SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 151200 of 10033 papers

TitleStatusHype
AxCell: Automatic Extraction of Results from Machine Learning PapersCode1
Automatically Optimized Gradient Boosting Trees for Classifying Large Volume High Cardinality Data Streams Under Concept DriftCode1
Automated Machine Learning Techniques for Data StreamsCode1
AutoOED: Automated Optimal Experiment Design PlatformCode1
Bayesian Tensor Network with Polynomial Complexity for Probabilistic Machine LearningCode1
Auto-KWS 2021 Challenge: Task, Datasets, and BaselinesCode1
Auto-differentiable Ensemble Kalman FiltersCode1
Automated Essay Scoring Using Transformer ModelsCode1
Augmented Ultrasonic Data for Machine LearningCode1
Attacks on Image Encryption Schemes for Privacy-Preserving Deep Neural NetworksCode1
Augmenting DL with Adversarial Training for Robust Prediction of Epilepsy SeizuresCode1
Automated Evolutionary Approach for the Design of Composite Machine Learning PipelinesCode1
BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine LearningCode1
A Survey on Machine Learning Algorithms for Applications in Cognitive Radio NetworksCode1
A Survey of Machine Learning Techniques in Adversarial Image ForensicsCode1
A Survey on Machine Learning Techniques for Source Code AnalysisCode1
A simple equivariant machine learning method for dynamics based on scalarsCode1
A semi-agnostic ansatz with variable structure for quantum machine learningCode1
A smile is all you need: Predicting limiting activity coefficients from SMILES with natural language processingCode1
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation ApproachesCode1
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 of Privacy Attacks in Machine LearningCode1
A survey on datasets for fairness-aware machine learningCode1
Atomic structure generation from reconstructing structural fingerprintsCode1
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine LearningCode1
Auditing Differentially Private Machine Learning: How Private is Private SGD?Code1
AugLiChem: Data Augmentation Library of Chemical Structures for Machine LearningCode1
A Unified View of Relational Deep Learning for Drug Pair ScoringCode1
AutoCLINT: The Winning Method in AutoCV Challenge 2019Code1
AutoGL: A Library for Automated Graph LearningCode1
AutoKE: An automatic knowledge embedding framework for scientific machine learningCode1
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and DirectionsCode1
Automated Machine Learning on Graphs: A SurveyCode1
Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human ArtistsCode1
Automating In-Network Machine LearningCode1
Open Source Software for Efficient and Transparent ReviewsCode1
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine LearningCode1
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
Benchmarking Econometric and Machine Learning Methodologies in NowcastingCode1
A Comprehensive Review on Non-Neural Networks Collaborative Filtering Recommendation SystemsCode1
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine LearningCode1
Beyond Trivial Counterfactual Explanations with Diverse Valuable ExplanationsCode1
BIKED: A Dataset for Computational Bicycle Design with Machine Learning BenchmarksCode1
Boosting on the shoulders of giants in quantum device calibrationCode1
Brain Predictability toolbox: a Python library for neuroimaging based machine learningCode1
Bridging the gap to real-world for network intrusion detection systems with data-centric approachCode1
A Comprehensive Survey on Graph Neural NetworksCode1
A Rationale-Centric Framework for Human-in-the-loop Machine LearningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified