SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 251300 of 10033 papers

TitleStatusHype
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply ChainCode1
Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networksCode1
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine LearningCode1
fastMRI: An Open Dataset and Benchmarks for Accelerated MRICode1
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage RetrievalCode1
BAGEL: A Benchmark for Assessing Graph Neural Network ExplanationsCode1
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine LearningCode1
Bias in Automated Speaker RecognitionCode1
CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of ServiceCode1
Data Curation and Quality Assurance for Machine Learning-based Cyber Intrusion DetectionCode1
A community-powered search of machine learning strategy space to find NMR property prediction modelsCode1
Automating In-Network Machine LearningCode1
Automated Machine Learning Techniques for Data StreamsCode1
Automated Machine Learning on Graphs: A SurveyCode1
Automatically Optimized Gradient Boosting Trees for Classifying Large Volume High Cardinality Data Streams Under Concept DriftCode1
AutoOED: Automated Optimal Experiment Design PlatformCode1
Automated Essay Scoring Using Transformer ModelsCode1
Auto-KWS 2021 Challenge: Task, Datasets, and BaselinesCode1
Automated Evolutionary Approach for the Design of Composite Machine Learning PipelinesCode1
AutoGL: A Library for Automated Graph LearningCode1
Auto-differentiable Ensemble Kalman FiltersCode1
AutoKE: An automatic knowledge embedding framework for scientific machine learningCode1
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and DirectionsCode1
Augmented Ultrasonic Data for Machine LearningCode1
AugLiChem: Data Augmentation Library of Chemical Structures for Machine LearningCode1
Augmenting DL with Adversarial Training for Robust Prediction of Epilepsy SeizuresCode1
Atomic structure generation from reconstructing structural fingerprintsCode1
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine LearningCode1
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural NetworksCode1
A Unified View of Relational Deep Learning for Drug Pair ScoringCode1
A Survey of Machine Learning Techniques in Adversarial Image ForensicsCode1
Open Source Software for Efficient and Transparent ReviewsCode1
A Survey of Privacy Attacks in Machine LearningCode1
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation ApproachesCode1
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine LearningCode1
Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human ArtistsCode1
A Data-Centric Optimization Framework for Machine LearningCode1
Achieving Fairness at No Utility Cost via Data Reweighing with InfluenceCode1
A Distributed Trust Framework for Privacy-Preserving Machine LearningCode1
A semi-agnostic ansatz with variable structure for quantum machine learningCode1
A simple equivariant machine learning method for dynamics based on scalarsCode1
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 Label-noise Representation Learning: Past, Present and FutureCode1
A Survey on Machine Learning Algorithms for Applications in Cognitive Radio NetworksCode1
A Survey on Machine Learning Techniques for Source Code AnalysisCode1
A survey on datasets for fairness-aware machine learningCode1
AutoCLINT: The Winning Method in AutoCV Challenge 2019Code1
Auditing Differentially Private Machine Learning: How Private is Private SGD?Code1
AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational DataCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified