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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Showing 30763100 of 10033 papers

TitleStatusHype
A Multi-Modal and Multitask Benchmark in the Clinical Domain0
Algorithms for solving optimization problems arising from deep neural net models: nonsmooth problems0
Discovering Interpretable Machine Learning Models in Parallel Coordinates0
ABC: Efficient Selection of Machine Learning Configuration on Large Dataset0
Discovering key topics from short, real-world medical inquiries via natural language processing and unsupervised learning0
Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers0
Discovering nonlinear resonances through physics-informed machine learning0
Double Debiased Machine Learning Nonparametric Inference with Continuous Treatments0
Discovery and Separation of Features for Invariant Representation Learning0
Discrepancy, Coresets, and Sketches in Machine Learning0
Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth0
De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers0
Discrete Simulation Optimization for Tuning Machine Learning Method Hyperparameters0
Discrete Wavelet Transform-Based Prediction of Stock Index: A Study on National Stock Exchange Fifty Index0
Discretization and Machine Learning Approximation of BSDEs with a Constraint on the Gains-Process0
Compressive Classification (Machine Learning without learning)0
DiscretizationNet: A Machine-Learning based solver for Navier-Stokes Equations using Finite Volume Discretization0
Discriminant Analysis in Contrasting Dimensions for Polycystic Ovary Syndrome Prognostication0
A Unified Gradient Regularization Family for Adversarial Examples0
A unified machine learning approach to time series forecasting applied to demand at emergency departments0
Discriminating Similar Languages: Evaluations and Explorations0
Discrimination in machine learning algorithms0
A Unified Study of Machine Learning Explanation Evaluation Metrics0
Discriminative and Generative Learning for Linear Estimation of Random Signals [Lecture Notes]0
Compression Implies Generalization0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100Unverified