SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 5726–5750 of 10033 papers

TitleStatusHype
Performance portability through machine learning guided kernel selection in SYCL libraries—0
Performance Prediction and Optimization of Solar Water Heater via a Knowledge-Based Machine Learning Method—0
Performing Highly Accurate Predictions Through Convolutional Networks for Actual Telecommunication Challenges—0
Performing Image Classification for 10 Different Monkey Species using CNN—0
Permutation NMF—0
Per-sample Prediction Intervals for Extreme Learning Machines—0
Persistence Codebooks for Topological Data Analysis—0
Machine learning with persistent homology and chemical word embeddings improves prediction accuracy and interpretability in metal-organic frameworks—0
Persistent homology-based descriptor for machine-learning potential of amorphous structures—0
Persistent homology machine learning for fingerprint classification—0
Persistent spectral based machine learning (PerSpect ML) for drug design—0
Personal Identification Using Ultrawideband Radar Measurement of Walking and Sitting Motions and a Convolutional Neural Network—0
Personality Assessment from Text for Machine Commonsense Reasoning—0
Personality Traits Recognition in Literary Texts—0
Personalized and Private Peer-to-Peer Machine Learning—0
Personalized and Reliable Decision Sets: Enhancing Interpretability in Clinical Decision Support Systems—0
Personalized Colorectal Cancer Survivability Prediction with Machine Learning Methods—0
Personalized explanation in machine learning: A conceptualization—0
Personalized Machine Learning for Robot Perception of Affect and Engagement in Autism Therapy—0
Personalized Online Machine Learning—0
Individualized PATE: Differentially Private Machine Learning with Individual Privacy Guarantees—0
Personalized Prognostic Models for Oncology: A Machine Learning Approach—0
Personalized Treatment for Coronary Artery Disease Patients: A Machine Learning Approach—0
Perspective: Energy Landscapes for Machine Learning—0
Perspectives on Machine Learning from Psychology's Reproducibility Crisis—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified