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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 3701–3750 of 10033 papers

TitleStatusHype
Asset Allocation via Machine Learning and Applications to Equity Portfolio Management—0
Detecting Independent Pronoun Bias with Partially-Synthetic Data Generation—0
Discriminative Adversarial Domain Generalization with Meta-learning based Cross-domain ValidationCode0
Model-Agnostic Explanations using Minimal Forcing Subsets—0
Comparing Machine Learning Algorithms with or without Feature Extraction for DNA Classification—0
Rumor Detection on Twitter Using Multiloss Hierarchical BiLSTM with an Attenuation Factor—0
Differentially Private ADMM Algorithms for Machine Learning—0
Validate and Enable Machine Learning in Industrial AI—0
The Mathematical Foundations of Manifold Learning—0
Resource-Aware Pareto-Optimal Automated Machine Learning Platform—0
EEG-Based Brain-Computer Interfaces Are Vulnerable to Backdoor Attacks—0
Identifying Exoplanets with Deep Learning. IV. Removing Stellar Activity Signals from Radial Velocity Measurements Using Neural NetworksCode0
Machine Learning (In) Security: A Stream of Problems—0
The power of quantum neural networksCode1
Quasiconformal model with CNN features for large deformation image registration—0
Modern strategies for time series regression—0
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots—0
How Many Pages? Paper Length Prediction from the MetadataCode0
Detecting small polyps using a Dynamic SSD-GAN—0
Robustifying Binary Classification to Adversarial Perturbation—0
Fact or Factitious? Contextualized Opinion Spam DetectionCode1
Detection of asteroid trails in Hubble Space Telescope images using Deep Learning—0
Machine Learning Link Inference of Noisy Delay-coupled Networks with Opto-Electronic Experimental Tests—0
Turbo-AI: Iterative Machine Learning Based Channel Estimation for 2D Massive Arrays—0
Generating Knowledge Graphs by Employing Natural Language Processing and Machine Learning Techniques within the Scholarly DomainCode1
Interpretable Machine Learning Models for Predicting and Explaining Vehicle Fuel Consumption Anomalies—0
Gender Bias in Depression Detection Using Audio FeaturesCode1
Evaluating Model Robustness and Stability to Dataset Shift—0
Machine learning of solvent effects on molecular spectra and reactionsCode1
Speech-Based Emotion Recognition using Neural Networks and Information VisualizationCode0
Test Set Optimization by Machine Learning Algorithms—0
Continuous Lyapunov Controller and Chaotic Non-linear System Optimization using Deep Machine Learning—0
Image Representations Learned With Unsupervised Pre-Training Contain Human-like BiasesCode1
Traffic Refinery: Cost-Aware Data Representation for Machine Learning on Network Traffic—0
Interpretable Data-Driven Demand Modelling for On-Demand Transit Services—0
Improving Text Relationship Modeling with Artificial Data—0
Scientific intuition inspired by machine learning generated hypotheses—0
An Experimentation Platform for Explainable Coalition Situational Understanding—0
Explainable Machine Learning for Public Policy: Use Cases, Gaps, and Research DirectionsCode0
Epidemic Dynamics via Wavelet Theory and Machine Learning, with Applications to Covid-19—0
Ice Monitoring in Swiss Lakes from Optical Satellites and Webcams using Machine LearningCode1
GPUTreeShap: Massively Parallel Exact Calculation of SHAP Scores for Tree EnsemblesCode4
Fit to Measure: Reasoning about Sizes for Robust Object RecognitionCode0
The DigitalTwin from an Artificial Intelligence Perspective—0
Physics-Based Deep Learning for Fiber-Optic Communication SystemsCode1
Comprehensive evaluation of no-reference image quality assessment algorithms on authentic distortions—0
Infrared spectra of neutral polycyclic aromatic hydrocarbons by machine learning—0
Global Image Segmentation Process using Machine Learning algorithm & Convolution Neural Network method for Self- Driving Vehicles—0
Bayesian Importance of Features (BIF)Code0
One-vs.-One Mitigation of Intersectional Bias: A General Method to Extend Fairness-Aware Binary Classification—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified