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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 176–200 of 10033 papers

TitleStatusHype
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 100—Unverified