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 4751–4800 of 4891 papers

TitleStatusHype
Gene expression modelling across multiple cell-lines with MapReduce—0
Multiscale Adaptive Representation of Signals: I. The Basic Framework—0
Scatter Matrix Concordance: A Diagnostic for Regressions on Subsets of Data—0
SAR Imaging of Moving Target based on Knowledge-aided Two-dimensional Autofocus—0
Ranking Preserving Hashing for Fast Similarity Search—0
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random BasesCode0
The jigsaw puzzle of sequence phenotype inference: Piecing together Shannon entropy, importance sampling, and Empirical Bayes—0
Hierarchical recurrent neural network for skeleton based action recognition—0
Hierarchical structure-and-motion recovery from uncalibrated images—0
MatchNet: Unifying Feature and Metric Learning for Patch-Based MatchingCode0
The k-Support Norm and Convex Envelopes of Cardinality and Rank—0
Single Target Tracking Using Adaptive Clustered Decision Trees and Dynamic Multi-Level Appearance Models—0
Discriminative Shape From Shading in Uncalibrated Illumination—0
Pairwise Geometric Matching for Large-Scale Object Retrieval—0
Fast and Accurate Image Upscaling With Super-Resolution Forests—0
Hardware Compliant Approximate Image Codes—0
Illumination and Reflectance Spectra Separation of a Hyperspectral Image Meets Low-Rank Matrix Factorization—0
A Practical Guide to Randomized Matrix Computations with MATLAB ImplementationsCode0
Inner and Inter Label Propagation: Salient Object Detection in the WildCode0
Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems—0
A Bottom-up Approach for Pancreas Segmentation using Cascaded Superpixels and (Deep) Image Patch Labeling—0
Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data—0
Classification of Occluded Objects using Fast Recurrent Processing—0
Sampling Techniques for Streaming Cross Document Coreference Resolution—0
Template Kernels for Dependency ParsingCode0
When and why are log-linear models self-normalizing?—0
Incorporating Word Correlation Knowledge into Topic Modeling—0
Local, Private, Efficient Protocols for Succinct Histograms—0
Kernel Manifold AlignmentCode0
New Routes to Phylogeography—0
On learning optimized reaction diffusion processes for effective image restorationCode0
A Chaining Algorithm for Online Nonparametric Regression—0
On the consistency theory of high dimensional variable screening—0
Curvilinear-Coordinate-Based Object and Situation Assessment for Highly Automate—0
Dependent Matérn Processes for Multivariate Time Series—0
Computational and Statistical Boundaries for Submatrix Localization in a Large Noisy Matrix—0
Learning Efficient Anomaly Detectors from K-NN Graphs—0
maxDNN: An Efficient Convolution Kernel for Deep Learning with Maxwell GPUsCode0
Sparse Distance Weighted Discrimination—0
Sketch and Validate for Big Data Clustering—0
Stochastic Local Interaction (SLI) Model: Interfacing Machine Learning and Geostatistics—0
Minimizing the Number of Matching Queries for Object Retrieval—0
Fixed Point Algorithm Based on Quasi-Newton Method for Convex Minimization Problem with Application to Image Deblurring—0
Iterative Subsampling in Solution Path Clustering of Noisy Big Data—0
Scalable Non-linear Learning with Adaptive Polynomial Expansions—0
An Integer Polynomial Programming Based Framework for Lifted MAP Inference—0
On Sparse Gaussian Chain Graph Models—0
Higher-order MRFs based image super resolution: why not MAP?—0
Variational Reformulation of Bayesian Inverse ProblemsCode0
Recovery of Sparse Signals Using Multiple Orthogonal Least Squares—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1ViTaLHamming Loss0.05—Unverified