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 4251–4300 of 4891 papers

TitleStatusHype
Conditional Expectation Propagation—0
A Statistical Learning Approach to Reactive Power Control in Distribution Systems—0
Learning Mixtures of Plackett-Luce Models from Structured Partial OrdersCode0
CrevNet: Conditionally Reversible Video Prediction—0
ProLFA: Representative Prototype Selection for Local Feature AggregationCode0
Context-endcoding for neural network based skull stripping in magnetic resonance imaging—0
Iterative Distance-Aware Similarity Matrix Convolution with Mutual-Supervised Point Elimination for Efficient Point Cloud RegistrationCode0
Multiphase flow prediction with deep neural networks—0
SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT PerfusionCode0
Coping With Simulators That Don’t Always Return—0
Scale-Equivariant Steerable NetworksCode0
Batch simulations and uncertainty quantification in Gaussian process surrogate approximate Bayesian computation—0
Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal RecoveryCode0
Commonsense Knowledge Base Completion with Structural and Semantic ContextCode0
Neural Multisensory Scene InferenceCode0
Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and MappingCode1
Covariance-free Partial Least Squares: An Incremental Dimensionality Reduction MethodCode0
Multiagent Rollout Algorithms and Reinforcement LearningCode0
Integrated Triaging for Fast Reading Comprehension—0
Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural NetworksCode0
Online Learning of Dynamical Systems: An Operator Theoretic Approach—0
A Refined Equilibrium Generative Adversarial Network for Retinal Vessel Segmentation—0
Meta-Learning for Variational Inference—0
Deep Auto-Deferring Policy for Combinatorial Optimization—0
Extreme Value k-means Clustering—0
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