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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 251300 of 10033 papers

TitleStatusHype
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learningCode1
fastMRI: An Open Dataset and Benchmarks for Accelerated MRICode1
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine LearningCode1
A Survey of Machine Learning Techniques in Adversarial Image ForensicsCode1
Cyberbullying Detection with Fairness ConstraintsCode1
Cyclic Boosting -- an explainable supervised machine learning algorithmCode1
DaST: Data-free Substitute Training for Adversarial AttacksCode1
CryptoNN: Training Neural Networks over Encrypted DataCode1
A benchmark study on reliable molecular supervised learning via Bayesian learningCode1
Crystal structure prediction with machine learning-based element substitutionCode1
An Empirical Study of Personalized Federated LearningCode1
CryptGPU: Fast Privacy-Preserving Machine Learning on the GPUCode1
Cyber Attack Detection thanks to Machine Learning AlgorithmsCode1
Data Curation and Quality Assurance for Machine Learning-based Cyber Intrusion DetectionCode1
Density Encoding Enables Resource-Efficient Randomly Connected Neural NetworksCode1
A community-powered search of machine learning strategy space to find NMR property prediction modelsCode1
Convolutional LSTM Network: A Machine Learning Approach for Precipitation NowcastingCode1
Convolutional neural networks: a magic bullet for gravitational-wave detection?Code1
Conjecturing-Based Discovery of Patterns in DataCode1
Consistent Individualized Feature Attribution for Tree EnsemblesCode1
copent: Estimating Copula Entropy and Transfer Entropy in RCode1
Compute Trends Across Three Eras of Machine LearningCode1
Computationally Tractable Riemannian Manifolds for Graph EmbeddingsCode1
Confidence Intervals for Testing Disparate Impact in Fair LearningCode1
Combining SchNet and SHARC: The SchNarc machine learning approach for excited-state dynamicsCode1
AIPerf: Automated machine learning as an AI-HPC benchmarkCode1
Compliance Generation for Privacy Documents under GDPR: A Roadmap for Implementing Automation and Machine LearningCode1
Conformal Prediction using Conditional HistogramsCode1
Copula-based synthetic data augmentation for machine-learning emulatorsCode1
Coarse Graining Molecular Dynamics with Graph Neural NetworksCode1
Clinica: an open source software platform for reproducible clinical neuroscience studiesCode1
Breaking the Computation and Communication Abstraction Barrier in Distributed Machine Learning WorkloadsCode1
Chickenpox Cases in Hungary: a Benchmark Dataset for Spatiotemporal Signal Processing with Graph Neural NetworksCode1
A graph representation of molecular ensembles for polymer property predictionCode1
CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of ServiceCode1
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and GenerationCode1
By-passing the Kohn-Sham equations with machine learningCode1
Cardea: An Open Automated Machine Learning Framework for Electronic Health RecordsCode1
Brain Predictability toolbox: a Python library for neuroimaging based machine learningCode1
Born-Again Tree EnsemblesCode1
Bridging the gap to real-world for network intrusion detection systems with data-centric approachCode1
Case study: Mapping potential informal settlements areas in Tegucigalpa with machine learning to plan ground surveyCode1
Bias in Machine Learning Software: Why? How? What to do?Code1
Canonicalizing Knowledge Base LiteralsCode1
AGNet: Weighing Black Holes with Machine LearningCode1
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield PredictionCode1
Challenges in Representation Learning: A report on three machine learning contestsCode1
Characterizing metastable states with the help of machine learningCode1
Climate-Invariant Machine LearningCode1
BIKED: A Dataset for Computational Bicycle Design with Machine Learning BenchmarksCode1
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