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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 9151–9200 of 10033 papers

TitleStatusHype
Learning molecular energies using localized graph kernels—0
Towards Robust Deep Neural Networks with BANG—0
SLA Violation Prediction In Cloud Computing: A Machine Learning PerspectiveCode0
Behavior-Based Machine-Learning: A Hybrid Approach for Predicting Human Decision Making—0
Machine Learning for Dental Image Analysis—0
Learning Features of Music from ScratchCode1
Maximizing Non-Monotone DR-Submodular Functions with Cardinality Constraints—0
Proceedings of NIPS 2016 Workshop on Interpretable Machine Learning for Complex Systems—0
Quantum Machine Learning—0
Should I use TensorFlow—0
Machine Learning on Human Connectome Data from MRI—0
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems—0
Quantum Enhanced Inference in Markov Logic Networks—0
A Business Zone Recommender System Based on Facebook and Urban Planning Data—0
MDL-motivated compression of GLM ensembles increases interpretability and retains predictive power—0
Deep Learning for the Classification of Lung Nodules—0
The Freiburg Groceries DatasetCode0
Machine Learning Approach for Skill Evaluation in Robotic-Assisted Surgery—0
The Life of Lazarillo de Tormes and of His Machine Learning Adversities—0
Embedding Projector: Interactive Visualization and Interpretation of Embeddings—0
AdversariaLib: An Open-source Library for the Security Evaluation of Machine Learning Algorithms Under Attack—0
Responses to Critiques on Machine Learning of Criminality Perceptions (Addendum of arXiv:1611.04135)—0
An Introduction to MM Algorithms for Machine Learning and Statistical—0
Low Latency Anomaly Detection and Bayesian Network Prediction of Anomaly Likelihood—0
Towards the Science of Security and Privacy in Machine Learning—0
SoK: Applying Machine Learning in Security - A Survey—0
Accelerating the BSM interpretation of LHC data with machine learning—0
Inferring low-dimensional microstructure representations using convolutional neural networks—0
Neural Networks Designing Neural Networks: Multi-Objective Hyper-Parameter Optimization—0
One Class Splitting Criteria for Random ForestsCode0
CoCoA: A General Framework for Communication-Efficient Distributed OptimizationCode0
Reinforcement Learning Approach for Parallelization in Filters Aggregation Based Feature Selection Algorithms—0
Does Distributionally Robust Supervised Learning Give Robust Classifiers?—0
Adversarial Machine Learning at ScaleCode0
Extracting Actionability from Machine Learning Models by Sub-optimal Deterministic Planning—0
PrivLogit: Efficient Privacy-preserving Logistic Regression by Tailoring Numerical Optimizers—0
Finding Approximate Local Minima Faster than Gradient DescentCode0
Quantum Laplacian Eigenmap—0
The Machine Learning Algorithm as Creative Musical Tool—0
MusicMood: Predicting the mood of music from song lyrics using machine learningCode0
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy GamesCode0
Optimization for Large-Scale Machine Learning with Distributed Features and ObservationsCode0
Machine learning methods for accurate delineation of tumors in PET images—0
FEAST: An Automated Feature Selection Framework for Compilation Tasks—0
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics—0
Machine Learning Model Interpretability for Precision Medicine—0
Discriminative Gaifman Models—0
SOL: A Library for Scalable Online Learning AlgorithmsCode1
Quantum-enhanced machine learning—0
An Improved Approach for Prediction of Parkinson's Disease using Machine Learning Techniques—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified