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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 7501–7550 of 10033 papers

TitleStatusHype
Racial categories in machine learning—0
Towards Identifying and Managing Sources of Uncertainty in AI and Machine Learning Models - An Overview—0
An Adversarial Approach for Explainable AI in Intrusion Detection Systems—0
FADL:Federated-Autonomous Deep Learning for Distributed Electronic Health Record—0
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness—0
Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data—0
Machine learning-guided directed evolution for protein engineering—0
Robust Classification of Financial Risk—0
Semantically-aware population health risk analyses—0
What is Interpretable? Using Machine Learning to Design Interpretable Decision-Support Systems—0
Machine Learning Classifications of Coronary Artery Disease—0
Generalised Differential Privacy for Text Document Processing—0
HELOC Applicant Risk Performance Evaluation by Topological Hierarchical Decomposition—0
Abduction-Based Explanations for Machine Learning ModelsCode0
Interlacing Personal and Reference Genomes for Machine Learning Disease-Variant Detection—0
Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models InsteadCode0
Towards Machine Learning Prediction of Deep Brain Stimulation (DBS) Intra-operative Efficacy Maps—0
A Framework for Implementing Machine Learning on Omics Data—0
50 Years of Test (Un)fairness: Lessons for Machine Learning—0
Intersectionality: Multiple Group Fairness in Expectation ConstraintsCode0
A Survey of Mobile Computing for the Visually Impaired—0
An overview of deep learning in medical imaging focusing on MRICode0
Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine LearningCode0
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications—0
Machine Learning for Yield Curve Feature Extraction: Application to Illiquid Corporate Bonds—0
Nonlinear Regression without i.i.d. Assumption—0
Application of Machine Learning in Fiber Nonlinearity Modeling and Monitoring for Elastic Optical Networks—0
Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted SettingCode0
Learning Multiple Defaults for Machine Learning Algorithms—0
The Error is the Feature: how to Forecast Lightning using a Model Prediction Error—0
Machine learning enables long time scale molecular photodynamics simulations—0
Oversight of Unsafe Systems via Dynamic Safety Envelopes—0
Machine learning enables polymer cloud-point engineering via inverse designCode0
Steerable Wavelet Scattering for 3D Atomic Systems with Application to Li-Si Energy Prediction—0
How to improve the interpretability of kernel learning—0
fastMRI: An Open Dataset and Benchmarks for Accelerated MRICode1
Rapid Prediction of Electron-Ionization Mass Spectrometry using Neural Networks—0
Using AI to Design Stone Jewelry—0
DarwinML: A Graph-based Evolutionary Algorithm for Automated Machine Learning—0
State of the Art in Fair ML: From Moral Philosophy and Legislation to Fair Classifiers—0
Self Organizing Classifiers: First Steps in Structured Evolutionary Machine Learning—0
Machine Learning Distinguishes Neurosurgical Skill Levels in a Virtual Reality Tumor Resection Task—0
Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networksCode1
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection—0
Synthetic Lung Nodule 3D Image Generation Using AutoencodersCode0
Model change detection with application to machine learning—0
When Conventional machine learning meets neuromorphic engineering: Deep Temporal Networks (DTNets) a machine learning frawmework allowing to operate on Events and Frames and implantable on Tensor Flow Like Hardware—0
Deep learning framework DNN with conditional WGAN for protein solubility prediction—0
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018—0
The Theory and Algorithm of Ergodic Inference—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified