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BIG-bench Machine Learning

This branch include most common machine learning fundamental algorithms.

Papers

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Showing 901–950 of 10033 papers

TitleStatusHype
An Overview of Compressible and Learnable Image Transformation with Secret Key and Its Applications—0
A Game-theoretic Machine Learning Approach for Revenue Maximization in Sponsored Search—0
A Game of Dice: Machine Learning and the Question Concerning Art—0
ActivationNet: Representation learning to predict contact quality of interacting 3-D surfaces in engineering designs—0
Accelerated Proximal Alternating Gradient-Descent-Ascent for Nonconvex Minimax Machine Learning—0
A Fundamental Performance Limitation for Adversarial Classification—0
2021 Drexel Society of Artificial Intelligence Research Conference—0
A Novel Pixel-Averaging Technique for Extracting Training Data from a Single Image, Used in ML-Based Image Enlargement—0
An Error Analysis Tool for Natural Language Processing and Applied Machine Learning—0
An Epistemic Approach to the Formal Specification of Statistical Machine Learning—0
A Framework to Explore Workload-Specific Performance and Lifetime Trade-offs in Neuromorphic Computing—0
Action Detection from a Robot-Car Perspective—0
Hangul Fonts Dataset: a Hierarchical and Compositional Dataset for Investigating Learned Representations—0
An Environment for Relational Annotation of Political Debates—0
An ensemble of machine learning and anti-learning methods for predicting tumour patient survival rates—0
A Framework for Verification of Wasserstein Adversarial Robustness—0
A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle—0
A neural network-based framework for financial model calibration—0
A Neural-Symbolic Approach to Design of CAPTCHA—0
A Neural Turing~Machine for Conditional Transition Graph Modeling—0
An ensemble-based online learning algorithm for streaming data—0
An Evaluation of Classification Methods for 3D Printing Time-Series Data—0
An Evaluation of the Human-Interpretability of Explanation—0
An even-load-distribution design for composite bolted joints using a novel circuit model and artificial neural networks—0
A new approach in machine learning—0
Online Capacity Scaling Augmented With Unreliable Machine Learning Predictions—0
A new boosting algorithm based on dual averaging scheme—0
Actionable Interpretation of Machine Learning Models for Sequential Data: Dementia-related Agitation Use Case—0
A New Framework for Distributed Submodular Maximization—0
A New Framework for Machine Intelligence: Concepts and Prototype—0
A Gated Recurrent Unit Approach to Bitcoin Price Prediction—0
A New Mathematical Model for Controlled Pandemics Like COVID-19 : AI Implemented Predictions—0
A new method for binary classification of proteins with Machine Learning—0
A New Perspective on Machine Learning: How to do Perfect Supervised Learning—0
A new recurrent neural network based predictive model for Faecal Calprotectin analysis: A retrospective study—0
A new robust feature selection method using variance-based sensitivity analysis—0
A News-based Machine Learning Model for Adaptive Asset Pricing—0
A New Screening Method for COVID-19 based on Ocular Feature Recognition by Machine Learning Tools—0
A New Security Boundary of Component Differentially Challenged XOR PUFs Against Machine Learning Modeling Attacks—0
A New Type of Neurons for Machine Learning—0
An Exact Poly-Time Membership-Queries Algorithm for Extraction a three-Layer ReLU Network—0
An Exercise Fatigue Detection Model Based on Machine Learning Methods—0
Accelerated Parallel Optimization Methods for Large Scale Machine Learning—0
An Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks—0
An Experimental Analysis of Work-Life Balance Among The Employees using Machine Learning Classifiers—0
A Generalized Meta-loss function for regression and classification using privileged information—0
An Experimental Study of Class Imbalance in Federated Learning—0
An Experimentation Platform for Explainable Coalition Situational Understanding—0
An experiment on the mechanisms of racial bias in ML-based credit scoring in Brazil—0
A Novel Ontology-guided Attribute Partitioning Ensemble Learning Model for Early Prediction of Cognitive Deficits using Quantitative Structural MRI in Very Preterm Infants—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Fb232account and password 100—Unverified