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 4601–4625 of 4891 papers

TitleStatusHype
Discriminative Optimization: Theory and Applications to Point Cloud Registration—0
HSfM: Hybrid Structure-from-Motion—0
Approximate Steepest Coordinate Descent—0
The thermodynamic efficiency of computations made in cells across the range of life—0
Accelerating Bayesian Structure Learning in Sparse Gaussian Graphical ModelsCode0
AutoSVD++: An Efficient Hybrid Collaborative Filtering Model via Contractive Auto-encoders—0
On Optimistic versus Randomized Exploration in Reinforcement Learning—0
A dynamic graph-cuts method with integrated multiple feature maps for segmenting kidneys in ultrasound images—0
Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware—0
Bayesian l_0-regularized Least Squares—0
Multilevel Monte Carlo For Exponential L\'evy Models—0
Forward-Backward Selection with Early Dropping—0
Solving Almost all Systems of Random Quadratic Equations—0
Bayesian Compression for Deep LearningCode0
MMD GAN: Towards Deeper Understanding of Moment Matching NetworkCode0
Efficient and principled score estimation with Nyström kernel exponential familiesCode0
Learning to Rank Using Localized Geometric Mean MetricsCode0
Block building programming for symbolic regression—0
Machine Learning Molecular Dynamics for the Simulation of Infrared Spectra—0
Autonomous and Connected Intersection Crossing Traffic Management using Discrete-Time Occupancies Trajectory—0
Hybrid Isolation Forest - Application to Intrusion DetectionCode0
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization—0
Fast PET reconstruction using Multi-scale Fully Convolutional Neural Networks—0
Reconstruction of three-dimensional porous media using generative adversarial neural networksCode0
Improving Vision-based Self-positioning in Intelligent Transportation Systems via Integrated Lane and Vehicle Detection—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified