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 3901–3950 of 4891 papers

TitleStatusHype
Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning—0
Data-driven sparse polynomial chaos expansion for models with dependent inputs—0
ZeRO-Offload: Democratizing Billion-Scale Model TrainingCode0
Frequency-weighted H2-optimal model order reduction via oblique projection—0
CobBO: Coordinate Backoff Bayesian Optimization with Two-Stage KernelsCode1
Resolution-Based Distillation for Efficient Histology Image Classification—0
Disentangled Self-Attentive Neural Networks for Click-Through Rate PredictionCode0
A novel shape matching descriptor for real-time hand gesture recognition—0
End-to-end Prostate Cancer Detection in bpMRI via 3D CNNs: Effects of Attention Mechanisms, Clinical Priori and Decoupled False Positive ReductionCode1
A Robust and Efficient Framework for Sports-Field Registration—0
DCT-SNN: Using DCT To Distribute Spatial Information Over Time for Low-Latency Spiking Neural Networks—0
Statistically Consistent Saliency Estimation—0
RDI-Net: Relational Dynamic Inference NetworksCode0
Globally Optimal and Efficient Manhattan Frame Estimation by Delimiting Rotation Search Space—0
DTMNet: A Discrete Tchebichef Moments-Based Deep Neural Network for Multi-Focus Image Fusion—0
On Stochastic Variance Reduced Gradient Method for Semidefinite Optimization—0
DiffAutoML: Differentiable Joint Optimization for Efficient End-to-End Automated Machine Learning—0
Rethinking Convolution: Towards an Optimal Efficiency—0
Estimation of Number of Communities in Assortative Sparse Networks—0
Optimizing Over All Sequences of Orthogonal Polynomials—0
Self-Supervised Learning of Compressed Video Representations—0
Bayesian Neural Networks with Variance Propagation for Uncertainty Evaluation—0
A Simple Unified Information Regularization Framework for Multi-Source Domain Adaptation—0
Optimizing Quantized Neural Networks with Natural Gradient—0
DIET-SNN: A Low-Latency Spiking Neural Network with Direct Input Encoding & Leakage and Threshold Optimization—0
Balancing training time vs. performance with Bayesian Early Pruning—0
Adjusted chi-square test for degree-corrected block modelsCode0
A Doubly Stochastic Simulator with Applications in Arrivals Modeling and SimulationCode0
A non-alternating graph hashing algorithm for large scale image searchCode0
StainNet: a fast and robust stain normalization networkCode1
Multi-grained Trajectory Graph Convolutional Networks for Habit-unrelated Human Motion Prediction—0
Molecular CT: Unifying Geometry and Representation Learning for Molecules at Different Scales—0
Unifying Homophily and Heterophily Network Transformation via Motifs—0
Characterizing the Evasion Attackability of Multi-label Classifiers—0
MIX : a Multi-task Learning Approach to Solve Open-Domain Question Answering—0
Optimal transport for vector Gaussian mixture models—0
Scalable Verification of Quantized Neural Networks (Technical Report)Code0
INSPIRE: Intensity and spatial information-based deformable image registrationCode1
Monocular Real-time Full Body Capture with Inter-part Correlations—0
An empirical evaluation of functional alignment using inter-subject decodingCode1
Learning to Generate Content-Aware Dynamic Detectors—0
EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNINGCode1
IHashNet: Iris Hashing Network based on efficient multi-index hashing—0
Linear Reduced Order Model Predictive ControlCode1
A Hierarchical Deep Actor-Critic Learning Method for Joint Distribution System State Estimation—0
Forecast with Forecasts: Diversity Matters—0
Gaussian Process-based Approach for Bilevel Optimization in the Power System -- A Critical Load Restoration Case—0
Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning—0
On Efficiency in Hierarchical Reinforcement Learning—0
Efficient Assessment of Electricity Distribution Network Adequacy with the Cross-Entropy Method—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified