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 3651–3675 of 4891 papers

TitleStatusHype
RankingMatch: Delving into Semi-Supervised Learning with Consistency Regularization and Ranking Loss—0
A study on the efficacy of model pre-training in developing neural text-to-speech system—0
Predictive Maintenance for General Aviation Using Convolutional Transformers—0
Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative StudyCode1
Dropout Q-Functions for Doubly Efficient Reinforcement LearningCode1
Fast and Interpretable Consensus Clustering via Minipatch Learning—0
Self-Supervised Learning of Perceptually Optimized Block Motion Estimates for Video Compression—0
Graph Coloring: Comparing Cluster Graphs to Factor Graphs—0
A new weakly supervised approach for ALS point cloud semantic segmentation—0
Learn to Communicate with Neural Calibration: Scalability and Generalization—0
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural NetworksCode1
Equivariant Transformers for Neural Network based Molecular Potentials—0
Why does Negative Sampling not Work Well? Analysis of Convexity in Negative Sampling—0
Understanding the Variance Collapse of SVGD in High Dimensions—0
MAGNEx: A Model Agnostic Global Neural Explainer—0
A NEW BACKBONE FOR HYPERSPECTRAL IMAGE RECONSTRUCTION—0
Transformer-based Transform CodingCode1
SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search—0
L-SR1 Adaptive Regularization by Cubics for Deep Learning—0
An Attention-LSTM Hybrid Model for the Coordinated Routing of Multiple Vehicles—0
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators—0
Deep neural networks with controlled variable selection for the identification of putative causal genetic variantsCode0
Confusion-based rank similarity filters for computationally-efficient machine learning on high dimensional dataCode0
An Improved Frequent Directions Algorithm for Low-Rank Approximation via Block Krylov Iteration—0
Fast Density Estimation for Density-based Clustering Methods—0
Show:102550
← PrevPage 147 of 196Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified