SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7601–7625 of 10033 papers

TitleStatusHype
Intersectionality: Multiple Group Fairness in Expectation ConstraintsCode0
An overview of deep learning in medical imaging focusing on MRICode0
Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine LearningCode0
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications—0
Nonlinear Regression without i.i.d. Assumption—0
Application of Machine Learning in Fiber Nonlinearity Modeling and Monitoring for Elastic Optical Networks—0
The Error is the Feature: how to Forecast Lightning using a Model Prediction Error—0
Learning Multiple Defaults for Machine Learning Algorithms—0
Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted SettingCode0
Machine Learning for Yield Curve Feature Extraction: Application to Illiquid Corporate Bonds—0
Machine learning enables long time scale molecular photodynamics simulations—0
Oversight of Unsafe Systems via Dynamic Safety Envelopes—0
Rapid Prediction of Electron-Ionization Mass Spectrometry using Neural Networks—0
How to improve the interpretability of kernel learning—0
Steerable Wavelet Scattering for 3D Atomic Systems with Application to Li-Si Energy Prediction—0
Machine learning enables polymer cloud-point engineering via inverse designCode0
Using AI to Design Stone Jewelry—0
Machine Learning Distinguishes Neurosurgical Skill Levels in a Virtual Reality Tumor Resection Task—0
DarwinML: A Graph-based Evolutionary Algorithm for Automated Machine Learning—0
Self Organizing Classifiers: First Steps in Structured Evolutionary Machine Learning—0
State of the Art in Fair ML: From Moral Philosophy and Legislation to Fair Classifiers—0
On Human Predictions with Explanations and Predictions of Machine Learning Models: A Case Study on Deception Detection—0
Synthetic Lung Nodule 3D Image Generation Using AutoencodersCode0
Model change detection with application to machine learning—0
When Conventional machine learning meets neuromorphic engineering: Deep Temporal Networks (DTNets) a machine learning frawmework allowing to operate on Events and Frames and implantable on Tensor Flow Like Hardware—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified