SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 101150 of 10033 papers

TitleStatusHype
Benchmarking Econometric and Machine Learning Methodologies in NowcastingCode1
Behavioral Factors in Interactive Training of Text ClassifiersCode1
Benchmarking machine learning models on multi-centre eICU critical care datasetCode1
BAGEL: A Benchmark for Assessing Graph Neural Network ExplanationsCode1
A graph representation of molecular ensembles for polymer property predictionCode1
AxCell: Automatic Extraction of Results from Machine Learning PapersCode1
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine LearningCode1
Challenges in Representation Learning: A report on three machine learning contestsCode1
Automatically Optimized Gradient Boosting Trees for Classifying Large Volume High Cardinality Data Streams Under Concept DriftCode1
Automated Machine Learning Techniques for Data StreamsCode1
Automating In-Network Machine LearningCode1
AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational DataCode1
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage RetrievalCode1
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply ChainCode1
Bayesian Tensor Network with Polynomial Complexity for Probabilistic Machine LearningCode1
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine LearningCode1
AIPerf: Automated machine learning as an AI-HPC benchmarkCode1
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and DirectionsCode1
Automated Evolutionary Approach for the Design of Composite Machine Learning PipelinesCode1
Bias in Automated Speaker RecognitionCode1
BIKED: A Dataset for Computational Bicycle Design with Machine Learning BenchmarksCode1
Boosting on the shoulders of giants in quantum device calibrationCode1
A Machine Learning Approach to Forecasting Remotely Sensed Vegetation HealthCode1
Bridging the gap to real-world for network intrusion detection systems with data-centric approachCode1
Canonicalizing Knowledge Base LiteralsCode1
Cardea: An Open Automated Machine Learning Framework for Electronic Health RecordsCode1
Automated Machine Learning on Graphs: A SurveyCode1
AutoKE: An automatic knowledge embedding framework for scientific machine learningCode1
Afro-MNIST: Synthetic generation of MNIST-style datasets for low-resource languagesCode1
Auto-KWS 2021 Challenge: Task, Datasets, and BaselinesCode1
A flow-based IDS using Machine Learning in eBPFCode1
Against All Odds: Winning the Defense Challenge in an Evasion Competition with DiversificationCode1
AGNet: Weighing Black Holes with Machine LearningCode1
Automated Essay Scoring Using Transformer ModelsCode1
AutoOED: Automated Optimal Experiment Design PlatformCode1
A Unified View of Relational Deep Learning for Drug Pair ScoringCode1
Aerial Imagery Pile burn detection using Deep Learning: the FLAME datasetCode1
AutoCLINT: The Winning Method in AutoCV Challenge 2019Code1
ADVISER: A Toolkit for Developing Multi-modal, Multi-domain and Socially-engaged Conversational AgentsCode1
A Broad-Coverage Challenge Corpus for Sentence Understanding through InferenceCode1
Aequitas: A Bias and Fairness Audit ToolkitCode1
Auto-differentiable Ensemble Kalman FiltersCode1
Adversarial Robustness for CodeCode1
Augmented Ultrasonic Data for Machine LearningCode1
A GNN-RNN Approach for Harnessing Geospatial and Temporal Information: Application to Crop Yield PredictionCode1
AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model ValidationCode1
A Machine Learning Benchmark for Facies ClassificationCode1
Augmenting DL with Adversarial Training for Robust Prediction of Epilepsy SeizuresCode1
AutoGL: A Library for Automated Graph LearningCode1
Characterizing metastable states with the help of machine learningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified