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 4276–4300 of 4891 papers

TitleStatusHype
A Non-asymptotic comparison of SVRG and SGD: tradeoffs between compute and speed—0
GraphQA: Protein Model Quality Assessment using Graph Convolutional NetworkCode0
Low Rank Training of Deep Neural Networks for Emerging Memory Technology—0
Non-negative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications—0
The column measure and Gradient-Free Gradient Boosting—0
Augmented Memory for Correlation Filters in Real-Time UAV TrackingCode0
Sparse Canonical Correlation Analysis via Concave Minimization—0
BAFFLE : Blockchain Based Aggregator Free Federated LearningCode0
A Fast and Robust Place Recognition Approach for Stereo Visual Odometry Using LiDAR DescriptorsCode0
Efficient 3D Fully Convolutional Networks for Pulmonary Lobe Segmentation in CT ImagesCode0
Street Crossing Aid Using Light-weight CNNs for the Visually ImpairedCode0
Estimation and Applications of Quantile Regression for Binary Longitudinal Data—0
MSSTN: Multi-Scale Spatial Temporal Network for Air Pollution PredictionCode0
Ensemble Learning Based Convex Approximation of Three-Phase Power Flow—0
Implicit Regularization for Optimal Sparse RecoveryCode0
Fast And Efficient Boolean Matrix Factorization By Geometric Segmentation—0
Road Mapping In LiDAR Images Using A Joint-Task Dense Dilated Convolutions Merging Network—0
Extracting and Learning a Dependency-Enhanced Type Lexicon for Dutch—0
On Learning Disentangled Representations for Gait Recognition—0
A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs—0
PISEP^2: Pseudo Image Sequence Evolution based 3D Pose Prediction—0
Likelihood-Free Overcomplete ICA and Applications in Causal DiscoveryCode0
Deep learning networks for selection of persistent scatterer pixels in multi-temporal SAR interferometric processing—0
Deep Morphological Neural Networks—0
Object Viewpoint Classification Based 3D Bounding Box Estimation for Autonomous Vehicles—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified