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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 8901–8925 of 10033 papers

TitleStatusHype
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter ValuesCode0
Local Explanation of Dimensionality ReductionCode0
Emotion Recognition of the Singing Voice: Toward a Real-Time Analysis Tool for SingersCode0
MLIC: A MaxSAT-Based framework for learning interpretable classification rulesCode0
Generalizing from a Few Examples: A Survey on Few-Shot LearningCode0
Local Intrinsic Dimensionality Signals Adversarial PerturbationsCode0
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and BeyondCode0
EMFET: E-mail Features Extraction ToolCode0
StreamBrain: An HPC Framework for Brain-like Neural Networks on CPUs, GPUs and FPGAsCode0
MLitB: Machine Learning in the BrowserCode0
FigureQA: An Annotated Figure Dataset for Visual ReasoningCode0
Characterizing and evaluating adversarial examples for Offline Handwritten Signature VerificationCode0
Challenges in Deploying Machine Learning: a Survey of Case StudiesCode0
Data Assimilation NetworksCode0
Challenges for machine learning in clinical translation of big data imaging studiesCode0
LOGAN: Local Group Bias Detection by ClusteringCode0
Random Walks on Hypergraphs with Edge-Dependent Vertex WeightsCode0
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in PythonCode0
Automated Directed Fairness TestingCode0
MLMOD: Machine Learning Methods for Data-Driven Modeling in LAMMPSCode0
Elvet -- a neural network-based differential equation and variational problem solverCode0
Finding Approximate Local Minima Faster than Gradient DescentCode0
CYCLADES: Conflict-free Asynchronous Machine LearningCode0
Finding Structure and Causality in Linear ProgramsCode0
Streaming Classification of Variable StarsCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified