SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 251275 of 10033 papers

TitleStatusHype
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learningCode1
Equivariant Graph Neural Networks for 3D Macromolecular StructureCode1
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine LearningCode1
Auto-differentiable Ensemble Kalman FiltersCode1
A benchmark study on reliable molecular supervised learning via Bayesian learningCode1
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural NetworksCode1
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine LearningCode1
Atomic structure generation from reconstructing structural fingerprintsCode1
Auditing Differentially Private Machine Learning: How Private is Private SGD?Code1
AutoGL: A Library for Automated Graph LearningCode1
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply ChainCode1
Breaking the Computation and Communication Abstraction Barrier in Distributed Machine Learning WorkloadsCode1
A community-powered search of machine learning strategy space to find NMR property prediction modelsCode1
A Survey of Label-noise Representation Learning: Past, Present and FutureCode1
A Survey of Machine Learning Techniques in Adversarial Image ForensicsCode1
Open Source Software for Efficient and Transparent ReviewsCode1
A smile is all you need: Predicting limiting activity coefficients from SMILES with natural language processingCode1
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data SetCode1
A Survey of Privacy Attacks in Machine LearningCode1
Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human ArtistsCode1
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation ApproachesCode1
A semi-agnostic ansatz with variable structure for quantum machine learningCode1
A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph PerspectiveCode1
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine LearningCode1
A simple equivariant machine learning method for dynamics based on scalarsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified