXt: An Ultra-Efficient Deep Neural Network for Embedded SystemsCode0
SimiGrad: Fine-Grained Adaptive Batching for Large Scale Training using Gradient Similarity MeasurementCode0
Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification—0
Efficient Active Learning for Gaussian Process Classification by Error Reduction—0
Hyperbolic Procrustes Analysis Using Riemannian GeometryCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified