SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 401425 of 10033 papers

TitleStatusHype
A simple equivariant machine learning method for dynamics based on scalarsCode1
Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolationCode1
Adversarial Robustness for CodeCode1
A semi-agnostic ansatz with variable structure for quantum machine learningCode1
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object TrackingCode1
A smile is all you need: Predicting limiting activity coefficients from SMILES with natural language processingCode1
From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication SystemsCode1
From Things' Modeling Language (ThingML) to Things' Machine Learning (ThingML2)Code1
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation ApproachesCode1
Fuzzy c-Means Clustering for Persistence DiagramsCode1
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine LearningCode1
GEMA: An open-source Python library for self-organizing-mapsCode1
Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human ArtistsCode1
AdViCE: Aggregated Visual Counterfactual Explanations for Machine Learning Model ValidationCode1
Open Source Software for Efficient and Transparent ReviewsCode1
AGNet: Weighing Black Holes with Machine LearningCode1
A Survey on Machine Learning Techniques for Source Code AnalysisCode1
GNNExplainer: Generating Explanations for Graph Neural NetworksCode1
Aequitas: A Bias and Fairness Audit ToolkitCode1
Aerial Imagery Pile burn detection using Deep Learning: the FLAME datasetCode1
Graph Convolutional Networks for Road NetworksCode1
A Rationale-Centric Framework for Human-in-the-loop Machine LearningCode1
GrASP: A Library for Extracting and Exploring Human-Interpretable Textual PatternsCode1
Grouped Feature Importance and Combined Features Effect PlotCode1
A quantum algorithm for training wide and deep classical neural networksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified