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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 7051–7100 of 10033 papers

TitleStatusHype
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning—0
Understanding the efficacy, reliability and resiliency of computer vision techniques for malware detection and future research directions—0
The Born Supremacy: Quantum Advantage and Training of an Ising Born Machine—0
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word EmbeddingsCode0
Including Physics in Deep Learning -- An example from 4D seismic pressure saturation inversionCode0
Optimized Preprocessing and Machine Learning for Quantitative Raman Spectroscopy in Biology—0
Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming—0
OpBerg: Discovering causal sentences using optimal alignments—0
Modeling Vocabulary for Big Code Machine Learning—0
Empirical Evaluations of Active Learning Strategies in Legal Document Review—0
Stratum: A Serverless Framework for Lifecycle Management of Machine Learning based Data Analytics Tasks—0
Estimating Chlorophyll a Concentrations of Several Inland Waters with Hyperspectral Data and Machine Learning Models—0
A Game of Dice: Machine Learning and the Question Concerning Art—0
Convergence rates for the stochastic gradient descent method for non-convex objective functions—0
Unveiling phase transitions with machine learningCode0
Identifying Patients with Pain in Emergency Departments using Conventional Machine Learning and Deep Learning—0
Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey—0
Customer churn prediction in telecom using machine learning and social network analysis in big data platform—0
An Atomistic Machine Learning Package for Surface Science and CatalysisCode0
Adaptive Bayesian Linear Regression for Automated Machine Learning—0
Bayesian Optimization for Policy Search via Online-Offline Experimentation—0
Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction—0
Optimal Obfuscation Mechanisms via Machine LearningCode0
Engineering problems in machine learning systems—0
SysML'19 demo: customizable and reusable Collective Knowledge pipelines to automate and reproduce machine learning experiments—0
Fourier Transform Approach to Machine Learning I: Fourier Regression—0
Nonparametric Density Estimation for High-Dimensional Data - Algorithms and Applications—0
GraSPy: Graph Statistics in PythonCode0
MLSys: The New Frontier of Machine Learning Systems—0
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning SystemsCode1
A Machine Learning Framework for Biometric Authentication using ElectrocardiogramCode0
Automated discovery of GPCR bioactive ligands—0
Building Automated Survey Coders via Interactive Machine Learning—0
Using Latent Class Analysis to Identify ARDS Sub-phenotypes for Enhanced Machine Learning Predictive Performance—0
Sensing Social Media Signals for Cryptocurrency News—0
A novel machine learning based framework for detection of Autism Spectrum Disorder (ASD)—0
Do Not Trust Additive ExplanationsCode0
Radiological images and machine learning: trends, perspectives, and prospects—0
Rallying Adversarial Techniques against Deep Learning for Network Security—0
Netherlands Dataset: A New Public Dataset for Machine Learning in Seismic Interpretation—0
Augmented Ultrasonic Data for Machine LearningCode1
Interoperability and machine-to-machine translation model with mappings to machine learning tasks—0
Data Science and Digital Systems: The 3Ds of Machine Learning Systems Design—0
Cross-Modal Data Programming Enables Rapid Medical Machine Learning—0
Machine learning approaches in Detecting the Depression from Resting-state Electroencephalogram (EEG): A Review Study—0
SuSi: Supervised Self-Organizing Maps for Regression and Classification in PythonCode0
Generative Tensor Network Classification Model for Supervised Machine Learning—0
Sparse Learning for Variable Selection with Structures and Nonlinearities—0
A Novel Pixel-Averaging Technique for Extracting Training Data from a Single Image, Used in ML-Based Image Enlargement—0
Computational and Robotic Models of Early Language Development: A Review—0
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Benchmark Results

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1Fb232account and password 100—Unverified