SOTAVerified

BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7176–7200 of 10033 papers

TitleStatusHype
Graph Kernels Based on Linear Patterns: Theoretical and Experimental ComparisonsCode0
Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications—0
Detecting Target-Area Link-Flooding DDoS Attacks using Traffic Analysis and Supervised Learning—0
Machine learning in policy evaluation: new tools for causal inferenceCode0
Continuous Integration of Machine Learning Models with ease.ml/ci: Towards a Rigorous Yet Practical Treatment—0
The principles of adaptation in organisms and machines I: machine learning, information theory, and thermodynamics—0
Optimal Algorithms for Ski Rental with Soft Machine-Learned Predictions—0
Financial series prediction using Attention LSTM—0
A Machine Learning Approach to Comment Toxicity Classification—0
TensorFlow Eager: A Multi-Stage, Python-Embedded DSL for Machine Learning—0
A Machine Learning-Based Detection Technique for Optical Fiber Nonlinearity Mitigation—0
Distributed Byzantine Tolerant Stochastic Gradient Descent in the Era of Big Data—0
Computing Nonlinear Eigenfunctions via Gradient Flow Extinction—0
Semi-supervised Learning for Quantification of Pulmonary Edema in Chest X-Ray Images—0
A Replication Study: Machine Learning Models Are Capable of Predicting Sexual Orientation From Facial Images—0
Shallow Water Bathymetry Mapping from UAV Imagery based on Machine Learning—0
Machine learning for subgroup discovery under treatment effect—0
Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure—0
Grammar Based Directed Testing of Machine Learning SystemsCode0
On Maintaining Linear Convergence of Distributed Learning and Optimization under Limited Communication—0
Developing and Using Special-Purpose Lexicons for Cohort Selection from Clinical Notes—0
Intelligent Autonomous Things on the Battlefield—0
Futuristic methods in virus genome evolution using the Third-Generation DNA sequencing and artificial neural networks—0
Quantifying error contributions of computational steps, algorithms and hyperparameter choices in image classification pipelines—0
The MBPEP: a deep ensemble pruning algorithm providing high quality uncertainty prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified