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

Showing 45764600 of 4891 papers

TitleStatusHype
Stochastic Conjugate Gradient Algorithm with Variance ReductionCode0
Sparse Diffusion-Convolutional Neural Networks0
Efficient Data-Driven Geologic Feature Detection from Pre-stack Seismic Measurements using Randomized Machine-Learning Algorithm0
Lasso Regularization Paths for NARMAX Models via Coordinate DescentCode0
Local-To-Global Point Cloud Registration Using a Dictionary of Viewpoint Descriptors0
Sparse Exact PGA on Riemannian Manifolds0
Image Super-Resolution Using Dense Skip ConnectionsCode0
Low Compute and Fully Parallel Computer Vision With HashMatch0
A Deep Learning Model for Traffic Flow State Classification Based on Smart Phone Sensor Data0
Inference in Graphical Models via Semidefinite Programming Hierarchies0
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving0
DPC-Net: Deep Pose Correction for Visual LocalizationCode0
Roll-back Hamiltonian Monte Carlo0
Locating 3D Object Proposals: A Depth-Based Online Approach0
Supervised Dimensionality Reduction for Big DataCode0
Dynamic Tensor Clustering0
Deep vs. Diverse Architectures for Classification Problems0
Portfolio Optimization with Entropic Value-at-Risk0
Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism0
Learning Deep Architectures via Generalized Whitened Neural Networks0
Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning0
Attentional Correlation Filter Network for Adaptive Visual TrackingCode0
Fast Screening Algorithm for Rotation and Scale Invariant Template Matching0
Learning linear structural equation models in polynomial time and sample complexity0
Discriminative Optimization: Theory and Applications to Computer Vision Problems0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05Unverified